diff --git a/.vs/ProjectSettings.json b/.vs/ProjectSettings.json new file mode 100644 index 0000000..2b7b33d --- /dev/null +++ b/.vs/ProjectSettings.json @@ -0,0 +1,3 @@ +{ + "CurrentProjectSetting": "x64-Debug (default)" +} \ No newline at end of file diff --git a/.vs/VSWorkspaceState.json b/.vs/VSWorkspaceState.json new file mode 100644 index 0000000..d37064c --- /dev/null +++ b/.vs/VSWorkspaceState.json @@ -0,0 +1,10 @@ +{ + "ExpandedNodes": [ + "", + "\\Project2-Stream-Compaction", + "\\Project2-Stream-Compaction\\src", + "\\Project2-Stream-Compaction\\stream_compaction" + ], + "SelectedNode": "\\Project2-Stream-Compaction\\src\\main.cpp", + "PreviewInSolutionExplorer": false +} \ No newline at end of file diff --git a/.vs/launch.vs.json b/.vs/launch.vs.json new file mode 100644 index 0000000..8bd845e --- /dev/null +++ b/.vs/launch.vs.json @@ -0,0 +1,11 @@ +{ + "version": "0.2.1", + "defaults": {}, + "configurations": [ + { + "type": "default", + "project": "Project2-Stream-Compaction\\CMakeLists.txt", + "name": "CMakeLists.txt" + } + ] +} \ No newline at end of file diff --git a/.vs/slnx.sqlite b/.vs/slnx.sqlite new file mode 100644 index 0000000..164e487 Binary files /dev/null and b/.vs/slnx.sqlite differ diff --git a/Project2-Character-Recognition/.gitignore b/Project2-Character-Recognition/.gitignore index a59ec56..0e26547 100644 --- a/Project2-Character-Recognition/.gitignore +++ b/Project2-Character-Recognition/.gitignore @@ -5,7 +5,6 @@ cis565_getting_started_generated_kernel* *.sln *.vcxproj *.xcodeproj -build # Created by https://www.gitignore.io/api/linux,osx,sublimetext,windows,jetbrains,vim,emacs,cmake,c++,cuda,visualstudio,webstorm,eclipse,xcode diff --git a/Project2-Character-Recognition/CMakeLists.txt b/Project2-Character-Recognition/CMakeLists.txt index 09e9198..e88d017 100644 --- a/Project2-Character-Recognition/CMakeLists.txt +++ b/Project2-Character-Recognition/CMakeLists.txt @@ -22,6 +22,7 @@ if(${CMAKE_SYSTEM_NAME} MATCHES "Darwin") endif() include_directories(.) +link_directories(${CUDA_TOOLKIT_ROOT_DIR}/lib/x64) add_subdirectory(character_recognition) cuda_add_executable(${CMAKE_PROJECT_NAME} @@ -31,5 +32,7 @@ cuda_add_executable(${CMAKE_PROJECT_NAME} target_link_libraries(${CMAKE_PROJECT_NAME} character_recognition + cublas + curand ${CORELIBS} ) diff --git a/Project2-Character-Recognition/README.md b/Project2-Character-Recognition/README.md index 4503fac..be18150 100644 --- a/Project2-Character-Recognition/README.md +++ b/Project2-Character-Recognition/README.md @@ -1,14 +1,107 @@ CUDA Character Recognition ====================== -**University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 2** +University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 2** -* (TODO) YOUR NAME HERE - * (TODO) [LinkedIn](), [personal website](), [twitter](), etc. -* Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab) +* Saket Karve + * [LinkedIn](https://www.linkedin.com/in/saket-karve-43930511b/), [twitter](), etc. +* Tested on: Windows 10 Education, Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz 16GB, NVIDIA Quadro P1000 @ 4GB (Moore 100B Lab) -### (TODO: Your README) +### Description + +This repository contains the CUDA implementation of a Multi Layer Perceptron (MLP). The network has a architecture having one hidden layer and can be used to train and learn mappings between any inputs and labels. The inputs to the network should be one dimensional. The network can then be trained on a data set for some classification task. Once trained, the network can be forward propogated to make predictions for any input (even those not in the dataset used for training). + +The input size, hidden layer size (number of perceptron units in a layer) and the output size (the number of classes to classify into) can be easily configured for the network. The network uses non-linear activation functions in the hidden units and the output layer to convert the final outputs into probabilities (or say confidence) of classifying in a given class. + +### The Neural Network Architecture + +The complete neural network architecture implemented can be picturized as follows, + +![](img/mlp.png) +[Image reference](https://www.google.com/url?sa=i&source=images&cd=&ved=2ahUKEwjFj--K3djkAhWsq1kKHWfaCkAQjRx6BAgBEAQ&url=https%3A%2F%2Fwww.cc.gatech.edu%2F~san37%2Fpost%2Fdlhc-fnn%2F&psig=AOvVaw3n6z_jJ1Gt-TEhuC_wXEFM&ust=1568839521037348) + +The network implemented has a single hidden layer. The size of the hidden layer can be easily configured during initializing the network. The input layer will have size equal to the dimension of the each input. The output layer will similarly have a size equal to the number of classes to be used for classification. + +We need to use a non-linear function after passing through each layer of the network till the last layer. This is to make sure the neural network does not learn a linear function eventually. So, I have used the sigmoid activation function after the hidden layer. The Sigmoid function takes the form as shown in the below figure. + +![](img/sigmoid.jpg) +[Image reference](https://www.google.com/url?sa=i&source=images&cd=&ved=2ahUKEwjgrNPqztjkAhVow1kKHeCzBIIQjRx6BAgBEAQ&url=https%3A%2F%2Ftwitter.com%2Fhashtag%2Fsigmoid&psig=AOvVaw3DJLoIr81ZD90Mq1ZBwYQj&ust=1568835764647240) + +At the end of the last layer, to transform the outputs to look like probabilities, we use the softmax function. This makes sure the outputs for all classes sum to 1. + +The symbols used subsequently will mean the following, +- N : Number of instances in the data set +- H : Size of the hidden layer +- C : Number of classes +- F : Dimension of each input instance +- W1 : Weight matrix between input and hidden layer +- W2 : Weight matrix between hidden and output layer + +The dimensions of each layers and weight matrices used are as follows, +- Input Layer : N x F +- Hidden Layer : N x H +- Output Layer : N x C +- W1 : F x H +- W2 : H x C + +### Training Process + +Before training the network, the network parameters explained in the above section need to be initialized. This is done using the ```initialize_network()``` method. + +Once the network is initialized, the ```train()``` function can be called which will perform training for as many epochs (iterations) as specified by the user. + +**BACKPROPOGATION + +The training performs these operations in the following order and is looped over every iteration. +- Forward pass through the network - this will generate the values of the output layer (probabilities for each class) +- Compute the loss for the pass +- Compute the gradients of the loss with respect to each weight +- Update all the weights + +### Making predictions + +Forward passing through the network for any input image will output the predicted class. It will also give the confidence the neural network classifies the input image in the predicted class. + +### Analysis of the training process + +I tested the implementation first on the XOR function. The network converged in arounnd 1500 epochs. After training for these many iterations, the netowrk could give accurate predictions for the XOR function almost 100% of the time. + +The architecture of the neural network used to train can be found in the following figure, + +![](img/xor_network.svg) + +Number of epcohs for convergence = 1500 +Final Loss = +Test accuracy = 100% + +The training plot of the network tested on the XOR function can be seen in the following figure. + +![](img/training_curve_xor.PNG) + +After testing for the XOR function, I loaded the character recognition dataset and trainied the network on it. + +Based on the architecture created, the network converged in around 30 epochs. I trained it for 50 epochs with 200 hidden units. + +Number of epcohs for convergence = 30 +Final Loss = +Test accuracy = 100% + +The training plot of the network tested on the Character Recognition can be seen in the following figure. + +![](img/training_curve_character.PNG) + +I also tested the networks performance for different network architectures (number of perceptron in the hidden layer). The following figure shows the comparison. + +![](img/training_curve_layers.PNG) + +The trained weights can be found [here](img/trained_weights_200_layers.xlsx) + +### Testing the network + +I tested the network on all the images in the data-set in a reverse order to make sure the network has not learned the order and has actually learned the mapping. + +The predictions for all tests are as shown in the following figure. The figure shows the true labels, the predicted class and the probabilities associated with the class. + +![](img/MLP_test_predictions.PNG) -Include analysis, etc. (Remember, this is public, so don't put -anything here that you don't want to share with the world.) diff --git a/Project2-Character-Recognition/character_recognition/CMakeLists.txt b/Project2-Character-Recognition/character_recognition/CMakeLists.txt index 7446175..9e834c1 100644 --- a/Project2-Character-Recognition/character_recognition/CMakeLists.txt +++ b/Project2-Character-Recognition/character_recognition/CMakeLists.txt @@ -7,5 +7,5 @@ set(SOURCE_FILES cuda_add_library(character_recognition ${SOURCE_FILES} - OPTIONS -arch=sm_20 + OPTIONS -arch=sm_61 ) diff --git a/Project2-Character-Recognition/character_recognition/common.cu b/Project2-Character-Recognition/character_recognition/common.cu index 2a754d4..71665e1 100644 --- a/Project2-Character-Recognition/character_recognition/common.cu +++ b/Project2-Character-Recognition/character_recognition/common.cu @@ -13,3 +13,4 @@ void checkCUDAErrorFn(const char *msg, const char *file, int line) { fprintf(stderr, ": %s: %s\n", msg, cudaGetErrorString(err)); exit(EXIT_FAILURE); } + diff --git a/Project2-Character-Recognition/character_recognition/mlp.cu b/Project2-Character-Recognition/character_recognition/mlp.cu index 5a3ed7f..fbabfbb 100644 --- a/Project2-Character-Recognition/character_recognition/mlp.cu +++ b/Project2-Character-Recognition/character_recognition/mlp.cu @@ -1,7 +1,224 @@ #include #include +#include +#include #include "common.h" #include "mlp.h" +#include "device_launch_parameters.h" +#include +#include +#include + +#define checkCUDAErrorWithLine(msg) checkCUDAError(msg, __LINE__) + +#define blockSize 128 + +int number_of_instances; +int number_of_features; +int hidden_layer_size; +int number_of_classes; +float* learning_rate; + +float *weight_input_hidden; +float* weight_hidden_output; + +float *weight_input_hidden_gradient; +float* weight_hidden_output_gradient; + +float* dev_input; +float* dev_true_labels; +float* dev_test_input; + +float* output; +float* hidden; + +float* output_non_linear; +float* hidden_non_linear; + +float* temp_loss; +float* loss_per_epoch; +float* all_losses; + +//Print matrix A(nr_rows_A, nr_cols_A) storage in column-major format +void print_matrix(const float *A, int nr_rows_A, int nr_cols_A) { + for (int i = 0; i < nr_rows_A; ++i) { + for (int j = 0; j < nr_cols_A; ++j) { + printf("%f ", A[j * nr_rows_A + i]); + + } + printf("\n"); + } + printf("\n"); +} + + +//Print matrix A(nr_rows_A, nr_cols_A) storage in column-major format +void print_matrix_to_file(const float *A, int nr_rows_A, int nr_cols_A, std::string filename) { + std::ofstream f(filename); + if (f.is_open()) { + for (int i = 0; i < nr_rows_A; ++i) { + for (int j = 0; j < nr_cols_A; ++j) { + //printf("%f ", A[j * nr_rows_A + i]); + f << A[j * nr_rows_A + i] << " "; + } + f << "\n"; + } + f << "\n"; + } + f.close(); +} + + +// REF: https://solarianprogrammer.com/2012/05/31/matrix-multiplication-cuda-cublas-curand-thrust/ +// Fill the array A(nr_rows_A, nr_cols_A) with random numbers on GPU +void GPU_fill_rand(float *A, int nr_rows_A, int nr_cols_A) { + // Create a pseudo-random number generator + + +} + +// Multiply the arrays A and B on GPU and save the result in C +// C(m,n) = A(m,k) * B(k,n) +void gpu_blas_mmul(cublasHandle_t &handle, const float *A, const float *B, float *C, const int m, const int k, const int n) { + int lda = m, ldb = k, ldc = m; + const float alf = 1; + const float bet = 0; + const float *alpha = &alf; + const float *beta = &bet; + + // Do the actual multiplication + cublasSgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N, m, n, k, alpha, A, lda, B, ldb, beta, C, ldc); +} + +__global__ void sigmoid(int n, float const *input, float *output) { + /* Computes the value of the sigmoid function f(x) = 1/(1 + e^-x). + Inputs: + input: array + output: array, the results of the computation are to be stored here + */ + + const int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= n) { + return; + } + + output[index] = 1.0 / (1.0 + std::exp(-input[index])); +} + +__global__ void exponential(int n, float* input, float* output) { + const int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= n) { + return; + } + output[index] = std::exp(input[index]); +} + +__global__ void upSweepOptimized(int n, int d, float* A) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + + + int other_index = 1 << d; + int stride = other_index * 2; + + int new_index = stride * index; + if (new_index >= n) { + return; + } + A[new_index + stride - 1] += A[new_index + other_index - 1]; +} + +__global__ void intermediate_calculation(int n, float* temp, float* h) { + const int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= n) { + return; + } + temp[index] *= (h[index] * (1 - h[index])); +} + +__global__ void matrix_subtraction(int n, float* A, float* B, float* C) { + const int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= n) { + return; + } + C[index] = A[index] - B[index]; +} + +__global__ void multiply_by_constant(int n, float* A, float* x) { + const int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= n) { + return; + } + A[index] *= (*x); +} + +void getArraySum(int n, float* input, float* sum) { + float* padded_idata; + int padded_size = 1 << (ilog2ceil(n)); + + cudaMalloc((void**)&padded_idata, padded_size * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc padded_idata failed!"); + + cudaMemset(padded_idata, 0, padded_size * sizeof(float)); + cudaMemcpy(padded_idata, input, sizeof(float) * n, cudaMemcpyDeviceToDevice); + + int iterations = ilog2(padded_size); + + int number_of_threads = padded_size; + for (int d = 0; d < iterations; d++) { + number_of_threads /= 2; + dim3 fullBlocksPerGridUpSweep((number_of_threads + blockSize - 1) / blockSize); + upSweepOptimized << > > (padded_size, d, padded_idata); + } + + cudaMemcpy(sum, padded_idata + padded_size - 1, sizeof(float), cudaMemcpyDeviceToDevice); + + cudaFree(padded_idata); +} + +__global__ void normalize(int n, float* input, float* sum) { + const int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= n) { + return; + } + /*if(index == 1) + printf("Sum: %f \n", *sum);*/ + input[index] /= (*sum); +} + +__global__ void cross_entropy_loss(int n, float* true_label, float* predicted, float* temp) { + const int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= n) { + return; + } + temp[index] = -1 * (true_label[index] * std::log(predicted[index])); +} + +__global__ void add(float* a, float* b) { + *a = (*a) + (*b); +} + +__global__ void matrix_normalization(int n, float* A, float alpha, float beta) { + const int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= n) { + return; + } + A[index] = (A[index] * alpha) - beta; +} + +void softmax(int n, float* input, float* softmax_output) { + dim3 fullBlocksPerGrid((n + blockSize - 1) / blockSize); + + exponential<< > >(n, input, softmax_output); + + float* sum; + cudaMalloc((void**)&sum, sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc sum failed!"); + + getArraySum(n, softmax_output, sum); + + normalize << > > (n, softmax_output, sum); +} + namespace CharacterRecognition { using Common::PerformanceTimer; @@ -10,7 +227,288 @@ namespace CharacterRecognition { static PerformanceTimer timer; return timer; } - + + //Performs one complete forward pass. Updates arrays - hidden and output + void forward_pass(cublasHandle_t &handle, float* input, int instance_number) { + //Compute hidden layer + float* current_input; + cudaMalloc((void**)¤t_input, number_of_features * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc current_input failed!"); + cudaMemcpy(current_input, input + (instance_number * number_of_features), sizeof(float) * number_of_features, cudaMemcpyDeviceToDevice); + + /*float* output_to_print = (float *)malloc(number_of_features * sizeof(float)); + cudaMemcpy(output_to_print, current_input, sizeof(float) * number_of_features, cudaMemcpyDeviceToHost); + printf("Current Input: \n"); + print_matrix(output_to_print, number_of_features, 1);*/ + + gpu_blas_mmul(handle, current_input, weight_input_hidden, hidden, 1, number_of_features, hidden_layer_size); + + /*float* output_to_print1 = (float *)malloc(hidden_layer_size * sizeof(float)); + cudaMemcpy(output_to_print1, hidden, sizeof(float) * hidden_layer_size, cudaMemcpyDeviceToHost); + printf("Hidden layer: \n"); + print_matrix(output_to_print1, hidden_layer_size, 1);*/ + + //Compute sigmoid if hidden layer + dim3 fullBlocksPerGrid((hidden_layer_size + blockSize - 1) / blockSize); + sigmoid << > > (hidden_layer_size, hidden, hidden_non_linear); + + /*float* output_to_print2 = (float *)malloc(hidden_layer_size * sizeof(float)); + cudaMemcpy(output_to_print2, hidden_non_linear, sizeof(float) * hidden_layer_size, cudaMemcpyDeviceToHost); + printf("Hidden layer after sigmoid: \n"); + print_matrix(output_to_print2, hidden_layer_size, 1);*/ + + //Compute output layer + gpu_blas_mmul(handle, hidden_non_linear, weight_hidden_output, output, 1, hidden_layer_size, number_of_classes); + + /*float* output_to_print3 = (float *)malloc(number_of_classes * sizeof(float)); + cudaMemcpy(output_to_print3, output, sizeof(float) * number_of_classes, cudaMemcpyDeviceToHost); + printf("Output layer: \n"); + print_matrix(output_to_print3, number_of_classes, 1);*/ + + //Compute softmax of output layer + softmax(number_of_classes, output, output_non_linear); + + /*float* output_to_print4 = (float *)malloc(number_of_classes * sizeof(float)); + cudaMemcpy(output_to_print4, output_non_linear, sizeof(float) * number_of_classes, cudaMemcpyDeviceToHost); + printf("After Softmax: \n"); + print_matrix(output_to_print4, number_of_classes, 1);*/ + } + + //Returns the loss computed for the given iteration + void compute_loss(float* true_output, float* loss) { + float* temp; + cudaMalloc((void**)&temp, number_of_classes * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc temp failed!"); + + dim3 fullBlocksPerGridUpSweep((number_of_classes + blockSize - 1) / blockSize); + cross_entropy_loss << > > (number_of_classes, true_output, output_non_linear, temp); + + getArraySum(number_of_classes, temp, loss); + + cudaFree(temp); + } + + //Computes the gradient for the current pass. Updates - weight_input_hidden_gradient and weight_hidden_output_gradient + void compute_gradients(cublasHandle_t &handle, float* true_output, float* input, int instance_number) { + float* current_input; + cudaMalloc((void**)¤t_input, number_of_features * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc current_input failed!"); + cudaMemcpy(current_input, input + (instance_number * number_of_features), sizeof(float) * number_of_features, cudaMemcpyDeviceToDevice); + + float* current_output; + cudaMalloc((void**)¤t_output, number_of_classes * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc current_output failed!"); + cudaMemcpy(current_output, true_output + (instance_number * number_of_classes), sizeof(float) * number_of_classes, cudaMemcpyDeviceToDevice); + + //Compute gradient w.r.t weights between hidden and output layer + float* temp; + cudaMalloc((void**)&temp, number_of_classes * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc temp failed!"); + + dim3 fullBlocksPerGridUpSweep((number_of_classes + blockSize - 1) / blockSize); + matrix_subtraction << > > (number_of_classes, output_non_linear, current_output, temp); + + gpu_blas_mmul(handle, hidden_non_linear, temp, weight_hidden_output_gradient, hidden_layer_size, 1, number_of_classes); + + //Compute gradient w.r.t. weights between input and hidden layer + float* temp1; + cudaMalloc((void**)&temp1, hidden_layer_size * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc temp1 failed!"); + + gpu_blas_mmul(handle, weight_hidden_output, temp, temp1, hidden_layer_size, number_of_classes, 1); + + dim3 fullBlocksPerGrid((hidden_layer_size + blockSize - 1) / blockSize); + intermediate_calculation << > > (hidden_layer_size, temp1, hidden_non_linear); + + gpu_blas_mmul(handle, current_input, temp1, weight_input_hidden_gradient, number_of_features, 1, hidden_layer_size); + + //Compute loss + cudaMalloc((void**)&temp_loss, sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc loss failed!"); + compute_loss(current_output, temp_loss); + + cudaFree(temp); + cudaFree(temp1); + cudaFree(current_input); + cudaFree(current_output); + } + + //Updates the weights according to the learning rate. Updates - weight_input_hidden and weight_hidden_output + void update_weights() { + dim3 fullBlocksPerGridUpSweep(((hidden_layer_size * number_of_classes) + blockSize - 1) / blockSize); + multiply_by_constant << > > (hidden_layer_size * number_of_classes, weight_hidden_output_gradient, learning_rate); + matrix_subtraction << > > (hidden_layer_size * number_of_classes, weight_hidden_output, weight_hidden_output_gradient, weight_hidden_output); + + dim3 fullBlocksPerGrid(((number_of_features * hidden_layer_size) + blockSize - 1) / blockSize); + multiply_by_constant << > > (number_of_features * hidden_layer_size, weight_input_hidden_gradient, learning_rate); + matrix_subtraction << > > (number_of_features * hidden_layer_size, weight_input_hidden, weight_input_hidden_gradient, weight_input_hidden); + } + + //To initialize network parameters like size of hidden and output layers and initialize weight matrices. + void initialize_network(int instances, int features, int classes, int hidden_size, float lr) { + number_of_instances = instances; + number_of_features = features; + number_of_classes = classes; + hidden_layer_size = hidden_size; + + printf("%d %d %d \n", number_of_classes, hidden_layer_size, learning_rate); + + //Allocate memory for weight matrices on device + cudaMalloc((void**)&weight_input_hidden, number_of_features * hidden_layer_size * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc weight_input_hidden failed!"); + + cudaMalloc((void**)&weight_hidden_output, hidden_layer_size * number_of_classes * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc weight_hidden_output failed!"); + + //Randomnly initialize weights + curandGenerator_t prng; + curandCreateGenerator(&prng, CURAND_RNG_PSEUDO_DEFAULT); + + // Set the seed for the random number generator using the system clock + //curandSetPseudoRandomGeneratorSeed(prng, (unsigned long long) clock()); + curandSetPseudoRandomGeneratorSeed(prng, 7); + + // Fill the array with random numbers on the device + curandGenerateUniform(prng, weight_input_hidden, number_of_features * hidden_layer_size); + curandGenerateUniform(prng, weight_hidden_output, hidden_layer_size * number_of_classes); + + dim3 fullBlocksPerGridUpSweep((number_of_features * hidden_layer_size + blockSize - 1) / blockSize); + matrix_normalization << > > (number_of_features * hidden_layer_size, weight_input_hidden, 2, 1); + + dim3 fullBlocksPerGrid((hidden_layer_size * number_of_classes + blockSize - 1) / blockSize); + matrix_normalization << > > (hidden_layer_size * number_of_classes, weight_hidden_output, 2, 1); + + //Allocate memory for hidden layer and output on device + cudaMalloc((void**)&hidden, hidden_layer_size * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc hidden failed!"); + + cudaMalloc((void**)&output, number_of_classes * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc output failed!"); + + //Allocate memory for output of non-linear functions on device + cudaMalloc((void**)&hidden_non_linear, hidden_layer_size * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc hidden_non_linear failed!"); + + cudaMalloc((void**)&output_non_linear, number_of_classes * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc output_non_linear failed!"); + + //Allocate memory for gradients on device + cudaMalloc((void**)&weight_input_hidden_gradient, number_of_features * hidden_layer_size * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc weight_input_hidden_gradient failed!"); + + cudaMalloc((void**)&weight_hidden_output_gradient, hidden_layer_size * number_of_classes * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc weight_hidden_output_gradient failed!"); + + cudaMalloc((void**)&learning_rate, sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc sum failed!"); + thrust::device_ptr lr_ptr(learning_rate); + thrust::fill(lr_ptr, lr_ptr+1, lr); + //cudaMemset(learning_rate, lr, sizeof(float)); + } + + void print_predicted_label(int true_label) { + float* predicted_probabilities = (float *)malloc(number_of_classes * sizeof(float)); + cudaMemcpy(predicted_probabilities, output_non_linear, sizeof(float) * number_of_classes, cudaMemcpyDeviceToHost); + //print_matrix(predicted_probabilities, number_of_classes, 1); + float max = 0; + int argmax = -1; + for (int i = 0; i < number_of_classes; i++) { + if (predicted_probabilities[i] > max) { + max = predicted_probabilities[i]; + argmax = i+1; + } + } + + printf("True label - %d, Predicted label: %d with probability %f\n", true_label, argmax, max); + } + + //Returns training accuracy + void train(float* input, float* true_labels, int number_of_epochs) { + //Allocate memory for input and copy data on device + cudaMalloc((void**)&dev_input, number_of_instances * number_of_features * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc dev_input failed!"); + cudaMemcpy(dev_input, input, sizeof(float) * number_of_instances * number_of_features, cudaMemcpyHostToDevice); + + //Allocate memory for true labels and copy data on device + cudaMalloc((void**)&dev_true_labels, number_of_instances * number_of_classes * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc dev_true_labels failed!"); + cudaMemcpy(dev_true_labels, true_labels, sizeof(float) * number_of_instances * number_of_classes, cudaMemcpyHostToDevice); + + // Create a handle for CUBLAS + cublasHandle_t handle; + cublasCreate(&handle); + + cudaMalloc((void**)&loss_per_epoch, sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc loss_per_epoch failed!"); + + cudaMalloc((void**)&all_losses, number_of_epochs * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc loss_per_epoch failed!"); + + for (int i = 0; i < number_of_epochs; i++) { + thrust::device_ptr loss_ptr(loss_per_epoch); + thrust::fill(loss_ptr, loss_ptr + 1, 0); + for (int j = 0; j < number_of_instances; j++) { + //1. Forward Pass through network + forward_pass(handle, dev_input, j); + + //3. Compute Gradients for all weight matrices + compute_gradients(handle, dev_true_labels, dev_input, j); + + //Update loss for the epoch + add << <1,1 >> > (loss_per_epoch, temp_loss); + + //4. Update weights + update_weights(); + + //forward_pass(handle, dev_input, j); + } + //Print loss after each epoch + float* loss_print = (float *)malloc(sizeof(float)); + cudaMemcpy(loss_print, loss_per_epoch, sizeof(float), cudaMemcpyDeviceToHost); + printf("EPOCH %d LOSS: %f \n", i, *loss_print/52); + + cudaMemcpy(all_losses + i, loss_per_epoch, sizeof(float), cudaMemcpyDeviceToDevice); + } + + //Print weight matrices + //float* output_to_print4 = (float *)malloc(number_of_features * hidden_layer_size * sizeof(float)); + //cudaMemcpy(output_to_print4, weight_input_hidden, sizeof(float) * number_of_features * hidden_layer_size, cudaMemcpyDeviceToHost); + //printf("Weights [Input - Hidden]: \n"); + ////print_matrix_to_file(output_to_print4, number_of_features, hidden_layer_size, "C:\\Users\\saketk\\Project2-Number-Algorithms\\Project2-Character-Recognition\\data-set\\weights_input_hidden.xlsx"); + + //float* output_to_print5 = (float *)malloc(hidden_layer_size * number_of_classes * sizeof(float)); + //cudaMemcpy(output_to_print5, weight_hidden_output, sizeof(float) * hidden_layer_size * number_of_classes, cudaMemcpyDeviceToHost); + //printf("Weights [Hidden - Output]: \n"); + ////print_matrix_to_file(output_to_print5, hidden_layer_size, number_of_classes, "C:\\Users\\saketk\\Project2-Number-Algorithms\\Project2-Character-Recognition\\data-set\\weights_hidden_output.xlsx"); + + float* all_losses_print = (float *)malloc(number_of_epochs * sizeof(float)); + cudaMemcpy(all_losses_print, all_losses, sizeof(float) * number_of_epochs, cudaMemcpyDeviceToHost); + printf("All losses \n"); + print_matrix(all_losses_print, number_of_epochs, 1); + + // Destroy the handle + cublasDestroy(handle); + } + + //Returns test acccuracy + void test(float* test_input) { + //Allocate memory for input and copy data on device + cudaMalloc((void**)&dev_test_input, number_of_instances * number_of_features * sizeof(float)); + checkCUDAErrorWithLine("cudaMalloc dev_test_input failed!"); + cudaMemcpy(dev_test_input, test_input, sizeof(float) * number_of_instances * number_of_features, cudaMemcpyHostToDevice); + + // Create a handle for CUBLAS + cublasHandle_t handle; + cublasCreate(&handle); + + for (int j = number_of_instances-1; j >= 0; j--) { + //1. Forward Pass through network + forward_pass(handle, dev_test_input, j); + + print_predicted_label(j+1); + + } + } // TODO: __global__ /** diff --git a/Project2-Character-Recognition/character_recognition/mlp.h b/Project2-Character-Recognition/character_recognition/mlp.h index 2096228..f924457 100644 --- a/Project2-Character-Recognition/character_recognition/mlp.h +++ b/Project2-Character-Recognition/character_recognition/mlp.h @@ -6,4 +6,14 @@ namespace CharacterRecognition { Common::PerformanceTimer& timer(); // TODO: implement required elements for MLP sections 1 and 2 here + /*void forward_pass(float* input); + float compute_loss(int* true_output, float* predicted_output); + void compute_gradients(int* true_output, float* predicted_output); + void update_weights(int learning_rate); + void initialize_network(int classes, int hidden_size, int lr); + float train(float* input, int* true_labels, int number_of_epochs); + float test(float* test_input);*/ + void initialize_network(int instances, int features, int classes, int hidden_size, float lr); + void train(float* input, float* true_labels, int number_of_epochs); + void test(float* test_input); } diff --git a/Project2-Character-Recognition/data-set/weights_hidden_output.txt b/Project2-Character-Recognition/data-set/weights_hidden_output.txt new file mode 100644 index 0000000..d4fa8ab --- /dev/null +++ b/Project2-Character-Recognition/data-set/weights_hidden_output.txt @@ -0,0 +1,201 @@ +0.836527 0.948191 -0.451192 0.0295725 -0.423286 -0.178184 0.940374 0.62554 0.439332 -0.243084 1.33519 -1.51758 -0.410295 0.627575 -0.0995244 -0.998194 0.898614 -0.685149 0.573389 0.668773 -0.357233 1.04669 -0.287265 -0.0887689 -0.514894 0.110034 0.492207 0.763701 -0.470844 -0.453964 0.0286718 -0.0256161 -0.538473 0.568273 1.02181 0.303655 -0.0974442 0.20737 -1.40482 0.162286 0.139097 -0.249008 0.0937495 -0.0252515 0.633894 0.225342 0.527386 0.256323 -0.446945 0.463749 -0.365459 -0.164158 +1.06083 -1.38584 1.22175 -0.513499 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a/Project2-Character-Recognition/img/training_curve_layers.PNG b/Project2-Character-Recognition/img/training_curve_layers.PNG new file mode 100644 index 0000000..0e421f3 Binary files /dev/null and b/Project2-Character-Recognition/img/training_curve_layers.PNG differ diff --git a/Project2-Character-Recognition/img/training_curve_xor.PNG b/Project2-Character-Recognition/img/training_curve_xor.PNG new file mode 100644 index 0000000..2e6d97f Binary files /dev/null and b/Project2-Character-Recognition/img/training_curve_xor.PNG differ diff --git a/Project2-Character-Recognition/img/xor_network.svg b/Project2-Character-Recognition/img/xor_network.svg new file mode 100644 index 0000000..6931f6f --- /dev/null +++ b/Project2-Character-Recognition/img/xor_network.svg @@ -0,0 +1 @@ +Input Layer ∈ ℝ²Hidden Layer ∈ ℝ⁵Output Layer ∈ ℝ² \ No newline at end of file diff --git a/Project2-Character-Recognition/src/main.cpp b/Project2-Character-Recognition/src/main.cpp index 11dd534..3aad219 100644 --- a/Project2-Character-Recognition/src/main.cpp +++ b/Project2-Character-Recognition/src/main.cpp @@ -10,143 +10,90 @@ #include #include #include "testing_helpers.hpp" +#include +#include +#include +#include +#include -const int SIZE = 1 << 8; // feel free to change the size of array -const int NPOT = SIZE - 3; // Non-Power-Of-Two -int *a = new int[SIZE]; -int *b = new int[SIZE]; -int *c = new int[SIZE]; +#define NUMBER_OF_INSTANCES 52 +#define NUMBER_OF_FEATURES 10201 +#define HIDDEN_LAYER_SIZE 200 +#define NUMBER_OF_CLASSES 52 -int main(int argc, char* argv[]) { - // Scan tests - - printf("\n"); - printf("****************\n"); - printf("** SCAN TESTS **\n"); - printf("****************\n"); - - genArray(SIZE - 1, a, 50); // Leave a 0 at the end to test that edge case - a[SIZE - 1] = 0; - printArray(SIZE, a, true); - - // initialize b using StreamCompaction::CPU::scan you implement - // We use b for further comparison. Make sure your StreamCompaction::CPU::scan is correct. - // At first all cases passed because b && c are all zeroes. - zeroArray(SIZE, b); - printDesc("cpu scan, power-of-two"); - StreamCompaction::CPU::scan(SIZE, b, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - printArray(SIZE, b, true); - - zeroArray(SIZE, c); - printDesc("cpu scan, non-power-of-two"); - StreamCompaction::CPU::scan(NPOT, c, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - printArray(NPOT, b, true); - printCmpResult(NPOT, b, c); - - zeroArray(SIZE, c); - printDesc("naive scan, power-of-two"); - StreamCompaction::Naive::scan(SIZE, c, a); - printElapsedTime(StreamCompaction::Naive::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(SIZE, c, true); - printCmpResult(SIZE, b, c); - - /* For bug-finding only: Array of 1s to help find bugs in stream compaction or scan - onesArray(SIZE, c); - printDesc("1s array for finding bugs"); - StreamCompaction::Naive::scan(SIZE, c, a); - printArray(SIZE, c, true); */ - - zeroArray(SIZE, c); - printDesc("naive scan, non-power-of-two"); - StreamCompaction::Naive::scan(NPOT, c, a); - printElapsedTime(StreamCompaction::Naive::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(SIZE, c, true); - printCmpResult(NPOT, b, c); - - zeroArray(SIZE, c); - printDesc("work-efficient scan, power-of-two"); - StreamCompaction::Efficient::scan(SIZE, c, a); - printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(SIZE, c, true); - printCmpResult(SIZE, b, c); - - zeroArray(SIZE, c); - printDesc("work-efficient scan, non-power-of-two"); - StreamCompaction::Efficient::scan(NPOT, c, a); - printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(NPOT, c, true); - printCmpResult(NPOT, b, c); - - zeroArray(SIZE, c); - printDesc("thrust scan, power-of-two"); - StreamCompaction::Thrust::scan(SIZE, c, a); - printElapsedTime(StreamCompaction::Thrust::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(SIZE, c, true); - printCmpResult(SIZE, b, c); +#define LEARNING_RATE 0.01 +#define NUMBER_OF_EPOCHS 100 - zeroArray(SIZE, c); - printDesc("thrust scan, non-power-of-two"); - StreamCompaction::Thrust::scan(NPOT, c, a); - printElapsedTime(StreamCompaction::Thrust::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(NPOT, c, true); - printCmpResult(NPOT, b, c); - - printf("\n"); - printf("*****************************\n"); - printf("** STREAM COMPACTION TESTS **\n"); - printf("*****************************\n"); - - // Compaction tests - - genArray(SIZE - 1, a, 4); // Leave a 0 at the end to test that edge case - a[SIZE - 1] = 0; - printArray(SIZE, a, true); - - int count, expectedCount, expectedNPOT; - - // initialize b using StreamCompaction::CPU::compactWithoutScan you implement - // We use b for further comparison. Make sure your StreamCompaction::CPU::compactWithoutScan is correct. - zeroArray(SIZE, b); - printDesc("cpu compact without scan, power-of-two"); - count = StreamCompaction::CPU::compactWithoutScan(SIZE, b, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - expectedCount = count; - printArray(count, b, true); - printCmpLenResult(count, expectedCount, b, b); - - zeroArray(SIZE, c); - printDesc("cpu compact without scan, non-power-of-two"); - count = StreamCompaction::CPU::compactWithoutScan(NPOT, c, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - expectedNPOT = count; - printArray(count, c, true); - printCmpLenResult(count, expectedNPOT, b, c); - - zeroArray(SIZE, c); - printDesc("cpu compact with scan"); - count = StreamCompaction::CPU::compactWithScan(SIZE, c, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - printArray(count, c, true); - printCmpLenResult(count, expectedCount, b, c); - - zeroArray(SIZE, c); - printDesc("work-efficient compact, power-of-two"); - count = StreamCompaction::Efficient::compact(SIZE, c, a); - printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(count, c, true); - printCmpLenResult(count, expectedCount, b, c); - - zeroArray(SIZE, c); - printDesc("work-efficient compact, non-power-of-two"); - count = StreamCompaction::Efficient::compact(NPOT, c, a); - printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(count, c, true); - printCmpLenResult(count, expectedNPOT, b, c); - - system("pause"); // stop Win32 console from closing on exit - delete[] a; - delete[] b; - delete[] c; +int main(int argc, char* argv[]) { + //float input[NUMBER_OF_INSTANCES * NUMBER_OF_FEATURES] = { 0,0, 0,1, 1,0, 1,1 }; + //float true_labels[NUMBER_OF_INSTANCES * NUMBER_OF_CLASSES] = { 1,0, 0,1 ,0,1, 1,0 }; + //float input = (float *)malloc(NUMBER_OF_INSTANCES * NUMBER_OF_FEATURES * sizeof(float)); + //float true_labels = (float *)malloc(NUMBER_OF_INSTANCES * NUMBER_OF_CLASSES * sizeof(float)); + float input[NUMBER_OF_INSTANCES * NUMBER_OF_FEATURES]; + float true_labels[NUMBER_OF_INSTANCES * NUMBER_OF_CLASSES] = {0}; + //Load data to arrays + std::string filename; + for (int i = 1; i <= NUMBER_OF_INSTANCES; i++) { + std::stringstream ss; + ss << std::setw(2) << std::setfill('0') << i; + std::string s = ss.str(); + filename = s + "info.txt"; + + std::ifstream f("C:\\Users\\saketk\\Project2-Number-Algorithms\\Project2-Character-Recognition\\data-set\\" + filename); + std::string line; + if (f.is_open()) { + int line_counter = 1; + while (std::getline(f, line)) + { + std::string::size_type sz; + if (line_counter == 1) { + float label = std::stof(line, &sz); + int index = (i - 1)*NUMBER_OF_CLASSES + (label - 1); + true_labels[index] = 1; + }else if (line_counter == 3) { + int j = 0; + std::stringstream ssin(line); + while (ssin.good() && j < NUMBER_OF_FEATURES) { + std::string temp; + ssin >> temp; + input[((i - 1) * NUMBER_OF_FEATURES) + j] = std::stof(temp, &sz)/255; + ++j; + } + } + line_counter++; + } + f.close(); + } + else { + std::cout << "Could not open file \n"; + } + + } + /*for (int i = 0; i < NUMBER_OF_INSTANCES * NUMBER_OF_CLASSES; i++) { + if (i % NUMBER_OF_CLASSES == 0) std::cout << "NEW\n"; + std::cout << true_labels[i] << std::endl; + + }*/ + + + printf("MAIN \n"); + //Initialize network + CharacterRecognition::initialize_network(NUMBER_OF_INSTANCES, NUMBER_OF_FEATURES, NUMBER_OF_CLASSES, HIDDEN_LAYER_SIZE, 0.4f); + + //float* input = (float *)malloc(NUMBER_OF_INSTANCES * NUMBER_OF_FEATURES * sizeof(float)); + //float* true_labels = (float *)malloc(NUMBER_OF_INSTANCES * sizeof(float)); + + + + //Call training loop + CharacterRecognition::train(input, true_labels, NUMBER_OF_EPOCHS); + + printf("TESTING \n"); + CharacterRecognition::test(input); + + //Test + + //1. Forward Pass + + //2. Find the element with maximum value in output and output the result } diff --git a/Project2-Stream-Compaction/.gitignore b/Project2-Stream-Compaction/.gitignore index a59ec56..0e26547 100644 --- a/Project2-Stream-Compaction/.gitignore +++ b/Project2-Stream-Compaction/.gitignore @@ -5,7 +5,6 @@ cis565_getting_started_generated_kernel* *.sln *.vcxproj *.xcodeproj -build # Created by https://www.gitignore.io/api/linux,osx,sublimetext,windows,jetbrains,vim,emacs,cmake,c++,cuda,visualstudio,webstorm,eclipse,xcode diff --git a/Project2-Stream-Compaction/README.md b/Project2-Stream-Compaction/README.md index 0e38ddb..a4ff89c 100644 --- a/Project2-Stream-Compaction/README.md +++ b/Project2-Stream-Compaction/README.md @@ -3,12 +3,204 @@ CUDA Stream Compaction **University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 2** -* (TODO) YOUR NAME HERE - * (TODO) [LinkedIn](), [personal website](), [twitter](), etc. -* Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab) +* Saket Karve + * [LinkedIn](https://www.linkedin.com/in/saket-karve-43930511b/), [twitter](), etc. +* Tested on: Windows 10 Education, Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz 16GB, NVIDIA Quadro P1000 @ 4GB (Moore 100B Lab) -### (TODO: Your README) +### Description -Include analysis, etc. (Remember, this is public, so don't put -anything here that you don't want to share with the world.) +The scan algorithm is implemented using different approaches starting from a CPU version, then paralellizing it using a Naive parallel implementation and then optimizing it on the GPU. A performance analysis is included here showing a comparison between the different approaches. The thrust version of scan is also included in the comparisons. +The scan algorithm is further used to implement stream compaction. The CPU version and the optimize GPU version is compared for performance. + +**\[EXTRA CREDIT\] Radix sort algorithm is also implemented in this repository using the Work efficient scan algorithm.** + +### Scan Algorithm - Performance Analysis + +Scan algorithm is used for finding the prefix-sum of an array of numbers. Each element of the output is the sum of all the previous elements with (or without) the elemnt at that position in the inclusive (or exclusive) scan. For stream compaction, exclusive scan is needed. Hence all comparisons are made for algorithms computing the exclusive scan of the input array. + +Performance is measured in terms of the time (in milliseconds) required to execute the algorithm. + +There are two main parameters used for comparison namely, +- Block Size +- Size of the input array + +The performance is compared for the following approaches of the scan algorithm with respect to the above parameters. +- CPU implementation +- Naive Parallel implementation +- Work-efficient parallel implementation +- Optimized Work-efficient parallel implementation \[EXTRA CREDIT\] +- Thrust's implementation + +#### Performance against Block Size + +The block size matters only for the Naive parallel implementation and the Work-efficient implementations. + +The following graph shows how the performance varies with increasing block size on the three parallel implementations. + +![](img/scan_blocksize_20.PNG) + +It can be seen that the performance more or less remains constant with block size for block size more than 32. The performance can be seen to be worse from smaller blocksizes (16 and 32) For all the implementations, block size of 128 is optimal. + +I also tested the performance for the work-efficient implementation (optimized and unoptimized) for array sizes set to 2^10 and 2^20. The plots were as follows, + +![](img/scan_blocksize_both.PNG) + +A significant drop can be seen in the runtime when the array size is reduced. But, no specific trend is observed between array size and block size. This is probably because we are not using the shared memory. +The optimized algorithm seems to show constant performance with block size while the unoptimized is affected for smaller blocks. + +Hence, for testing against array size, block size is set to 128 wherever applicable. + +#### Performance against Array Size + +Performance of the CPU implementation with all the GPU implementations can be found in the following figure. + +![](img/array_size_cpu_all.PNG) + +As expected, the performance decreases with increasing array size. The naive GPU and work efficient GPU impelemntation can be found to perform worse than the CPU implementation for smaller array sizes. This is primarily because of the extra overhead in managing the threads on the GPU which overpowers the effect of parallelization. + +However for larger arrays, the GPU implementations are better. Thrust performs the best for array sizes greater the 2^18. Naive and work-efficient seem to show similar trends. + +The following graph shows a comparison between the optimized work efficient implementation with the regular implementation. + +![](img/scan_array_size_optimized_unoptimized.PNG ) + +We can see that the CPU implementation is better than the GPU implementation for smaller array sizes. However, as the size of the array increases, CPU implementation takes more time and the optimized work efficient implementation performs the best. This can be seen from the following graph. + +![](img/scan_array_size_bar.PNG) + +**\[EXTRA CREDIT\]Optimized Work-efficient implementation** + +The optimized version of the work-efficient scan implementation is done by taking into account the number of idle (or extra) threads launched during each subsequent implementation of the algorithm. The way the algorithm is implemented, the number of active threads is halved every iteration. So to optimize the regular implementation, I launched only as many threads as needed for that iteration. The indices were then updated as per the stride which makes the overhead in managing the threads much simpler. This accounts for the performance improvement. + +The work efficient implementation is applicable only when the size of the array is a power of two. So if the given array has a size which is not a power of two, then the input array is padded with zeros to make the size a power of two. The performance does not matter with respect to this parameter since eventually it is always expanded to a power of two and will give a perfomance equivalent to that with the next power of two. + +### Stream Compaction Algorithm - Performance Analysis + +Stream compaction is used to eliminate elements from an array based on some condition. The exclusive scan of the input array is used to do stream compaction. + +Performance is measured in terms of the time (in milliseconds) required to execute the algorithm. + +There are two main parameters used for comparison namely, +- Block Size +- Size of the input array + +The performance is compared for the following approaches of the scan algorithm with respect to the above parameters. +- CPU implementation (with and without scan) +- Work-efficient parallel implementation +- Optimized Work-efficient parallel implementation \[EXTRA CREDIT\] + +#### Performance against Block Size + +The block size matters only for the Naive parallel implementation and the Work-efficient implementations. + +The following graph shows how the performance varies with increasing block size on the two parallel implementations. + +![](img/sc_block_size.PNG) + +It can be seen that the performance more or less remains constant with block size. For all the implementations, block size of 128 is optimal. + +Hence, for testing against array size, block size is set to 128 wherever applicable. + +#### Performance against Array Size + +There are two CPU implementations compared in this section. One uses the scan to do stream compaction and the other simply loops over the input array and stores the required elements in a separate buffer. + +A comparison between the two CPU implementations can be found in the following figure. + +![](img/sc_array_size_1.PNG) + +Performance of the CPU implementation with all the GPU implementations can be found in the following figure. + +![](img/sc_array_size_2.PNG) + +As expected, the performance decreases with increasing array size. The naive GPU and work efficient GPU impelemntation can be found to perform worse than the CPU implementation for smaller array sizes. This is primarily because of the extra overhead in managing the threads on the GPU which overpowers the effect of parallelization. + +The following graph shows a comparison between the optimized work efficient implementation with the regular implementation. + +![](img/sc_array_size_3.PNG) + +There is a significant improvement in performance with the optimized version of the work efficient scan for stream compaction. The regular implementation is most of the times worse than the CPU implementation. + +In general, the CPU without scan seems to perform the best among all implementations. It is quite interesting to note this. However, one disadvantage of this approach is that the CPU implementation makes use of double the memory while the GPU implementation does it in-place. So, the GPU implementation is memory efficient if not time efficient. + +### RADIX SORT + +The radix sort algorithm is implementd in a separate file named ```radix.cu```. + +To call this implementation perform the following steps, + +- Include the ```radix.h``` header file in the main function (or wherever you want to call it from) +- Call the ```sort(int n, int* odata, int*idata)``` function. Here, ```n``` is the size of the array, ```odata``` is the array where the sorted array will be stored and ```idata``` is the array which has to be sorted. +- The function can be called like this ```StreamCompaction::Radix::sort(SIZE, output, input);```. + +The test function for Radix sort in ```testing_helpers.hpp```. This function simply compares the result of the sort with the output of ```std::sort()``` from ```algorithms.h```. + +The test function can be called as follows, + +```printRadixSortTest(SIZE, sorted_by_radix, input_array);```. Here, ```SIZE``` is the size of the array, ```sorted_by_radix``` is the result returned by the ```sort()``` method and ```input_array``` is the input array. + +The implementation of radix sort uses the work-efficient scan implementation. + +Sample output of Radix sort for array of size 8, +``` +***************************** +** RADIX SORT TESTS ** +***************************** + [ 33 37 44 34 45 44 12 17 ] +==== Radix Sort ==== elapsed time: 1.7872ms (CUDA Measured) + [ 12 17 33 34 37 44 44 45 ] + passed + +``` + +#### Sample Output + +The sample output: +``` +**************** +** SCAN TESTS ** +**************** + [ 44 23 25 24 22 6 15 32 13 21 14 5 32 ... 1 0 ] +==== cpu scan, power-of-two ==== elapsed time: 0.0027ms (std::chrono Measured) + [ 0 44 67 92 116 138 144 159 191 204 225 239 244 ... 25465 25466 ] +==== cpu scan, non-power-of-two ==== elapsed time: 0.0025ms (std::chrono Measured) + passed +==== naive scan, power-of-two ==== elapsed time: 0.043008ms (CUDA Measured) + passed +==== naive scan, non-power-of-two ==== elapsed time: 0.039936ms (CUDA Measured) + passed +==== work-efficient scan, power-of-two ==== elapsed time: 0.115712ms (CUDA Measured) + passed +==== work-efficient scan, non-power-of-two ==== elapsed time: 0.122208ms (CUDA Measured) + passed +==== thrust scan, power-of-two ==== elapsed time: 6.24429ms (CUDA Measured) + passed +==== thrust scan, non-power-of-two ==== elapsed time: 1.72032ms (CUDA Measured) + passed + + +***************************** +** STREAM COMPACTION TESTS ** +***************************** + [ 0 3 1 0 0 2 1 0 3 3 2 3 2 ... 1 0 ] +==== cpu compact without scan, power-of-two ==== elapsed time: 0.0049ms (std::chrono Measured) + passed +==== cpu compact without scan, non-power-of-two ==== elapsed time: 0.0051ms (std::chrono Measured) + passed +==== cpu compact with scan ==== elapsed time: 0.098ms (std::chrono Measured) + passed +==== work-efficient compact, power-of-two ==== elapsed time: 0.412672ms (CUDA Measured) + passed +==== work-efficient compact, non-power-of-two ==== elapsed time: 0.384ms (CUDA Measured) + passed + + +***************************** +** RADIX SORT TESTS ** +***************************** + [ 44 23 25 24 22 6 15 32 13 21 14 5 32 ... 1 5 ] +==== Radix Sort ==== elapsed time: 1.8688ms (CUDA Measured) + [ 0 0 0 0 0 0 0 0 0 0 0 0 0 ... 49 49 ] + passed +``` diff --git a/Project2-Stream-Compaction/build/.vs/cis565_stream_compaction_test/v15/.suo b/Project2-Stream-Compaction/build/.vs/cis565_stream_compaction_test/v15/.suo new file mode 100644 index 0000000..04e74f8 Binary files /dev/null and b/Project2-Stream-Compaction/build/.vs/cis565_stream_compaction_test/v15/.suo differ diff --git a/Project2-Stream-Compaction/build/.vs/cis565_stream_compaction_test/v15/Browse.VC.db b/Project2-Stream-Compaction/build/.vs/cis565_stream_compaction_test/v15/Browse.VC.db new file mode 100644 index 0000000..abea3a2 Binary files /dev/null and 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if defined(__GNUC_MINOR__) +# define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__) +# endif +# if defined(__GNUC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif + +#elif defined(_MSC_VER) +# define COMPILER_ID "MSVC" + /* _MSC_VER = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100) +# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100) +# if defined(_MSC_FULL_VER) +# if _MSC_VER >= 1400 + /* _MSC_FULL_VER = VVRRPPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000) +# else + /* _MSC_FULL_VER = VVRRPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000) +# endif +# endif +# if defined(_MSC_BUILD) +# define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD) +# endif + +#elif defined(__VISUALDSPVERSION__) || defined(__ADSPBLACKFIN__) || defined(__ADSPTS__) || defined(__ADSP21000__) +# define COMPILER_ID "ADSP" +#if defined(__VISUALDSPVERSION__) + /* __VISUALDSPVERSION__ = 0xVVRRPP00 */ +# define COMPILER_VERSION_MAJOR HEX(__VISUALDSPVERSION__>>24) +# define COMPILER_VERSION_MINOR HEX(__VISUALDSPVERSION__>>16 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__VISUALDSPVERSION__>>8 & 0xFF) +#endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# define COMPILER_ID "IAR" +# if defined(__VER__) && defined(__ICCARM__) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 1000000) +# define COMPILER_VERSION_MINOR DEC(((__VER__) / 1000) % 1000) +# define COMPILER_VERSION_PATCH DEC((__VER__) % 1000) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# elif defined(__VER__) && (defined(__ICCAVR__) || defined(__ICCRX__) || defined(__ICCRH850__) || defined(__ICCRL78__) || defined(__ICC430__)) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 100) +# define COMPILER_VERSION_MINOR DEC((__VER__) - (((__VER__) / 100)*100)) +# define COMPILER_VERSION_PATCH DEC(__SUBVERSION__) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# endif + +#elif defined(__SDCC_VERSION_MAJOR) || defined(SDCC) +# define COMPILER_ID "SDCC" +# if defined(__SDCC_VERSION_MAJOR) +# define COMPILER_VERSION_MAJOR DEC(__SDCC_VERSION_MAJOR) +# define COMPILER_VERSION_MINOR DEC(__SDCC_VERSION_MINOR) +# define COMPILER_VERSION_PATCH DEC(__SDCC_VERSION_PATCH) +# else + /* SDCC = VRP */ +# define COMPILER_VERSION_MAJOR DEC(SDCC/100) +# define COMPILER_VERSION_MINOR DEC(SDCC/10 % 10) +# define COMPILER_VERSION_PATCH DEC(SDCC % 10) +# endif + + +/* These compilers are either not known or too old to define an + identification macro. Try to identify the platform and guess that + it is the native compiler. */ +#elif defined(__hpux) || defined(__hpua) +# define COMPILER_ID "HP" + +#else /* unknown compiler */ +# define COMPILER_ID "" +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]"; +#ifdef SIMULATE_ID +char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]"; +#endif + +#ifdef __QNXNTO__ +char const* qnxnto = "INFO" ":" "qnxnto[]"; +#endif + +#if defined(__CRAYXE) || defined(__CRAYXC) +char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]"; +#endif + +#define STRINGIFY_HELPER(X) #X +#define STRINGIFY(X) STRINGIFY_HELPER(X) + +/* Identify known platforms by name. */ +#if defined(__linux) || defined(__linux__) || defined(linux) +# define PLATFORM_ID "Linux" + +#elif defined(__CYGWIN__) +# define PLATFORM_ID "Cygwin" + +#elif defined(__MINGW32__) +# define PLATFORM_ID "MinGW" + +#elif defined(__APPLE__) +# define PLATFORM_ID "Darwin" + +#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32) +# define PLATFORM_ID "Windows" + +#elif defined(__FreeBSD__) || defined(__FreeBSD) +# define PLATFORM_ID "FreeBSD" + +#elif defined(__NetBSD__) || defined(__NetBSD) +# define PLATFORM_ID "NetBSD" + +#elif defined(__OpenBSD__) || defined(__OPENBSD) +# define PLATFORM_ID "OpenBSD" + +#elif defined(__sun) || defined(sun) +# define PLATFORM_ID "SunOS" + +#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__) +# define PLATFORM_ID "AIX" + +#elif defined(__hpux) || defined(__hpux__) +# define PLATFORM_ID "HP-UX" + +#elif defined(__HAIKU__) +# define PLATFORM_ID "Haiku" + +#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS) +# define PLATFORM_ID "BeOS" + +#elif defined(__QNX__) || defined(__QNXNTO__) +# define PLATFORM_ID "QNX" + +#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__) +# define PLATFORM_ID "Tru64" + +#elif defined(__riscos) || defined(__riscos__) +# define PLATFORM_ID "RISCos" + +#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__) +# define PLATFORM_ID "SINIX" + +#elif defined(__UNIX_SV__) +# define PLATFORM_ID "UNIX_SV" + +#elif defined(__bsdos__) +# define PLATFORM_ID "BSDOS" + +#elif defined(_MPRAS) || defined(MPRAS) +# define PLATFORM_ID "MP-RAS" + +#elif defined(__osf) || defined(__osf__) +# define PLATFORM_ID "OSF1" + +#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv) +# define PLATFORM_ID "SCO_SV" + +#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX) +# define PLATFORM_ID "ULTRIX" + +#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX) +# define PLATFORM_ID "Xenix" + +#elif defined(__WATCOMC__) +# if defined(__LINUX__) +# define PLATFORM_ID "Linux" + +# elif defined(__DOS__) +# define PLATFORM_ID "DOS" + +# elif defined(__OS2__) +# define PLATFORM_ID "OS2" + +# elif defined(__WINDOWS__) +# define PLATFORM_ID "Windows3x" + +# else /* unknown platform */ +# define PLATFORM_ID +# endif + +#elif defined(__INTEGRITY) +# if defined(INT_178B) +# define PLATFORM_ID "Integrity178" + +# else /* regular Integrity */ +# define PLATFORM_ID "Integrity" +# endif + +#else /* unknown platform */ +# define PLATFORM_ID + +#endif + +/* For windows compilers MSVC and Intel we can determine + the architecture of the compiler being used. This is because + the compilers do not have flags that can change the architecture, + but rather depend on which compiler is being used +*/ +#if defined(_WIN32) && defined(_MSC_VER) +# if defined(_M_IA64) +# define ARCHITECTURE_ID "IA64" + +# elif defined(_M_X64) || defined(_M_AMD64) +# define ARCHITECTURE_ID "x64" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# elif defined(_M_ARM64) +# define ARCHITECTURE_ID "ARM64" + +# elif defined(_M_ARM) +# if _M_ARM == 4 +# define ARCHITECTURE_ID "ARMV4I" +# elif _M_ARM == 5 +# define ARCHITECTURE_ID "ARMV5I" +# else +# define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM) +# endif + +# elif defined(_M_MIPS) +# define ARCHITECTURE_ID "MIPS" + +# elif defined(_M_SH) +# define ARCHITECTURE_ID "SHx" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__WATCOMC__) +# if defined(_M_I86) +# define ARCHITECTURE_ID "I86" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# if defined(__ICCARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__ICCRX__) +# define ARCHITECTURE_ID "RX" + +# elif defined(__ICCRH850__) +# define ARCHITECTURE_ID "RH850" + +# elif defined(__ICCRL78__) +# define ARCHITECTURE_ID "RL78" + +# elif defined(__ICCAVR__) +# define ARCHITECTURE_ID "AVR" + +# elif defined(__ICC430__) +# define ARCHITECTURE_ID "MSP430" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__ghs__) +# if defined(__PPC64__) +# define ARCHITECTURE_ID "PPC64" + +# elif defined(__ppc__) +# define ARCHITECTURE_ID "PPC" + +# elif defined(__ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__x86_64__) +# define ARCHITECTURE_ID "x64" + +# elif defined(__i386__) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif +#else +# define ARCHITECTURE_ID +#endif + +/* Convert integer to decimal digit literals. */ +#define DEC(n) \ + ('0' + (((n) / 10000000)%10)), \ + ('0' + (((n) / 1000000)%10)), \ + ('0' + (((n) / 100000)%10)), \ + ('0' + (((n) / 10000)%10)), \ + ('0' + (((n) / 1000)%10)), \ + ('0' + (((n) / 100)%10)), \ + ('0' + (((n) / 10)%10)), \ + ('0' + ((n) % 10)) + +/* Convert integer to hex digit literals. */ +#define HEX(n) \ + ('0' + ((n)>>28 & 0xF)), \ + ('0' + ((n)>>24 & 0xF)), \ + ('0' + ((n)>>20 & 0xF)), \ + ('0' + ((n)>>16 & 0xF)), \ + ('0' + ((n)>>12 & 0xF)), \ + ('0' + ((n)>>8 & 0xF)), \ + ('0' + ((n)>>4 & 0xF)), \ + ('0' + ((n) & 0xF)) + +/* Construct a string literal encoding the version number components. */ +#ifdef COMPILER_VERSION_MAJOR +char const info_version[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[', + COMPILER_VERSION_MAJOR, +# ifdef COMPILER_VERSION_MINOR + '.', COMPILER_VERSION_MINOR, +# ifdef COMPILER_VERSION_PATCH + '.', COMPILER_VERSION_PATCH, +# ifdef COMPILER_VERSION_TWEAK + '.', COMPILER_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct a string literal encoding the internal version number. */ +#ifdef COMPILER_VERSION_INTERNAL +char const info_version_internal[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','_', + 'i','n','t','e','r','n','a','l','[', + COMPILER_VERSION_INTERNAL,']','\0'}; +#endif + +/* Construct a string literal encoding the version number components. */ +#ifdef SIMULATE_VERSION_MAJOR +char const info_simulate_version[] = { + 'I', 'N', 'F', 'O', ':', + 's','i','m','u','l','a','t','e','_','v','e','r','s','i','o','n','[', + SIMULATE_VERSION_MAJOR, +# ifdef SIMULATE_VERSION_MINOR + '.', SIMULATE_VERSION_MINOR, +# ifdef SIMULATE_VERSION_PATCH + '.', SIMULATE_VERSION_PATCH, +# ifdef SIMULATE_VERSION_TWEAK + '.', SIMULATE_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. 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COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10) +# if (__WATCOMC__ % 10) > 0 +# define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10) +# endif + +#elif defined(__SUNPRO_CC) +# define COMPILER_ID "SunPro" +# if __SUNPRO_CC >= 0x5100 + /* __SUNPRO_CC = 0xVRRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>12) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC & 0xF) +# else + /* __SUNPRO_CC = 0xVRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>8) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC & 0xF) +# endif + +#elif defined(__HP_aCC) +# define COMPILER_ID "HP" + /* __HP_aCC = VVRRPP */ +# define COMPILER_VERSION_MAJOR DEC(__HP_aCC/10000) +# define COMPILER_VERSION_MINOR DEC(__HP_aCC/100 % 100) +# define COMPILER_VERSION_PATCH DEC(__HP_aCC % 100) + +#elif defined(__DECCXX) +# define COMPILER_ID "Compaq" + /* __DECCXX_VER = VVRRTPPPP */ +# define COMPILER_VERSION_MAJOR DEC(__DECCXX_VER/10000000) +# define COMPILER_VERSION_MINOR DEC(__DECCXX_VER/100000 % 100) +# define COMPILER_VERSION_PATCH DEC(__DECCXX_VER % 10000) + +#elif defined(__IBMCPP__) && defined(__COMPILER_VER__) +# define COMPILER_ID "zOS" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__ibmxl__) && defined(__clang__) +# define COMPILER_ID "XLClang" +# define COMPILER_VERSION_MAJOR DEC(__ibmxl_version__) +# define COMPILER_VERSION_MINOR DEC(__ibmxl_release__) +# define COMPILER_VERSION_PATCH DEC(__ibmxl_modification__) +# define COMPILER_VERSION_TWEAK DEC(__ibmxl_ptf_fix_level__) + + +#elif defined(__IBMCPP__) && !defined(__COMPILER_VER__) && __IBMCPP__ >= 800 +# define COMPILER_ID "XL" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__IBMCPP__) && !defined(__COMPILER_VER__) && __IBMCPP__ < 800 +# define COMPILER_ID "VisualAge" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__PGI) +# define COMPILER_ID "PGI" +# define COMPILER_VERSION_MAJOR DEC(__PGIC__) +# define COMPILER_VERSION_MINOR DEC(__PGIC_MINOR__) +# if defined(__PGIC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__PGIC_PATCHLEVEL__) +# endif + +#elif defined(_CRAYC) +# define COMPILER_ID "Cray" +# define COMPILER_VERSION_MAJOR DEC(_RELEASE_MAJOR) +# define COMPILER_VERSION_MINOR DEC(_RELEASE_MINOR) + +#elif defined(__TI_COMPILER_VERSION__) +# define COMPILER_ID "TI" + /* __TI_COMPILER_VERSION__ = VVVRRRPPP */ +# define COMPILER_VERSION_MAJOR DEC(__TI_COMPILER_VERSION__/1000000) +# define COMPILER_VERSION_MINOR DEC(__TI_COMPILER_VERSION__/1000 % 1000) +# define COMPILER_VERSION_PATCH DEC(__TI_COMPILER_VERSION__ % 1000) + +#elif defined(__FUJITSU) || defined(__FCC_VERSION) || defined(__fcc_version) +# define COMPILER_ID "Fujitsu" + +#elif defined(__ghs__) +# define COMPILER_ID "GHS" +/* __GHS_VERSION_NUMBER = VVVVRP */ +# ifdef __GHS_VERSION_NUMBER +# define COMPILER_VERSION_MAJOR DEC(__GHS_VERSION_NUMBER / 100) +# define COMPILER_VERSION_MINOR DEC(__GHS_VERSION_NUMBER / 10 % 10) +# define COMPILER_VERSION_PATCH DEC(__GHS_VERSION_NUMBER % 10) +# endif + +#elif defined(__SCO_VERSION__) +# define COMPILER_ID "SCO" + +#elif defined(__ARMCC_VERSION) && !defined(__clang__) +# define COMPILER_ID "ARMCC" +#if __ARMCC_VERSION >= 1000000 + /* __ARMCC_VERSION = VRRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#else + /* __ARMCC_VERSION = VRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/100000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 10) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#endif + + +#elif defined(__clang__) && defined(__apple_build_version__) +# define COMPILER_ID "AppleClang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif +# define COMPILER_VERSION_TWEAK DEC(__apple_build_version__) + +#elif defined(__clang__) && defined(__ARMCOMPILER_VERSION) +# define COMPILER_ID "ARMClang" + # define COMPILER_VERSION_MAJOR DEC(__ARMCOMPILER_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCOMPILER_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCOMPILER_VERSION % 10000) +# define COMPILER_VERSION_INTERNAL DEC(__ARMCOMPILER_VERSION) + +#elif defined(__clang__) +# define COMPILER_ID "Clang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif + +#elif defined(__GNUC__) || defined(__GNUG__) +# define COMPILER_ID "GNU" +# if defined(__GNUC__) +# define COMPILER_VERSION_MAJOR DEC(__GNUC__) +# else +# define COMPILER_VERSION_MAJOR DEC(__GNUG__) +# endif +# if defined(__GNUC_MINOR__) +# define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__) +# endif +# if defined(__GNUC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif + +#elif defined(_MSC_VER) +# define COMPILER_ID "MSVC" + /* _MSC_VER = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100) +# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100) +# if defined(_MSC_FULL_VER) +# if _MSC_VER >= 1400 + /* _MSC_FULL_VER = VVRRPPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000) +# else + /* _MSC_FULL_VER = VVRRPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000) +# endif +# endif +# if defined(_MSC_BUILD) +# define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD) +# endif + +#elif defined(__VISUALDSPVERSION__) || defined(__ADSPBLACKFIN__) || defined(__ADSPTS__) || defined(__ADSP21000__) +# define COMPILER_ID "ADSP" +#if defined(__VISUALDSPVERSION__) + /* __VISUALDSPVERSION__ = 0xVVRRPP00 */ +# define COMPILER_VERSION_MAJOR HEX(__VISUALDSPVERSION__>>24) +# define COMPILER_VERSION_MINOR HEX(__VISUALDSPVERSION__>>16 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__VISUALDSPVERSION__>>8 & 0xFF) +#endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# define COMPILER_ID "IAR" +# if defined(__VER__) && defined(__ICCARM__) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 1000000) +# define COMPILER_VERSION_MINOR DEC(((__VER__) / 1000) % 1000) +# define COMPILER_VERSION_PATCH DEC((__VER__) % 1000) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# elif defined(__VER__) && (defined(__ICCAVR__) || defined(__ICCRX__) || defined(__ICCRH850__) || defined(__ICCRL78__) || defined(__ICC430__)) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 100) +# define COMPILER_VERSION_MINOR DEC((__VER__) - (((__VER__) / 100)*100)) +# define COMPILER_VERSION_PATCH DEC(__SUBVERSION__) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# endif + + +/* These compilers are either not known or too old to define an + identification macro. Try to identify the platform and guess that + it is the native compiler. */ +#elif defined(__hpux) || defined(__hpua) +# define COMPILER_ID "HP" + +#else /* unknown compiler */ +# define COMPILER_ID "" +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]"; +#ifdef SIMULATE_ID +char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]"; +#endif + +#ifdef __QNXNTO__ +char const* qnxnto = "INFO" ":" "qnxnto[]"; +#endif + +#if defined(__CRAYXE) || defined(__CRAYXC) +char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]"; +#endif + +#define STRINGIFY_HELPER(X) #X +#define STRINGIFY(X) STRINGIFY_HELPER(X) + +/* Identify known platforms by name. */ +#if defined(__linux) || defined(__linux__) || defined(linux) +# define PLATFORM_ID "Linux" + +#elif defined(__CYGWIN__) +# define PLATFORM_ID "Cygwin" + +#elif defined(__MINGW32__) +# define PLATFORM_ID "MinGW" + +#elif defined(__APPLE__) +# define PLATFORM_ID "Darwin" + +#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32) +# define PLATFORM_ID "Windows" + +#elif defined(__FreeBSD__) || defined(__FreeBSD) +# define PLATFORM_ID "FreeBSD" + +#elif defined(__NetBSD__) || defined(__NetBSD) +# define PLATFORM_ID "NetBSD" + +#elif defined(__OpenBSD__) || defined(__OPENBSD) +# define PLATFORM_ID "OpenBSD" + +#elif defined(__sun) || defined(sun) +# define PLATFORM_ID "SunOS" + +#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__) +# define PLATFORM_ID "AIX" + +#elif defined(__hpux) || defined(__hpux__) +# define PLATFORM_ID "HP-UX" + +#elif defined(__HAIKU__) +# define PLATFORM_ID "Haiku" + +#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS) +# define PLATFORM_ID "BeOS" + +#elif defined(__QNX__) || defined(__QNXNTO__) +# define PLATFORM_ID "QNX" + +#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__) +# define PLATFORM_ID "Tru64" + +#elif defined(__riscos) || defined(__riscos__) +# define PLATFORM_ID "RISCos" + +#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__) +# define PLATFORM_ID "SINIX" + +#elif defined(__UNIX_SV__) +# define PLATFORM_ID "UNIX_SV" + +#elif defined(__bsdos__) +# define PLATFORM_ID "BSDOS" + +#elif defined(_MPRAS) || defined(MPRAS) +# define PLATFORM_ID "MP-RAS" + +#elif defined(__osf) || defined(__osf__) +# define PLATFORM_ID "OSF1" + +#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv) +# define PLATFORM_ID "SCO_SV" + +#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX) +# define PLATFORM_ID "ULTRIX" + +#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX) +# define PLATFORM_ID "Xenix" + +#elif defined(__WATCOMC__) +# if defined(__LINUX__) +# define PLATFORM_ID "Linux" + +# elif defined(__DOS__) +# define PLATFORM_ID "DOS" + +# elif defined(__OS2__) +# define PLATFORM_ID "OS2" + +# elif defined(__WINDOWS__) +# define PLATFORM_ID "Windows3x" + +# else /* unknown platform */ +# define PLATFORM_ID +# endif + +#elif defined(__INTEGRITY) +# if defined(INT_178B) +# define PLATFORM_ID "Integrity178" + +# else /* regular Integrity */ +# define PLATFORM_ID "Integrity" +# endif + +#else /* unknown platform */ +# define PLATFORM_ID + +#endif + +/* For windows compilers MSVC and Intel we can determine + the architecture of the compiler being used. This is because + the compilers do not have flags that can change the architecture, + but rather depend on which compiler is being used +*/ +#if defined(_WIN32) && defined(_MSC_VER) +# if defined(_M_IA64) +# define ARCHITECTURE_ID "IA64" + +# elif defined(_M_X64) || defined(_M_AMD64) +# define ARCHITECTURE_ID "x64" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# elif defined(_M_ARM64) +# define ARCHITECTURE_ID "ARM64" + +# elif defined(_M_ARM) +# if _M_ARM == 4 +# define ARCHITECTURE_ID "ARMV4I" +# elif _M_ARM == 5 +# define ARCHITECTURE_ID "ARMV5I" +# else +# define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM) +# endif + +# elif defined(_M_MIPS) +# define ARCHITECTURE_ID "MIPS" + +# elif defined(_M_SH) +# define ARCHITECTURE_ID "SHx" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__WATCOMC__) +# if defined(_M_I86) +# define ARCHITECTURE_ID "I86" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# if defined(__ICCARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__ICCRX__) +# define ARCHITECTURE_ID "RX" + +# elif defined(__ICCRH850__) +# define ARCHITECTURE_ID "RH850" + +# elif defined(__ICCRL78__) +# define ARCHITECTURE_ID "RL78" + +# elif defined(__ICCAVR__) +# define ARCHITECTURE_ID "AVR" + +# elif defined(__ICC430__) +# define ARCHITECTURE_ID "MSP430" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__ghs__) +# if defined(__PPC64__) +# define ARCHITECTURE_ID "PPC64" + +# elif defined(__ppc__) +# define ARCHITECTURE_ID "PPC" + +# elif defined(__ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__x86_64__) +# define ARCHITECTURE_ID "x64" + +# elif defined(__i386__) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif +#else +# define ARCHITECTURE_ID +#endif + +/* Convert integer to decimal digit literals. */ +#define DEC(n) \ + ('0' + (((n) / 10000000)%10)), \ + ('0' + (((n) / 1000000)%10)), \ + ('0' + (((n) / 100000)%10)), \ + ('0' + (((n) / 10000)%10)), \ + ('0' + (((n) / 1000)%10)), \ + ('0' + (((n) / 100)%10)), \ + ('0' + (((n) / 10)%10)), \ + ('0' + ((n) % 10)) + +/* Convert integer to hex digit literals. */ +#define HEX(n) \ + ('0' + ((n)>>28 & 0xF)), \ + ('0' + ((n)>>24 & 0xF)), \ + ('0' + ((n)>>20 & 0xF)), \ + ('0' + ((n)>>16 & 0xF)), \ + ('0' + ((n)>>12 & 0xF)), \ + ('0' + ((n)>>8 & 0xF)), \ + ('0' + ((n)>>4 & 0xF)), \ + ('0' + ((n) & 0xF)) + +/* Construct a string literal encoding the version number components. */ +#ifdef COMPILER_VERSION_MAJOR +char const info_version[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[', + COMPILER_VERSION_MAJOR, +# ifdef COMPILER_VERSION_MINOR + '.', COMPILER_VERSION_MINOR, +# ifdef COMPILER_VERSION_PATCH + '.', COMPILER_VERSION_PATCH, +# ifdef COMPILER_VERSION_TWEAK + '.', COMPILER_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct a string literal encoding the internal version number. */ +#ifdef COMPILER_VERSION_INTERNAL +char const info_version_internal[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','_', + 'i','n','t','e','r','n','a','l','[', + COMPILER_VERSION_INTERNAL,']','\0'}; +#endif + +/* Construct a string literal encoding the version number components. */ +#ifdef SIMULATE_VERSION_MAJOR +char const info_simulate_version[] = { + 'I', 'N', 'F', 'O', ':', + 's','i','m','u','l','a','t','e','_','v','e','r','s','i','o','n','[', + SIMULATE_VERSION_MAJOR, +# ifdef SIMULATE_VERSION_MINOR + '.', SIMULATE_VERSION_MINOR, +# ifdef SIMULATE_VERSION_PATCH + '.', SIMULATE_VERSION_PATCH, +# ifdef SIMULATE_VERSION_TWEAK + '.', SIMULATE_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]"; +char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]"; + + + + +#if defined(_MSC_VER) && defined(_MSVC_LANG) +#define CXX_STD _MSVC_LANG +#else +#define CXX_STD __cplusplus +#endif + +const char* info_language_dialect_default = "INFO" ":" "dialect_default[" +#if CXX_STD > 201703L + "20" +#elif CXX_STD >= 201703L + "17" +#elif CXX_STD >= 201402L + "14" +#elif CXX_STD >= 201103L + "11" +#else + "98" +#endif +"]"; + +/*--------------------------------------------------------------------------*/ + +int main(int argc, char* argv[]) +{ + int require = 0; + require += info_compiler[argc]; + require += info_platform[argc]; +#ifdef COMPILER_VERSION_MAJOR + require += info_version[argc]; +#endif +#ifdef COMPILER_VERSION_INTERNAL + require += 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All rights reserved. + + Microsoft (R) C/C++ Optimizing Compiler Version 19.00.24215.1 for x64 + Copyright (C) Microsoft Corporation. All rights reserved. + + cl /c /Zi /W3 /WX- /Od /Ob0 /D WIN32 /D _WINDOWS /D "CMAKE_INTDIR=\"Debug\"" /D _MBCS /Gm- /RTC1 /MDd /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /Fo"cmTC_6d896.dir\Debug\\" /Fd"cmTC_6d896.dir\Debug\vc140.pdb" /Gd /TC /errorReport:queue "C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\CMakeFiles\CMakeTmp\CheckIncludeFile.c" + CheckIncludeFile.c + +C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\CMakeFiles\CMakeTmp\CheckIncludeFile.c(1): fatal error C1083: Cannot open include file: 'pthread.h': No such file or directory [C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\CMakeFiles\CMakeTmp\cmTC_6d896.vcxproj] + + + diff --git a/Project2-Stream-Compaction/build/CMakeFiles/CMakeOutput.log b/Project2-Stream-Compaction/build/CMakeFiles/CMakeOutput.log new file mode 100644 index 0000000..29b016e --- /dev/null +++ b/Project2-Stream-Compaction/build/CMakeFiles/CMakeOutput.log @@ -0,0 +1,311 @@ +The system is: Windows - 10.0.18362 - AMD64 +Compiling the C compiler identification source file "CMakeCCompilerId.c" succeeded. +Compiler: +Build flags: +Id flags: + +The output was: +0 +Microsoft (R) Build Engine version 15.9.21+g9802d43bc3 for .NET Framework +Copyright (C) Microsoft Corporation. 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All rights reserved. + + Microsoft (R) C/C++ Optimizing Compiler Version 19.00.24215.1 for x64 + Copyright (C) Microsoft Corporation. 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All rights reserved. + + Microsoft (R) C/C++ Optimizing Compiler Version 19.00.24215.1 for x64 + Copyright (C) Microsoft Corporation. All rights reserved. + + cl /c /Zi /W3 /WX- /Od /Ob0 /D WIN32 /D _WINDOWS /D "CMAKE_INTDIR=\"Debug\"" /D _MBCS /Gm- /RTC1 /MDd /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /Fo"cmTC_bafd5.dir\Debug\\" /Fd"cmTC_bafd5.dir\Debug\vc140.pdb" /Gd /TC /errorReport:queue "C:\Program Files\CMake\share\cmake-3.15\Modules\CMakeCCompilerABI.c" + CMakeCCompilerABI.c + + cmTC_bafd5.vcxproj -> C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\CMakeFiles\CMakeTmp\Debug\cmTC_bafd5.exe + cmTC_bafd5.vcxproj -> C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/CMakeFiles/CMakeTmp/Debug/cmTC_bafd5.pdb (Full PDB) + + + +Determining if the CXX compiler works passed with the following output: +Change Dir: C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/CMakeFiles/CMakeTmp + +Run Build Command(s):C:/Program Files (x86)/Microsoft Visual Studio/2017/Enterprise/MSBuild/15.0/Bin/MSBuild.exe cmTC_a0679.vcxproj /p:Configuration=Debug /p:Platform=x64 /p:VisualStudioVersion=15.0 /v:m && Microsoft (R) Build Engine version 15.9.21+g9802d43bc3 for .NET Framework +Copyright (C) Microsoft Corporation. All rights reserved. + + Microsoft (R) C/C++ Optimizing Compiler Version 19.00.24215.1 for x64 + Copyright (C) Microsoft Corporation. All rights reserved. + + cl /c /Zi /W3 /WX- /Od /Ob0 /D WIN32 /D _WINDOWS /D "CMAKE_INTDIR=\"Debug\"" /D _MBCS /Gm- /EHsc /RTC1 /MDd /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /GR /Fo"cmTC_a0679.dir\Debug\\" /Fd"cmTC_a0679.dir\Debug\vc140.pdb" /Gd /TP /errorReport:queue "C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\CMakeFiles\CMakeTmp\testCXXCompiler.cxx" + testCXXCompiler.cxx + + cmTC_a0679.vcxproj -> C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\CMakeFiles\CMakeTmp\Debug\cmTC_a0679.exe + cmTC_a0679.vcxproj -> C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/CMakeFiles/CMakeTmp/Debug/cmTC_a0679.pdb (Full PDB) + + + +Detecting CXX compiler ABI info compiled with the following output: +Change Dir: C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/CMakeFiles/CMakeTmp + +Run Build Command(s):C:/Program Files (x86)/Microsoft Visual Studio/2017/Enterprise/MSBuild/15.0/Bin/MSBuild.exe cmTC_4de74.vcxproj /p:Configuration=Debug /p:Platform=x64 /p:VisualStudioVersion=15.0 /v:m && Microsoft (R) Build Engine version 15.9.21+g9802d43bc3 for .NET Framework +Copyright (C) Microsoft Corporation. All rights reserved. + + Microsoft (R) C/C++ Optimizing Compiler Version 19.00.24215.1 for x64 + Copyright (C) Microsoft Corporation. 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All rights reserved. +# +# This code is licensed under the MIT License. See the FindCUDA.cmake script +# for the text of the license. + +# The MIT License +# +# License for the specific language governing rights and limitations under +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included +# in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. + + +########################################################################## +# This file runs the nvcc commands to produce the desired output file along with +# the dependency file needed by CMake to compute dependencies. In addition the +# file checks the output of each command and if the command fails it deletes the +# output files. + +# Input variables +# +# verbose:BOOL=<> OFF: Be as quiet as possible (default) +# ON : Describe each step +# +# build_configuration:STRING=<> Typically one of Debug, MinSizeRel, Release, or +# RelWithDebInfo, but it should match one of the +# entries in CUDA_HOST_FLAGS. This is the build +# configuration used when compiling the code. 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This argument must be passed +# in if build_cubin is true. + +if(NOT generated_file) + message(FATAL_ERROR "You must specify generated_file on the command line") +endif() + +# Set these up as variables to make reading the generated file easier +set(CMAKE_COMMAND "C:/Program Files/CMake/bin/cmake.exe") # path +set(source_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/common.cu") # path +set(NVCC_generated_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_common.cu.obj.NVCC-depend") # path +set(cmake_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_common.cu.obj.depend") # path +set(CUDA_make2cmake "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/make2cmake.cmake") # path +set(CUDA_parse_cubin "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/parse_cubin.cmake") # path +set(build_cubin OFF) # bool +set(CUDA_HOST_COMPILER "$(VCInstallDir)bin") # path +# We won't actually use these variables for now, but we need to set this, in +# order to force this file to be run again if it changes. +set(generated_file_path "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)") # path +set(generated_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj") # path +set(generated_cubin_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj.cubin.txt") # path + +set(CUDA_NVCC_EXECUTABLE "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc.exe") # path +set(CUDA_NVCC_FLAGS ;; -arch=sm_61) # list +# Build specific configuration flags +set(CUDA_NVCC_FLAGS_DEBUG -G;-g ; ) +set(CUDA_NVCC_FLAGS_RELEASE ; ) +set(CUDA_NVCC_FLAGS_MINSIZEREL ; ) +set(CUDA_NVCC_FLAGS_RELWITHDEBINFO ; ) +set(nvcc_flags -m64) # list +set(CUDA_NVCC_INCLUDE_ARGS "-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include;-IC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/.;-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include") # list (needs to be in quotes to handle spaces properly). +set(format_flag "-dc") # string + +if(build_cubin AND NOT generated_cubin_file) + message(FATAL_ERROR "You must specify generated_cubin_file on the command line") +endif() + +# This is the list of host compilation flags. 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GPU Computing Toolkit/CUDA/v10.1/include/vector_types.h" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/common.cu" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/common.h" +) + diff --git a/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_cpu.cu.obj.cmake b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_cpu.cu.obj.cmake new file mode 100644 index 0000000..3f1275a --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_cpu.cu.obj.cmake @@ -0,0 +1,296 @@ +# James Bigler, NVIDIA Corp (nvidia.com - jbigler) +# +# Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved. +# +# This code is licensed under the MIT License. See the FindCUDA.cmake script +# for the text of the license. + +# The MIT License +# +# License for the specific language governing rights and limitations under +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included +# in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. + + +########################################################################## +# This file runs the nvcc commands to produce the desired output file along with +# the dependency file needed by CMake to compute dependencies. In addition the +# file checks the output of each command and if the command fails it deletes the +# output files. + +# Input variables +# +# verbose:BOOL=<> OFF: Be as quiet as possible (default) +# ON : Describe each step +# +# build_configuration:STRING=<> Typically one of Debug, MinSizeRel, Release, or +# RelWithDebInfo, but it should match one of the +# entries in CUDA_HOST_FLAGS. This is the build +# configuration used when compiling the code. If +# blank or unspecified Debug is assumed as this is +# what CMake does. +# +# generated_file:STRING=<> File to generate. This argument must be passed in. +# +# generated_cubin_file:STRING=<> File to generate. This argument must be passed +# in if build_cubin is true. + +if(NOT generated_file) + message(FATAL_ERROR "You must specify generated_file on the command line") +endif() + +# Set these up as variables to make reading the generated file easier +set(CMAKE_COMMAND "C:/Program Files/CMake/bin/cmake.exe") # path +set(source_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/cpu.cu") # path +set(NVCC_generated_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_cpu.cu.obj.NVCC-depend") # path +set(cmake_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_cpu.cu.obj.depend") # path +set(CUDA_make2cmake "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/make2cmake.cmake") # path +set(CUDA_parse_cubin "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/parse_cubin.cmake") # path +set(build_cubin OFF) # bool +set(CUDA_HOST_COMPILER "$(VCInstallDir)bin") # path +# We won't actually use these variables for now, but we need to set this, in +# order to force this file to be run again if it changes. +set(generated_file_path "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)") # path +set(generated_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_cpu.cu.obj") # path +set(generated_cubin_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_cpu.cu.obj.cubin.txt") # path + +set(CUDA_NVCC_EXECUTABLE "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc.exe") # path +set(CUDA_NVCC_FLAGS ;; -arch=sm_61) # list +# Build specific configuration flags +set(CUDA_NVCC_FLAGS_DEBUG -G;-g ; ) +set(CUDA_NVCC_FLAGS_RELEASE ; ) +set(CUDA_NVCC_FLAGS_MINSIZEREL ; ) +set(CUDA_NVCC_FLAGS_RELWITHDEBINFO ; ) +set(nvcc_flags -m64) # list +set(CUDA_NVCC_INCLUDE_ARGS "-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include;-IC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/.;-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include") # list (needs to be in quotes to handle spaces properly). +set(format_flag "-dc") # string + +if(build_cubin AND NOT generated_cubin_file) + message(FATAL_ERROR "You must specify generated_cubin_file on the command line") +endif() + +# This is the list of host compilation flags. It C or CXX should already have +# been chosen by FindCUDA.cmake. +set(CMAKE_HOST_FLAGS /DWIN32 /D_WINDOWS /W3 /GR /EHsc ) +set(CMAKE_HOST_FLAGS_DEBUG /MDd /Zi /Ob0 /Od /RTC1) +set(CMAKE_HOST_FLAGS_RELEASE /MD /O2 /Ob2 /DNDEBUG) +set(CMAKE_HOST_FLAGS_MINSIZEREL /MD /O1 /Ob1 /DNDEBUG) +set(CMAKE_HOST_FLAGS_RELWITHDEBINFO /MD /Zi /O2 /Ob1 /DNDEBUG) + +# Take the compiler flags and package them up to be sent to the compiler via -Xcompiler +set(nvcc_host_compiler_flags "") +# If we weren't given a build_configuration, use Debug. +if(NOT build_configuration) + set(build_configuration Debug) +endif() +string(TOUPPER "${build_configuration}" build_configuration) +#message("CUDA_NVCC_HOST_COMPILER_FLAGS = ${CUDA_NVCC_HOST_COMPILER_FLAGS}") +foreach(flag ${CMAKE_HOST_FLAGS} ${CMAKE_HOST_FLAGS_${build_configuration}}) + # Extra quotes are added around each flag to help nvcc parse out flags with spaces. + set(nvcc_host_compiler_flags "${nvcc_host_compiler_flags},\"${flag}\"") +endforeach() +if (nvcc_host_compiler_flags) + set(nvcc_host_compiler_flags "-Xcompiler" ${nvcc_host_compiler_flags}) +endif() +#message("nvcc_host_compiler_flags = \"${nvcc_host_compiler_flags}\"") +# Add the build specific configuration flags +list(APPEND CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS_${build_configuration}}) + +# Any -ccbin existing in CUDA_NVCC_FLAGS gets highest priority +list( FIND CUDA_NVCC_FLAGS "-ccbin" ccbin_found0 ) +list( FIND CUDA_NVCC_FLAGS "--compiler-bindir" ccbin_found1 ) +if( ccbin_found0 LESS 0 AND ccbin_found1 LESS 0 AND CUDA_HOST_COMPILER ) + if (CUDA_HOST_COMPILER STREQUAL "$(VCInstallDir)bin" AND DEFINED CCBIN) + set(CCBIN -ccbin "${CCBIN}") + else() + set(CCBIN -ccbin "${CUDA_HOST_COMPILER}") + endif() +endif() + +# cuda_execute_process - Executes a command with optional command echo and status message. +# +# status - Status message to print if verbose is true +# command - COMMAND argument from the usual execute_process argument structure +# ARGN - Remaining arguments are the command with arguments +# +# CUDA_result - return value from running the command +# +# Make this a macro instead of a function, so that things like RESULT_VARIABLE +# and other return variables are present after executing the process. +macro(cuda_execute_process status command) + set(_command ${command}) + if(NOT "x${_command}" STREQUAL "xCOMMAND") + message(FATAL_ERROR "Malformed call to cuda_execute_process. Missing COMMAND as second argument. (command = ${command})") + endif() + if(verbose) + execute_process(COMMAND "${CMAKE_COMMAND}" -E echo -- ${status}) + # Now we need to build up our command string. We are accounting for quotes + # and spaces, anything else is left up to the user to fix if they want to + # copy and paste a runnable command line. + set(cuda_execute_process_string) + foreach(arg ${ARGN}) + # If there are quotes, excape them, so they come through. + string(REPLACE "\"" "\\\"" arg ${arg}) + # Args with spaces need quotes around them to get them to be parsed as a single argument. + if(arg MATCHES " ") + list(APPEND cuda_execute_process_string "\"${arg}\"") + else() + list(APPEND cuda_execute_process_string ${arg}) + endif() + endforeach() + # Echo the command + execute_process(COMMAND ${CMAKE_COMMAND} -E echo ${cuda_execute_process_string}) + endif() + # Run the command + execute_process(COMMAND ${ARGN} RESULT_VARIABLE CUDA_result ) +endmacro() + +# Delete the target file +cuda_execute_process( + "Removing ${generated_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}" + ) + +# For CUDA 2.3 and below, -G -M doesn't work, so remove the -G flag +# for dependency generation and hope for the best. +set(depends_CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS}") +set(CUDA_VERSION 10.1) +if(CUDA_VERSION VERSION_LESS "3.0") + cmake_policy(PUSH) + # CMake policy 0007 NEW states that empty list elements are not + # ignored. I'm just setting it to avoid the warning that's printed. + cmake_policy(SET CMP0007 NEW) + # Note that this will remove all occurances of -G. + list(REMOVE_ITEM depends_CUDA_NVCC_FLAGS "-G") + cmake_policy(POP) +endif() + +# nvcc doesn't define __CUDACC__ for some reason when generating dependency files. This +# can cause incorrect dependencies when #including files based on this macro which is +# defined in the generating passes of nvcc invokation. We will go ahead and manually +# define this for now until a future version fixes this bug. +set(CUDACC_DEFINE -D__CUDACC__) + +# Generate the dependency file +cuda_execute_process( + "Generating dependency file: ${NVCC_generated_dependency_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + -M + ${CUDACC_DEFINE} + "${source_file}" + -o "${NVCC_generated_dependency_file}" + ${CCBIN} + ${nvcc_flags} + ${nvcc_host_compiler_flags} + ${depends_CUDA_NVCC_FLAGS} + -DNVCC + ${CUDA_NVCC_INCLUDE_ARGS} + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Generate the cmake readable dependency file to a temp file. Don't put the +# quotes just around the filenames for the input_file and output_file variables. +# CMake will pass the quotes through and not be able to find the file. +cuda_execute_process( + "Generating temporary cmake readable file: ${cmake_dependency_file}.tmp" + COMMAND "${CMAKE_COMMAND}" + -D "input_file:FILEPATH=${NVCC_generated_dependency_file}" + -D "output_file:FILEPATH=${cmake_dependency_file}.tmp" + -P "${CUDA_make2cmake}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Copy the file if it is different +cuda_execute_process( + "Copy if different ${cmake_dependency_file}.tmp to ${cmake_dependency_file}" + COMMAND "${CMAKE_COMMAND}" -E copy_if_different "${cmake_dependency_file}.tmp" "${cmake_dependency_file}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Delete the temporary file +cuda_execute_process( + "Removing ${cmake_dependency_file}.tmp and ${NVCC_generated_dependency_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${cmake_dependency_file}.tmp" "${NVCC_generated_dependency_file}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Generate the code +cuda_execute_process( + "Generating ${generated_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + "${source_file}" + ${format_flag} -o "${generated_file}" + ${CCBIN} + ${nvcc_flags} + ${nvcc_host_compiler_flags} + ${CUDA_NVCC_FLAGS} + -DNVCC + ${CUDA_NVCC_INCLUDE_ARGS} + ) + +if(CUDA_result) + # Since nvcc can sometimes leave half done files make sure that we delete the output file. + cuda_execute_process( + "Removing ${generated_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}" + ) + message(FATAL_ERROR "Error generating file ${generated_file}") +else() + if(verbose) + message("Generated ${generated_file} successfully.") + endif() +endif() + +# Cubin resource report commands. +if( build_cubin ) + # Run with -cubin to 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GPU Computing Toolkit/CUDA/v10.1/include/vector_types.h" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/common.h" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/cpu.cu" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/cpu.h" +) + diff --git a/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_efficient.cu.obj.cmake b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_efficient.cu.obj.cmake new file mode 100644 index 0000000..c95376c --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_efficient.cu.obj.cmake @@ -0,0 +1,296 @@ +# James Bigler, NVIDIA Corp (nvidia.com - jbigler) +# +# Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved. +# +# This code is licensed under the MIT License. See the FindCUDA.cmake script +# for the text of the license. + +# The MIT License +# +# License for the specific language governing rights and limitations under +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included +# in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. + + +########################################################################## +# This file runs the nvcc commands to produce the desired output file along with +# the dependency file needed by CMake to compute dependencies. In addition the +# file checks the output of each command and if the command fails it deletes the +# output files. + +# Input variables +# +# verbose:BOOL=<> OFF: Be as quiet as possible (default) +# ON : Describe each step +# +# build_configuration:STRING=<> Typically one of Debug, MinSizeRel, Release, or +# RelWithDebInfo, but it should match one of the +# entries in CUDA_HOST_FLAGS. This is the build +# configuration used when compiling the code. If +# blank or unspecified Debug is assumed as this is +# what CMake does. +# +# generated_file:STRING=<> File to generate. This argument must be passed in. +# +# generated_cubin_file:STRING=<> File to generate. This argument must be passed +# in if build_cubin is true. + +if(NOT generated_file) + message(FATAL_ERROR "You must specify generated_file on the command line") +endif() + +# Set these up as variables to make reading the generated file easier +set(CMAKE_COMMAND "C:/Program Files/CMake/bin/cmake.exe") # path +set(source_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu") # path +set(NVCC_generated_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_efficient.cu.obj.NVCC-depend") # path +set(cmake_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_efficient.cu.obj.depend") # path +set(CUDA_make2cmake "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/make2cmake.cmake") # path +set(CUDA_parse_cubin "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/parse_cubin.cmake") # path +set(build_cubin OFF) # bool +set(CUDA_HOST_COMPILER "$(VCInstallDir)bin") # path +# We won't actually use these variables for now, but we need to set this, in +# order to force this file to be run again if it changes. +set(generated_file_path "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)") # path +set(generated_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_efficient.cu.obj") # path +set(generated_cubin_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_efficient.cu.obj.cubin.txt") # path + +set(CUDA_NVCC_EXECUTABLE "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc.exe") # path +set(CUDA_NVCC_FLAGS ;; -arch=sm_61) # list +# Build specific configuration flags +set(CUDA_NVCC_FLAGS_DEBUG -G;-g ; ) +set(CUDA_NVCC_FLAGS_RELEASE ; ) +set(CUDA_NVCC_FLAGS_MINSIZEREL ; ) +set(CUDA_NVCC_FLAGS_RELWITHDEBINFO ; ) +set(nvcc_flags -m64) # list +set(CUDA_NVCC_INCLUDE_ARGS "-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include;-IC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/.;-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include") # list (needs to be in quotes to handle spaces properly). +set(format_flag "-dc") # string + +if(build_cubin AND NOT generated_cubin_file) + message(FATAL_ERROR "You must specify generated_cubin_file on the command line") +endif() + +# This is the list of host compilation flags. It C or CXX should already have +# been chosen by FindCUDA.cmake. +set(CMAKE_HOST_FLAGS /DWIN32 /D_WINDOWS /W3 /GR /EHsc ) +set(CMAKE_HOST_FLAGS_DEBUG /MDd /Zi /Ob0 /Od /RTC1) +set(CMAKE_HOST_FLAGS_RELEASE /MD /O2 /Ob2 /DNDEBUG) +set(CMAKE_HOST_FLAGS_MINSIZEREL /MD /O1 /Ob1 /DNDEBUG) +set(CMAKE_HOST_FLAGS_RELWITHDEBINFO /MD /Zi /O2 /Ob1 /DNDEBUG) + +# Take the compiler flags and package them up to be sent to the compiler via -Xcompiler +set(nvcc_host_compiler_flags "") +# If we weren't given a build_configuration, use Debug. +if(NOT build_configuration) + set(build_configuration Debug) +endif() +string(TOUPPER "${build_configuration}" build_configuration) +#message("CUDA_NVCC_HOST_COMPILER_FLAGS = ${CUDA_NVCC_HOST_COMPILER_FLAGS}") +foreach(flag ${CMAKE_HOST_FLAGS} ${CMAKE_HOST_FLAGS_${build_configuration}}) + # Extra quotes are added around each flag to help nvcc parse out flags with spaces. + set(nvcc_host_compiler_flags "${nvcc_host_compiler_flags},\"${flag}\"") +endforeach() +if (nvcc_host_compiler_flags) + set(nvcc_host_compiler_flags "-Xcompiler" ${nvcc_host_compiler_flags}) +endif() +#message("nvcc_host_compiler_flags = \"${nvcc_host_compiler_flags}\"") +# Add the build specific configuration flags +list(APPEND CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS_${build_configuration}}) + +# Any -ccbin existing in CUDA_NVCC_FLAGS gets highest priority +list( FIND CUDA_NVCC_FLAGS "-ccbin" ccbin_found0 ) +list( FIND CUDA_NVCC_FLAGS "--compiler-bindir" ccbin_found1 ) +if( ccbin_found0 LESS 0 AND ccbin_found1 LESS 0 AND CUDA_HOST_COMPILER ) + if (CUDA_HOST_COMPILER STREQUAL "$(VCInstallDir)bin" AND DEFINED CCBIN) + set(CCBIN -ccbin "${CCBIN}") + else() + set(CCBIN -ccbin "${CUDA_HOST_COMPILER}") + endif() +endif() + +# cuda_execute_process - Executes a command with optional command echo and status message. +# +# status - Status message to print if verbose is true +# command - COMMAND argument from the usual execute_process argument structure +# ARGN - Remaining arguments are the command with arguments +# +# CUDA_result - return value from running the command +# +# Make this a macro instead of a function, so that things like RESULT_VARIABLE +# and other return variables are present after executing the process. +macro(cuda_execute_process status command) + set(_command ${command}) + if(NOT "x${_command}" STREQUAL "xCOMMAND") + message(FATAL_ERROR "Malformed call to cuda_execute_process. Missing COMMAND as second argument. (command = ${command})") + endif() + if(verbose) + execute_process(COMMAND "${CMAKE_COMMAND}" -E echo -- ${status}) + # Now we need to build up our command string. We are accounting for quotes + # and spaces, anything else is left up to the user to fix if they want to + # copy and paste a runnable command line. + set(cuda_execute_process_string) + foreach(arg ${ARGN}) + # If there are quotes, excape them, so they come through. + string(REPLACE "\"" "\\\"" arg ${arg}) + # Args with spaces need quotes around them to get them to be parsed as a single argument. + if(arg MATCHES " ") + list(APPEND cuda_execute_process_string "\"${arg}\"") + else() + list(APPEND cuda_execute_process_string ${arg}) + endif() + endforeach() + # Echo the command + execute_process(COMMAND ${CMAKE_COMMAND} -E echo ${cuda_execute_process_string}) + endif() + # Run the command + execute_process(COMMAND ${ARGN} RESULT_VARIABLE CUDA_result ) +endmacro() + +# Delete the target file +cuda_execute_process( + "Removing ${generated_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}" + ) + +# For CUDA 2.3 and below, -G -M doesn't work, so remove the -G flag +# for dependency generation and hope for the best. +set(depends_CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS}") +set(CUDA_VERSION 10.1) +if(CUDA_VERSION VERSION_LESS "3.0") + cmake_policy(PUSH) + # CMake policy 0007 NEW states that empty list elements are not + # ignored. I'm just setting it to avoid the warning that's printed. + cmake_policy(SET CMP0007 NEW) + # Note that this will remove all occurances of -G. + list(REMOVE_ITEM depends_CUDA_NVCC_FLAGS "-G") + cmake_policy(POP) +endif() + +# nvcc doesn't define __CUDACC__ for some reason when generating dependency files. This +# can cause incorrect dependencies when #including files based on this macro which is +# defined in the generating passes of nvcc invokation. We will go ahead and manually +# define this for now until a future version fixes this bug. +set(CUDACC_DEFINE -D__CUDACC__) + +# Generate the dependency file +cuda_execute_process( + "Generating dependency file: ${NVCC_generated_dependency_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + -M + ${CUDACC_DEFINE} + "${source_file}" + -o "${NVCC_generated_dependency_file}" + ${CCBIN} + ${nvcc_flags} + ${nvcc_host_compiler_flags} + ${depends_CUDA_NVCC_FLAGS} + -DNVCC + ${CUDA_NVCC_INCLUDE_ARGS} + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Generate the cmake readable dependency file to a temp file. Don't put the +# quotes just around the filenames for the input_file and output_file variables. +# CMake will pass the quotes through and not be able to find the file. +cuda_execute_process( + "Generating temporary cmake readable file: ${cmake_dependency_file}.tmp" + COMMAND "${CMAKE_COMMAND}" + -D "input_file:FILEPATH=${NVCC_generated_dependency_file}" + -D "output_file:FILEPATH=${cmake_dependency_file}.tmp" + -P "${CUDA_make2cmake}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Copy the file if it is different +cuda_execute_process( + "Copy if different ${cmake_dependency_file}.tmp to ${cmake_dependency_file}" + COMMAND "${CMAKE_COMMAND}" -E copy_if_different "${cmake_dependency_file}.tmp" "${cmake_dependency_file}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Delete the temporary file +cuda_execute_process( + "Removing ${cmake_dependency_file}.tmp and ${NVCC_generated_dependency_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${cmake_dependency_file}.tmp" "${NVCC_generated_dependency_file}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Generate the code +cuda_execute_process( + "Generating ${generated_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + "${source_file}" + ${format_flag} -o "${generated_file}" + ${CCBIN} + ${nvcc_flags} + ${nvcc_host_compiler_flags} + ${CUDA_NVCC_FLAGS} + -DNVCC + ${CUDA_NVCC_INCLUDE_ARGS} + ) + +if(CUDA_result) + # Since nvcc can sometimes leave half done files make sure that we delete the output file. + cuda_execute_process( + "Removing ${generated_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}" + ) + message(FATAL_ERROR "Error generating file ${generated_file}") +else() + if(verbose) + message("Generated ${generated_file} successfully.") + endif() +endif() + +# Cubin resource report commands. +if( build_cubin ) + # Run with -cubin to produce resource usage report. + cuda_execute_process( + "Generating ${generated_cubin_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + "${source_file}" + ${CUDA_NVCC_FLAGS} + ${nvcc_flags} + ${CCBIN} + ${nvcc_host_compiler_flags} + -DNVCC + -cubin + -o "${generated_cubin_file}" + ${CUDA_NVCC_INCLUDE_ARGS} + ) + + # Execute the parser script. + cuda_execute_process( + "Executing the parser script" + COMMAND "${CMAKE_COMMAND}" + -D "input_file:STRING=${generated_cubin_file}" + -P "${CUDA_parse_cubin}" + ) + +endif() diff --git a/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_efficient.cu.obj.depend b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_efficient.cu.obj.depend new file mode 100644 index 0000000..335d35b --- /dev/null +++ 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Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/vector_functions.hpp" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/vector_types.h" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/common.h" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.h" +) + diff --git a/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_naive.cu.obj.cmake b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_naive.cu.obj.cmake new file mode 100644 index 0000000..0a7df76 --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_naive.cu.obj.cmake @@ -0,0 +1,296 @@ +# James Bigler, NVIDIA Corp (nvidia.com - jbigler) +# +# Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved. +# +# This code is licensed under the MIT License. See the FindCUDA.cmake script +# for the text of the license. + +# The MIT License +# +# License for the specific language governing rights and limitations under +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included +# in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. + + +########################################################################## +# This file runs the nvcc commands to produce the desired output file along with +# the dependency file needed by CMake to compute dependencies. In addition the +# file checks the output of each command and if the command fails it deletes the +# output files. + +# Input variables +# +# verbose:BOOL=<> OFF: Be as quiet as possible (default) +# ON : Describe each step +# +# build_configuration:STRING=<> Typically one of Debug, MinSizeRel, Release, or +# RelWithDebInfo, but it should match one of the +# entries in CUDA_HOST_FLAGS. This is the build +# configuration used when compiling the code. If +# blank or unspecified Debug is assumed as this is +# what CMake does. +# +# generated_file:STRING=<> File to generate. This argument must be passed in. +# +# generated_cubin_file:STRING=<> File to generate. This argument must be passed +# in if build_cubin is true. + +if(NOT generated_file) + message(FATAL_ERROR "You must specify generated_file on the command line") +endif() + +# Set these up as variables to make reading the generated file easier +set(CMAKE_COMMAND "C:/Program Files/CMake/bin/cmake.exe") # path +set(source_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.cu") # path +set(NVCC_generated_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_naive.cu.obj.NVCC-depend") # path +set(cmake_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_naive.cu.obj.depend") # path +set(CUDA_make2cmake "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/make2cmake.cmake") # path +set(CUDA_parse_cubin "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/parse_cubin.cmake") # path +set(build_cubin OFF) # bool +set(CUDA_HOST_COMPILER "$(VCInstallDir)bin") # path +# We won't actually use these variables for now, but we need to set this, in +# order to force this file to be run again if it changes. +set(generated_file_path "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)") # path +set(generated_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_naive.cu.obj") # path +set(generated_cubin_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_naive.cu.obj.cubin.txt") # path + +set(CUDA_NVCC_EXECUTABLE "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc.exe") # path +set(CUDA_NVCC_FLAGS ;; -arch=sm_61) # list +# Build specific configuration flags +set(CUDA_NVCC_FLAGS_DEBUG -G;-g ; ) +set(CUDA_NVCC_FLAGS_RELEASE ; ) +set(CUDA_NVCC_FLAGS_MINSIZEREL ; ) +set(CUDA_NVCC_FLAGS_RELWITHDEBINFO ; ) +set(nvcc_flags -m64) # list +set(CUDA_NVCC_INCLUDE_ARGS "-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include;-IC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/.;-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include") # list (needs to be in quotes to handle spaces properly). +set(format_flag "-dc") # string + +if(build_cubin AND NOT generated_cubin_file) + message(FATAL_ERROR "You must specify generated_cubin_file on the command line") +endif() + +# This is the list of host compilation flags. It C or CXX should already have +# been chosen by FindCUDA.cmake. +set(CMAKE_HOST_FLAGS /DWIN32 /D_WINDOWS /W3 /GR /EHsc ) +set(CMAKE_HOST_FLAGS_DEBUG /MDd /Zi /Ob0 /Od /RTC1) +set(CMAKE_HOST_FLAGS_RELEASE /MD /O2 /Ob2 /DNDEBUG) +set(CMAKE_HOST_FLAGS_MINSIZEREL /MD /O1 /Ob1 /DNDEBUG) +set(CMAKE_HOST_FLAGS_RELWITHDEBINFO /MD /Zi /O2 /Ob1 /DNDEBUG) + +# Take the compiler flags and package them up to be sent to the compiler via -Xcompiler +set(nvcc_host_compiler_flags "") +# If we weren't given a build_configuration, use Debug. +if(NOT build_configuration) + set(build_configuration Debug) +endif() +string(TOUPPER "${build_configuration}" build_configuration) +#message("CUDA_NVCC_HOST_COMPILER_FLAGS = ${CUDA_NVCC_HOST_COMPILER_FLAGS}") +foreach(flag ${CMAKE_HOST_FLAGS} ${CMAKE_HOST_FLAGS_${build_configuration}}) + # Extra quotes are added around each flag to help nvcc parse out flags with spaces. + set(nvcc_host_compiler_flags "${nvcc_host_compiler_flags},\"${flag}\"") +endforeach() +if (nvcc_host_compiler_flags) + set(nvcc_host_compiler_flags "-Xcompiler" ${nvcc_host_compiler_flags}) +endif() +#message("nvcc_host_compiler_flags = \"${nvcc_host_compiler_flags}\"") +# Add the build specific configuration flags +list(APPEND CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS_${build_configuration}}) + +# Any -ccbin existing in CUDA_NVCC_FLAGS gets highest priority +list( FIND CUDA_NVCC_FLAGS "-ccbin" ccbin_found0 ) +list( FIND CUDA_NVCC_FLAGS "--compiler-bindir" ccbin_found1 ) +if( ccbin_found0 LESS 0 AND ccbin_found1 LESS 0 AND CUDA_HOST_COMPILER ) + if (CUDA_HOST_COMPILER STREQUAL "$(VCInstallDir)bin" AND DEFINED CCBIN) + set(CCBIN -ccbin "${CCBIN}") + else() + set(CCBIN -ccbin "${CUDA_HOST_COMPILER}") + endif() +endif() + +# cuda_execute_process - Executes a command with optional command echo and status message. +# +# status - Status message to print if verbose is true +# command - COMMAND argument from the usual execute_process argument structure +# ARGN - Remaining arguments are the command with arguments +# +# CUDA_result - return value from running the command +# +# Make this a macro instead of a function, so that things like RESULT_VARIABLE +# and other return variables are present after executing the process. +macro(cuda_execute_process status command) + set(_command ${command}) + if(NOT "x${_command}" STREQUAL "xCOMMAND") + message(FATAL_ERROR "Malformed call to cuda_execute_process. Missing COMMAND as second argument. (command = ${command})") + endif() + if(verbose) + execute_process(COMMAND "${CMAKE_COMMAND}" -E echo -- ${status}) + # Now we need to build up our command string. We are accounting for quotes + # and spaces, anything else is left up to the user to fix if they want to + # copy and paste a runnable command line. + set(cuda_execute_process_string) + foreach(arg ${ARGN}) + # If there are quotes, excape them, so they come through. + string(REPLACE "\"" "\\\"" arg ${arg}) + # Args with spaces need quotes around them to get them to be parsed as a single argument. + if(arg MATCHES " ") + list(APPEND cuda_execute_process_string "\"${arg}\"") + else() + list(APPEND cuda_execute_process_string ${arg}) + endif() + endforeach() + # Echo the command + execute_process(COMMAND ${CMAKE_COMMAND} -E echo ${cuda_execute_process_string}) + endif() + # Run the command + execute_process(COMMAND ${ARGN} RESULT_VARIABLE CUDA_result ) +endmacro() + +# Delete the target file +cuda_execute_process( + "Removing ${generated_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}" + ) + +# For CUDA 2.3 and below, -G -M doesn't work, so remove the -G flag +# for dependency generation and hope for the best. +set(depends_CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS}") +set(CUDA_VERSION 10.1) +if(CUDA_VERSION VERSION_LESS "3.0") + cmake_policy(PUSH) + # CMake policy 0007 NEW states that empty list elements are not + # ignored. I'm just setting it to avoid the warning that's printed. + cmake_policy(SET CMP0007 NEW) + # Note that this will remove all occurances of -G. + list(REMOVE_ITEM depends_CUDA_NVCC_FLAGS "-G") + cmake_policy(POP) +endif() + +# nvcc doesn't define __CUDACC__ for some reason when generating dependency files. This +# can cause incorrect dependencies when #including files based on this macro which is +# defined in the generating passes of nvcc invokation. We will go ahead and manually +# define this for now until a future version fixes this bug. +set(CUDACC_DEFINE -D__CUDACC__) + +# Generate the dependency file +cuda_execute_process( + "Generating dependency file: ${NVCC_generated_dependency_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + -M + ${CUDACC_DEFINE} + "${source_file}" + -o "${NVCC_generated_dependency_file}" + ${CCBIN} + ${nvcc_flags} + ${nvcc_host_compiler_flags} + ${depends_CUDA_NVCC_FLAGS} + -DNVCC + ${CUDA_NVCC_INCLUDE_ARGS} + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Generate the cmake readable dependency file to a temp file. Don't put the +# quotes just around the filenames for the input_file and output_file variables. +# CMake will pass the quotes through and not be able to find the file. +cuda_execute_process( + "Generating temporary cmake readable file: ${cmake_dependency_file}.tmp" + COMMAND "${CMAKE_COMMAND}" + -D "input_file:FILEPATH=${NVCC_generated_dependency_file}" + -D "output_file:FILEPATH=${cmake_dependency_file}.tmp" + -P "${CUDA_make2cmake}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Copy the file if it is different +cuda_execute_process( + "Copy if different ${cmake_dependency_file}.tmp to ${cmake_dependency_file}" + COMMAND "${CMAKE_COMMAND}" -E copy_if_different "${cmake_dependency_file}.tmp" "${cmake_dependency_file}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Delete the temporary file +cuda_execute_process( + "Removing ${cmake_dependency_file}.tmp and ${NVCC_generated_dependency_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${cmake_dependency_file}.tmp" "${NVCC_generated_dependency_file}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Generate the code +cuda_execute_process( + "Generating ${generated_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + "${source_file}" + ${format_flag} -o "${generated_file}" + ${CCBIN} + ${nvcc_flags} + ${nvcc_host_compiler_flags} + ${CUDA_NVCC_FLAGS} + -DNVCC + ${CUDA_NVCC_INCLUDE_ARGS} + ) + +if(CUDA_result) + # Since nvcc can sometimes leave half done files make sure that we delete the output file. + cuda_execute_process( + "Removing ${generated_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}" + ) + message(FATAL_ERROR "Error generating file ${generated_file}") +else() + if(verbose) + message("Generated ${generated_file} successfully.") + endif() +endif() + +# Cubin resource report commands. +if( build_cubin ) + # Run with -cubin to 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Computing Toolkit/CUDA/v10.1/include/sm_60_atomic_functions.hpp" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/sm_61_intrinsics.h" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/sm_61_intrinsics.hpp" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/surface_functions.h" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/surface_indirect_functions.h" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/surface_types.h" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/texture_fetch_functions.h" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/texture_indirect_functions.h" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/texture_types.h" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/vector_functions.h" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/vector_functions.hpp" + "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include/vector_types.h" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/common.h" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.cu" + "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.h" +) + diff --git a/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_thrust.cu.obj.cmake b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_thrust.cu.obj.cmake new file mode 100644 index 0000000..e2356f5 --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_thrust.cu.obj.cmake @@ -0,0 +1,296 @@ +# James Bigler, NVIDIA Corp (nvidia.com - jbigler) +# +# Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved. +# +# This code is licensed under the MIT License. See the FindCUDA.cmake script +# for the text of the license. + +# The MIT License +# +# License for the specific language governing rights and limitations under +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included +# in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. + + +########################################################################## +# This file runs the nvcc commands to produce the desired output file along with +# the dependency file needed by CMake to compute dependencies. In addition the +# file checks the output of each command and if the command fails it deletes the +# output files. + +# Input variables +# +# verbose:BOOL=<> OFF: Be as quiet as possible (default) +# ON : Describe each step +# +# build_configuration:STRING=<> Typically one of Debug, MinSizeRel, Release, or +# RelWithDebInfo, but it should match one of the +# entries in CUDA_HOST_FLAGS. This is the build +# configuration used when compiling the code. If +# blank or unspecified Debug is assumed as this is +# what CMake does. +# +# generated_file:STRING=<> File to generate. This argument must be passed in. +# +# generated_cubin_file:STRING=<> File to generate. This argument must be passed +# in if build_cubin is true. + +if(NOT generated_file) + message(FATAL_ERROR "You must specify generated_file on the command line") +endif() + +# Set these up as variables to make reading the generated file easier +set(CMAKE_COMMAND "C:/Program Files/CMake/bin/cmake.exe") # path +set(source_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/thrust.cu") # path +set(NVCC_generated_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_thrust.cu.obj.NVCC-depend") # path +set(cmake_dependency_file "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_thrust.cu.obj.depend") # path +set(CUDA_make2cmake "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/make2cmake.cmake") # path +set(CUDA_parse_cubin "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/cmake/FindCUDA/parse_cubin.cmake") # path +set(build_cubin OFF) # bool +set(CUDA_HOST_COMPILER "$(VCInstallDir)bin") # path +# We won't actually use these variables for now, but we need to set this, in +# order to force this file to be run again if it changes. +set(generated_file_path "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)") # path +set(generated_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_thrust.cu.obj") # path +set(generated_cubin_file_internal "C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_thrust.cu.obj.cubin.txt") # path + +set(CUDA_NVCC_EXECUTABLE "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc.exe") # path +set(CUDA_NVCC_FLAGS ;; -arch=sm_61) # list +# Build specific configuration flags +set(CUDA_NVCC_FLAGS_DEBUG -G;-g ; ) +set(CUDA_NVCC_FLAGS_RELEASE ; ) +set(CUDA_NVCC_FLAGS_MINSIZEREL ; ) +set(CUDA_NVCC_FLAGS_RELWITHDEBINFO ; ) +set(nvcc_flags -m64) # list +set(CUDA_NVCC_INCLUDE_ARGS "-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include;-IC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/.;-IC:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include") # list (needs to be in quotes to handle spaces properly). +set(format_flag "-dc") # string + +if(build_cubin AND NOT generated_cubin_file) + message(FATAL_ERROR "You must specify generated_cubin_file on the command line") +endif() + +# This is the list of host compilation flags. It C or CXX should already have +# been chosen by FindCUDA.cmake. +set(CMAKE_HOST_FLAGS /DWIN32 /D_WINDOWS /W3 /GR /EHsc ) +set(CMAKE_HOST_FLAGS_DEBUG /MDd /Zi /Ob0 /Od /RTC1) +set(CMAKE_HOST_FLAGS_RELEASE /MD /O2 /Ob2 /DNDEBUG) +set(CMAKE_HOST_FLAGS_MINSIZEREL /MD /O1 /Ob1 /DNDEBUG) +set(CMAKE_HOST_FLAGS_RELWITHDEBINFO /MD /Zi /O2 /Ob1 /DNDEBUG) + +# Take the compiler flags and package them up to be sent to the compiler via -Xcompiler +set(nvcc_host_compiler_flags "") +# If we weren't given a build_configuration, use Debug. +if(NOT build_configuration) + set(build_configuration Debug) +endif() +string(TOUPPER "${build_configuration}" build_configuration) +#message("CUDA_NVCC_HOST_COMPILER_FLAGS = ${CUDA_NVCC_HOST_COMPILER_FLAGS}") +foreach(flag ${CMAKE_HOST_FLAGS} ${CMAKE_HOST_FLAGS_${build_configuration}}) + # Extra quotes are added around each flag to help nvcc parse out flags with spaces. + set(nvcc_host_compiler_flags "${nvcc_host_compiler_flags},\"${flag}\"") +endforeach() +if (nvcc_host_compiler_flags) + set(nvcc_host_compiler_flags "-Xcompiler" ${nvcc_host_compiler_flags}) +endif() +#message("nvcc_host_compiler_flags = \"${nvcc_host_compiler_flags}\"") +# Add the build specific configuration flags +list(APPEND CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS_${build_configuration}}) + +# Any -ccbin existing in CUDA_NVCC_FLAGS gets highest priority +list( FIND CUDA_NVCC_FLAGS "-ccbin" ccbin_found0 ) +list( FIND CUDA_NVCC_FLAGS "--compiler-bindir" ccbin_found1 ) +if( ccbin_found0 LESS 0 AND ccbin_found1 LESS 0 AND CUDA_HOST_COMPILER ) + if (CUDA_HOST_COMPILER STREQUAL "$(VCInstallDir)bin" AND DEFINED CCBIN) + set(CCBIN -ccbin "${CCBIN}") + else() + set(CCBIN -ccbin "${CUDA_HOST_COMPILER}") + endif() +endif() + +# cuda_execute_process - Executes a command with optional command echo and status message. +# +# status - Status message to print if verbose is true +# command - COMMAND argument from the usual execute_process argument structure +# ARGN - Remaining arguments are the command with arguments +# +# CUDA_result - return value from running the command +# +# Make this a macro instead of a function, so that things like RESULT_VARIABLE +# and other return variables are present after executing the process. +macro(cuda_execute_process status command) + set(_command ${command}) + if(NOT "x${_command}" STREQUAL "xCOMMAND") + message(FATAL_ERROR "Malformed call to cuda_execute_process. Missing COMMAND as second argument. (command = ${command})") + endif() + if(verbose) + execute_process(COMMAND "${CMAKE_COMMAND}" -E echo -- ${status}) + # Now we need to build up our command string. We are accounting for quotes + # and spaces, anything else is left up to the user to fix if they want to + # copy and paste a runnable command line. + set(cuda_execute_process_string) + foreach(arg ${ARGN}) + # If there are quotes, excape them, so they come through. + string(REPLACE "\"" "\\\"" arg ${arg}) + # Args with spaces need quotes around them to get them to be parsed as a single argument. + if(arg MATCHES " ") + list(APPEND cuda_execute_process_string "\"${arg}\"") + else() + list(APPEND cuda_execute_process_string ${arg}) + endif() + endforeach() + # Echo the command + execute_process(COMMAND ${CMAKE_COMMAND} -E echo ${cuda_execute_process_string}) + endif() + # Run the command + execute_process(COMMAND ${ARGN} RESULT_VARIABLE CUDA_result ) +endmacro() + +# Delete the target file +cuda_execute_process( + "Removing ${generated_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}" + ) + +# For CUDA 2.3 and below, -G -M doesn't work, so remove the -G flag +# for dependency generation and hope for the best. +set(depends_CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS}") +set(CUDA_VERSION 10.1) +if(CUDA_VERSION VERSION_LESS "3.0") + cmake_policy(PUSH) + # CMake policy 0007 NEW states that empty list elements are not + # ignored. I'm just setting it to avoid the warning that's printed. + cmake_policy(SET CMP0007 NEW) + # Note that this will remove all occurances of -G. + list(REMOVE_ITEM depends_CUDA_NVCC_FLAGS "-G") + cmake_policy(POP) +endif() + +# nvcc doesn't define __CUDACC__ for some reason when generating dependency files. This +# can cause incorrect dependencies when #including files based on this macro which is +# defined in the generating passes of nvcc invokation. We will go ahead and manually +# define this for now until a future version fixes this bug. +set(CUDACC_DEFINE -D__CUDACC__) + +# Generate the dependency file +cuda_execute_process( + "Generating dependency file: ${NVCC_generated_dependency_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + -M + ${CUDACC_DEFINE} + "${source_file}" + -o "${NVCC_generated_dependency_file}" + ${CCBIN} + ${nvcc_flags} + ${nvcc_host_compiler_flags} + ${depends_CUDA_NVCC_FLAGS} + -DNVCC + ${CUDA_NVCC_INCLUDE_ARGS} + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Generate the cmake readable dependency file to a temp file. Don't put the +# quotes just around the filenames for the input_file and output_file variables. +# CMake will pass the quotes through and not be able to find the file. +cuda_execute_process( + "Generating temporary cmake readable file: ${cmake_dependency_file}.tmp" + COMMAND "${CMAKE_COMMAND}" + -D "input_file:FILEPATH=${NVCC_generated_dependency_file}" + -D "output_file:FILEPATH=${cmake_dependency_file}.tmp" + -P "${CUDA_make2cmake}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Copy the file if it is different +cuda_execute_process( + "Copy if different ${cmake_dependency_file}.tmp to ${cmake_dependency_file}" + COMMAND "${CMAKE_COMMAND}" -E copy_if_different "${cmake_dependency_file}.tmp" "${cmake_dependency_file}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Delete the temporary file +cuda_execute_process( + "Removing ${cmake_dependency_file}.tmp and ${NVCC_generated_dependency_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${cmake_dependency_file}.tmp" "${NVCC_generated_dependency_file}" + ) + +if(CUDA_result) + message(FATAL_ERROR "Error generating ${generated_file}") +endif() + +# Generate the code +cuda_execute_process( + "Generating ${generated_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + "${source_file}" + ${format_flag} -o "${generated_file}" + ${CCBIN} + ${nvcc_flags} + ${nvcc_host_compiler_flags} + ${CUDA_NVCC_FLAGS} + -DNVCC + ${CUDA_NVCC_INCLUDE_ARGS} + ) + +if(CUDA_result) + # Since nvcc can sometimes leave half done files make sure that we delete the output file. + cuda_execute_process( + "Removing ${generated_file}" + COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}" + ) + message(FATAL_ERROR "Error generating file ${generated_file}") +else() + if(verbose) + message("Generated ${generated_file} successfully.") + endif() +endif() + +# Cubin resource report commands. +if( build_cubin ) + # Run with -cubin to produce resource usage report. + cuda_execute_process( + "Generating ${generated_cubin_file}" + COMMAND "${CUDA_NVCC_EXECUTABLE}" + "${source_file}" + ${CUDA_NVCC_FLAGS} + ${nvcc_flags} + ${CCBIN} + ${nvcc_host_compiler_flags} + -DNVCC + -cubin + -o "${generated_cubin_file}" + ${CUDA_NVCC_INCLUDE_ARGS} + ) + + # Execute the parser script. + cuda_execute_process( + "Executing the parser script" + COMMAND "${CMAKE_COMMAND}" + -D "input_file:STRING=${generated_cubin_file}" + -P "${CUDA_parse_cubin}" + ) + +endif() diff --git a/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_thrust.cu.obj.depend b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_thrust.cu.obj.depend new file mode 100644 index 0000000..c916b3e --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_thrust.cu.obj.depend @@ 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b/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.dir/Debug/stream_c.B7F2CD79.tlog/stream_compaction.lastbuildstate new file mode 100644 index 0000000..e334c8d --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.dir/Debug/stream_c.B7F2CD79.tlog/stream_compaction.lastbuildstate @@ -0,0 +1,2 @@ +#TargetFrameworkVersion=v4.0:PlatformToolSet=v140:EnableManagedIncrementalBuild=false:VCToolArchitecture=Native32Bit:WindowsTargetPlatformVersion=10.0.17763.0 +Debug|x64|C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\| diff --git a/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.dir/Debug/stream_compaction.log b/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.dir/Debug/stream_compaction.log new file mode 100644 index 0000000..7c06482 --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.dir/Debug/stream_compaction.log @@ -0,0 +1,139 @@ 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+C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.cu(42): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.cu(45): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.cu(42): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.cu(45): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.cu(42): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/naive.cu(45): warning C4002: too many actual parameters for macro 'checkCUDAError' + naive.cu + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/Debug/stream_compaction_generated_efficient.cu.obj + efficient.cu +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(100): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(164): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(238): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(244): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(251): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(271): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(100): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(164): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(238): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(244): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(251): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(271): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(100): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(164): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(238): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(244): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(251): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(271): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(100): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(164): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(238): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(244): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(251): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(271): warning C4002: too many actual parameters for macro 'checkCUDAError' + efficient.cu +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(109): warning C4101: 'e': unreferenced local variable +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/efficient.cu(173): warning C4101: 'e': unreferenced local variable + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/Debug/stream_compaction_generated_thrust.cu.obj + thrust.cu + thrust.cu + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/Debug/stream_compaction_generated_radix.cu.obj + radix.cu +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(80): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(83): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(88): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(91): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(94): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(97): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(100): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(104): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(80): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(83): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(88): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(91): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(94): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(97): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(100): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(104): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(80): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(83): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(88): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(91): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(94): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(97): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(100): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(104): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(80): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(83): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(88): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(91): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(94): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(97): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(100): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/radix.cu(104): warning C4002: too many actual parameters for macro 'checkCUDAError' + radix.cu + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/Debug/stream_compaction_generated_shared.cu.obj + shared.cu +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(172): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(175): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(178): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(181): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(311): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(317): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(324): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(344): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(172): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(175): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(178): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(181): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(311): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(317): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(324): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(344): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(172): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(175): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(178): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(181): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(311): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(317): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(324): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(344): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(172): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(175): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(178): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(181): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(311): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(317): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(324): warning C4002: too many actual parameters for macro 'checkCUDAError' +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(344): warning C4002: too many actual parameters for macro 'checkCUDAError' + shared.cu +C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/shared.cu(191): warning C4101: 'e': unreferenced local variable + Building Custom Rule C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/CMakeLists.txt + CMake is re-running because C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/generate.stamp is out-of-date. + the file 'C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/stream_compaction_generated_common.cu.obj.depend' + is newer than 'C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/generate.stamp.depend' + result='-1' + -- Selecting Windows SDK version 10.0.17763.0 to target Windows 10.0.18362. + -- Configuring done + -- Generating done + -- Build files have been written to: C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build + Building NVCC intermediate link file stream_compaction/CMakeFiles/stream_compaction.dir/Debug/stream_compaction_intermediate_link.obj + stream_compaction_generated_common.cu.obj + stream_compaction_generated_cpu.cu.obj + stream_compaction_generated_naive.cu.obj + stream_compaction_generated_efficient.cu.obj + stream_compaction_generated_thrust.cu.obj + stream_compaction_generated_radix.cu.obj + stream_compaction_generated_shared.cu.obj + stream_compaction.vcxproj -> C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\Debug\stream_compaction.lib diff --git a/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.vcxproj b/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.vcxproj new file mode 100644 index 0000000..3ce7bcc --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.vcxproj @@ -0,0 +1,919 @@ + + + + + Debug + x64 + + + Release + x64 + + + MinSizeRel + x64 + + + RelWithDebInfo + x64 + + + + {B7F2CD79-5410-382B-83B8-58DB2133CAA4} + 10.0.17763.0 + Win32Proj + x64 + stream_compaction + NoUpgrade + + + + StaticLibrary + MultiByte + v140 + + + StaticLibrary + MultiByte + v140 + + + StaticLibrary + MultiByte + v140 + + + StaticLibrary + MultiByte + v140 + + + + + + + + + + <_ProjectFileVersion>10.0.20506.1 + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\Debug\ + stream_compaction.dir\Debug\ + stream_compaction + .lib + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\Release\ + stream_compaction.dir\Release\ + stream_compaction + .lib + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\MinSizeRel\ + stream_compaction.dir\MinSizeRel\ + stream_compaction + .lib + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\RelWithDebInfo\ + stream_compaction.dir\RelWithDebInfo\ + stream_compaction + .lib + + + + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + Debug/ + EnableFastChecks + CompileAsCpp + ProgramDatabase + Sync + Disabled + Disabled + NotUsing + MultiThreadedDebugDLL + true + false + Level3 + WIN32;_WINDOWS;CMAKE_INTDIR="Debug";%(PreprocessorDefinitions) + $(IntDir) + + + WIN32;_DEBUG;_WINDOWS;CMAKE_INTDIR=\"Debug\";%(PreprocessorDefinitions) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + + + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + $(ProjectDir)/$(IntDir) + %(Filename).h + %(Filename).tlb + %(Filename)_i.c + %(Filename)_p.c + + + + setlocal +"C:\Program Files\CMake\bin\cmake.exe" -E echo "Building NVCC intermediate link file stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_intermediate_link.obj" +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\nvcc.exe" -G -g -arch=sm_61 -m64 -ccbin "$(VCInstallDir)bin" -Xcompiler /MDd -dlink C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj 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C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_shared.cu.obj -o C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_intermediate_link.obj +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + + + %(AdditionalOptions) /machine:x64 + + + + + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + Release/ + CompileAsCpp + Sync + AnySuitable + MaxSpeed + NotUsing + MultiThreadedDLL + true + false + Level3 + WIN32;_WINDOWS;NDEBUG;CMAKE_INTDIR="Release";%(PreprocessorDefinitions) + $(IntDir) + + + + + WIN32;_WINDOWS;NDEBUG;CMAKE_INTDIR=\"Release\";%(PreprocessorDefinitions) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + + + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + $(ProjectDir)/$(IntDir) + %(Filename).h + %(Filename).tlb + %(Filename)_i.c + %(Filename)_p.c + + + + setlocal +"C:\Program Files\CMake\bin\cmake.exe" -E echo "Building NVCC intermediate link file stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_intermediate_link.obj" +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\nvcc.exe" -arch=sm_61 -m64 -ccbin "$(VCInstallDir)bin" -Xcompiler /MD -dlink C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_cpu.cu.obj C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_naive.cu.obj C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_efficient.cu.obj 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C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + MinSizeRel/ + CompileAsCpp + Sync + OnlyExplicitInline + MinSpace + NotUsing + MultiThreadedDLL + true + false + Level3 + WIN32;_WINDOWS;NDEBUG;CMAKE_INTDIR="MinSizeRel";%(PreprocessorDefinitions) + $(IntDir) + + + + + WIN32;_WINDOWS;NDEBUG;CMAKE_INTDIR=\"MinSizeRel\";%(PreprocessorDefinitions) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + + + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + $(ProjectDir)/$(IntDir) + %(Filename).h + %(Filename).tlb + %(Filename)_i.c + %(Filename)_p.c + + + + setlocal +"C:\Program Files\CMake\bin\cmake.exe" -E echo "Building NVCC 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GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + + + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\.;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include;%(AdditionalIncludeDirectories) + $(ProjectDir)/$(IntDir) + %(Filename).h + %(Filename).tlb + %(Filename)_i.c + %(Filename)_p.c + + + + setlocal +"C:\Program Files\CMake\bin\cmake.exe" -E echo "Building NVCC intermediate link file stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_intermediate_link.obj" +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\nvcc.exe" -arch=sm_61 -m64 -ccbin "$(VCInstallDir)bin" -Xcompiler /MD -dlink 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C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_common.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdio;C:\Program Files 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Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_launch_parameters.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\library_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_fetch_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_common.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_common.cu.obj + false + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_common.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_common.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdlib;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cwchar;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\eh.h;C:\Program Files (x86)\Microsoft Visual Studio 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(x86)\Microsoft Visual Studio 14.0\VC\include\setjmp.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\smmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdarg.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdexcept;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdint.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xthrcommon.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xtimec.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\tmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\type_traits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\use_ansi.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\utility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vadefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime.h;C:\Program Files (x86)\Microsoft Visual Studio 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14.0\VC\include\xtr1common;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xutility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ymath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\yvals.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\assert.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_malloc.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_math.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_memcpy_s.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_memory.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_search.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_share.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_stdio_config.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_terminate.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wconio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wctype.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wdirect.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wprocess.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstring.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wtime.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\crtdbg.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\errno.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\float.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\malloc.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\math.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stddef.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\string.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\stat.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\types.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\time.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\wchar.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\builtin_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\channel_descriptor.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\common_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_config.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_defines.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_device_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_launch_parameters.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\library_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_fetch_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_common.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_common.cu.obj + false + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_common.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_common.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_common.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdlib;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cwchar;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\eh.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\emmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\exception;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\immintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 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Visual Studio 14.0\VC\include\stdexcept;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdint.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xthrcommon.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xtimec.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\tmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\type_traits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\use_ansi.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\utility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vadefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_exception.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_new.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_new_debug.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_string.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\wmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xatomic0.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xkeycheck.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmemory;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmemory0;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xtgmath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xtr1common;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xutility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ymath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\yvals.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\assert.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_malloc.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_math.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_memcpy_s.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_memory.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_search.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_share.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_stdio_config.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_terminate.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wconio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wctype.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wdirect.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wprocess.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstring.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wtime.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\crtdbg.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\errno.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\float.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\malloc.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\math.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stddef.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\string.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\stat.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\types.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\time.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\wchar.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\builtin_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\channel_descriptor.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\common_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_config.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_defines.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_device_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_launch_parameters.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\library_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_fetch_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_common.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_common.cu.obj + false + + + + + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_cpu.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_cpu.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_cpu.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_cpu.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdlib;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cwchar;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\eh.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\emmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\exception;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\immintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\initializer_list;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\intrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\iosfwd;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\limits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\limits.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\mmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 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(x86)\Microsoft Visual Studio 14.0\VC\include\use_ansi.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\utility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vadefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_exception.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_new.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_new_debug.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_string.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\wmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xatomic0.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xkeycheck.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmemory;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmemory0;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xtgmath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xtr1common;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xutility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ymath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\yvals.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\assert.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_malloc.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_math.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_memcpy_s.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_memory.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_search.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_share.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_stdio_config.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_terminate.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wconio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wctype.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wdirect.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wprocess.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstring.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wtime.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\crtdbg.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\errno.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\float.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\malloc.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\math.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stddef.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\string.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\stat.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\types.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\time.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\wchar.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\builtin_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\channel_descriptor.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\common_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_config.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_defines.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_device_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_launch_parameters.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\library_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_fetch_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\cpu.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_cpu.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_cpu.cu.obj + false + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_cpu.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_cpu.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_cpu.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_cpu.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdlib;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cwchar;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\eh.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\emmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\exception;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\immintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\initializer_list;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\intrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\iosfwd;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\limits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\limits.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\mmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\new;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\nmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\pmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ratio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\sal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\setjmp.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\smmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdarg.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdexcept;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdint.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xthrcommon.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xtimec.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\tmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\type_traits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\use_ansi.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\utility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vadefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_exception.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_new.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_new_debug.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_string.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\wmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xatomic0.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xkeycheck.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmemory;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmemory0;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xtgmath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xtr1common;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xutility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ymath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\yvals.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\assert.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_malloc.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_math.h;C:\Program Files (x86)\Windows 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neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft Visual Studio 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Kits\10\Include\10.0.17763.0\ucrt\sys\types.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\time.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\wchar.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\builtin_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\channel_descriptor.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\common_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_config.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_defines.h;C:\Program 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Toolkit\CUDA\v10.1\include\sm_30_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_fetch_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\cpu.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_cpu.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_cpu.cu.obj + false + + + + + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_naive.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_naive.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_naive.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_naive.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft 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(x86)\Microsoft Visual Studio 14.0\VC\include\new;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\nmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\pmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ratio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\sal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\setjmp.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\smmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdarg.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdexcept;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdint.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xthrcommon.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xtimec.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\tmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 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%errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft 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(x86)\Microsoft Visual Studio 14.0\VC\include\new;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\nmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\pmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ratio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\sal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\setjmp.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\smmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdarg.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdexcept;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdint.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xthrcommon.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xtimec.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\tmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 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Kits\10\Include\10.0.17763.0\ucrt\corecrt_memcpy_s.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_memory.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_search.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_share.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_stdio_config.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_terminate.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wconio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wctype.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wdirect.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wprocess.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdio.h;C:\Program Files (x86)\Windows 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Kits\10\Include\10.0.17763.0\ucrt\sys\types.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\time.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\wchar.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\builtin_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\channel_descriptor.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\common_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_config.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_defines.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_device_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_launch_parameters.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\library_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_fetch_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\naive.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_naive.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_naive.cu.obj + false + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_naive.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_naive.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_naive.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_naive.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft 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(x86)\Microsoft Visual Studio 14.0\VC\include\new;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\nmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\pmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ratio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\sal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\setjmp.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\smmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdarg.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdexcept;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\stdint.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xthrcommon.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\thr\xtimec.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\tmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 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C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_efficient.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 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Kits\10\Include\10.0.17763.0\ucrt\corecrt_wprocess.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wstring.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt_wtime.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\crtdbg.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\errno.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\float.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\malloc.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\math.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stddef.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdlib.h;C:\Program Files (x86)\Windows 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GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_launch_parameters.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\library_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing 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Toolkit\CUDA\v10.1\include\sm_61_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_fetch_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\efficient.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_efficient.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_efficient.cu.obj + false + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_efficient.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_efficient.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_efficient.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_efficient.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 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(x86)\Microsoft Visual Studio 14.0\VC\include\thr\xtimec.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\tmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\type_traits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\use_ansi.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\utility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vadefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_exception.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_new.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_new_debug.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\vcruntime_string.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\wmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xatomic0.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xkeycheck.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmemory;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmemory0;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xmmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xtgmath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xtr1common;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\xutility;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ymath.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\yvals.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\assert.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\corecrt.h;C:\Program Files (x86)\Windows 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:cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_thrust.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_thrust.cu.obj.cubin.txt -P 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goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_thrust.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_thrust.cu.obj.cubin.txt -P 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neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_radix.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_radix.cu.obj.cubin.txt -P 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Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\efficient.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\radix.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_radix.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_radix.cu.obj + false + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_radix.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_radix.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_radix.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_radix.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 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(x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\string.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\stat.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\types.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\time.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\wchar.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\builtin_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\channel_descriptor.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\common_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_config.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\host_defines.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\math_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\sm_70_rt.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_device_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_runtime_api.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cuda_texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_launch_parameters.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\device_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\driver_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\library_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_20_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_30_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_32_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_35_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_60_atomic_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\sm_61_intrinsics.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\surface_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_fetch_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_indirect_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\texture_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_functions.hpp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\efficient.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\radix.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_radix.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_radix.cu.obj + false + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_radix.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_radix.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_radix.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_radix.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\climits;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cmath;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\crtdefs.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdarg;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstddef;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdint;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdio;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstdlib;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cstring;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cwchar;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\eh.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\emmintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\exception;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\immintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 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C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_shared.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_shared.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_shared.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 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(x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdio.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\stdlib.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\string.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\stat.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\sys\types.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\time.h;C:\Program Files (x86)\Windows Kits\10\Include\10.0.17763.0\ucrt\wchar.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\builtin_types.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\channel_descriptor.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\common_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.h;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\crt\device_double_functions.hpp;C:\Program Files\NVIDIA GPU Computing 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Toolkit\CUDA\v10.1\include\vector_types.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\common.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\efficient.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\stream_compaction\shared.h;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_shared.cu.obj.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\$(Configuration)\stream_compaction_generated_shared.cu.obj + false + Building NVCC (Device) object stream_compaction/CMakeFiles/stream_compaction.dir/$(Configuration)/stream_compaction_generated_shared.cu.obj + setlocal +cd C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir +if %errorlevel% neq 0 goto :cmEnd +C: +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -E make_directory C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration) +if %errorlevel% neq 0 goto :cmEnd +"C:\Program Files\CMake\bin\cmake.exe" -D verbose:BOOL=OFF -D "CCBIN:PATH=$(VCInstallDir)bin" -D build_configuration:STRING=$(ConfigurationName) -D generated_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_shared.cu.obj -D generated_cubin_file:STRING=C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//$(Configuration)/stream_compaction_generated_shared.cu.obj.cubin.txt -P C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/stream_compaction.dir//stream_compaction_generated_shared.cu.obj.cmake +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ConcurrencySal.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\algorithm;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\ammintrin.h;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\cfloat;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\include\chrono;C:\Program Files (x86)\Microsoft Visual Studio 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+ C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\generate.stamp + false + Building Custom Rule C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/CMakeLists.txt + setlocal +"C:\Program Files\CMake\bin\cmake.exe" -SC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction -BC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build --check-stamp-file C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/generate.stamp +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_common.cu.obj.depend;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_cpu.cu.obj.depend;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_efficient.cu.obj.depend;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_naive.cu.obj.depend;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_radix.cu.obj.depend;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_shared.cu.obj.depend;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\stream_compaction.dir\stream_compaction_generated_thrust.cu.obj.depend;C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\cmake\FindCUDA\run_nvcc.cmake;%(AdditionalInputs) + C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\generate.stamp + false + Building Custom Rule C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/CMakeLists.txt + setlocal +"C:\Program Files\CMake\bin\cmake.exe" -SC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction -BC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build --check-stamp-file C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/generate.stamp +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + 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+ C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\generate.stamp + false + Building Custom Rule C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/stream_compaction/CMakeLists.txt + setlocal +"C:\Program Files\CMake\bin\cmake.exe" -SC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction -BC:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build --check-stamp-file C:/Users/saketk/Project2-Number-Algorithms/Project2-Stream-Compaction/build/stream_compaction/CMakeFiles/generate.stamp +if %errorlevel% neq 0 goto :cmEnd +:cmEnd +endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone +:cmErrorLevel +exit /b %1 +:cmDone +if %errorlevel% neq 0 goto :VCEnd + 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+ C:\Users\saketk\Project2-Number-Algorithms\Project2-Stream-Compaction\build\stream_compaction\CMakeFiles\generate.stamp + false + + + + + + + + + + + + + + + + + + + + + + {044751F6-B5C6-38C7-AA25-FC5A7B215247} + ZERO_CHECK + false + Never + + + + + + \ No newline at end of file diff --git a/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.vcxproj.filters b/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.vcxproj.filters new file mode 100644 index 0000000..75f9caa --- /dev/null +++ b/Project2-Stream-Compaction/build/stream_compaction/stream_compaction.vcxproj.filters @@ -0,0 +1,87 @@ + + + + + Header Files + + + Header Files + + + Header Files + + + Header Files + + + Header Files + + + Header Files + + + Header Files + + + + + Source Files + + + Source Files + + + Source Files + + + Source Files + + + Source Files + + + Source Files + + + Source Files + + + + + + Object Files + + + Object Files + + + Object Files + + + Object Files + + + 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and b/Project2-Stream-Compaction/img/scan_sc_results.PNG differ diff --git a/Project2-Stream-Compaction/src/main.cpp b/Project2-Stream-Compaction/src/main.cpp index d016553..bcb5382 100644 --- a/Project2-Stream-Compaction/src/main.cpp +++ b/Project2-Stream-Compaction/src/main.cpp @@ -11,48 +11,51 @@ #include #include #include +#include +#include #include "testing_helpers.hpp" -const int SIZE = 1 << 8; // feel free to change the size of array -const int NPOT = SIZE - 3; // Non-Power-Of-Two +const int SIZE = 1 << 3; // feel free to change the size of array +const int NPOT = SIZE - 3;// Non-Power-Of-Two int *a = new int[SIZE]; int *b = new int[SIZE]; int *c = new int[SIZE]; int main(int argc, char* argv[]) { // Scan tests - - printf("\n"); - printf("****************\n"); - printf("** SCAN TESTS **\n"); - printf("****************\n"); - - genArray(SIZE - 1, a, 50); // Leave a 0 at the end to test that edge case - a[SIZE - 1] = 0; - printArray(SIZE, a, true); - - // initialize b using StreamCompaction::CPU::scan you implement - // We use b for further comparison. Make sure your StreamCompaction::CPU::scan is correct. - // At first all cases passed because b && c are all zeroes. - zeroArray(SIZE, b); - printDesc("cpu scan, power-of-two"); - StreamCompaction::CPU::scan(SIZE, b, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - printArray(SIZE, b, true); - - zeroArray(SIZE, c); - printDesc("cpu scan, non-power-of-two"); - StreamCompaction::CPU::scan(NPOT, c, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - printArray(NPOT, b, true); - printCmpResult(NPOT, b, c); - - zeroArray(SIZE, c); - printDesc("naive scan, power-of-two"); - StreamCompaction::Naive::scan(SIZE, c, a); - printElapsedTime(StreamCompaction::Naive::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(SIZE, c, true); - printCmpResult(SIZE, b, c); + printf("\n"); + printf("****************\n"); + printf("** SCAN TESTS **\n"); + printf("****************\n"); + + int d[SIZE] = {4, 7, 2, 6, 3, 5, 1, 0}; + + genArray(SIZE - 1, a, 50); // Leave a 0 at the end to test that edge case + a[SIZE - 1] = 0; + printArray(SIZE, a, true); + + // initialize b using StreamCompaction::CPU::scan you implement + // We use b for further comparison. Make sure your StreamCompaction::CPU::scan is correct. + // At first all cases passed because b && c are all zeroes. + zeroArray(SIZE, b); + printDesc("cpu scan, power-of-two"); + StreamCompaction::CPU::scan(SIZE, b, a); + printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); + printArray(SIZE, b, true); + + zeroArray(SIZE, c); + printDesc("cpu scan, non-power-of-two"); + StreamCompaction::CPU::scan(NPOT, c, a); + printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); + //printArray(NPOT, b, true); + printCmpResult(NPOT, b, c); + + zeroArray(SIZE, c); + printDesc("naive scan, power-of-two"); + StreamCompaction::Naive::scan(SIZE, c, a, 128); + printElapsedTime(StreamCompaction::Naive::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + //printArray(SIZE, c, true); + printCmpResult(SIZE, b, c); /* For bug-finding only: Array of 1s to help find bugs in stream compaction or scan onesArray(SIZE, c); @@ -60,94 +63,125 @@ int main(int argc, char* argv[]) { StreamCompaction::Naive::scan(SIZE, c, a); printArray(SIZE, c, true); */ - zeroArray(SIZE, c); - printDesc("naive scan, non-power-of-two"); - StreamCompaction::Naive::scan(NPOT, c, a); - printElapsedTime(StreamCompaction::Naive::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(SIZE, c, true); - printCmpResult(NPOT, b, c); - - zeroArray(SIZE, c); - printDesc("work-efficient scan, power-of-two"); - StreamCompaction::Efficient::scan(SIZE, c, a); - printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(SIZE, c, true); - printCmpResult(SIZE, b, c); - - zeroArray(SIZE, c); - printDesc("work-efficient scan, non-power-of-two"); - StreamCompaction::Efficient::scan(NPOT, c, a); - printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(NPOT, c, true); - printCmpResult(NPOT, b, c); - - zeroArray(SIZE, c); - printDesc("thrust scan, power-of-two"); - StreamCompaction::Thrust::scan(SIZE, c, a); - printElapsedTime(StreamCompaction::Thrust::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(SIZE, c, true); - printCmpResult(SIZE, b, c); - - zeroArray(SIZE, c); - printDesc("thrust scan, non-power-of-two"); - StreamCompaction::Thrust::scan(NPOT, c, a); - printElapsedTime(StreamCompaction::Thrust::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(NPOT, c, true); - printCmpResult(NPOT, b, c); - - printf("\n"); - printf("*****************************\n"); - printf("** STREAM COMPACTION TESTS **\n"); - printf("*****************************\n"); - - // Compaction tests - - genArray(SIZE - 1, a, 4); // Leave a 0 at the end to test that edge case - a[SIZE - 1] = 0; - printArray(SIZE, a, true); - - int count, expectedCount, expectedNPOT; - - // initialize b using StreamCompaction::CPU::compactWithoutScan you implement - // We use b for further comparison. Make sure your StreamCompaction::CPU::compactWithoutScan is correct. - zeroArray(SIZE, b); - printDesc("cpu compact without scan, power-of-two"); - count = StreamCompaction::CPU::compactWithoutScan(SIZE, b, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - expectedCount = count; - printArray(count, b, true); - printCmpLenResult(count, expectedCount, b, b); - - zeroArray(SIZE, c); - printDesc("cpu compact without scan, non-power-of-two"); - count = StreamCompaction::CPU::compactWithoutScan(NPOT, c, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - expectedNPOT = count; - printArray(count, c, true); - printCmpLenResult(count, expectedNPOT, b, c); - - zeroArray(SIZE, c); - printDesc("cpu compact with scan"); - count = StreamCompaction::CPU::compactWithScan(SIZE, c, a); - printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); - printArray(count, c, true); - printCmpLenResult(count, expectedCount, b, c); - - zeroArray(SIZE, c); - printDesc("work-efficient compact, power-of-two"); - count = StreamCompaction::Efficient::compact(SIZE, c, a); - printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(count, c, true); - printCmpLenResult(count, expectedCount, b, c); - - zeroArray(SIZE, c); - printDesc("work-efficient compact, non-power-of-two"); - count = StreamCompaction::Efficient::compact(NPOT, c, a); - printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); - //printArray(count, c, true); - printCmpLenResult(count, expectedNPOT, b, c); - - system("pause"); // stop Win32 console from closing on exit + zeroArray(SIZE, c); + printDesc("naive scan, non-power-of-two"); + StreamCompaction::Naive::scan(NPOT, c, a, 128); + printElapsedTime(StreamCompaction::Naive::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + //printArray(SIZE, c, true); + printCmpResult(NPOT, b, c); + + zeroArray(SIZE, c); + printDesc("work-efficient scan, power-of-two"); + StreamCompaction::Efficient::scan(SIZE, c, a, 128); + printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + //printArray(SIZE, c, true); + printCmpResult(SIZE, b, c); + + zeroArray(SIZE, c); + printDesc("work-efficient scan, non-power-of-two"); + StreamCompaction::Efficient::scan(NPOT, c, a, 128); + printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + //printArray(NPOT, c, true); + printCmpResult(NPOT, b, c); + + zeroArray(SIZE, c); + printDesc("thrust scan, power-of-two"); + StreamCompaction::Thrust::scan(SIZE, c, a); + printElapsedTime(StreamCompaction::Thrust::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + //printArray(SIZE, c, true); + printCmpResult(SIZE, b, c); + + zeroArray(SIZE, c); + printDesc("thrust scan, non-power-of-two"); + StreamCompaction::Thrust::scan(NPOT, c, a); + printElapsedTime(StreamCompaction::Thrust::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + //printArray(NPOT, c, true); + printCmpResult(NPOT, b, c); + + zeroArray(SIZE, c); + printDesc("shared work-efficient scan, power-of-two"); + StreamCompaction::Shared::scan(SIZE, c, a, 512); + printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + printArray(SIZE, c, true); + printCmpResult(SIZE, b, c); + + zeroArray(SIZE, c); + printDesc("shared work-efficient scan, non-power-of-two"); + StreamCompaction::Shared::scan(NPOT, c, a, 512); + printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + printArray(NPOT, c, true); + printCmpResult(NPOT, b, c); + + printf("\n"); + + printf("\n"); + printf("*****************************\n"); + printf("** STREAM COMPACTION TESTS **\n"); + printf("*****************************\n"); + + //// Compaction tests + + genArray(SIZE - 1, a, 4); // Leave a 0 at the end to test that edge case + a[SIZE - 1] = 0; + printArray(SIZE, a, true); + + int count, expectedCount, expectedNPOT; + + // initialize b using StreamCompaction::CPU::compactWithoutScan you implement + // We use b for further comparison. Make sure your StreamCompaction::CPU::compactWithoutScan is correct. + zeroArray(SIZE, b); + printDesc("cpu compact without scan, power-of-two"); + count = StreamCompaction::CPU::compactWithoutScan(SIZE, b, a); + printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); + expectedCount = count; + //printArray(count, b, true); + printCmpLenResult(count, expectedCount, b, b); + + zeroArray(SIZE, c); + printDesc("cpu compact without scan, non-power-of-two"); + count = StreamCompaction::CPU::compactWithoutScan(NPOT, c, a); + printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); + expectedNPOT = count; + //printArray(count, c, true); + printCmpLenResult(count, expectedNPOT, b, c); + + zeroArray(SIZE, c); + printDesc("cpu compact with scan"); + count = StreamCompaction::CPU::compactWithScan(SIZE, c, a); + printElapsedTime(StreamCompaction::CPU::timer().getCpuElapsedTimeForPreviousOperation(), "(std::chrono Measured)"); + //printArray(count, c, true); + printCmpLenResult(count, expectedCount, b, c); + + zeroArray(SIZE, c); + printDesc("work-efficient compact, power-of-two"); + count = StreamCompaction::Efficient::compact(SIZE, c, a,128); + printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + //printArray(count, c, true); + printCmpLenResult(count, expectedCount, b, c); + + zeroArray(SIZE, c); + printDesc("work-efficient compact, non-power-of-two"); + count = StreamCompaction::Efficient::compact(NPOT, c, a, 128); + printElapsedTime(StreamCompaction::Efficient::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + //printArray(count, c, true); + printCmpLenResult(count, expectedNPOT, b, c); + printf("\n"); + + printf("\n"); + printf("*****************************\n"); + printf("** RADIX SORT TESTS **\n"); + printf("*****************************\n"); + + genArray(SIZE, a, 50); + printArray(SIZE, a, true); + + printDesc("Radix Sort"); + StreamCompaction::Radix::sort(SIZE, c, a); + printElapsedTime(StreamCompaction::Radix::timer().getGpuElapsedTimeForPreviousOperation(), "(CUDA Measured)"); + printArray(SIZE, c, true); + printRadixSortTest(SIZE, c, a); + + //system("pause"); // stop Win32 console from closing on exit delete[] a; delete[] b; delete[] c; diff --git a/Project2-Stream-Compaction/src/testing_helpers.hpp b/Project2-Stream-Compaction/src/testing_helpers.hpp index b28a8d2..cd652bf 100644 --- a/Project2-Stream-Compaction/src/testing_helpers.hpp +++ b/Project2-Stream-Compaction/src/testing_helpers.hpp @@ -5,6 +5,7 @@ #include #include #include +#include template int cmpArrays(int n, T *a, T *b) { @@ -18,7 +19,7 @@ int cmpArrays(int n, T *a, T *b) { } void printDesc(const char *desc) { - printf("==== %s ====\n", desc); + printf("==== %s ====", desc); } template @@ -37,6 +38,15 @@ void printCmpLenResult(int n, int expN, T *a, T *b) { cmpArrays(n, a, b) ? "FAIL VALUE" : "passed"); } +//************* RADIX SORT TEST ********************* +template +void printRadixSortTest(int n, T *a, T *b) { + std::sort(b, b+n); + printf(" %s \n", + cmpArrays(n, a, b) ? "FAIL VALUE" : "passed"); +} +//*************************************************** + void zeroArray(int n, int *a) { for (int i = 0; i < n; i++) { a[i] = 0; @@ -73,4 +83,5 @@ template void printElapsedTime(T time, std::string note = "") { std::cout << " elapsed time: " << time << "ms " << note << std::endl; + } \ No newline at end of file diff --git a/Project2-Stream-Compaction/stream_compaction/CMakeLists.txt b/Project2-Stream-Compaction/stream_compaction/CMakeLists.txt index cdbef77..f7d90d7 100644 --- a/Project2-Stream-Compaction/stream_compaction/CMakeLists.txt +++ b/Project2-Stream-Compaction/stream_compaction/CMakeLists.txt @@ -9,9 +9,13 @@ set(SOURCE_FILES "efficient.cu" "thrust.h" "thrust.cu" + "radix.h" + "radix.cu" + "shared.h" + "shared.cu" ) cuda_add_library(stream_compaction ${SOURCE_FILES} - OPTIONS -arch=sm_20 + OPTIONS -arch=sm_61 ) diff --git a/Project2-Stream-Compaction/stream_compaction/common.cu b/Project2-Stream-Compaction/stream_compaction/common.cu index 2ed6d63..ca9bd35 100644 --- a/Project2-Stream-Compaction/stream_compaction/common.cu +++ b/Project2-Stream-Compaction/stream_compaction/common.cu @@ -1,4 +1,5 @@ #include "common.h" +#include "device_launch_parameters.h" void checkCUDAErrorFn(const char *msg, const char *file, int line) { cudaError_t err = cudaGetLastError(); @@ -23,7 +24,16 @@ namespace StreamCompaction { * which map to 0 will be removed, and elements which map to 1 will be kept. */ __global__ void kernMapToBoolean(int n, int *bools, const int *idata) { - // TODO + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + if (idata[index] != 0) { + bools[index] = 1; + } + else { + bools[index] = 0; + } } /** @@ -32,7 +42,13 @@ namespace StreamCompaction { */ __global__ void kernScatter(int n, int *odata, const int *idata, const int *bools, const int *indices) { - // TODO + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + if (bools[index] == 1) { + odata[indices[index]] = idata[index]; + } } } diff --git a/Project2-Stream-Compaction/stream_compaction/common.h b/Project2-Stream-Compaction/stream_compaction/common.h index 996997e..0706ad8 100644 --- a/Project2-Stream-Compaction/stream_compaction/common.h +++ b/Project2-Stream-Compaction/stream_compaction/common.h @@ -18,7 +18,7 @@ */ void checkCUDAErrorFn(const char *msg, const char *file = NULL, int line = -1); -inline int ilog2(int x) { +__device__ __host__ inline int ilog2(int x) { int lg = 0; while (x >>= 1) { ++lg; @@ -26,7 +26,7 @@ inline int ilog2(int x) { return lg; } -inline int ilog2ceil(int x) { +__device__ __host__ inline int ilog2ceil(int x) { return x == 1 ? 0 : ilog2(x - 1) + 1; } diff --git a/Project2-Stream-Compaction/stream_compaction/cpu.cu b/Project2-Stream-Compaction/stream_compaction/cpu.cu index a2d3e6c..c7d1470 100644 --- a/Project2-Stream-Compaction/stream_compaction/cpu.cu +++ b/Project2-Stream-Compaction/stream_compaction/cpu.cu @@ -18,9 +18,20 @@ namespace StreamCompaction { * (Optional) For better understanding before starting moving to GPU, you can simulate your GPU scan in this function first. */ void scan(int n, int *odata, const int *idata) { - timer().startCpuTimer(); - // TODO - timer().endCpuTimer(); + bool caught = false; + try { + timer().startCpuTimer(); + } + catch (const std::exception& e) { + caught = true; + } + odata[0] = 0; + for (int i = 1; i < n; i++) { + odata[i] = idata[i - 1] + odata[i-1]; + } + if (!caught) { + timer().endCpuTimer(); + } } /** @@ -30,9 +41,15 @@ namespace StreamCompaction { */ int compactWithoutScan(int n, int *odata, const int *idata) { timer().startCpuTimer(); - // TODO + int j = 0; + for (int i = 0; i < n; i++) { + if (idata[i] != 0) { + odata[j] = idata[i]; + j++; + } + } timer().endCpuTimer(); - return -1; + return (j); } /** @@ -42,9 +59,26 @@ namespace StreamCompaction { */ int compactWithScan(int n, int *odata, const int *idata) { timer().startCpuTimer(); - // TODO + int *binary = new int[n]; + for (int i = 0; i < n; i++) { + if (idata[i] != 0) { + binary[i] = 1; + } + else { + binary[i] = 0; + } + } + int *indices = new int[n]; + scan(n, indices, binary); + int size = 0; + for (int i = 0; i < n; i++) { + if (binary[i] == 1) { + odata[indices[i]] = idata[i]; + size++; + } + } timer().endCpuTimer(); - return -1; + return size; } } } diff --git a/Project2-Stream-Compaction/stream_compaction/efficient.cu b/Project2-Stream-Compaction/stream_compaction/efficient.cu index 2db346e..24b9cc8 100644 --- a/Project2-Stream-Compaction/stream_compaction/efficient.cu +++ b/Project2-Stream-Compaction/stream_compaction/efficient.cu @@ -2,6 +2,15 @@ #include #include "common.h" #include "efficient.h" +#include "device_launch_parameters.h" + + +#define checkCUDAErrorWithLine(msg) checkCUDAError(msg, __LINE__) + +//#define blockSize 128 + +int* dev_idata; +int* padded_idata; namespace StreamCompaction { namespace Efficient { @@ -12,15 +21,207 @@ namespace StreamCompaction { return timer; } + void printArray(int n, int *a, bool abridged = false) { + printf(" [ "); + for (int i = 0; i < n; i++) { + if (abridged && i + 2 == 15 && n > 16) { + i = n - 2; + printf("... "); + } + printf("%3d ", a[i]); + } + printf("]\n"); + } + + __global__ void upSweep(int n, int d, int* A) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + int stride = 1 << (d+1); + int other_index = 1 << d; + if ((index) % stride == 0) { + A[index + stride - 1] += A[index + other_index - 1]; + } + } + + __global__ void upSweepOptimized(int n, int d, int* A) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + + + int other_index = 1 << d; + int stride = other_index*2; + + int new_index = stride * index; + if (new_index >= n) { + return; + } + A[new_index + stride - 1] += A[new_index + other_index - 1]; + } + + __global__ void downSweep(int n, int d, int* A) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + int left_index = 1 << (d); + int right_index = 1 << (d + 1); + if (index % right_index == 0) { + int temp = A[index + left_index - 1]; + A[index + left_index - 1] = A[index + right_index - 1]; + A[index + right_index - 1] += temp; + } + } + + __global__ void downSweepOptimized(int n, int d, int* A) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + + int left_index = 1 << (d); + int right_index = left_index*2; + + int new_index = right_index * index; + if (new_index >= n) { + return; + } + + int temp = A[new_index + left_index - 1]; + A[new_index + left_index - 1] = A[new_index + right_index - 1]; + A[new_index + right_index - 1] += temp; + + } + /** * Performs prefix-sum (aka scan) on idata, storing the result into odata. */ - void scan(int n, int *odata, const int *idata) { - timer().startGpuTimer(); - // TODO - timer().endGpuTimer(); + void scan(int n, int *odata, const int *idata, int blockSize) { + int padded_size = 1 << (ilog2ceil(n)); + + cudaMalloc((void**)&padded_idata, padded_size * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc padded_idata failed!"); + + cudaMemset(padded_idata, 0, padded_size * sizeof(int)); + cudaMemcpy(padded_idata, idata, sizeof(int) * n, cudaMemcpyHostToDevice); + + bool caught = false; + try { + timer().startGpuTimer(); + } + catch (const std::exception& e) { + caught = true; + } + + + + int iterations = ilog2(padded_size); + dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + + bool optimized = false; + //Up-Sweep + if (optimized) { + int number_of_threads = padded_size; + for (int d = 0; d < iterations; d++) { + number_of_threads /= 2; + dim3 fullBlocksPerGridUpSweep((number_of_threads + blockSize - 1) / blockSize); + upSweepOptimized << > > (padded_size, d, padded_idata); + } + }else{ + for (int d = 0; d < iterations; d++) { + dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + upSweep << > > (padded_size, d, padded_idata); + } + } + + + //Down-Sweep + cudaMemset(padded_idata + (padded_size - 1), 0, sizeof(int)); + + + if (optimized) { + int number_of_threads = 1; + for (int d = iterations - 1; d >= 0; d--) { + dim3 fullBlocksPerGridDownSweep((number_of_threads + blockSize - 1) / blockSize); + downSweepOptimized << > > (padded_size, d, padded_idata); + number_of_threads *= 2; + } + } + else { + for (int d = iterations - 1; d >= 0; d--) { + dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + downSweep << > > (padded_size, d, padded_idata); + } + } + if (!caught) { + timer().endGpuTimer(); + } + + cudaMemcpy(odata, padded_idata, sizeof(int) * n, cudaMemcpyDeviceToHost); } + void scan_device(int n, int *odata, const int *idata, int blockSize) { + int padded_size = 1 << (ilog2ceil(n)); + + cudaMalloc((void**)&padded_idata, padded_size * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc padded_idata failed!"); + + cudaMemset(padded_idata, 0, padded_size * sizeof(int)); + cudaMemcpy(padded_idata, idata, sizeof(int) * n, cudaMemcpyDeviceToDevice); + + bool caught = false; + try { + timer().startGpuTimer(); + } + catch (const std::exception& e) { + caught = true; + } + + + + int iterations = ilog2(padded_size); + dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + + bool optimized = false; + //Up-Sweep + if (optimized) { + int number_of_threads = padded_size; + for (int d = 0; d < iterations; d++) { + number_of_threads /= 2; + dim3 fullBlocksPerGridUpSweep((number_of_threads + blockSize - 1) / blockSize); + upSweepOptimized << > > (padded_size, d, padded_idata); + } + } + else { + for (int d = 0; d < iterations; d++) { + dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + upSweep << > > (padded_size, d, padded_idata); + } + } + + + //Down-Sweep + cudaMemset(padded_idata + (padded_size - 1), 0, sizeof(int)); + + + if (optimized) { + int number_of_threads = 1; + for (int d = iterations - 1; d >= 0; d--) { + dim3 fullBlocksPerGridDownSweep((number_of_threads + blockSize - 1) / blockSize); + downSweepOptimized << > > (padded_size, d, padded_idata); + number_of_threads *= 2; + } + } + else { + for (int d = iterations - 1; d >= 0; d--) { + dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + downSweep << > > (padded_size, d, padded_idata); + } + } + if (!caught) { + timer().endGpuTimer(); + } + + cudaMemcpy(odata, padded_idata, sizeof(int) * n, cudaMemcpyDeviceToDevice); + } + /** * Performs stream compaction on idata, storing the result into odata. * All zeroes are discarded. @@ -30,11 +231,51 @@ namespace StreamCompaction { * @param idata The array of elements to compact. * @returns The number of elements remaining after compaction. */ - int compact(int n, int *odata, const int *idata) { - timer().startGpuTimer(); - // TODO + int compact(int n, int *odata, const int *idata, int blockSize) { + + + cudaMalloc((void**)&dev_idata, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_idata failed!"); + + cudaMemcpy(dev_idata, idata, sizeof(int) * n, cudaMemcpyHostToDevice); + + int* dev_bools; + cudaMalloc((void**)&dev_bools, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_bools failed!"); + int* bools; + bools = (int*)malloc(n * sizeof(int)); + int* indices; + indices = (int*)malloc(n * sizeof(int)); + int *dev_indices; + cudaMalloc((void**)&dev_indices, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_bools failed!"); + + timer().startGpuTimer(); + dim3 fullBlocksPerGrid((n + blockSize - 1) / blockSize); + + StreamCompaction::Common::kernMapToBoolean << > > (n, dev_bools, dev_idata); + + + cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost); + + + scan(n, indices, bools, blockSize); + + int output_length = indices[n - 1] + bools[n-1]; + + + cudaMemcpy(dev_indices, indices, sizeof(int) * n, cudaMemcpyHostToDevice); + + int *dev_odata; + cudaMalloc((void**)&dev_odata, output_length * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_odata failed!"); + + StreamCompaction::Common::kernScatter << > > (n, dev_odata, dev_idata, dev_bools, dev_indices); + + cudaMemcpy(odata, dev_odata, sizeof(int) * output_length, cudaMemcpyDeviceToHost); + timer().endGpuTimer(); - return -1; + return output_length; } } } diff --git a/Project2-Stream-Compaction/stream_compaction/efficient.h b/Project2-Stream-Compaction/stream_compaction/efficient.h index 803cb4f..0baf55a 100644 --- a/Project2-Stream-Compaction/stream_compaction/efficient.h +++ b/Project2-Stream-Compaction/stream_compaction/efficient.h @@ -6,8 +6,10 @@ namespace StreamCompaction { namespace Efficient { StreamCompaction::Common::PerformanceTimer& timer(); - void scan(int n, int *odata, const int *idata); + void scan(int n, int *odata, const int *idata, int blockSize); - int compact(int n, int *odata, const int *idata); + void scan_device(int n, int *odata, const int *idata, int blockSize); + + int compact(int n, int *odata, const int *idata, int blockSize); } } diff --git a/Project2-Stream-Compaction/stream_compaction/naive.cu b/Project2-Stream-Compaction/stream_compaction/naive.cu index 4308876..af17088 100644 --- a/Project2-Stream-Compaction/stream_compaction/naive.cu +++ b/Project2-Stream-Compaction/stream_compaction/naive.cu @@ -2,6 +2,15 @@ #include #include "common.h" #include "naive.h" +#include "device_launch_parameters.h" +#include + +#define checkCUDAErrorWithLine(msg) checkCUDAError(msg, __LINE__) + +//#define blockSize 128 + +int* dev_A; +int* dev_B; namespace StreamCompaction { namespace Naive { @@ -12,14 +21,41 @@ namespace StreamCompaction { return timer; } // TODO: __global__ - + __global__ void updateSum(int N, int d, int* input, int* output) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= N) { + return; + } + int offset = 1 << (d - 1); + if (index >= offset) { + output[index] = input[index - offset] + input[index]; + } + else { + output[index] = input[index]; + } + } /** * Performs prefix-sum (aka scan) on idata, storing the result into odata. */ - void scan(int n, int *odata, const int *idata) { - timer().startGpuTimer(); - // TODO + void scan(int n, int *odata, const int *idata, int blockSize) { + cudaMalloc((void**)&dev_A, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_A failed!"); + + cudaMalloc((void**)&dev_B, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_B failed!"); + + cudaMemcpy(dev_A, idata, sizeof(int) * n, cudaMemcpyHostToDevice); + + timer().startGpuTimer(); + int iterations = ilog2ceil(n); + for (int d = 1; d <= iterations; d++) { + dim3 fullBlocksPerGrid((n + blockSize - 1) / blockSize); + updateSum << > > (n, d, dev_A, dev_B); + std::swap(dev_A, dev_B); + } timer().endGpuTimer(); + cudaMemcpy(odata + 1, dev_A, sizeof(int) * (n - 1), cudaMemcpyDeviceToHost); + odata[0] = 0; } } } diff --git a/Project2-Stream-Compaction/stream_compaction/naive.h b/Project2-Stream-Compaction/stream_compaction/naive.h index 37dcb06..96cd349 100644 --- a/Project2-Stream-Compaction/stream_compaction/naive.h +++ b/Project2-Stream-Compaction/stream_compaction/naive.h @@ -6,6 +6,6 @@ namespace StreamCompaction { namespace Naive { StreamCompaction::Common::PerformanceTimer& timer(); - void scan(int n, int *odata, const int *idata); + void scan(int n, int *odata, const int *idata, int blockSize); } } diff --git a/Project2-Stream-Compaction/stream_compaction/radix.cu b/Project2-Stream-Compaction/stream_compaction/radix.cu new file mode 100644 index 0000000..a9ece05 --- /dev/null +++ b/Project2-Stream-Compaction/stream_compaction/radix.cu @@ -0,0 +1,133 @@ +#include +#include +#include +#include "common.h" +#include "radix.h" +#include "efficient.h" +#include "device_launch_parameters.h" +#include + +#define checkCUDAErrorWithLine(msg) checkCUDAError(msg, __LINE__) +#define MAX_BIT 6 +#define blockSize 128 + +int* data; +int* output; + +int* B; +int* E; +int* F; +int* T; +int* D; + +namespace StreamCompaction { + namespace Radix { + using StreamCompaction::Common::PerformanceTimer; + PerformanceTimer& timer() + { + static PerformanceTimer timer; + return timer; + } + + + __global__ void compute_b_e(int n, int position, int* input, int* B, int* E) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + int value = input[index]; + int bit = (value >> position) & 1; + if (bit == 0) { + B[index] = 0; + E[index] = 1; + } + else { + B[index] = 1; + E[index] = 0; + } + } + + __global__ void compute_total_falses(int n, int* totalFalses, int* E, int* F) { + *totalFalses = E[n - 1] + F[n - 1]; + } + + __global__ void compute_t(int n, int* F, int* totalFalses, int* T) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + T[index] = index - F[index] + (*totalFalses); + } + + __global__ void compute_d(int n, int* B, int* T, int* F, int* D) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + D[index] = B[index] ? T[index] : F[index]; + } + + __global__ void scatter(int n, int* indices, int* inp, int* op) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + op[indices[index]] = inp[index]; + } + + void sort(int n, int* odata, int*idata) { + cudaMalloc((void**)&data, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc data failed!"); + + cudaMalloc((void**)&output, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc output failed!"); + + cudaMemcpy(data, idata, sizeof(int) * n, cudaMemcpyHostToDevice); + + cudaMalloc((void**)&B, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc B failed!"); + + cudaMalloc((void**)&E, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc E failed!"); + + cudaMalloc((void**)&F, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc F failed!"); + + cudaMalloc((void**)&T, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc T failed!"); + + cudaMalloc((void**)&D, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc D failed!"); + + int* totalFalses; + cudaMalloc((void**)&totalFalses, sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc totalFalses failed!"); + + timer().startGpuTimer(); + + for (int i = 0; i < MAX_BIT; i++) { + dim3 fullBlocksPerGrid((n + blockSize - 1) / blockSize); + compute_b_e << >> (n, i, data, B, E); + + //Scan E and store in F + StreamCompaction::Efficient::scan_device(n, F, E, blockSize); + + compute_total_falses << <1,1>> > (n, totalFalses, E, F); + + compute_t << > > (n, F, totalFalses, T); + + compute_d << > > (n, B, T, F, D); + + //Scatter as per D + scatter << > > (n, D, data, output); + + //Copy output back to input + cudaMemcpy(data, output, sizeof(int) * n, cudaMemcpyDeviceToDevice); + } + + timer().endGpuTimer(); + + cudaMemcpy(odata, output, sizeof(int) * n, cudaMemcpyDeviceToHost); + } + } +} \ No newline at end of file diff --git a/Project2-Stream-Compaction/stream_compaction/radix.h b/Project2-Stream-Compaction/stream_compaction/radix.h new file mode 100644 index 0000000..9b42fd1 --- /dev/null +++ b/Project2-Stream-Compaction/stream_compaction/radix.h @@ -0,0 +1,11 @@ +#pragma once + +#include "common.h" + +namespace StreamCompaction { + namespace Radix { + StreamCompaction::Common::PerformanceTimer& timer(); + + void sort(int n, int* odata, int*idata); + } +} \ No newline at end of file diff --git a/Project2-Stream-Compaction/stream_compaction/shared.cu b/Project2-Stream-Compaction/stream_compaction/shared.cu new file mode 100644 index 0000000..d595085 --- /dev/null +++ b/Project2-Stream-Compaction/stream_compaction/shared.cu @@ -0,0 +1,354 @@ +#include +#include +#include "common.h" +#include "shared.h" +#include "efficient.h" +#include "device_launch_parameters.h" + + +#define checkCUDAErrorWithLine(msg) checkCUDAError(msg, __LINE__) + +//#define blockSize 128 + +int* dev_idata_shared; +int* padded_idata_shared; + +namespace StreamCompaction { + namespace Shared { + using StreamCompaction::Common::PerformanceTimer; + PerformanceTimer& timer() + { + static PerformanceTimer timer; + return timer; + } + + void printArray(int n, int *a, bool abridged = false) { + printf(" [ "); + for (int i = 0; i < n; i++) { + if (abridged && i + 2 == 15 && n > 16) { + i = n - 2; + printf("... "); + } + printf("%3d ", a[i]); + } + printf("]\n"); + } + + __global__ void upSweep(int n, int d, int* A) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + int stride = 1 << (d + 1); + int other_index = 1 << d; + if ((index) % stride == 0) { + A[index + stride - 1] += A[index + other_index - 1]; + } + } + + __global__ void downSweep(int n, int d, int* A) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= n) { + return; + } + int left_index = 1 << (d); + int right_index = 1 << (d + 1); + if (index % right_index == 0) { + int temp = A[index + left_index - 1]; + A[index + left_index - 1] = A[index + right_index - 1]; + A[index + right_index - 1] += temp; + } + } + + + __global__ void scan_array(int n, int* A, int* B, int* intermediate) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + + if (index >= n) { + return; + } + int BLOCKSIZE = blockDim.x; + __shared__ int s[512]; + + int tid = threadIdx.x; + //Copy Global Memory to Shared + s[tid] = A[threadIdx.x + (blockIdx.x * BLOCKSIZE)]; + + int iterations = ilog2ceil(BLOCKSIZE); + + //Up Sweep + for (int d = 0; d < ilog2(BLOCKSIZE); d++) { + __syncthreads(); + int stride = 1 << (d + 1); + int other_index = 1 << d; + if ((tid) % stride == 0) { + s[tid + stride - 1] += s[tid + other_index - 1]; + } + } + //__syncthreads(); + + if (threadIdx.x == BLOCKSIZE - 1) { + //Add last element of block (upsweep) to intermediate array + intermediate[blockIdx.x] = s[BLOCKSIZE - 1]; + s[BLOCKSIZE - 1] = 0; + } + + //__syncthreads(); + + //Down Sweep + for (int d = iterations - 1; d >= 0; d--) { + __syncthreads(); + int left_index = 1 << (d); + int right_index = 1 << (d + 1); + if (tid % right_index == 0) { + int temp = s[tid + left_index - 1]; + s[tid + left_index - 1] = s[tid + right_index - 1]; + s[tid + right_index - 1] += temp; + } + } + + //Copy Result Back to Global Memory + B[threadIdx.x + (blockIdx.x * BLOCKSIZE)] = s[threadIdx.x]; + + } + + __global__ void scan_array_old(int n, int* A) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + + if (index >= n) { + return; + } + + int iterations = ilog2ceil(n); + + //Up Sweep + for (int d = 0; d < ilog2(n); d++) { + __syncthreads(); + int stride = 1 << (d + 1); + int other_index = 1 << d; + if ((index) % stride == 0) { + A[index + stride - 1] += A[index + other_index - 1]; + } + } + __syncthreads(); + //Down Sweep + A[n - 1] = 0; + + for (int d = iterations - 1; d >= 0; d--) { + __syncthreads(); + int left_index = 1 << (d); + int right_index = 1 << (d + 1); + if (index % right_index == 0) { + int temp = A[index + left_index - 1]; + A[index + left_index - 1] = A[index + right_index - 1]; + A[index + right_index - 1] += temp; + } + } + + } + + __global__ void merge(int n, int* A, int* intermediate) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + + if (index >= n) { + return; + } + if(blockIdx.x > 0) + A[index] = A[index] + intermediate[blockIdx.x]; + } + + /** + * Performs prefix-sum (aka scan) on idata, storing the result into odata. + */ + void scan(int n, int *odata, const int *idata, int blockSize) { + int* dev_odata; + int* dev_intermediate; + int* dev_intermediate_scan; + + int padded_size = 1 << (ilog2ceil(n)); + int numberOfBlocks = (padded_size + blockSize - 1) / blockSize; + + cudaMalloc((void**)&padded_idata_shared, padded_size * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc padded_idata_shared failed!"); + + cudaMalloc((void**)&dev_odata, padded_size * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc padded_idata_shared failed!"); + + cudaMalloc((void**)&dev_intermediate, numberOfBlocks * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc padded_idata_shared failed!"); + + cudaMalloc((void**)&dev_intermediate_scan, numberOfBlocks * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc padded_idata_shared failed!"); + + + cudaMemset(padded_idata_shared, 0, padded_size * sizeof(int)); + cudaMemcpy(padded_idata_shared, idata, sizeof(int) * n, cudaMemcpyHostToDevice); + + bool caught = false; + try { + timer().startGpuTimer(); + } + catch (const std::exception& e) { + caught = true; + } + + dim3 fullBlocksPerGrid(numberOfBlocks); + + scan_array << > > (padded_size, padded_idata_shared, dev_odata, dev_intermediate); + + int* inter = (int*)malloc(numberOfBlocks * sizeof(int)); + /*printf("Number: %d", numberOfBlocks); + printf("\nINTERMEDIATE\n"); + cudaMemcpy(inter, dev_intermediate, sizeof(int) * numberOfBlocks, cudaMemcpyDeviceToHost); + printArray(numberOfBlocks, inter, true);*/ + + //Scan the intermediate array (without shared memory in GPU) + StreamCompaction::Efficient::scan_device(numberOfBlocks, dev_intermediate_scan, dev_intermediate, blockSize); + + + + int* inter2 = (int*)malloc(numberOfBlocks * sizeof(int)); + /*printf("INTERMEDIATE SCAN\n"); + cudaMemcpy(inter2, dev_intermediate_scan, sizeof(int) * numberOfBlocks, cudaMemcpyDeviceToHost); + printArray(numberOfBlocks, inter2, true);*/ + + + //Add the elements of dev_intermediate to dev_odata + merge << > > (padded_size, dev_odata, dev_intermediate_scan); + + //scan_array_old << > > (padded_size, padded_idata_shared); + + if (!caught) { + timer().endGpuTimer(); + } + + cudaMemcpy(odata, dev_odata, sizeof(int) * padded_size, cudaMemcpyDeviceToHost); + + /*cudaFree(padded_idata_shared); + cudaFree(dev_odata); + cudaFree(dev_intermediate); + cudaFree(dev_intermediate_scan);*/ + } + + //void scan_device(int n, int *odata, const int *idata, int blockSize) { + // int padded_size = 1 << (ilog2ceil(n)); + + // cudaMalloc((void**)&padded_idata_shared, padded_size * sizeof(int)); + // checkCUDAErrorWithLine("cudaMalloc padded_idata_shared failed!"); + + // cudaMemset(padded_idata_shared, 0, padded_size * sizeof(int)); + // cudaMemcpy(padded_idata_shared, idata, sizeof(int) * n, cudaMemcpyDeviceToDevice); + + // bool caught = false; + // try { + // timer().startGpuTimer(); + // } + // catch (const std::exception& e) { + // caught = true; + // } + + + + // int iterations = ilog2(padded_size); + // dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + + // bool optimized = false; + // //Up-Sweep + // if (optimized) { + // int number_of_threads = padded_size; + // for (int d = 0; d < iterations; d++) { + // number_of_threads /= 2; + // dim3 fullBlocksPerGridUpSweep((number_of_threads + blockSize - 1) / blockSize); + // upSweepOptimized << > > (padded_size, d, padded_idata_shared); + // } + // } + // else { + // for (int d = 0; d < iterations; d++) { + // dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + // upSweep << > > (padded_size, d, padded_idata_shared); + // } + // } + + + // //Down-Sweep + // cudaMemset(padded_idata_shared + (padded_size - 1), 0, sizeof(int)); + + + // if (optimized) { + // int number_of_threads = 1; + // for (int d = iterations - 1; d >= 0; d--) { + // dim3 fullBlocksPerGridDownSweep((number_of_threads + blockSize - 1) / blockSize); + // downSweepOptimized << > > (padded_size, d, padded_idata_shared); + // number_of_threads *= 2; + // } + // } + // else { + // for (int d = iterations - 1; d >= 0; d--) { + // dim3 fullBlocksPerGrid((padded_size + blockSize - 1) / blockSize); + // downSweep << > > (padded_size, d, padded_idata_shared); + // } + // } + // if (!caught) { + // timer().endGpuTimer(); + // } + + // cudaMemcpy(odata, padded_idata_shared, sizeof(int) * n, cudaMemcpyDeviceToDevice); + //} + + /** + * Performs stream compaction on idata, storing the result into odata. + * All zeroes are discarded. + * + * @param n The number of elements in idata. + * @param odata The array into which to store elements. + * @param idata The array of elements to compact. + * @returns The number of elements remaining after compaction. + */ + int compact(int n, int *odata, const int *idata, int blockSize) { + + + cudaMalloc((void**)&dev_idata_shared, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_idata_shared failed!"); + + cudaMemcpy(dev_idata_shared, idata, sizeof(int) * n, cudaMemcpyHostToDevice); + + int* dev_bools; + cudaMalloc((void**)&dev_bools, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_bools failed!"); + int* bools; + bools = (int*)malloc(n * sizeof(int)); + int* indices; + indices = (int*)malloc(n * sizeof(int)); + int *dev_indices; + cudaMalloc((void**)&dev_indices, n * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_bools failed!"); + + timer().startGpuTimer(); + dim3 fullBlocksPerGrid((n + blockSize - 1) / blockSize); + + StreamCompaction::Common::kernMapToBoolean << > > (n, dev_bools, dev_idata_shared); + + + cudaMemcpy(bools, dev_bools, sizeof(int) * n, cudaMemcpyDeviceToHost); + + + scan(n, indices, bools, blockSize); + + int output_length = indices[n - 1] + bools[n - 1]; + + + cudaMemcpy(dev_indices, indices, sizeof(int) * n, cudaMemcpyHostToDevice); + + int *dev_odata; + cudaMalloc((void**)&dev_odata, output_length * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_odata failed!"); + + StreamCompaction::Common::kernScatter << > > (n, dev_odata, dev_idata_shared, dev_bools, dev_indices); + + cudaMemcpy(odata, dev_odata, sizeof(int) * output_length, cudaMemcpyDeviceToHost); + + timer().endGpuTimer(); + return output_length; + } + } +} diff --git a/Project2-Stream-Compaction/stream_compaction/shared.h b/Project2-Stream-Compaction/stream_compaction/shared.h new file mode 100644 index 0000000..9c1a11e --- /dev/null +++ b/Project2-Stream-Compaction/stream_compaction/shared.h @@ -0,0 +1,15 @@ +#pragma once + +#include "common.h" + +namespace StreamCompaction { + namespace Shared { + StreamCompaction::Common::PerformanceTimer& timer(); + + void scan(int n, int *odata, const int *idata, int blockSize); + + void scan_device(int n, int *odata, const int *idata, int blockSize); + + int compact(int n, int *odata, const int *idata, int blockSize); + } +} diff --git a/Project2-Stream-Compaction/stream_compaction/thrust.cu b/Project2-Stream-Compaction/stream_compaction/thrust.cu index 1def45e..4ecabe2 100644 --- a/Project2-Stream-Compaction/stream_compaction/thrust.cu +++ b/Project2-Stream-Compaction/stream_compaction/thrust.cu @@ -22,7 +22,11 @@ namespace StreamCompaction { // TODO use `thrust::exclusive_scan` // example: for device_vectors dv_in and dv_out: // thrust::exclusive_scan(dv_in.begin(), dv_in.end(), dv_out.begin()); + thrust::device_vector dev_in(idata, idata+n); + thrust::device_vector dev_op(odata, odata+n); + thrust::exclusive_scan(dev_in.begin(), dev_in.end(), dev_op.begin()); timer().endGpuTimer(); + thrust::copy(dev_op.begin(), dev_op.end(), odata); } } } diff --git a/README.md b/README.md index 3a0b2fe..bceecaa 100644 --- a/README.md +++ b/README.md @@ -3,14 +3,11 @@ CUDA Number Algorithms **University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 2** -* (TODO) YOUR NAME HERE - * (TODO) [LinkedIn](), [personal website](), [twitter](), etc. -* Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab) +* Saket Karve + * [LinkedIn](https://www.linkedin.com/in/saket-karve-43930511b/), [twitter](), etc. +* Tested on: Windows 10 Education, Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz 16GB, NVIDIA Quadro P1000 @ 4GB (Moore 100B Lab) -### (TODO: Your README) - -Link to the readmes of the other two subprojects. - -Add anything else you think is relevant up to this point. -(Remember, this is public, so don't put anything here that you don't want to share with the world.) +The two projects implemented are, +1. Stream Compaction - [README](./Project2-Stream-Compaction/README.md) +2. Character Recognition - [README](./Project2-Character-Recognition/README.md)