dot

cuBLAS Level-1 APIs - cublas<t>dot

Description

This code demonstrates a usage of cuBLAS dot and dotc function to apply the dot product to vector x and y

A = | 1.0 | 2.0 | 3.0 | 4.0 |
B = | 5.0 | 6.0 | 7.0 | 8.0 |

For dotc

A = | 1.1 + 1.2j | 2.3 + 2.4j | 3.5 + 3.6j | 4.7 + 4.8j |
B = | 5.1 + 5.2j | 6.3 + 6.4j | 7.5 + 7.6j | 8.7 + 8.8j |

This function computes the dot product of vectors x and y.

See documentation for further details.

Supported SM Architectures

All GPUs supported by CUDA Toolkit (https://developer.nvidia.com/cuda-gpus)

Supported OSes

Linux
Windows

Supported CPU Architecture

x86_64
ppc64le
arm64-sbsa

CUDA APIs involved

• cublas<t>dot API
• cublas<t>dotc API

Building (make)

Prerequisites

• A Linux/Windows system with recent NVIDIA drivers.
• CMake version 3.18 minimum

Build command on Linux

$ mkdir build
$ cd build
$ cmake ..
$ make

Make sure that CMake finds expected CUDA Toolkit. If that is not the case you can add argument -DCMAKE_CUDA_COMPILER=/path/to/cuda/bin/nvcc to cmake command.

Build command on Windows

$ mkdir build
$ cd build
$ cmake -DCMAKE_GENERATOR_PLATFORM=x64 ..
$ Open cublas_examples.sln project in Visual Studio and build

Usage 1

$  ./cublas_dot_example

Sample example output:

A
1.00 2.00 3.00 4.00
=====
B
5.00 6.00 7.00 8.00
=====
Result
70.00

Usage 2

$  ./cublas_dotc_example

Sample example output:

A
1.10 + 1.20j 2.30 + 2.40j 3.50 + 3.60j 4.70 + 4.80j
=====
B
5.10 + 5.20j 6.30 + 6.40j 7.50 + 7.60j 8.70 + 8.80j
=====
Result
178.44+-1.60j