forked from NVIDIA/cuda-samples
-
Notifications
You must be signed in to change notification settings - Fork 0
/
addKernel.cuh
60 lines (54 loc) · 2.63 KB
/
addKernel.cuh
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "common.h"
///////////////////////////////////////////////////////////////////////////////
/// \brief add two vectors of size _count_
///
/// CUDA kernel
/// \param[in] op1 term one
/// \param[in] op2 term two
/// \param[in] count vector size
/// \param[out] sum result
///////////////////////////////////////////////////////////////////////////////
__global__ void AddKernel(const float *op1, const float *op2, int count,
float *sum) {
const int pos = threadIdx.x + blockIdx.x * blockDim.x;
if (pos >= count) return;
sum[pos] = op1[pos] + op2[pos];
}
///////////////////////////////////////////////////////////////////////////////
/// \brief add two vectors of size _count_
/// \param[in] op1 term one
/// \param[in] op2 term two
/// \param[in] count vector size
/// \param[out] sum result
///////////////////////////////////////////////////////////////////////////////
static void Add(const float *op1, const float *op2, int count, float *sum) {
dim3 threads(256);
dim3 blocks(iDivUp(count, threads.x));
AddKernel<<<blocks, threads>>>(op1, op2, count, sum);
}