mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-28 15:09:17 +08:00
310 lines
10 KiB
Plaintext
310 lines
10 KiB
Plaintext
/* Copyright (c) 2021, 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.
|
|
*/
|
|
|
|
// System includes
|
|
#include <assert.h>
|
|
#include <stdio.h>
|
|
|
|
// CUDA runtime
|
|
#include <cuda_runtime.h>
|
|
|
|
// helper functions and utilities to work with CUDA
|
|
#include <helper_cuda.h>
|
|
#include <helper_functions.h>
|
|
|
|
#ifndef MAX
|
|
#define MAX(a, b) (a > b ? a : b)
|
|
#endif
|
|
|
|
static const char *sSDKsample = "[simpleVoteIntrinsics]\0";
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Global types and parameters
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
#define VOTE_DATA_GROUP 4
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// CUDA Voting Kernel functions
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
#include "simpleVote_kernel.cuh"
|
|
|
|
// Generate the test pattern for Tests 1 and 2
|
|
void genVoteTestPattern(unsigned int *VOTE_PATTERN, int size) {
|
|
// For testing VOTE.Any (all of these threads will return 0)
|
|
for (int i = 0; i < size / 4; i++) {
|
|
VOTE_PATTERN[i] = 0x00000000;
|
|
}
|
|
|
|
// For testing VOTE.Any (1/2 these threads will return 1)
|
|
for (int i = 2 * size / 8; i < 4 * size / 8; i++) {
|
|
VOTE_PATTERN[i] = (i & 0x01) ? i : 0;
|
|
}
|
|
|
|
// For testing VOTE.all (1/2 of these threads will return 0)
|
|
for (int i = 2 * size / 4; i < 3 * size / 4; i++) {
|
|
VOTE_PATTERN[i] = (i & 0x01) ? 0 : i;
|
|
}
|
|
|
|
// For testing VOTE.all (all of these threads will return 1)
|
|
for (int i = 3 * size / 4; i < 4 * size / 4; i++) {
|
|
VOTE_PATTERN[i] = 0xffffffff;
|
|
}
|
|
}
|
|
|
|
int checkErrors1(unsigned int *h_result, int start, int end, int warp_size,
|
|
const char *voteType) {
|
|
int i, sum = 0;
|
|
|
|
for (sum = 0, i = start; i < end; i++) {
|
|
sum += h_result[i];
|
|
}
|
|
|
|
if (sum > 0) {
|
|
printf("\t<%s>[%d - %d] = ", voteType, start, end - 1);
|
|
|
|
for (i = start; i < end; i++) {
|
|
printf("%d", h_result[i]);
|
|
}
|
|
|
|
printf("%d values FAILED\n", sum);
|
|
}
|
|
|
|
return (sum > 0);
|
|
}
|
|
|
|
int checkErrors2(unsigned int *h_result, int start, int end, int warp_size,
|
|
const char *voteType) {
|
|
int i, sum = 0;
|
|
|
|
for (sum = 0, i = start; i < end; i++) {
|
|
sum += h_result[i];
|
|
}
|
|
|
|
if (sum != warp_size) {
|
|
printf("\t<%s>[%d - %d] = ", voteType, start, end - 1);
|
|
|
|
for (i = start; i < end; i++) {
|
|
printf("%d", h_result[i]);
|
|
}
|
|
|
|
printf(" - FAILED\n");
|
|
}
|
|
|
|
return (sum != warp_size);
|
|
}
|
|
|
|
// Verification code for Kernel #1
|
|
int checkResultsVoteAnyKernel1(unsigned int *h_result, int size,
|
|
int warp_size) {
|
|
int error_count = 0;
|
|
|
|
error_count += checkErrors1(h_result, 0, VOTE_DATA_GROUP * warp_size / 4,
|
|
warp_size, "Vote.Any");
|
|
error_count +=
|
|
checkErrors2(h_result, VOTE_DATA_GROUP * warp_size / 4,
|
|
2 * VOTE_DATA_GROUP * warp_size / 4, warp_size, "Vote.Any");
|
|
error_count +=
|
|
checkErrors2(h_result, 2 * VOTE_DATA_GROUP * warp_size / 4,
|
|
3 * VOTE_DATA_GROUP * warp_size / 4, warp_size, "Vote.Any");
|
|
error_count +=
|
|
checkErrors2(h_result, 3 * VOTE_DATA_GROUP * warp_size / 4,
|
|
4 * VOTE_DATA_GROUP * warp_size / 4, warp_size, "Vote.Any");
|
|
|
|
printf((error_count == 0) ? "\tOK\n" : "\tERROR\n");
|
|
return error_count;
|
|
}
|
|
|
|
// Verification code for Kernel #2
|
|
int checkResultsVoteAllKernel2(unsigned int *h_result, int size,
|
|
int warp_size) {
|
|
int error_count = 0;
|
|
|
|
error_count += checkErrors1(h_result, 0, VOTE_DATA_GROUP * warp_size / 4,
|
|
warp_size, "Vote.All");
|
|
error_count +=
|
|
checkErrors1(h_result, VOTE_DATA_GROUP * warp_size / 4,
|
|
2 * VOTE_DATA_GROUP * warp_size / 4, warp_size, "Vote.All");
|
|
error_count +=
|
|
checkErrors1(h_result, 2 * VOTE_DATA_GROUP * warp_size / 4,
|
|
3 * VOTE_DATA_GROUP * warp_size / 4, warp_size, "Vote.All");
|
|
error_count +=
|
|
checkErrors2(h_result, 3 * VOTE_DATA_GROUP * warp_size / 4,
|
|
4 * VOTE_DATA_GROUP * warp_size / 4, warp_size, "Vote.All");
|
|
|
|
printf((error_count == 0) ? "\tOK\n" : "\tERROR\n");
|
|
return error_count;
|
|
}
|
|
|
|
// Verification code for Kernel #3
|
|
int checkResultsVoteAnyKernel3(bool *hinfo, int size) {
|
|
int i, error_count = 0;
|
|
|
|
for (i = 0; i < size * 3; i++) {
|
|
switch (i % 3) {
|
|
case 0:
|
|
|
|
// First warp should be all zeros.
|
|
if (hinfo[i] != (i >= size * 1)) {
|
|
error_count++;
|
|
}
|
|
|
|
break;
|
|
|
|
case 1:
|
|
|
|
// First warp and half of second should be all zeros.
|
|
if (hinfo[i] != (i >= size * 3 / 2)) {
|
|
error_count++;
|
|
}
|
|
|
|
break;
|
|
|
|
case 2:
|
|
|
|
// First two warps should be all zeros.
|
|
if (hinfo[i] != (i >= size * 2)) {
|
|
error_count++;
|
|
}
|
|
|
|
break;
|
|
}
|
|
}
|
|
|
|
printf((error_count == 0) ? "\tOK\n" : "\tERROR\n");
|
|
return error_count;
|
|
}
|
|
|
|
int main(int argc, char **argv) {
|
|
unsigned int *h_input, *h_result;
|
|
unsigned int *d_input, *d_result;
|
|
|
|
bool *dinfo = NULL, *hinfo = NULL;
|
|
int error_count[3] = {0, 0, 0};
|
|
|
|
cudaDeviceProp deviceProp;
|
|
int devID, warp_size = 32;
|
|
|
|
printf("%s\n", sSDKsample);
|
|
|
|
// This will pick the best possible CUDA capable device
|
|
devID = findCudaDevice(argc, (const char **)argv);
|
|
|
|
checkCudaErrors(cudaGetDeviceProperties(&deviceProp, devID));
|
|
|
|
// Statistics about the GPU device
|
|
printf(
|
|
"> GPU device has %d Multi-Processors, SM %d.%d compute capabilities\n\n",
|
|
deviceProp.multiProcessorCount, deviceProp.major, deviceProp.minor);
|
|
|
|
h_input = (unsigned int *)malloc(VOTE_DATA_GROUP * warp_size *
|
|
sizeof(unsigned int));
|
|
h_result = (unsigned int *)malloc(VOTE_DATA_GROUP * warp_size *
|
|
sizeof(unsigned int));
|
|
checkCudaErrors(
|
|
cudaMalloc(reinterpret_cast<void **>(&d_input),
|
|
VOTE_DATA_GROUP * warp_size * sizeof(unsigned int)));
|
|
checkCudaErrors(
|
|
cudaMalloc(reinterpret_cast<void **>(&d_result),
|
|
VOTE_DATA_GROUP * warp_size * sizeof(unsigned int)));
|
|
genVoteTestPattern(h_input, VOTE_DATA_GROUP * warp_size);
|
|
checkCudaErrors(cudaMemcpy(d_input, h_input,
|
|
VOTE_DATA_GROUP * warp_size * sizeof(unsigned int),
|
|
cudaMemcpyHostToDevice));
|
|
|
|
// Start of Vote Any Test Kernel #1
|
|
printf("[VOTE Kernel Test 1/3]\n");
|
|
printf("\tRunning <<Vote.Any>> kernel1 ...\n");
|
|
{
|
|
checkCudaErrors(cudaDeviceSynchronize());
|
|
dim3 gridBlock(1, 1);
|
|
dim3 threadBlock(VOTE_DATA_GROUP * warp_size, 1);
|
|
VoteAnyKernel1<<<gridBlock, threadBlock>>>(d_input, d_result,
|
|
VOTE_DATA_GROUP * warp_size);
|
|
getLastCudaError("VoteAnyKernel() execution failed\n");
|
|
checkCudaErrors(cudaDeviceSynchronize());
|
|
}
|
|
checkCudaErrors(cudaMemcpy(h_result, d_result,
|
|
VOTE_DATA_GROUP * warp_size * sizeof(unsigned int),
|
|
cudaMemcpyDeviceToHost));
|
|
error_count[0] += checkResultsVoteAnyKernel1(
|
|
h_result, VOTE_DATA_GROUP * warp_size, warp_size);
|
|
|
|
// Start of Vote All Test Kernel #2
|
|
printf("\n[VOTE Kernel Test 2/3]\n");
|
|
printf("\tRunning <<Vote.All>> kernel2 ...\n");
|
|
{
|
|
checkCudaErrors(cudaDeviceSynchronize());
|
|
dim3 gridBlock(1, 1);
|
|
dim3 threadBlock(VOTE_DATA_GROUP * warp_size, 1);
|
|
VoteAllKernel2<<<gridBlock, threadBlock>>>(d_input, d_result,
|
|
VOTE_DATA_GROUP * warp_size);
|
|
getLastCudaError("VoteAllKernel() execution failed\n");
|
|
checkCudaErrors(cudaDeviceSynchronize());
|
|
}
|
|
checkCudaErrors(cudaMemcpy(h_result, d_result,
|
|
VOTE_DATA_GROUP * warp_size * sizeof(unsigned int),
|
|
cudaMemcpyDeviceToHost));
|
|
error_count[1] += checkResultsVoteAllKernel2(
|
|
h_result, VOTE_DATA_GROUP * warp_size, warp_size);
|
|
|
|
// Second Vote Kernel Test #3 (both Any/All)
|
|
hinfo = reinterpret_cast<bool *>(calloc(warp_size * 3 * 3, sizeof(bool)));
|
|
cudaMalloc(reinterpret_cast<void **>(&dinfo),
|
|
warp_size * 3 * 3 * sizeof(bool));
|
|
cudaMemcpy(dinfo, hinfo, warp_size * 3 * 3 * sizeof(bool),
|
|
cudaMemcpyHostToDevice);
|
|
|
|
printf("\n[VOTE Kernel Test 3/3]\n");
|
|
printf("\tRunning <<Vote.Any>> kernel3 ...\n");
|
|
{
|
|
checkCudaErrors(cudaDeviceSynchronize());
|
|
VoteAnyKernel3<<<1, warp_size * 3>>>(dinfo, warp_size);
|
|
checkCudaErrors(cudaDeviceSynchronize());
|
|
}
|
|
|
|
cudaMemcpy(hinfo, dinfo, warp_size * 3 * 3 * sizeof(bool),
|
|
cudaMemcpyDeviceToHost);
|
|
|
|
error_count[2] = checkResultsVoteAnyKernel3(hinfo, warp_size * 3);
|
|
|
|
// Now free these resources for Test #1,2
|
|
checkCudaErrors(cudaFree(d_input));
|
|
checkCudaErrors(cudaFree(d_result));
|
|
free(h_input);
|
|
free(h_result);
|
|
|
|
// Free resources from Test #3
|
|
free(hinfo);
|
|
cudaFree(dinfo);
|
|
|
|
printf("\tShutting down...\n");
|
|
|
|
return (error_count[0] == 0 && error_count[1] == 0 && error_count[2] == 0)
|
|
? EXIT_SUCCESS
|
|
: EXIT_FAILURE;
|
|
}
|