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 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230
|
/* 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.
*/
/*
* This sample implements 64-bin histogram calculation
* of arbitrary-sized 8-bit data array
*/
// CUDA Runtime
#include <cuda_runtime.h>
// Utility and system includes
#include <helper_cuda.h>
#include <helper_functions.h> // helper for shared that are common to CUDA Samples
// project include
#include "histogram_common.h"
const int numRuns = 16;
const static char *sSDKsample = "[histogram]\0";
int main(int argc, char **argv) {
uchar *h_Data;
uint *h_HistogramCPU, *h_HistogramGPU;
uchar *d_Data;
uint *d_Histogram;
StopWatchInterface *hTimer = NULL;
int PassFailFlag = 1;
uint byteCount = 64 * 1048576;
uint uiSizeMult = 1;
cudaDeviceProp deviceProp;
deviceProp.major = 0;
deviceProp.minor = 0;
// set logfile name and start logs
printf("[%s] - Starting...\n", sSDKsample);
// Use command-line specified CUDA device, otherwise use device with highest
// Gflops/s
int dev = findCudaDevice(argc, (const char **)argv);
checkCudaErrors(cudaGetDeviceProperties(&deviceProp, dev));
printf("CUDA device [%s] has %d Multi-Processors, Compute %d.%d\n",
deviceProp.name, deviceProp.multiProcessorCount, deviceProp.major,
deviceProp.minor);
sdkCreateTimer(&hTimer);
// Optional Command-line multiplier to increase size of array to histogram
if (checkCmdLineFlag(argc, (const char **)argv, "sizemult")) {
uiSizeMult = getCmdLineArgumentInt(argc, (const char **)argv, "sizemult");
uiSizeMult = MAX(1, MIN(uiSizeMult, 10));
byteCount *= uiSizeMult;
}
printf("Initializing data...\n");
printf("...allocating CPU memory.\n");
h_Data = (uchar *)malloc(byteCount);
h_HistogramCPU = (uint *)malloc(HISTOGRAM256_BIN_COUNT * sizeof(uint));
h_HistogramGPU = (uint *)malloc(HISTOGRAM256_BIN_COUNT * sizeof(uint));
printf("...generating input data\n");
srand(2009);
for (uint i = 0; i < byteCount; i++) {
h_Data[i] = rand() % 256;
}
printf("...allocating GPU memory and copying input data\n\n");
checkCudaErrors(cudaMalloc((void **)&d_Data, byteCount));
checkCudaErrors(
cudaMalloc((void **)&d_Histogram, HISTOGRAM256_BIN_COUNT * sizeof(uint)));
checkCudaErrors(
cudaMemcpy(d_Data, h_Data, byteCount, cudaMemcpyHostToDevice));
{
printf("Starting up 64-bin histogram...\n\n");
initHistogram64();
printf("Running 64-bin GPU histogram for %u bytes (%u runs)...\n\n",
byteCount, numRuns);
for (int iter = -1; iter < numRuns; iter++) {
// iter == -1 -- warmup iteration
if (iter == 0) {
cudaDeviceSynchronize();
sdkResetTimer(&hTimer);
sdkStartTimer(&hTimer);
}
histogram64(d_Histogram, d_Data, byteCount);
}
cudaDeviceSynchronize();
sdkStopTimer(&hTimer);
double dAvgSecs =
1.0e-3 * (double)sdkGetTimerValue(&hTimer) / (double)numRuns;
printf("histogram64() time (average) : %.5f sec, %.4f MB/sec\n\n", dAvgSecs,
((double)byteCount * 1.0e-6) / dAvgSecs);
printf(
"histogram64, Throughput = %.4f MB/s, Time = %.5f s, Size = %u Bytes, "
"NumDevsUsed = %u, Workgroup = %u\n",
(1.0e-6 * (double)byteCount / dAvgSecs), dAvgSecs, byteCount, 1,
HISTOGRAM64_THREADBLOCK_SIZE);
printf("\nValidating GPU results...\n");
printf(" ...reading back GPU results\n");
checkCudaErrors(cudaMemcpy(h_HistogramGPU, d_Histogram,
HISTOGRAM64_BIN_COUNT * sizeof(uint),
cudaMemcpyDeviceToHost));
printf(" ...histogram64CPU()\n");
histogram64CPU(h_HistogramCPU, h_Data, byteCount);
printf(" ...comparing the results...\n");
for (uint i = 0; i < HISTOGRAM64_BIN_COUNT; i++)
if (h_HistogramGPU[i] != h_HistogramCPU[i]) {
PassFailFlag = 0;
}
printf(PassFailFlag ? " ...64-bin histograms match\n\n"
: " ***64-bin histograms do not match!!!***\n\n");
printf("Shutting down 64-bin histogram...\n\n\n");
closeHistogram64();
}
{
printf("Initializing 256-bin histogram...\n");
initHistogram256();
printf("Running 256-bin GPU histogram for %u bytes (%u runs)...\n\n",
byteCount, numRuns);
for (int iter = -1; iter < numRuns; iter++) {
// iter == -1 -- warmup iteration
if (iter == 0) {
checkCudaErrors(cudaDeviceSynchronize());
sdkResetTimer(&hTimer);
sdkStartTimer(&hTimer);
}
histogram256(d_Histogram, d_Data, byteCount);
}
cudaDeviceSynchronize();
sdkStopTimer(&hTimer);
double dAvgSecs =
1.0e-3 * (double)sdkGetTimerValue(&hTimer) / (double)numRuns;
printf("histogram256() time (average) : %.5f sec, %.4f MB/sec\n\n",
dAvgSecs, ((double)byteCount * 1.0e-6) / dAvgSecs);
printf(
"histogram256, Throughput = %.4f MB/s, Time = %.5f s, Size = %u Bytes, "
"NumDevsUsed = %u, Workgroup = %u\n",
(1.0e-6 * (double)byteCount / dAvgSecs), dAvgSecs, byteCount, 1,
HISTOGRAM256_THREADBLOCK_SIZE);
printf("\nValidating GPU results...\n");
printf(" ...reading back GPU results\n");
checkCudaErrors(cudaMemcpy(h_HistogramGPU, d_Histogram,
HISTOGRAM256_BIN_COUNT * sizeof(uint),
cudaMemcpyDeviceToHost));
printf(" ...histogram256CPU()\n");
histogram256CPU(h_HistogramCPU, h_Data, byteCount);
printf(" ...comparing the results\n");
for (uint i = 0; i < HISTOGRAM256_BIN_COUNT; i++)
if (h_HistogramGPU[i] != h_HistogramCPU[i]) {
PassFailFlag = 0;
}
printf(PassFailFlag ? " ...256-bin histograms match\n\n"
: " ***256-bin histograms do not match!!!***\n\n");
printf("Shutting down 256-bin histogram...\n\n\n");
closeHistogram256();
}
printf("Shutting down...\n");
sdkDeleteTimer(&hTimer);
checkCudaErrors(cudaFree(d_Histogram));
checkCudaErrors(cudaFree(d_Data));
free(h_HistogramGPU);
free(h_HistogramCPU);
free(h_Data);
printf(
"\nNOTE: The CUDA Samples are not meant for performance measurements. "
"Results may vary when GPU Boost is enabled.\n\n");
printf("%s - Test Summary\n", sSDKsample);
// pass or fail (for both 64 bit and 256 bit histograms)
if (!PassFailFlag) {
printf("Test failed!\n");
exit(EXIT_FAILURE);
}
printf("Test passed\n");
exit(EXIT_SUCCESS);
}
|