mirror of
https://github.com/NVIDIA/cuda-samples.git
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182 lines
5.8 KiB
C++
182 lines
5.8 KiB
C++
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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// CUDA Runtime
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#include <cuda_runtime.h>
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#include <cuda.h>
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// Utilities and system includes
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#include <helper_functions.h>
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#include "quasirandomGenerator_gpu.cuh"
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#include "quasirandomGenerator_common.h"
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////////////////////////////////////////////////////////////////////////////////
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// CPU code
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////////////////////////////////////////////////////////////////////////////////
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extern "C" void initQuasirandomGenerator(
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unsigned int table[QRNG_DIMENSIONS][QRNG_RESOLUTION]);
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extern "C" float getQuasirandomValue(
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unsigned int table[QRNG_DIMENSIONS][QRNG_RESOLUTION], int i, int dim);
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extern "C" double getQuasirandomValue63(INT64 i, int dim);
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extern "C" double MoroInvCNDcpu(unsigned int p);
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const int N = 1048576;
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int main(int argc, char **argv) {
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// Start logs
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printf("%s Starting...\n\n", argv[0]);
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// Compile the kernels
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char *kernel_file =
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sdkFindFilePath("quasirandomGenerator_kernel.cu", argv[0]);
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compileFileToCUBIN(kernel_file, argc, argv, &cubin, &cubinSize, 0);
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module = loadCUBIN(cubin, argc, argv);
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unsigned int tableCPU[QRNG_DIMENSIONS][QRNG_RESOLUTION];
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float *h_OutputGPU;
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CUdeviceptr d_Output;
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int dim, pos;
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double delta, ref, sumDelta, sumRef, L1norm, gpuTime;
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StopWatchInterface *hTimer = NULL;
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if (sizeof(INT64) != 8) {
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printf("sizeof(INT64) != 8\n");
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return 0;
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}
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sdkCreateTimer(&hTimer);
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printf("Allocating GPU memory...\n");
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checkCudaErrors(cuMemAlloc(&d_Output, QRNG_DIMENSIONS * N * sizeof(float)));
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printf("Allocating CPU memory...\n");
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h_OutputGPU = (float *)malloc(QRNG_DIMENSIONS * N * sizeof(float));
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printf("Initializing QRNG tables...\n\n");
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initQuasirandomGenerator(tableCPU);
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initTableGPU(tableCPU);
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printf("Testing QRNG...\n\n");
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checkCudaErrors(cuMemsetD8(d_Output, 0, QRNG_DIMENSIONS * N * sizeof(float)));
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int numIterations = 20;
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for (int i = -1; i < numIterations; i++) {
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if (i == 0) {
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sdkResetTimer(&hTimer);
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sdkStartTimer(&hTimer);
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}
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quasirandomGeneratorGPU(d_Output, 0, N);
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}
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sdkStopTimer(&hTimer);
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gpuTime = sdkGetTimerValue(&hTimer) / (double)numIterations * 1e-3;
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printf(
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"quasirandomGenerator, Throughput = %.4f GNumbers/s, Time = %.5f s, Size "
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"= %u Numbers, NumDevsUsed = %u, Workgroup = %u\n",
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(double)QRNG_DIMENSIONS * (double)N * 1.0E-9 / gpuTime, gpuTime,
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QRNG_DIMENSIONS * N, 1, 128 * QRNG_DIMENSIONS);
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printf("\nReading GPU results...\n");
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checkCudaErrors(
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cuMemcpyDtoH(h_OutputGPU, d_Output, QRNG_DIMENSIONS * N * sizeof(float)));
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printf("Comparing to the CPU results...\n\n");
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sumDelta = 0;
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sumRef = 0;
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for (dim = 0; dim < QRNG_DIMENSIONS; dim++)
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for (pos = 0; pos < N; pos++) {
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ref = getQuasirandomValue63(pos, dim);
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delta = (double)h_OutputGPU[dim * N + pos] - ref;
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sumDelta += fabs(delta);
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sumRef += fabs(ref);
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}
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printf("L1 norm: %E\n", sumDelta / sumRef);
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printf("\nTesting inverseCNDgpu()...\n\n");
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checkCudaErrors(cuMemsetD8(d_Output, 0, QRNG_DIMENSIONS * N * sizeof(float)));
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for (int i = -1; i < numIterations; i++) {
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if (i == 0) {
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sdkResetTimer(&hTimer);
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sdkStartTimer(&hTimer);
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}
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inverseCNDgpu(d_Output, QRNG_DIMENSIONS * N);
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}
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sdkStopTimer(&hTimer);
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gpuTime = sdkGetTimerValue(&hTimer) / (double)numIterations * 1e-3;
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printf(
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"quasirandomGenerator-inverse, Throughput = %.4f GNumbers/s, Time = %.5f "
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"s, Size = %u Numbers, NumDevsUsed = %u, Workgroup = %u\n",
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(double)QRNG_DIMENSIONS * (double)N * 1E-9 / gpuTime, gpuTime,
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QRNG_DIMENSIONS * N, 1, 128);
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printf("Reading GPU results...\n");
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checkCudaErrors(
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cuMemcpyDtoH(h_OutputGPU, d_Output, QRNG_DIMENSIONS * N * sizeof(float)));
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printf("\nComparing to the CPU results...\n");
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sumDelta = 0;
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sumRef = 0;
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unsigned int distance = ((unsigned int)-1) / (QRNG_DIMENSIONS * N + 1);
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for (pos = 0; pos < QRNG_DIMENSIONS * N; pos++) {
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unsigned int d = (pos + 1) * distance;
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ref = MoroInvCNDcpu(d);
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delta = (double)h_OutputGPU[pos] - ref;
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sumDelta += fabs(delta);
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sumRef += fabs(ref);
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}
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printf("L1 norm: %E\n\n", L1norm = sumDelta / sumRef);
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printf("Shutting down...\n");
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sdkDeleteTimer(&hTimer);
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free(h_OutputGPU);
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checkCudaErrors(cuMemFree(d_Output));
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exit(L1norm < 1e-6 ? EXIT_SUCCESS : EXIT_FAILURE);
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}
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