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180 lines
6.1 KiB
180 lines
6.1 KiB
/* 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.h> |
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#include <cuda_runtime.h> |
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// Utilities and system includes |
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#include <helper_functions.h> |
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#include "quasirandomGenerator_common.h" |
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#include "quasirandomGenerator_gpu.cuh" |
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//////////////////////////////////////////////////////////////////////////////// |
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// CPU code |
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//////////////////////////////////////////////////////////////////////////////// |
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extern "C" void initQuasirandomGenerator(unsigned int table[QRNG_DIMENSIONS][QRNG_RESOLUTION]); |
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extern "C" float getQuasirandomValue(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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{ |
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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 = 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("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, |
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gpuTime, |
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QRNG_DIMENSIONS * N, |
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1, |
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128 * QRNG_DIMENSIONS); |
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printf("\nReading GPU results...\n"); |
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checkCudaErrors(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("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, |
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gpuTime, |
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QRNG_DIMENSIONS * N, |
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1, |
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128); |
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printf("Reading GPU results...\n"); |
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checkCudaErrors(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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