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67 lines
1.8 KiB
67 lines
1.8 KiB
#include <fstream>
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#include "MonteCarloTests.h"
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#include "Common.h"
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CTG::CTG(size_t _randomNumbers, size_t _threadCount)
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{
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randomNumbers = _randomNumbers;
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threadCount = _threadCount;
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randomBuffer = std::vector<float>(threadCount * randomNumbers);
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seedBuffer = std::vector<float>(threadCount);
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kernel_name = "randomCTG";
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for (int i = 0; i < threadCount; ++i)
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{
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seedBuffer[i] = rand();
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}
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}
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void CTG::collect_results(cl::CommandQueue* queue) {
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}
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void CTG::gpu_compute(cl::Context* context, cl::CommandQueue* queue, cl::Program* program, cl::Event* Event) {
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cl_int err = CL_SUCCESS;
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cl::Kernel kernel = cl::Kernel(*program, kernel_name.c_str(), &err);
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CheckCLError(err);
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clInputBuffer = cl::Buffer(*context, CL_MEM_READ_ONLY, sizeof(float) * threadCount, NULL, &err);
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queue->enqueueWriteBuffer(clInputBuffer, true, 0, sizeof(float) * threadCount, seedBuffer.data());
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clResultBuffer = cl::Buffer(*context, CL_MEM_WRITE_ONLY, sizeof(float) * threadCount * randomNumbers, NULL, &err);
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// Set the kernel parameters
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kernel.setArg(0, randomNumbers);
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kernel.setArg(1, clInputBuffer);
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kernel.setArg(2, clResultBuffer);
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// Enqueue the kernel: threadCount threads in total, each generating random numbers in [0,1] randomNumbers times
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queue->enqueueNDRangeKernel(kernel,
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cl::NullRange,
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cl::NDRange(threadCount, 1),
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cl::NullRange,
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NULL,
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Event);
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}
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void CTG::cpu_compute()
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{
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}
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bool CTG::validate_results()
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{
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std::ofstream ofs("randoms_" + description() + ".txt", std::ofstream::out);
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for (int i = 0; i < threadCount; ++i) {
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for (int j = 0; j < randomNumbers; ++j) {
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ofs << j << " " << randomBuffer[i + j * threadCount] << std::endl;
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}
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}
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ofs.close();
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return true;
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}
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std::string CTG::description()
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{
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return kernel_name + "(numbers=" + std::to_string(randomNumbers) + ",threads=" + std::to_string(threadCount) + ")";
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}
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