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73 lines
2.0 KiB
73 lines
2.0 KiB
#include <iostream>
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#include "../Common.h"
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#include "Tests.h"
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#include <random>
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ExclusiveScan::ExclusiveScan(size_t max_size)
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{
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// Must be power of 2, breaks above 512
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data_size = max_size;
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std::random_device rd;
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std::mt19937 gen(rd());
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std::uniform_int_distribution<int> distr(0, 100);
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for (size_t index = 0; index < data_size; ++index) {
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int val = distr(gen);
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sourceData.push_back(val);
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gpuResult.push_back(val);
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}
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}
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void ExclusiveScan::gpu_compute(cl::Context* context, cl::CommandQueue* queue, cl::Program* program, cl::Event* Event)
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{
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cl_int err = CL_SUCCESS;
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cl::Kernel kernel = cl::Kernel(*program, "exscan_global", &err);
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CheckCLError(err);
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clInputBuffer = cl::Buffer(*context, CL_MEM_READ_ONLY, sizeof(int) * data_size, NULL, &err);
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CheckCLError(err);
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queue->enqueueWriteBuffer(clInputBuffer, true, 0, sizeof(int) * data_size, gpuResult.data());
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kernel.setArg(0, clInputBuffer);
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queue->enqueueNDRangeKernel(kernel,
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cl::NullRange, // Indexek nem eloffszetelve
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cl::NDRange(data_size, 1), // Minden elemet egy szál
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cl::NDRange(data_size, 1), // Workgroup méret? - ez az auto, ha nem indul, 1024-re, onnan csökkent, amig elindul
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NULL, //
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Event);
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}
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void ExclusiveScan::cpu_compute()
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{
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for (size_t i = 0; i < data_size; i++) {
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int tmp = 0;
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for (size_t j = 0; j < i; j++) {
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tmp += sourceData[j];
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}
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cpuResult.push_back(tmp);
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}
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}
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void ExclusiveScan::collect_results(cl::CommandQueue* queue)
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{
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queue->enqueueReadBuffer(clInputBuffer, true, 0, sizeof(int) * data_size, gpuResult.data());
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}
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bool ExclusiveScan::validate_results()
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{
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bool success = true;
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for (size_t index = 0; index < data_size; index++) {
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if (cpuResult[index] != gpuResult[index]) {
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int diff = abs(cpuResult[index] - gpuResult[index]);
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std::cout << "Wrong result at [" << index << "]: " << gpuResult[index] << "!=" << cpuResult[index] << ", diff: " << diff << std::endl;
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success = false;
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}
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}
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return success;
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}
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std::string ExclusiveScan::description()
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{
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return std::string("ExclusiveScan (data_size=" + std::to_string(data_size) + ")");
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}
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