50 lines
1.9 KiB
50 lines
1.9 KiB
#include "basicValueIteration.h"
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#include <iostream>
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#include <chrono>
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#include <cuda_runtime.h>
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#include "cusparse_v2.h"
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__global__ void cuda_kernel_basicValueIteration_mvReduce(int const * const A, int * const B) {
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*B = *A;
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}
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void basicValueIteration_mvReduce(uint_fast64_t const maxIterationCount, std::vector<uint_fast64_t> const& matrixRowIndices, std::vector<uint_fast64_t> const& matrixColumnIndices, std::vector<double> const& matrixValues, std::vector<double>& x, std::vector<double> const& b, std::vector<uint_fast64_t> const& nondeterministicChoiceIndices) {
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std::cout << "basicValueIteration_mvReduce is implemented for ValueType == double :)" << std::endl;
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}
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/*
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void kernelSwitchTest(size_t N) {
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int* deviceIntA;
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int* deviceIntB;
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if (cudaMalloc((void**)&deviceIntA, sizeof(int)) != cudaSuccess) {
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std::cout << "Error in cudaMalloc while allocating " << sizeof(int) << " Bytes!" << std::endl;
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return;
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}
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if (cudaMalloc((void**)&deviceIntB, sizeof(int)) != cudaSuccess) {
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std::cout << "Error in cudaMalloc while allocating " << sizeof(int) << " Bytes!" << std::endl;
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return;
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}
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// Allocate space on the device
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auto start_time = std::chrono::high_resolution_clock::now();
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for (int i = 0; i < N; ++i) {
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cuda_kernel_kernelSwitchTest<<<1,1>>>(deviceIntA, deviceIntB);
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}
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auto end_time = std::chrono::high_resolution_clock::now();
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std::cout << "Switching the Kernel " << N << " times took " << std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time).count() << "micros" << std::endl;
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std::cout << "Resulting in " << (std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time).count() / ((double)(N))) << "Microseconds per Kernel Switch" << std::endl;
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// Free memory on device
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if (cudaFree(deviceIntA) != cudaSuccess) {
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std::cout << "Error in cudaFree!" << std::endl;
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return;
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}
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if (cudaFree(deviceIntB) != cudaSuccess) {
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std::cout << "Error in cudaFree!" << std::endl;
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return;
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}
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}*/
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