Update dgemv_thread_safety.cpp
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@ -6,12 +6,14 @@
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#include "../cblas.h"
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#include "cpp_thread_safety_common.h"
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void launch_cblas_dgemv(double* A, double* x, double* y, const blasint randomMatSize){
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void launch_cblas_dgemv(double* A, double* x, double* y, const blasint randomMatSize)
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{
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const blasint inc = 1;
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cblas_dgemv(CblasColMajor, CblasNoTrans, randomMatSize, randomMatSize, 1.0, A, randomMatSize, x, inc, 0.1, y, inc);
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}
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}
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int main(int argc, char* argv[]){
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int main(int argc, char* argv[])
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{
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blasint randomMatSize = 1024; //dimension of the random square matrices and vectors being used
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uint32_t numConcurrentThreads = 52; //number of concurrent calls of the functions being tested
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uint32_t numTestRounds = 16; //number of testing rounds before success exit
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@ -20,13 +22,16 @@ int main(int argc, char* argv[]){
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if (maxHwThreads < 52)
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numConcurrentThreads = maxHwThreads;
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if (argc > 4){
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if (argc > 4)
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{
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std::cout<<"ERROR: too many arguments for thread safety tester"<<std::endl;
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abort();
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}
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if(argc == 4){
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if(argc == 4)
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{
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std::vector<std::string> cliArgs;
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for (int i = 1; i < argc; i++){
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for (int i = 1; i < argc; i++)
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{
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cliArgs.push_back(argv[i]);
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std::cout<<argv[i]<<std::endl;
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}
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@ -56,15 +61,18 @@ int main(int argc, char* argv[]){
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std::cout<<"Preparing to test CBLAS DGEMV thread safety\n";
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std::cout<<"Allocating matrices..."<<std::flush;
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for(uint32_t i=0; i<numConcurrentThreads; i++){
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for(uint32_t i=0; i<numConcurrentThreads; i++)
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{
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matBlock.at(i).resize(randomMatSize*randomMatSize);
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}
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std::cout<<"done\n";
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std::cout<<"Allocating vectors..."<<std::flush;
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for(uint32_t i=0; i<(numConcurrentThreads*2); i++){
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for(uint32_t i=0; i<(numConcurrentThreads*2); i++)
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{
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vecBlock.at(i).resize(randomMatSize);
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}
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std::cout<<"done\n";
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//pauser();
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std::cout<<"Filling matrices with random numbers..."<<std::flush;
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@ -77,22 +85,26 @@ int main(int argc, char* argv[]){
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std::cout<<"Testing CBLAS DGEMV thread safety"<<std::endl;
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omp_set_num_threads(numConcurrentThreads);
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for(uint32_t R=0; R<numTestRounds; R++){
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for(uint32_t R=0; R<numTestRounds; R++)
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{
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std::cout<<"DGEMV round #"<<R<<std::endl;
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std::cout<<"Launching "<<numConcurrentThreads<<" threads simultaneously using OpenMP..."<<std::flush;
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#pragma omp parallel for default(none) shared(futureBlock, matBlock, vecBlock, randomMatSize, numConcurrentThreads)
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for(uint32_t i=0; i<numConcurrentThreads; i++){
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for(uint32_t i=0; i<numConcurrentThreads; i++)
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{
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futureBlock[i] = std::async(std::launch::async, launch_cblas_dgemv, &matBlock[i][0], &vecBlock[i*2][0], &vecBlock[i*2+1][0], randomMatSize);
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}
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std::cout<<"done\n";
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std::cout<<"Waiting for threads to finish..."<<std::flush;
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for(uint32_t i=0; i<numConcurrentThreads; i++){
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for(uint32_t i=0; i<numConcurrentThreads; i++)
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{
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futureBlock[i].get();
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}
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std::cout<<"done\n";
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std::cout<<"Comparing results from different threads..."<<std::flush;
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for(uint32_t i=2; i<(numConcurrentThreads*2); i+=2){ //i is the index of vector x, for a given thread
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for(uint32_t j = 0; j < static_cast<uint32_t>(randomMatSize); j++){
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for(uint32_t j = 0; j < static_cast<uint32_t>(randomMatSize); j++)
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{
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if (std::abs(vecBlock[i+1][j] - vecBlock[1][j]) > 1.0E-13){ //i+1 is the index of vector y, for a given thread
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std::cout<<"ERROR: one of the threads returned a different result! Index : "<<i+1<<std::endl;
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std::cout<<"CBLAS DGEMV thread safety test FAILED!"<<std::endl;
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@ -104,4 +116,4 @@ int main(int argc, char* argv[]){
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}
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std::cout<<"CBLAS DGEMV thread safety test PASSED!\n"<<std::endl;
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return 0;
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}
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}
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