--- /dev/null
+include ../Makefile.rule
+
+all :: dgemv_tester dgemm_tester
+
+dgemv_tester :
+ $(CXX) $(COMMON_OPT) -Wall -Wextra -Wshadow -fopenmp -std=c++11 dgemv_thread_safety.cpp ../libopenblas.a -lpthread -o dgemv_tester
+ ./dgemv_tester
+
+dgemm_tester : dgemv_tester
+ $(CXX) $(COMMON_OPT) -Wall -Wextra -Wshadow -fopenmp -std=c++11 dgemm_thread_safety.cpp ../libopenblas.a -lpthread -o dgemm_tester
+ ./dgemm_tester
+
+clean ::
+ rm -f dgemv_tester dgemm_tester
--- /dev/null
+inline void pauser(){
+ /// a portable way to pause a program
+ std::string dummy;
+ std::cout << "Press enter to continue...";
+ std::getline(std::cin, dummy);
+}
+
+void FillMatrices(std::vector<std::vector<double>>& matBlock, std::mt19937_64& PRNG, std::uniform_real_distribution<double>& rngdist, const blasint randomMatSize, const uint32_t numConcurrentThreads, const uint32_t numMat){
+ for(uint32_t i=0; i<numMat; i++){
+ for(uint32_t j = 0; j < static_cast<uint32_t>(randomMatSize*randomMatSize); j++){
+ matBlock[i][j] = rngdist(PRNG);
+ }
+ }
+ for(uint32_t i=numMat; i<(numConcurrentThreads*numMat); i+=numMat){
+ for(uint32_t j=0; j<numMat; j++){
+ matBlock[i+j] = matBlock[j];
+ }
+ }
+}
+
+void FillVectors(std::vector<std::vector<double>>& vecBlock, std::mt19937_64& PRNG, std::uniform_real_distribution<double>& rngdist, const blasint randomMatSize, const uint32_t numConcurrentThreads, const uint32_t numVec){
+ for(uint32_t i=0; i<numVec; i++){
+ for(uint32_t j = 0; j < static_cast<uint32_t>(randomMatSize); j++){
+ vecBlock[i][j] = rngdist(PRNG);
+ }
+ }
+ for(uint32_t i=numVec; i<(numConcurrentThreads*numVec); i+=numVec){
+ for(uint32_t j=0; j<numVec; j++){
+ vecBlock[i+j] = vecBlock[j];
+ }
+ }
+}
+
+std::mt19937_64 InitPRNG(){
+ std::random_device rd;
+ std::mt19937_64 PRNG(rd()); //seed PRNG using /dev/urandom or similar OS provided RNG
+ std::uniform_real_distribution<double> rngdist{-1.0, 1.0};
+ //make sure the internal state of the PRNG is properly mixed by generating 10M random numbers
+ //PRNGs often have unreliable distribution uniformity and other statistical properties before their internal state is sufficiently mixed
+ for (uint32_t i=0;i<10000000;i++) rngdist(PRNG);
+ return PRNG;
+}
+
+void PrintMatrices(const std::vector<std::vector<double>>& matBlock, const blasint randomMatSize, const uint32_t numConcurrentThreads, const uint32_t numMat){
+ for (uint32_t i=0;i<numConcurrentThreads*numMat;i++){
+ std::cout<<i<<std::endl;
+ for (uint32_t j = 0; j < static_cast<uint32_t>(randomMatSize); j++){
+ for (uint32_t k = 0; k < static_cast<uint32_t>(randomMatSize); k++){
+ std::cout<<matBlock[i][j*randomMatSize + k]<<" ";
+ }
+ std::cout<<std::endl;
+ }
+ std::cout<<std::endl;
+ }
+}
--- /dev/null
+#include <iostream>
+#include <vector>
+#include <random>
+#include <future>
+#include <omp.h>
+#include "../cblas.h"
+#include "cpp_thread_safety_common.h"
+
+void launch_cblas_dgemm(double* A, double* B, double* C, const blasint randomMatSize){
+ cblas_dgemm(CblasColMajor, CblasNoTrans, CblasNoTrans, randomMatSize, randomMatSize, randomMatSize, 1.0, A, randomMatSize, B, randomMatSize, 0.1, C, randomMatSize);
+}
+
+int main(int argc, char* argv[]){
+ blasint randomMatSize = 1024; //dimension of the random square matrices used
+ uint32_t numConcurrentThreads = 52; //number of concurrent calls of the functions being tested
+ uint32_t numTestRounds = 16; //number of testing rounds before success exit
+
+ if (argc > 4){
+ std::cout<<"ERROR: too many arguments for thread safety tester"<<std::endl;
+ abort();
+ }
+
+ if(argc == 4){
+ std::vector<std::string> cliArgs;
+ for (int i = 1; i < argc; i++){
+ cliArgs.push_back(argv[i]);
+ std::cout<<argv[i]<<std::endl;
+ }
+ randomMatSize = std::stoul(cliArgs[0]);
+ numConcurrentThreads = std::stoul(cliArgs[1]);
+ numTestRounds = std::stoul(cliArgs[2]);
+ }
+
+ std::uniform_real_distribution<double> rngdist{-1.0, 1.0};
+ std::vector<std::vector<double>> matBlock(numConcurrentThreads*3);
+ std::vector<std::future<void>> futureBlock(numConcurrentThreads);
+
+ std::cout<<"*----------------------------*\n";
+ std::cout<<"| DGEMM thread safety tester |\n";
+ std::cout<<"*----------------------------*\n";
+ std::cout<<"Size of random matrices(N=M=K): "<<randomMatSize<<'\n';
+ std::cout<<"Number of concurrent calls into OpenBLAS : "<<numConcurrentThreads<<'\n';
+ std::cout<<"Number of testing rounds : "<<numTestRounds<<'\n';
+ std::cout<<"This test will need "<<(static_cast<uint64_t>(randomMatSize*randomMatSize)*numConcurrentThreads*3*8)/static_cast<double>(1024*1024)<<" MiB of RAM\n"<<std::endl;
+
+ std::cout<<"Initializing random number generator..."<<std::flush;
+ std::mt19937_64 PRNG = InitPRNG();
+ std::cout<<"done\n";
+
+ std::cout<<"Preparing to test CBLAS DGEMM thread safety\n";
+ std::cout<<"Allocating matrices..."<<std::flush;
+ for(uint32_t i=0; i<(numConcurrentThreads*3); i++){
+ matBlock[i].resize(randomMatSize*randomMatSize);
+ }
+ std::cout<<"done\n";
+ //pauser();
+ std::cout<<"Filling matrices with random numbers..."<<std::flush;
+ FillMatrices(matBlock, PRNG, rngdist, randomMatSize, numConcurrentThreads, 3);
+ //PrintMatrices(matBlock, randomMatSize, numConcurrentThreads, 3);
+ std::cout<<"done\n";
+ std::cout<<"Testing CBLAS DGEMM thread safety\n";
+ omp_set_num_threads(numConcurrentThreads);
+ for(uint32_t R=0; R<numTestRounds; R++){
+ std::cout<<"DGEMM round #"<<R<<std::endl;
+ std::cout<<"Launching "<<numConcurrentThreads<<" threads simultaneously using OpenMP..."<<std::flush;
+ #pragma omp parallel for default(none) shared(futureBlock, matBlock, randomMatSize, numConcurrentThreads)
+ for(uint32_t i=0; i<numConcurrentThreads; i++){
+ futureBlock[i] = std::async(std::launch::async, launch_cblas_dgemm, &matBlock[i*3][0], &matBlock[i*3+1][0], &matBlock[i*3+2][0], randomMatSize);
+ //launch_cblas_dgemm( &matBlock[i][0], &matBlock[i+1][0], &matBlock[i+2][0]);
+ }
+ std::cout<<"done\n";
+ std::cout<<"Waiting for threads to finish..."<<std::flush;
+ for(uint32_t i=0; i<numConcurrentThreads; i++){
+ futureBlock[i].get();
+ }
+ std::cout<<"done\n";
+ //PrintMatrices(matBlock, randomMatSize, numConcurrentThreads, 3);
+ std::cout<<"Comparing results from different threads..."<<std::flush;
+ for(uint32_t i=3; i<(numConcurrentThreads*3); i+=3){ //i is the index of matrix A, for a given thread
+ for(uint32_t j = 0; j < static_cast<uint32_t>(randomMatSize*randomMatSize); j++){
+ if (std::abs(matBlock[i+2][j] - matBlock[2][j]) > 1.0E-13){ //i+2 is the index of matrix C, for a given thread
+ std::cout<<"ERROR: one of the threads returned a different result! Index : "<<i+2<<std::endl;
+ std::cout<<"CBLAS DGEMM thread safety test FAILED!"<<std::endl;
+ return -1;
+ }
+ }
+ }
+ std::cout<<"OK!\n"<<std::endl;
+ }
+ std::cout<<"CBLAS DGEMM thread safety test PASSED!\n"<<std::endl;
+ return 0;
+}
--- /dev/null
+#include <iostream>
+#include <vector>
+#include <random>
+#include <future>
+#include <omp.h>
+#include "../cblas.h"
+#include "cpp_thread_safety_common.h"
+
+void launch_cblas_dgemv(double* A, double* x, double* y, const blasint randomMatSize){
+ const blasint inc = 1;
+ cblas_dgemv(CblasColMajor, CblasNoTrans, randomMatSize, randomMatSize, 1.0, A, randomMatSize, x, inc, 0.1, y, inc);
+}
+
+int main(int argc, char* argv[]){
+ blasint randomMatSize = 1024; //dimension of the random square matrices and vectors being used
+ uint32_t numConcurrentThreads = 52; //number of concurrent calls of the functions being tested
+ uint32_t numTestRounds = 16; //number of testing rounds before success exit
+
+ if (argc > 4){
+ std::cout<<"ERROR: too many arguments for thread safety tester"<<std::endl;
+ abort();
+ }
+ if(argc == 4){
+ std::vector<std::string> cliArgs;
+ for (int i = 1; i < argc; i++){
+ cliArgs.push_back(argv[i]);
+ std::cout<<argv[i]<<std::endl;
+ }
+ randomMatSize = std::stoul(cliArgs.at(0));
+ numConcurrentThreads = std::stoul(cliArgs.at(1));
+ numTestRounds = std::stoul(cliArgs.at(2));
+ }
+
+ std::uniform_real_distribution<double> rngdist{-1.0, 1.0};
+ std::vector<std::vector<double>> matBlock(numConcurrentThreads);
+ std::vector<std::vector<double>> vecBlock(numConcurrentThreads*2);
+ std::vector<std::future<void>> futureBlock(numConcurrentThreads);
+
+ std::cout<<"*----------------------------*\n";
+ std::cout<<"| DGEMV thread safety tester |\n";
+ std::cout<<"*----------------------------*\n";
+ std::cout<<"Size of random matrices and vectors(N=M): "<<randomMatSize<<'\n';
+ std::cout<<"Number of concurrent calls into OpenBLAS : "<<numConcurrentThreads<<'\n';
+ std::cout<<"Number of testing rounds : "<<numTestRounds<<'\n';
+ std::cout<<"This test will need "<<((static_cast<uint64_t>(randomMatSize*randomMatSize)*numConcurrentThreads*8)+(static_cast<uint64_t>(randomMatSize)*numConcurrentThreads*8*2))/static_cast<double>(1024*1024)<<" MiB of RAM\n"<<std::endl;
+
+ std::cout<<"Initializing random number generator..."<<std::flush;
+ std::mt19937_64 PRNG = InitPRNG();
+ std::cout<<"done\n";
+
+ std::cout<<"Preparing to test CBLAS DGEMV thread safety\n";
+ std::cout<<"Allocating matrices..."<<std::flush;
+ for(uint32_t i=0; i<numConcurrentThreads; i++){
+ matBlock.at(i).resize(randomMatSize*randomMatSize);
+ }
+ std::cout<<"done\n";
+ std::cout<<"Allocating vectors..."<<std::flush;
+ for(uint32_t i=0; i<(numConcurrentThreads*2); i++){
+ vecBlock.at(i).resize(randomMatSize);
+ }
+ std::cout<<"done\n";
+ //pauser();
+
+ std::cout<<"Filling matrices with random numbers..."<<std::flush;
+ FillMatrices(matBlock, PRNG, rngdist, randomMatSize, numConcurrentThreads, 1);
+ //PrintMatrices(matBlock, randomMatSize, numConcurrentThreads);
+ std::cout<<"done\n";
+ std::cout<<"Filling vectors with random numbers..."<<std::flush;
+ FillVectors(vecBlock, PRNG, rngdist, randomMatSize, numConcurrentThreads, 2);
+ std::cout<<"done\n";
+
+ std::cout<<"Testing CBLAS DGEMV thread safety"<<std::endl;
+ omp_set_num_threads(numConcurrentThreads);
+ for(uint32_t R=0; R<numTestRounds; R++){
+ std::cout<<"DGEMV round #"<<R<<std::endl;
+ std::cout<<"Launching "<<numConcurrentThreads<<" threads simultaneously using OpenMP..."<<std::flush;
+ #pragma omp parallel for default(none) shared(futureBlock, matBlock, vecBlock, randomMatSize, numConcurrentThreads)
+ for(uint32_t i=0; i<numConcurrentThreads; i++){
+ futureBlock[i] = std::async(std::launch::async, launch_cblas_dgemv, &matBlock[i][0], &vecBlock[i*2][0], &vecBlock[i*2+1][0], randomMatSize);
+ }
+ std::cout<<"done\n";
+ std::cout<<"Waiting for threads to finish..."<<std::flush;
+ for(uint32_t i=0; i<numConcurrentThreads; i++){
+ futureBlock[i].get();
+ }
+ std::cout<<"done\n";
+ std::cout<<"Comparing results from different threads..."<<std::flush;
+ for(uint32_t i=2; i<(numConcurrentThreads*2); i+=2){ //i is the index of vector x, for a given thread
+ for(uint32_t j = 0; j < static_cast<uint32_t>(randomMatSize); j++){
+ 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
+ std::cout<<"ERROR: one of the threads returned a different result! Index : "<<i+1<<std::endl;
+ std::cout<<"CBLAS DGEMV thread safety test FAILED!"<<std::endl;
+ return -1;
+ }
+ }
+ }
+ std::cout<<"OK!\n"<<std::endl;
+ }
+ std::cout<<"CBLAS DGEMV thread safety test PASSED!\n"<<std::endl;
+ return 0;
+}