#include "../cblas.h"
#include "cpp_thread_safety_common.h"
-void launch_cblas_dgemv(double* A, double* x, double* y, const blasint randomMatSize){
+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[]){
+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 (maxHwThreads < 52)
numConcurrentThreads = maxHwThreads;
- if (argc > 4){
+ if (argc > 4)
+ {
std::cout<<"ERROR: too many arguments for thread safety tester"<<std::endl;
abort();
- }
- if(argc == 4){
+ }
+ if(argc == 4)
+ {
std::vector<std::string> cliArgs;
- for (int i = 1; i < argc; i++){
+ 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::cout<<"Preparing to test CBLAS DGEMV thread safety\n";
std::cout<<"Allocating matrices..."<<std::flush;
- for(uint32_t i=0; i<numConcurrentThreads; i++){
+ 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++){
+ 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;
std::cout<<"Testing CBLAS DGEMV thread safety"<<std::endl;
omp_set_num_threads(numConcurrentThreads);
- for(uint32_t R=0; R<numTestRounds; R++){
+ 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++){
+ 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++){
+ 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++){
+ 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<<"OK!\n"<<std::endl;
- }
std::cout<<"CBLAS DGEMV thread safety test PASSED!\n"<<std::endl;
return 0;
-}
+ }