99 lines
		
	
	
		
			4.1 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			99 lines
		
	
	
		
			4.1 KiB
		
	
	
	
		
			C++
		
	
	
	
| #include <iostream>
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| #include <vector>
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| #include <random>
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| #include <future>
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| #include <omp.h>
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| #include "../cblas.h"
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| #include "cpp_thread_safety_common.h"
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| 
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| void launch_cblas_dgemm(double* A, double* B, double* C, const blasint randomMatSize){
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| 	cblas_dgemm(CblasColMajor, CblasNoTrans, CblasNoTrans, randomMatSize, randomMatSize, randomMatSize, 1.0, A, randomMatSize, B, randomMatSize, 0.1, C, randomMatSize);
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| }
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| 
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| int main(int argc, char* argv[]){
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| 	blasint randomMatSize = 1024; //dimension of the random square matrices used
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| 	uint32_t numConcurrentThreads = 96; //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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| 	uint32_t maxHwThreads = omp_get_max_threads();
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| 	
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| 	if (maxHwThreads < 96)
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| 		numConcurrentThreads = maxHwThreads;
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| 
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| 	if (argc > 4){
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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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| 	
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| 	if(argc == 4){
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| 		std::vector<std::string> cliArgs;
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| 		for (int i = 1; i < argc; i++){
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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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| 		randomMatSize = std::stoul(cliArgs[0]);
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| 		numConcurrentThreads = std::stoul(cliArgs[1]);
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| 		numTestRounds = std::stoul(cliArgs[2]);
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| 	}
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| 	
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| 	std::uniform_real_distribution<double> rngdist{-1.0, 1.0};
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| 	std::vector<std::vector<double>> matBlock(numConcurrentThreads*3);
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| 	std::vector<std::future<void>> futureBlock(numConcurrentThreads);
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| 	
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| 	std::cout<<"*----------------------------*\n";
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| 	std::cout<<"| DGEMM thread safety tester |\n";
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| 	std::cout<<"*----------------------------*\n";
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| 	std::cout<<"Size of random matrices(N=M=K): "<<randomMatSize<<'\n';
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| 	std::cout<<"Number of concurrent calls into OpenBLAS : "<<numConcurrentThreads<<'\n';
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| 	std::cout<<"Number of testing rounds : "<<numTestRounds<<'\n';
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| 	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;
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| 
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| 	FailIfThreadsAreZero(numConcurrentThreads);
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| 	
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| 	std::cout<<"Initializing random number generator..."<<std::flush;
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| 	std::mt19937_64 PRNG = InitPRNG();
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| 	std::cout<<"done\n";
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| 	
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| 	std::cout<<"Preparing to test CBLAS DGEMM thread safety\n";
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| 	std::cout<<"Allocating matrices..."<<std::flush;
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| 	for(uint32_t i=0; i<(numConcurrentThreads*3); i++){
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| 		matBlock[i].resize(randomMatSize*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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| 	FillMatrices(matBlock, PRNG, rngdist, randomMatSize, numConcurrentThreads, 3);
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| 	//PrintMatrices(matBlock, randomMatSize, numConcurrentThreads, 3);
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| 	std::cout<<"done\n";
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| 	std::cout<<"Testing CBLAS DGEMM thread safety\n";
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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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| 		std::cout<<"DGEMM 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, randomMatSize, numConcurrentThreads)
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| 		for(uint32_t i=0; i<numConcurrentThreads; i++){
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| 			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);
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| 			//launch_cblas_dgemm( &matBlock[i][0], &matBlock[i+1][0], &matBlock[i+2][0]);
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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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| 			futureBlock[i].get();
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| 		}
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| 		std::cout<<"done\n";
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| 		//PrintMatrices(matBlock, randomMatSize, numConcurrentThreads, 3);
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| 		std::cout<<"Comparing results from different threads..."<<std::flush;
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| 		for(uint32_t i=3; i<(numConcurrentThreads*3); i+=3){ //i is the index of matrix A, for a given thread
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| 			for(uint32_t j = 0; j < static_cast<uint32_t>(randomMatSize*randomMatSize); j++){
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| 				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
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| 					std::cout<<"ERROR: one of the threads returned a different result! Index : "<<i+2<<std::endl;
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| 					std::cout<<"CBLAS DGEMM thread safety test FAILED!"<<std::endl;
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| 					return -1;
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| 				}
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| 			}
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| 		}
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| 		std::cout<<"OK!\n"<<std::endl;
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| 	}
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| 	std::cout<<"CBLAS DGEMM thread safety test PASSED!\n"<<std::endl;
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| 	return 0;
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| }
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