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/* Ergo, version 3.5, a program for linear scaling electronic structure
* calculations.
* Copyright (C) 2016 Elias Rudberg, Emanuel H. Rubensson, Pawel Salek,
* and Anastasia Kruchinina.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
* Primary academic reference:
* KohnâSham Density Functional Theory Electronic Structure Calculations
* with Linearly Scaling Computational Time and Memory Usage,
* Elias Rudberg, Emanuel H. Rubensson, and Pawel Salek,
* J. Chem. Theory Comput. 7, 340 (2011),
* <http://dx.doi.org/10.1021/ct100611z>
*
* For further information about Ergo, see <http://www.ergoscf.org>.
*/
/** @file bench.cc Benchmark of the matrix library
*
* Copyright(c) Emanuel Rubensson 2007
*
* @author Emanuel Rubensson @a responsible @a author
* @date September 2007
*
*/
#include <fstream> /* For ifstream */
#include <iomanip> /* For setprecision in fstream */
#include <iostream>
#include <cmath>
#include <stdio.h> /* For FILE */
#include "Matrix.h"
#include "Vector.h"
#include "MatrixSymmetric.h"
#include "MatrixTriangular.h"
#include "MatrixGeneral.h"
#include "VectorGeneral.h"
#include "mat_gblas.h"
#include "Lanczos.h"
using namespace mat;
template<typename real>
int mainFun(int argc,char* argv[]) {
typedef Matrix<real, real> Mat_1;
typedef Matrix<real, Mat_1> Mat_2;
typedef Matrix<real, Mat_2> Mat_3;
typedef Mat_3 matri;
typedef MatrixSymmetric<real, matri> symmMatrix;
typedef MatrixGeneral<real, matri> normalMatrix;
try {
int size = 100;
switch (argc)
{
case 1:
std::cout<<"No input, using matrix size "<<size<<"."<<std::endl;
break;
case 2:
size = atoi(argv[1]);
break;
default:
std::cerr<<"Wrong number of input arguments"<<std::endl;
std::exit(1);
}
#ifdef _OPENMP
int defThreads;
const char *env = getenv("OMP_NUM_THREADS");
if ( !(env && (defThreads=atoi(env)) > 0) ) {
defThreads = 1;
}
mat::Params::setNProcs(defThreads);
mat::Params::setMatrixParallelLevel(2);
std::cout<<"OpenMP is used, number of threads set to "
<<mat::Params::getNProcs()<<". Matrix parallel level: "
<<mat::Params::getMatrixParallelLevel()<<"."<<std::endl;
#endif
/********** Initialization of SizesAndBlocks */
int nlevels = 3;
std::vector<int> blockSizes(nlevels);
blockSizes[nlevels - 1] = 1;
for (int ind = nlevels - 2; ind >= 0; ind--)
blockSizes[ind] = blockSizes[ind + 1] * 10;
SizesAndBlocks rows(blockSizes, size);
SizesAndBlocks cols(blockSizes, size);
real alpha = 0.77;
{
normalMatrix A, B, C;
A.resetSizesAndBlocks(rows,cols);
B.resetSizesAndBlocks(rows,cols);
A.random();
B.random();
C = alpha * A * B;
}
{
symmMatrix syA, syB;
syA.resetSizesAndBlocks(rows,cols);
syB.resetSizesAndBlocks(rows,cols);
syA.random();
syB = alpha * syA * syA;
}
}
catch (Failure e) {
std::cout << "Failure caught: "<<e.what() << std::endl;
std::exit(1);
}
catch (std::exception e) {
std::cout << "Exception caught: "<<e.what() << std::endl;
std::exit(1);
}
return 0;
}
int main(int argc,char* argv[]){
time_t tm;
std::cout<<"Benchmark of matrix library with single precision:" <<std::endl;
time(&tm);
if (!mainFun<float>(argc,argv))
std::cout<<"Matrix library benchmark with single precision completed "
"successfully.\n"
<<"Wall time: "
<<((unsigned long)time(NULL))-tm<<" seconds.\n\n";
std::cout<<"Benchmark of matrix library with double precision:" <<std::endl;
time(&tm);
if (!mainFun<double>(argc,argv)) {
std::cout<<"Matrix library benchmark with double precision completed "
"successfully.\n"
<<"Wall time: "
<<((unsigned long)time(NULL))-tm<<" seconds.\n\n";
}
std::cout<<"Benchmark of matrix library with long double precision:" <<std::endl;
time(&tm);
if (!mainFun<long double>(argc,argv))
std::cout<<"Matrix library benchmark with long double precision completed "
"successfully.\n"
<<"Wall time: "
<<((unsigned long)time(NULL))-tm<<" seconds.\n\n";
std::exit(0);
};
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