Shows how you could use Amesos2 with Tpetra's MatrixMarket functionality.
#include <Teuchos_ScalarTraits.hpp>
#include <Teuchos_RCP.hpp>
#include <Teuchos_oblackholestream.hpp>
#include <Teuchos_VerboseObject.hpp>
#include <Teuchos_CommandLineProcessor.hpp>
#include <Tpetra_Core.hpp>
#include <Tpetra_Map.hpp>
#include <Tpetra_MultiVector.hpp>
#include <Tpetra_CrsMatrix.hpp>
#include <MatrixMarket_Tpetra.hpp>
#include <Tpetra_Import.hpp>
#include "Amesos2.hpp"
#include "Amesos2_Version.hpp"
int main(int argc, char *argv[]) {
Tpetra::ScopeGuard tpetraScope(&argc,&argv);
typedef double Scalar;
typedef Tpetra::Map<>::local_ordinal_type LO;
typedef Tpetra::Map<>::global_ordinal_type GO;
typedef Tpetra::CrsMatrix<Scalar,LO,GO> MAT;
typedef Tpetra::MultiVector<Scalar,LO,GO> MV;
using Tpetra::global_size_t;
using Tpetra::Map;
using Tpetra::Import;
using Teuchos::RCP;
using Teuchos::rcp;
Teuchos::RCP<const Teuchos::Comm<int> > comm = Tpetra::getDefaultComm();
int myRank = comm->getRank();
Teuchos::oblackholestream blackhole;
bool printMatrix = false;
bool printSolution = false;
bool printTiming = false;
bool allprint = false;
bool verbose = (myRank==0);
std::string filename("arc130.mtx");
Teuchos::CommandLineProcessor cmdp(false,true);
cmdp.setOption("verbose","quiet",&verbose,"Print messages and results.");
cmdp.setOption("filename",&filename,"Filename for Matrix-Market test matrix.");
cmdp.setOption("print-matrix","no-print-matrix",&printMatrix,"Print the full matrix after reading it.");
cmdp.setOption("print-solution","no-print-solution",&printSolution,"Print solution vector after solve.");
cmdp.setOption("print-timing","no-print-timing",&printTiming,"Print solver timing statistics");
cmdp.setOption("all-print","root-print",&allprint,"All processors print to out");
if (cmdp.parse(argc,argv) != Teuchos::CommandLineProcessor::PARSE_SUCCESSFUL) {
return -1;
}
std::ostream& out = ( (allprint || (myRank == 0)) ? std::cout : blackhole );
RCP<Teuchos::FancyOStream> fos = Teuchos::fancyOStream(Teuchos::rcpFromRef(out));
out << myRank << " : " << Amesos2::version() << std::endl << std::endl;
const size_t numVectors = 1;
RCP<MAT> A = Tpetra::MatrixMarket::Reader<MAT>::readSparseFile(filename, comm);
if( printMatrix ){
A->describe(*fos, Teuchos::VERB_EXTREME);
}
else if( verbose ){
std::cout << std::endl << A->description() << std::endl << std::endl;
}
RCP<const Map<LO,GO> > dmnmap = A->getDomainMap();
RCP<const Map<LO,GO> > rngmap = A->getRangeMap();
GO nrows = dmnmap->getGlobalNumElements();
RCP<Map<LO,GO> > root_map
= rcp( new Map<LO,GO>(nrows,myRank == 0 ? nrows : 0,0,comm) );
RCP<MV> Xhat = rcp( new MV(root_map,numVectors) );
RCP<Import<LO,GO> > importer = rcp( new Import<LO,GO>(dmnmap,root_map) );
RCP<MV> X = rcp(new MV(dmnmap,numVectors));
X->randomize();
RCP<MV> B = rcp(new MV(rngmap,numVectors));
B->putScalar(10);
RCP<Amesos2::Solver<MAT,MV> > solver;
if( !Amesos2::query("Superlu") ){
*fos << "SuperLU solver not enabled. Exiting..." << std::endl;
return EXIT_SUCCESS;
}
solver = Amesos2::create<MAT,MV>("Superlu", A, X, B);
solver->symbolicFactorization().numericFactorization().solve();
if( printSolution ){
if( allprint ){
if( myRank == 0 ) *fos << "Solution :" << std::endl;
Xhat->describe(*fos,Teuchos::VERB_EXTREME);
*fos << std::endl;
} else {
Xhat->doImport(*X,*importer,Tpetra::REPLACE);
if( myRank == 0 ){
*fos << "Solution :" << std::endl;
Xhat->describe(*fos,Teuchos::VERB_EXTREME);
*fos << std::endl;
}
}
}
if( printTiming ){
solver->printTiming(*fos);
}
Teuchos::TimeMonitor::summarize();
return 0;
}