Files
arpack-ng/EXAMPLES/MATRIX_MARKET/arpackmm.cpp
T

984 lines
32 KiB
C++

#include <chrono>
#include "arpackSolver.hpp"
#include "debug_c.hpp"
#include "stat_c.hpp"
using namespace std;
class options {
public:
options() {
fileA = "A.mtx";
fileB = "N.A."; // Not available.
dense = false;
denseRR = true;
nbEV = 1;
nbCV = 2 * nbEV + 1;
stdPb = true; // Standard or generalized (= not standard).
symPb = true;
cpxPb = false;
simplePrec = false; // Double precision.
mag = string("LM"); // Large magnitude.
shiftReal = false;
shiftImag = false;
sigmaReal = 0.;
sigmaImag = 0.; // Eigen value translation: look for lambda+sigma instead
// of lambda.
invert =
false; // Eigen value invertion: look for 1./lambda instead of lambda.
tol = 1.e-06;
maxIt = 100;
schur = false; // Compute Ritz vectors.
slv = "BiCG";
slvItrTol = 1.e-6;
slvItrMaxIt = 100;
slvItrPC = "Diag";
slvDrtPivot = 1.e-6;
slvDrtOffset = 0.;
slvDrtScale = 1.;
check = true;
verbose = 0;
debug = 0;
restart = false;
};
int readCmdLine(int argc, char** argv) {
// Check for command line independent parameters.
for (int a = 1; argv && a < argc; a++) {
string clo = argv[a]; // Command line option.
if (clo == "--help") return usage(0);
if (clo == "--A") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
fileA = argv[a];
}
if (clo == "--dense") {
dense = true;
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
string rr(argv[a]);
if (rr != "true" && rr != "false") {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
denseRR = (rr == "true") ? true : false;
}
if (clo == "--nbEV") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream nEV(argv[a]);
nEV >> nbEV;
if (!nEV) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
nbCV = 2 * nbEV + 1;
}
if (clo == "--genPb") {
stdPb = false;
fileB = "B.mtx";
}
if (clo == "--nonSymPb") symPb = false;
if (clo == "--cpxPb") {
symPb = false;
cpxPb = true;
}
if (clo == "--simplePrec") simplePrec = true;
if (clo == "--mag") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
mag = argv[a]; // small mag (likely poor perf) <=> large mag + invert
// (likely good perf).
bool ok = (mag == "LM" || mag == "SM" || mag == "LR" || mag == "SR" ||
mag == "LA" || mag == "SA" || mag == "LI" || mag == "SI")
? true
: false;
if (!ok) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--shiftReal") {
shiftReal = true;
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream s(argv[a]);
s >> sigmaReal;
if (!s) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--shiftImag") {
shiftImag = true;
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream s(argv[a]);
s >> sigmaImag;
if (!s) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--invert") invert = true;
if (clo == "--tol") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream t(argv[a]);
t >> tol;
if (!t) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--maxIt") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream mi(argv[a]);
mi >> maxIt;
if (!mi) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--slv") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
slv = argv[a];
}
if (clo == "--slvItrTol") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream t(argv[a]);
double tol = 0.;
t >> slvItrTol;
if (!t) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--slvItrMaxIt") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream mi(argv[a]);
int maxIt = 0;
mi >> slvItrMaxIt;
if (!mi) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--slvItrPC") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream pc(argv[a]);
pc >> slvItrPC;
if (!pc) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--slvDrtPivot") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream pv(argv[a]);
pv >> slvDrtPivot;
if (!pv) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--slvDrtOffset") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream of(argv[a]);
of >> slvDrtOffset;
if (!of) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--slvDrtScale") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream sc(argv[a]);
sc >> slvDrtScale;
if (!sc) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--noCheck") check = false;
if (clo == "--verbose") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream vb(argv[a]);
vb >> verbose;
if (!vb) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--debug") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream dbg(argv[a]);
dbg >> debug;
if (!dbg) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
if (debug > 3) debug = 3;
debug_c(6, -6, debug, debug, debug, debug, debug, debug, debug, debug,
debug, debug, debug, debug, debug, debug, debug, debug, debug,
debug, debug, debug, debug, debug);
}
if (clo == "--restart") restart = true;
}
// Check for command line dependent parameters.
for (int a = 1; argv && a < argc; a++) {
string clo = argv[a]; // Command line option.
if (clo == "--nbCV") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
stringstream nCV(argv[a]);
nCV >> nbCV;
if (!nCV) {
cerr << "Error: bad " << clo << " - bad argument" << endl;
return usage();
}
}
if (clo == "--B") {
a++;
if (a >= argc) {
cerr << "Error: bad " << clo << " - need argument" << endl;
return usage();
}
fileB = argv[a];
}
}
// Sanity checks.
if (!stdPb && fileB.empty()) {
cerr << "Error: generalized problem without B matrix" << endl;
return usage();
}
return 0;
};
int usage(int rc = 1) {
cout << "Usage: running arpack with matrix market files to check for eigen "
"values/vectors."
<< endl;
cout << endl;
cout << " --A F: file name of matrix A such that A X = lambda "
"X. (standard)"
<< endl;
cout << " the file F must be compliant with the matrix "
"market format."
<< endl;
cout << " default: A.mtx" << endl;
cout << " --B F: file name of matrix B such that A X = lambda "
"B X. (generalized)"
<< endl;
cout << " the file F must be compliant with the matrix "
"market format."
<< endl;
cout << " default: N.A. for standard problem, or, B.mtx "
"for generalized problem"
<< endl;
cout << " --dense RR: consider A and B as dense matrices." << endl;
cout << " if RR = true, use more-stable-but-slow "
"versions of LU / QR (rank revealing)."
<< endl;
cout << " if RR = false, use less-stable-but-fast "
"versions of LU / QR (depends on condition number)."
<< endl;
cout << " Notes:" << endl;
cout << " - only direct solvers are available when "
"using dense matrices."
<< endl;
cout
<< " - RR does not impact the use of LLT and LDLT."
<< endl;
cout << " - thresholds only make sense for "
"rank-revealing decompositions."
<< endl;
cout << " default: consider A and B as sparse matrices"
<< endl;
cout << " --nbEV: number of eigen values/vectors to compute."
<< endl;
cout << " default: 1" << endl;
cout << " --nbCV: number of columns of the matrix V." << endl;
cout << " default: 2*nbEV+1" << endl;
cout << " --genPb: generalized problem." << endl;
cout << " default: standard problem" << endl;
cout << " --nonSymPb: non symmetric problem (<=> use dn[ae]upd)."
<< endl;
cout << " default: symmetric problem (<=> use ds[ae]upd)"
<< endl;
cout << " --cpxPb: complex (non symmetric) problem (<=> use "
"zn[ae]upd)."
<< endl;
cout << " default: false (<=> use d*[ae]upd)" << endl;
cout << " --simplePrec: use simple precision (less accurate, but, "
"half memory footprint)."
<< endl;
cout << " default: false (<=> use double precision: use "
"[dz]*upd)"
<< endl;
cout << " --mag M: set magnitude of eigen values to look for "
"(LM, SM, LR, SR, LA, SA, LI, SI)."
<< endl;
cout << " default: large magnitude (LM)" << endl;
cout << " --shiftReal S: real shift where sigma = S (look for lambda+S "
"instead of lambda)."
<< endl;
cout << " default: no shift, S = 0." << endl;
cout << " --shiftImag S: imaginary shift where sigma = S (look for "
"lambda+S instead of lambda)."
<< endl;
cout << " default: no shift, S = 0." << endl;
cout << " --invert: invert mode (look for 1./lambda instead of "
"lambda)."
<< endl;
cout << " default: no invert" << endl;
cout << " --tol T: tolerance T." << endl;
cout << " default: 1.e-06" << endl;
cout << " --maxIt M: maximum iterations M." << endl;
cout << " default: 100" << endl;
cout << " --schur: compute Schur vectors." << endl;
cout << " the Schur decomposition is such that A = "
"Q^H x T x Q where:"
<< endl;
cout << " - the H superscript refers to the "
"Hermitian transpose: Q^H = (Q^t)^*."
<< endl;
cout
<< " - Q is unitary: Q is such that Q^H x Q = I."
<< endl;
cout << " - T is an upper-triangular matrix whose "
"diagonal elements are the eigenvalues of A."
<< endl;
cout << " every square matrix has a Schur "
"decomposition: columns of Q are the Schur vectors."
<< endl;
cout << " for a general matrix A, there is no "
"relation between Schur vectors of A and eigenvectors of A."
<< endl;
cout << " if q_j is the j-th Schur vector, then A x "
"q_j is a linear combination of q_1, ..., q_j."
<< endl;
cout << " Schur vectors q_1, q_2, ..., q_j span an "
"invariant subspace of A."
<< endl;
cout << " the Schur vectors and eigenvectors of A are "
"the same if A is a normal matrix."
<< endl;
cout << " default: compute Ritz vectors (approximations "
"of eigen vectors)"
<< endl;
cout << " --slv S: solver (needed if arpack mode > 1)." << endl;
cout << " BiCG: iterative method, any matrices"
<< endl;
cout << " CG: iterative method, sym matrices only"
<< endl;
cout << " LU: direct method, any matrices (pivoting "
"needed)"
<< endl;
cout << " QR: direct method, any matrices (pivoting "
"needed)"
<< endl;
cout << " LLT: direct method, SPD matrices only "
"(pivoting not needed)"
<< endl;
cout << " LDLT: direct method, symmetric positive "
"semi-definite matrices only (pivoting not needed)"
<< endl;
cout << " default: BiCG" << endl;
cout << " --slvItrTol T: solver tolerance T (for iterative solvers)."
<< endl;
cout << " default: 1.e-6" << endl;
cout << " --slvItrMaxIt M: solver maximum iterations M (for iterative "
"solvers)."
<< endl;
cout << " default: 100" << endl;
cout << " --slvItrPC PC: solver preconditioner (for iterative solvers)."
<< endl;
cout << " PC preconditioner:" << endl;
cout << " Diag: eigen diagonal preconditioner "
"(Jacobi)."
<< endl;
cout << " ILU#D#F: eigen ILU preconditioner."
<< endl;
cout << " D: drop tolerance." << endl;
cout << " F: fill factor." << endl;
cout << " default: diagonal preconditioner (Jacobi)"
<< endl;
cout << " --slvDrtPivot: P solver pivot P (for direct solvers)." << endl;
cout << " default: 1.e-06" << endl;
cout << " --slvDrtOffset: O solver offset O (for direct solvers)." << endl;
cout << " default: 0." << endl;
cout << " --slvDrtScale: S solver scale S (for direct solvers)." << endl;
cout << " default: 1." << endl;
cout << " --noCheck: check arpack eigen values/vectors." << endl;
cout << " check will fail if Schur vectors are computed "
"and A is NOT a normal matrix."
<< endl;
cout << " default: check" << endl;
cout << " --verbose V: verbosity level (up to 3)." << endl;
cout << " default: 0" << endl;
cout << " --debug D: debug level (up to 3)." << endl;
cout << " default: 0" << endl;
cout << " --restart: restart from previous run (which had produced "
"arpackSolver.*.out)."
<< endl;
cout << " restart from eigen basis approximation "
"computed during a previous run."
<< endl;
cout << " default: false" << endl;
if (rc == 0) exit(0);
return rc;
};
friend ostream& operator<<(ostream& ostr, options const& opt);
string fileA;
string fileB;
bool dense;
bool denseRR;
a_int nbEV;
a_int nbCV;
bool stdPb; // Standard or generalized (= not standard).
bool symPb;
bool cpxPb;
bool simplePrec;
string mag; // Magnitude <=> "which" arpack parameter.
bool shiftReal, shiftImag;
double sigmaReal, sigmaImag; // Eigen value translation: look for
// lambda+sigma instead of lambda.
bool invert; // Eigen value invertion: look for 1./lambda instead of lambda.
double tol;
int maxIt;
bool schur;
string slv;
double slvItrTol;
int slvItrMaxIt;
string slvItrPC;
double slvDrtPivot;
double slvDrtOffset;
double slvDrtScale;
bool check;
int verbose;
a_int debug;
bool restart;
};
ostream& operator<<(ostream& ostr, options const& opt) {
ostr << "OPT: A " << opt.fileA << ", B " << opt.fileB;
if (opt.dense && opt.denseRR)
ostr << ", dense yes (RR true)";
else if (opt.dense && !opt.denseRR)
ostr << ", dense yes (RR false)";
else
ostr << ", dense no";
ostr << ", nbEV " << opt.nbEV << ", nbCV " << opt.nbCV << ", stdPb "
<< (opt.stdPb ? "yes" : "no");
ostr << ", symPb " << (opt.symPb ? "yes" : "no") << ", cpxPb "
<< (opt.cpxPb ? "yes" : "no");
ostr << ", simplePrec " << (opt.simplePrec ? "yes" : "no") << ", mag "
<< opt.mag << endl;
ostr << "OPT: shiftReal " << (opt.shiftReal ? "yes" : "no") << ", sigmaReal "
<< opt.sigmaReal;
ostr << ", shiftImag " << (opt.shiftImag ? "yes" : "no") << ", sigmaImag "
<< opt.sigmaImag;
ostr << ", invert " << (opt.invert ? "yes" : "no") << ", tol " << opt.tol
<< ", maxIt " << opt.maxIt;
ostr << ", " << (opt.schur ? "Schur" : "Ritz") << " vectors" << endl;
ostr << "OPT: slv " << opt.slv << ", slvItrPC " << opt.slvItrPC
<< ", slvItrTol " << opt.slvItrTol;
ostr << ", slvItrMaxIt " << opt.slvItrMaxIt << ", slvDrtPivot "
<< opt.slvDrtPivot;
ostr << ", slvDrtOffset " << opt.slvDrtOffset << ", slvDrtScale "
<< opt.slvDrtScale << endl;
ostr << "OPT: check " << (opt.check ? "yes" : "no") << ", verbose "
<< opt.verbose << ", debug " << opt.debug;
ostr << ", restart " << (opt.restart ? "yes" : "no") << endl;
return ostr;
}
class output {
public:
output() {
nbVal = 0;
mode = 0;
nbIt = 0;
imsTime = 0.;
rciTime = 0.;
};
int nbVal; // Eigen values.
int mode; // Arpack mode.
int nbIt; // Arpack number of iterations.
double imsTime; // Init mode solver time.
double rciTime; // Reverse communication interface time.
};
template <typename RC, typename FD, typename EM, typename SLV>
int itrSolve(options& opt, output& out, double const& slvItrILUDropTol,
double const& slvItrILUFillFactor) {
// Init solver.
arpackItrSolver<RC, FD, EM, SLV> as;
as.symPb = opt.symPb;
as.nbEV = opt.nbEV;
as.nbCV = opt.nbCV;
as.tol = opt.tol;
as.sigmaReal = opt.sigmaReal;
as.sigmaImag = opt.sigmaImag;
as.dumpToFile = true;
as.restartFromFile = opt.restart;
as.mag = opt.mag;
as.maxIt = opt.maxIt;
as.schur = opt.schur;
as.verbose = opt.verbose;
as.slvTol = opt.slvItrTol;
as.slvMaxIt = opt.slvItrMaxIt;
as.slvILUDropTol = slvItrILUDropTol;
as.slvILUFillFactor = slvItrILUFillFactor;
// Read A and B matrices.
EM A;
auto start = chrono::high_resolution_clock::now();
int rc = as.createMatrix(opt.fileA, A);
if (rc != 0) {
cerr << "Error: read A KO" << endl;
return rc;
}
auto stop = chrono::high_resolution_clock::now();
double readATime =
chrono::duration_cast<chrono::milliseconds>(stop - start).count() / 1000.;
cout << endl;
cout << "INP: create A " << readATime << " s" << endl;
if (opt.nbCV > A.cols()) opt.nbCV = A.cols(); /* Cut-off */
EM B;
if (!opt.stdPb) {
start = chrono::high_resolution_clock::now();
rc = as.createMatrix(opt.fileB, B);
if (rc != 0) {
cerr << "Error: read B KO" << endl;
return rc;
}
stop = chrono::high_resolution_clock::now();
double readBTime =
chrono::duration_cast<chrono::milliseconds>(stop - start).count() /
1000.;
cout << endl;
cout << "INP: create B " << readBTime << " s" << endl;
if (A.rows() != B.rows()) {
cerr << "Error: A.rows() != B.rows()" << endl;
return rc;
}
if (A.cols() != B.cols()) {
cerr << "Error: A.cols() != B.cols()" << endl;
return rc;
}
}
// Solve.
rc = as.solve(A, opt.stdPb ? nullptr : &B);
if (rc != 0) {
cerr << "Error: solve KO" << endl;
return rc;
}
if (opt.check) {
rc = as.checkEigVec(A, opt.stdPb ? nullptr : &B);
if (rc != 0) {
cerr << "Error: check KO" << endl;
return rc;
}
}
// Retrieve outputs.
out.nbVal = as.val.size();
out.mode = as.mode;
out.nbIt = as.nbIt;
out.imsTime = as.imsTime;
out.rciTime = as.rciTime;
return 0;
}
template <typename RC, typename FD, typename EM, typename SLV>
int drtSolve(options& opt, output& out) {
// Init solver.
arpackDrtSolver<RC, FD, EM, SLV> as;
as.symPb = opt.symPb;
as.nbEV = opt.nbEV;
as.nbCV = opt.nbCV;
as.tol = opt.tol;
as.sigmaReal = opt.sigmaReal;
as.sigmaImag = opt.sigmaImag;
as.dumpToFile = true;
as.restartFromFile = opt.restart;
as.mag = opt.mag;
as.maxIt = opt.maxIt;
as.schur = opt.schur;
as.verbose = opt.verbose;
as.slvPvtThd = opt.slvDrtPivot;
as.slvOffset = opt.slvDrtOffset;
as.slvScale = opt.slvDrtScale;
// Read A and B matrices.
EM A;
auto start = chrono::high_resolution_clock::now();
int rc = as.createMatrix(opt.fileA, A);
if (rc != 0) {
cerr << "Error: read A KO" << endl;
return rc;
}
auto stop = chrono::high_resolution_clock::now();
double readATime =
chrono::duration_cast<chrono::milliseconds>(stop - start).count() / 1000.;
cout << endl;
cout << "INP: create A " << readATime << " s" << endl;
if (opt.nbCV > A.cols()) opt.nbCV = A.cols(); /* Cut-off */
EM B;
if (!opt.stdPb) {
start = chrono::high_resolution_clock::now();
rc = as.createMatrix(opt.fileB, B);
if (rc != 0) {
cerr << "Error: read B KO" << endl;
return rc;
}
stop = chrono::high_resolution_clock::now();
double readBTime =
chrono::duration_cast<chrono::milliseconds>(stop - start).count() /
1000.;
cout << endl;
cout << "INP: create B " << readBTime << " s" << endl;
if (A.rows() != B.rows()) {
cerr << "Error: A.rows() != B.rows()" << endl;
return rc;
}
if (A.cols() != B.cols()) {
cerr << "Error: A.cols() != B.cols()" << endl;
return rc;
}
}
// Solve.
rc = as.solve(A, opt.stdPb ? nullptr : &B);
if (rc != 0) {
cerr << "Error: solve KO" << endl;
return rc;
}
if (opt.check) {
rc = as.checkEigVec(A, opt.stdPb ? nullptr : &B);
if (rc != 0) {
cerr << "Error: check KO" << endl;
return rc;
}
}
// Retrieve outputs.
out.nbVal = as.val.size();
out.mode = as.mode;
out.nbIt = as.nbIt;
out.imsTime = as.imsTime;
out.rciTime = as.rciTime;
return 0;
}
template <typename RC, typename FD, typename EM, typename SLV1, typename SLV2,
typename SLV3, typename SLV4>
int drtSolve(options& opt, output& out) {
int rc = 1;
if (opt.slv == "LU") rc = drtSolve<RC, FD, EM, SLV1>(opt, out);
if (opt.slv == "QR") rc = drtSolve<RC, FD, EM, SLV2>(opt, out);
if (opt.slv == "LLT") rc = drtSolve<RC, FD, EM, SLV3>(opt, out);
if (opt.slv == "LDLT") rc = drtSolve<RC, FD, EM, SLV4>(opt, out);
return rc;
}
template <typename RC, typename FD, typename EM, typename SLV1, typename SLV2,
typename SLV3, typename SLV4>
int itrSolve(options& opt, output& out) {
int rc = 1;
stringstream clo(opt.slvItrPC);
string slvItrPC;
getline(clo, slvItrPC, '#');
double slvItrILUDropTol = 1.;
if (slvItrPC == "ILU") {
string dropTol;
getline(clo, dropTol, '#');
stringstream dt(dropTol);
dt >> slvItrILUDropTol;
}
int slvItrILUFillFactor = 2;
if (slvItrPC == "ILU") {
string fillFactor;
getline(clo, fillFactor);
stringstream ff(fillFactor);
ff >> slvItrILUFillFactor;
}
if (opt.slv == "BiCG") {
if (slvItrPC == "Diag")
rc = itrSolve<RC, FD, EM, SLV1>(opt, out, slvItrILUDropTol,
slvItrILUFillFactor);
if (slvItrPC == "ILU")
rc = itrSolve<RC, FD, EM, SLV2>(opt, out, slvItrILUDropTol,
slvItrILUFillFactor);
}
if (opt.slv == "CG") {
if (slvItrPC == "Diag")
rc = itrSolve<RC, FD, EM, SLV3>(opt, out, slvItrILUDropTol,
slvItrILUFillFactor);
if (slvItrPC == "ILU")
rc = itrSolve<RC, FD, EM, SLV4>(opt, out, slvItrILUDropTol,
slvItrILUFillFactor);
}
return rc;
}
int main(int argc, char** argv) {
// Check for options.
options opt;
int rc = opt.readCmdLine(argc, argv);
if (rc != 0) {
cerr << "Error: read cmd line KO" << endl;
return rc;
}
cout << opt; // Print options.
// Solve with arpack.
sstats_c(); // Reset timers.
sstatn_c(); // Reset timers.
cstatn_c(); // Reset timers.
bool itrSlv = true; // Use iterative solvers.
if (opt.slv.find("LU") != string::npos ||
opt.slv.find("QR") != string::npos ||
opt.slv.find("LLT") != string::npos ||
opt.slv.find("LDLT") != string::npos)
itrSlv = false;
output out;
auto start = chrono::high_resolution_clock::now();
if (opt.dense) {
if (itrSlv) {
cerr << "Error: dense matrices does not support iterative solvers"
<< endl;
return 1;
}
if (opt.simplePrec) {
if (opt.cpxPb) {
if (opt.denseRR) {
rc = drtSolve<complex<float>, float, EigDMxC, EigDFLUC, EigDFQRC,
EigDLLTC, EigDLDLTC>(opt, out);
} else {
rc = drtSolve<complex<float>, float, EigDMxC, EigDPLUC, EigDPQRC,
EigDLLTC, EigDLDLTC>(opt, out);
}
} else {
if (opt.denseRR) {
rc = drtSolve<float, float, EigDMxS, EigDFLUS, EigDFQRS, EigDLLTS,
EigDLDLTS>(opt, out);
} else {
rc = drtSolve<float, float, EigDMxS, EigDPLUS, EigDPQRS, EigDLLTS,
EigDLDLTS>(opt, out);
}
}
} else {
if (opt.cpxPb) {
if (opt.denseRR) {
rc = drtSolve<complex<double>, double, EigDMxZ, EigDFLUZ, EigDFQRZ,
EigDLLTZ, EigDLDLTZ>(opt, out);
} else {
rc = drtSolve<complex<double>, double, EigDMxZ, EigDPLUZ, EigDPQRZ,
EigDLLTZ, EigDLDLTZ>(opt, out);
}
} else {
if (opt.denseRR) {
rc = drtSolve<double, double, EigDMxD, EigDFLUD, EigDFQRD, EigDLLTD,
EigDLDLTD>(opt, out);
} else {
rc = drtSolve<double, double, EigDMxD, EigDPLUD, EigDPQRD, EigDLLTD,
EigDLDLTD>(opt, out);
}
}
}
} else {
if (opt.simplePrec) {
if (opt.cpxPb) {
if (itrSlv) {
rc = itrSolve<complex<float>, float, EigSMxC, EigSBiCGC, EigSBiCGILUC,
EigSCGC, EigSCGILUC>(opt, out);
} else {
rc = drtSolve<complex<float>, float, EigSMxC, EigSLUC, EigSQRC,
EigSLLTC, EigSLDLTC>(opt, out);
}
} else {
if (itrSlv) {
rc = itrSolve<float, float, EigSMxS, EigSBiCGS, EigSBiCGILUS, EigSCGS,
EigSCGILUS>(opt, out);
} else {
rc = drtSolve<float, float, EigSMxS, EigSLUS, EigSQRS, EigSLLTS,
EigSLDLTS>(opt, out);
}
}
} else {
if (opt.cpxPb) {
if (itrSlv) {
rc = itrSolve<complex<double>, double, EigSMxZ, EigSBiCGZ,
EigSBiCGILUZ, EigSCGZ, EigSCGILUZ>(opt, out);
} else {
rc = drtSolve<complex<double>, double, EigSMxZ, EigSLUZ, EigSQRZ,
EigSLLTZ, EigSLDLTZ>(opt, out);
}
} else {
if (itrSlv) {
rc = itrSolve<double, double, EigSMxD, EigSBiCGD, EigSBiCGILUD,
EigSCGD, EigSCGILUD>(opt, out);
} else {
rc = drtSolve<double, double, EigSMxD, EigSLUD, EigSQRD, EigSLLTD,
EigSLDLTD>(opt, out);
}
}
}
}
if (rc != 0) {
cerr << "Error: arpack solve KO" << endl;
return rc;
}
// Output results and stats.
auto stop = chrono::high_resolution_clock::now();
double fullTime =
chrono::duration_cast<chrono::milliseconds>(stop - start).count() / 1000.;
cout << endl;
cout << "OUT: mode " << out.mode << ", nb EV found " << out.nbVal
<< ", nb iterations " << out.nbIt << endl;
cout << "OUT: init mode solver " << out.imsTime << " s, RCI time "
<< out.rciTime << " s" << endl;
cout << "OUT: full time " << fullTime << " s" << endl;
a_int nopx = 0, nbx = 0, nrorth = 0, nitref = 0, nrstrt = 0;
float tsaupd = 0., tsaup2 = 0., tsaitr = 0., tseigt = 0., tsgets = 0.,
tsapps = 0., tsconv = 0.;
float tnaupd = 0., tnaup2 = 0., tnaitr = 0., tneigt = 0., tngets = 0.,
tnapps = 0., tnconv = 0.;
float tcaupd = 0., tcaup2 = 0., tcaitr = 0., tceigt = 0., tcgets = 0.,
tcapps = 0., tcconv = 0.;
float tmvopx = 0., tmvbx = 0., tgetv0 = 0., titref = 0., trvec = 0.;
stat_c(nopx, nbx, nrorth, nitref, nrstrt, tsaupd, tsaup2, tsaitr, tseigt,
tsgets, tsapps, tsconv, tnaupd, tnaup2, tnaitr, tneigt, tngets, tnapps,
tnconv, tcaupd, tcaup2, tcaitr, tceigt, tcgets, tcapps, tcconv, tmvopx,
tmvbx, tgetv0, titref, trvec);
cout << endl;
cout << "STAT: total number of user OP*x operation "
<< nopx << endl;
cout << "STAT: total number of user B*x operation "
<< nbx << endl;
cout << "STAT: total number of reorthogonalization steps taken "
<< nrorth << endl;
cout << "STAT: total number of it. refinement steps in reorthogonalization "
<< nitref << endl;
cout << "STAT: total number of restart steps "
<< nrstrt << endl;
return 0;
}
// Local Variables:
// mode: c++
// c-file-style:"stroustrup"
// show-trailing-whitespace: t
// End:
/* vim: set sw=2 ts=2 et smartindent :*/