/*
-----------------------
set the default fields
return value ---
1 -- normal return
-1 -- bridge is NULL
created -- 98sep18, cca
-----------------------
*/
int
BridgeMT_setDefaultFields (
BridgeMT *bridge
) {
if ( bridge == NULL ) {
fprintf(stderr, "\n fatal error in BridgeMT_setDefaultFields(%p)"
"\n bad input\n", bridge) ;
return(-1) ;
}
/*
----------------
graph statistics
----------------
*/
bridge->neqns = 0 ;
bridge->nedges = 0 ;
bridge->Neqns = 0 ;
bridge->Nedges = 0 ;
/*
-------------------
ordering parameters
-------------------
*/
bridge->compressCutoff = 0.0 ;
bridge->maxdomainsize = -1 ;
bridge->maxnzeros = -1 ;
bridge->maxsize = -1 ;
bridge->seed = -1 ;
/*
-------------------------------
matrix/factorization parameters
-------------------------------
*/
bridge->type = SPOOLES_REAL ;
bridge->symmetryflag = SPOOLES_SYMMETRIC ;
bridge->sparsityflag = FRONTMTX_DENSE_FRONTS ;
bridge->pivotingflag = SPOOLES_NO_PIVOTING ;
bridge->tau = 100.0 ;
bridge->droptol = 1.e-3 ;
bridge->lookahead = 0 ;
bridge->patchinfo = NULL ;
/*
------------------------
multithreaded parameters
------------------------
*/
bridge->nthread = 0 ;
bridge->ownersIV = NULL ;
bridge->solvemap = NULL ;
bridge->cumopsDV = NULL ;
/*
------------------------------------
message info, statistics and timings
------------------------------------
*/
IVzero(6, bridge->stats) ;
DVzero(16, bridge->cpus) ;
bridge->msglvl = 0 ;
bridge->msgFile = stdout ;
/*
-------------------
pointers to objects
-------------------
*/
bridge->frontETree = NULL ;
bridge->symbfacIVL = NULL ;
bridge->mtxmanager = NULL ;
bridge->frontmtx = NULL ;
bridge->oldToNewIV = NULL ;
bridge->newToOldIV = NULL ;
return(1) ; }
/*--------------------------------------------------------------------*/
int
main ( int argc, char *argv[] )
/*
-----------------------------------------------------
test the factor method for a grid matrix
(0) read in matrix from source file
(1) conver data matrix to InpMtx object if necessary
(2) create Graph and ETree object if necessary
(3) read in/create an ETree object
(4) create a solution matrix object
(5) multiply the solution with the matrix
to get a right hand side matrix object
(6) factor the matrix
(7) solve the system
created -- 98dec30, jwu
-----------------------------------------------------
*/
{
char etreeFileName[80], mtxFileName[80], *cpt, rhsFileName[80],
srcFileName[80], ctemp[81], msgFileName[80], slnFileName[80] ;
Chv *chv, *rootchv ;
ChvManager *chvmanager ;
DenseMtx *mtxB, *mtxQ, *mtxX, *mtxZ ;
double one[2] = { 1.0, 0.0 } ;
FrontMtx *frontmtx ;
InpMtx *mtxA ;
SubMtxManager *mtxmanager ;
double cputotal, droptol, conv_tol, factorops ;
double cpus[9] ;
Drand drand ;
double nops, tau, t1, t2 ;
ETree *frontETree ;
Graph *graph ;
FILE *msgFile, *inFile ;
int error, loc, msglvl, neqns, nzf, iformat,
pivotingflag, rc, seed, sparsityflag, symmetryflag,
method[METHODS], type, nrhs, etreeflag ;
int stats[6] ;
int nnzA, Ik, itermax, zversion, iterout ;
IV *newToOldIV, *oldToNewIV ;
IVL *symbfacIVL ;
int i, j, k, m, n, imethod, maxdomainsize, maxzeros, maxsize;
int nouter,ninner ;
if ( argc != 2 ) {
fprintf(stdout,
"\n\n usage : %s inFile"
"\n inFile -- input filename"
"\n", argv[0]) ;
return(-1) ;
}
/* read input file */
inFile = fopen(argv[1], "r");
if (inFile == (FILE *)NULL) {
fprintf(stderr, "\n fatal error in %s: unable to open file %s\n",
argv[0], argv[1]) ;
return(-1) ;
}
for (i=0; i<METHODS; i++) method[i]=-1;
imethod=0;
k=0;
while (1) {
fgets(ctemp, 80, inFile);
if (ctemp[0] != '*') {
/*printf("l=%2d:%s\n", strlen(ctemp),ctemp);*/
if (strlen(ctemp)==80) {
fprintf(stderr, "\n fatal error in %s: input line contains more than "
"80 characters.\n",argv[0]);
exit(-1);
}
if (k==0) {
sscanf(ctemp, "%d", &iformat);
if (iformat < 0 || iformat > 2) {
fprintf(stderr, "\n fatal error in %s: "
"invalid source matrix format\n",argv[0]) ;
return(-1) ;
}
}
else if (k==1)
sscanf(ctemp, "%s", srcFileName);
else if (k==2)
sscanf(ctemp, "%s", mtxFileName);
else if (k==3) {
sscanf(ctemp, "%d", &etreeflag);
if (etreeflag < 0 || etreeflag > 4) {
fprintf(stderr, "\n fatal error in %s: "
"invalid etree file status\n",argv[0]) ;
return(-1) ;
}
}
else if (k==4)
sscanf(ctemp, "%s", etreeFileName);
else if (k==5)
sscanf(ctemp, "%s", rhsFileName);
else if (k==6)
sscanf(ctemp, "%s", slnFileName);
else if (k==7){
sscanf(ctemp, "%s", msgFileName);
if ( strcmp(msgFileName, "stdout") == 0 ) {
msgFile = stdout ;
}
else if ( (msgFile = fopen(msgFileName, "a")) == NULL ) {
fprintf(stderr, "\n fatal error in %s"
"\n unable to open file %s\n", argv[0], ctemp) ;
return(-1) ;
}
}
else if (k==8)
sscanf(ctemp, "%d %d %d %d %d %d",
&msglvl, &seed, &nrhs, &Ik, &itermax, &iterout);
else if (k==9)
sscanf(ctemp, "%d %d %d", &symmetryflag, &sparsityflag, &pivotingflag);
else if (k==10)
sscanf(ctemp, "%lf %lf %lf", &tau, &droptol, &conv_tol);
else if (k==11) {
/*
for (j=0; j<strlen(ctemp); j++) {
printf("j=%2d:%s",j,ctemp+j);
if (ctemp[j] == ' ' && ctemp[j+1] != ' ') {
sscanf(ctemp+j, "%d", method+imethod);
printf("method[%d]=%d\n",imethod,method[imethod]);
if (method[imethod] < 0) break;
imethod++;
}
}
*/
imethod = sscanf(ctemp,"%d %d %d %d %d %d %d %d %d %d",
method, method+1, method+2, method+3, method+4,
method+5, method+6, method+7, method+8, method+9);
/*printf("imethod=%d\n",imethod);*/
for (j=0; j<imethod; j++) {
/*printf("method[%d]=%d\n",j,method[j]);*/
if (method[j]<0) {
imethod=j;
break;
}
}
if (imethod == 0) {
fprintf(msgFile,"No method assigned in input file\n");
return(-1);
}
}
k++;
}
if (k==12) break;
}
fclose(inFile);
/* reset nrhs to 1 */
if (nrhs > 1) {
fprintf(msgFile,"*** Multiple right-hand-side vectors is not allowed yet.\n");
fprintf(msgFile,"*** nrhs is reset to 1.\n");
nrhs =1;
}
fprintf(msgFile,
"\n %s "
"\n srcFileName -- %s"
"\n mtxFileName -- %s"
"\n etreeFileName -- %s"
"\n rhsFileName -- %s"
"\n msglvl -- %d"
"\n seed -- %d"
"\n symmetryflag -- %d"
"\n sparsityflag -- %d"
"\n pivotingflag -- %d"
"\n tau -- %e"
"\n droptol -- %e"
"\n conv_tol -- %e"
"\n method -- ",
argv[0], srcFileName, mtxFileName, etreeFileName, rhsFileName,
msglvl, seed, symmetryflag, sparsityflag, pivotingflag,
tau, droptol, conv_tol) ;
for (k=0; k<imethod; k++)
fprintf(msgFile, "%d ", method[k]);
fprintf(msgFile, "\n ", method[k]);
fflush(msgFile) ;
/*
--------------------------------------
initialize the random number generator
--------------------------------------
*/
Drand_setDefaultFields(&drand) ;
Drand_init(&drand) ;
Drand_setSeed(&drand, seed) ;
/*Drand_setUniform(&drand, 0.0, 1.0) ;*/
Drand_setNormal(&drand, 0.0, 1.0) ;
/*
----------------------------------------------
read in or convert source to the InpMtx object
----------------------------------------------
*/
rc = 1;
if ( strcmp(srcFileName, "none") == 0 ) {
fprintf(msgFile, "\n no file to read from") ;
exit(-1) ;
}
mtxA = InpMtx_new() ;
MARKTIME(t1) ;
if (iformat == 0) { /* InpMtx source format */
rc = InpMtx_readFromFile(mtxA, srcFileName) ;
strcpy(mtxFileName, srcFileName);
if ( rc != 1 )
fprintf(msgFile, "\n return value %d from InpMtx_readFromFile(%p,%s)",
rc, mtxA, srcFileName) ;
}
else if (iformat == 1) { /* HBF source format */
rc = InpMtx_readFromHBfile(mtxA, srcFileName) ;
if ( rc != 1 )
fprintf(msgFile, "\n return value %d from InpMtx_readFromHBfile(%p,%s)",
rc, mtxA, srcFileName) ;
}
else { /* AIJ2 source format */
rc = InpMtx_readFromAIJ2file(mtxA, srcFileName) ;
if ( rc != 1 )
fprintf(msgFile, "\n return value %d from InpMtx_readFromAIJ2file(%p,%s)",
rc, mtxA, srcFileName) ;
}
MARKTIME(t2) ;
if (iformat>0 && strcmp(mtxFileName, "none") != 0 ) {
rc = InpMtx_writeToFile(mtxA, mtxFileName) ;
if ( rc != 1 )
fprintf(msgFile, "\n return value %d from InpMtx_writeToFile(%p,%s)",
rc, mtxA, mtxFileName) ;
}
fprintf(msgFile, "\n CPU %8.3f : read in (+ convert to) mtxA from file %s",
t2 - t1, mtxFileName) ;
if (rc != 1) {
goto end_read;
}
type = mtxA->inputMode ;
neqns = 1 + IVmax(mtxA->nent, InpMtx_ivec1(mtxA), &loc) ;
if ( INPMTX_IS_BY_ROWS(mtxA) ) {
fprintf(msgFile, "\n matrix coordinate type is rows") ;
} else if ( INPMTX_IS_BY_COLUMNS(mtxA) ) {
fprintf(msgFile, "\n matrix coordinate type is columns") ;
} else if ( INPMTX_IS_BY_CHEVRONS(mtxA) ) {
fprintf(msgFile, "\n matrix coordinate type is chevrons") ;
} else {
fprintf(msgFile, "\n\n, error, bad coordinate type") ;
rc=-1;
goto end_read;
}
if ( INPMTX_IS_RAW_DATA(mtxA) ) {
fprintf(msgFile, "\n matrix storage mode is raw data\n") ;
} else if ( INPMTX_IS_SORTED(mtxA) ) {
fprintf(msgFile, "\n matrix storage mode is sorted\n") ;
} else if ( INPMTX_IS_BY_VECTORS(mtxA) ) {
fprintf(msgFile, "\n matrix storage mode is by vectors\n") ;
} else {
fprintf(msgFile, "\n\n, error, bad storage mode") ;
rc=-1;
goto end_read;
}
if ( msglvl > 1 ) {
fprintf(msgFile, "\n\n after reading InpMtx object from file %s",
mtxFileName) ;
if ( msglvl == 2 ) {
InpMtx_writeStats(mtxA, msgFile) ;
} else {
InpMtx_writeForHumanEye(mtxA, msgFile) ;
}
fflush(msgFile) ;
}
/*
Get the nonzeros in matrix A and print it
*/
nnzA = InpMtx_nent( mtxA );
fprintf(msgFile, "\n\n Input matrix size %d NNZ %d",
neqns, nnzA) ;
/*
--------------------------------------------------------
generate the linear system
1. generate solution matrix and fill with random numbers
2. generate rhs matrix and fill with zeros
3. compute matrix-matrix multiply
--------------------------------------------------------
*/
MARKTIME(t1) ;
mtxX = DenseMtx_new() ;
DenseMtx_init(mtxX, type, 0, -1, neqns, nrhs, 1, neqns) ;
mtxB = DenseMtx_new() ;
if (strcmp(rhsFileName, "none")) {
rc = DenseMtx_readFromFile(mtxB, rhsFileName) ;
if ( rc != 1 )
fprintf(msgFile, "\n return value %d from DenseMtx_readFromFile(%p,%s)",
rc, mtxB, rhsFileName) ;
DenseMtx_zero(mtxX) ;
}
else {
DenseMtx_init(mtxB, type, 1, -1, neqns, nrhs, 1, neqns) ;
DenseMtx_fillRandomEntries(mtxX, &drand) ;
DenseMtx_zero(mtxB) ;
switch ( symmetryflag ) {
case SPOOLES_SYMMETRIC :
InpMtx_sym_mmm(mtxA, mtxB, one, mtxX) ;
break ;
case SPOOLES_HERMITIAN :
InpMtx_herm_mmm(mtxA, mtxB, one, mtxX) ;
break ;
case SPOOLES_NONSYMMETRIC :
InpMtx_nonsym_mmm(mtxA, mtxB, one, mtxX) ;
break ;
default :
break ;
}
}
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : set up the solution and rhs ",
t2 - t1) ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n original mtxX") ;
DenseMtx_writeForHumanEye(mtxX, msgFile) ;
fprintf(msgFile, "\n\n original mtxB") ;
DenseMtx_writeForHumanEye(mtxB, msgFile) ;
fflush(msgFile) ;
}
if (rc != 1) {
InpMtx_free(mtxA);
DenseMtx_free(mtxX);
DenseMtx_free(mtxB);
goto end_init;
}
/*
------------------------
read in/create the ETree object
------------------------
*/
MARKTIME(t1) ;
if (etreeflag == 0) { /* read in ETree from file */
if ( strcmp(etreeFileName, "none") == 0 )
fprintf(msgFile, "\n no file to read from") ;
frontETree = ETree_new() ;
rc = ETree_readFromFile(frontETree, etreeFileName) ;
if (rc!=1)
fprintf(msgFile, "\n return value %d from ETree_readFromFile(%p,%s)",
rc, frontETree, etreeFileName) ;
}
else {
graph = Graph_new() ;
rc = InpMtx_createGraph(mtxA, graph);
if (rc!=1) {
fprintf(msgFile, "\n return value %d from InpMtx_createGraph(%p,%p)",
rc, mtxA, graph) ;
Graph_free(graph);
goto end_tree;
}
if (etreeflag == 1) { /* Via BestOfNDandMS */
maxdomainsize = 500; maxzeros = 1000; maxsize = 64 ;
frontETree = orderViaBestOfNDandMS(graph, maxdomainsize, maxzeros,
maxsize, seed, msglvl, msgFile) ;
}
else if (etreeflag == 2) { /* Via MMD */
frontETree = orderViaMMD(graph, seed, msglvl, msgFile) ;
}
else if (etreeflag == 3) { /* Via MS */
maxdomainsize = 500;
frontETree = orderViaMS(graph, maxdomainsize, seed, msglvl, msgFile) ;
}
else if (etreeflag == 4) { /* Via ND */
maxdomainsize = 500;
frontETree = orderViaND(graph, maxdomainsize, seed, msglvl, msgFile) ;
}
Graph_free(graph);
/* optionally write out the ETree object */
if ( strcmp(etreeFileName, "none") != 0 ) {
fprintf(msgFile, "\n\n writing out ETree to file %s",
etreeFileName) ;
ETree_writeToFile(frontETree, etreeFileName) ;
}
}
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : read in/create frontETree from file %s",
t2 - t1, etreeFileName) ;
if ( rc != 1 ) {
ETree_free(frontETree);
goto end_tree;
}
ETree_leftJustify(frontETree) ;
if ( msglvl > 1 ) {
fprintf(msgFile, "\n\n after reading ETree object from file %s",
etreeFileName) ;
if ( msglvl == 2 ) {
ETree_writeStats(frontETree, msgFile) ;
} else {
ETree_writeForHumanEye(frontETree, msgFile) ;
}
}
fflush(msgFile) ;
/*
--------------------------------------------------
get the permutations, permute the matrix and the
front tree, and compute the symbolic factorization
--------------------------------------------------
*/
MARKTIME(t1) ;
oldToNewIV = ETree_oldToNewVtxPerm(frontETree) ;
newToOldIV = ETree_newToOldVtxPerm(frontETree) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : get permutations", t2 - t1) ;
MARKTIME(t1) ;
ETree_permuteVertices(frontETree, oldToNewIV) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : permute front tree", t2 - t1) ;
MARKTIME(t1) ;
InpMtx_permute(mtxA, IV_entries(oldToNewIV), IV_entries(oldToNewIV)) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : permute mtxA", t2 - t1) ;
if ( symmetryflag == SPOOLES_SYMMETRIC
|| symmetryflag == SPOOLES_HERMITIAN ) {
MARKTIME(t1) ;
InpMtx_mapToUpperTriangle(mtxA) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : map to upper triangle", t2 - t1) ;
}
if ( ! INPMTX_IS_BY_CHEVRONS(mtxA) ) {
MARKTIME(t1) ;
InpMtx_changeCoordType(mtxA, INPMTX_BY_CHEVRONS) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : change coordinate type", t2 - t1) ;
}
if ( INPMTX_IS_RAW_DATA(mtxA) ) {
MARKTIME(t1) ;
InpMtx_changeStorageMode(mtxA, INPMTX_SORTED) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : sort entries ", t2 - t1) ;
}
if ( INPMTX_IS_SORTED(mtxA) ) {
MARKTIME(t1) ;
InpMtx_changeStorageMode(mtxA, INPMTX_BY_VECTORS) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : convert to vectors ", t2 - t1) ;
}
MARKTIME(t1) ;
symbfacIVL = SymbFac_initFromInpMtx(frontETree, mtxA) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : symbolic factorization", t2 - t1) ;
MARKTIME(t1) ;
DenseMtx_permuteRows(mtxB, oldToNewIV) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : permute rhs", t2 - t1) ;
/*
------------------------------
initialize the FrontMtx object
------------------------------
*/
MARKTIME(t1) ;
frontmtx = FrontMtx_new() ;
mtxmanager = SubMtxManager_new() ;
SubMtxManager_init(mtxmanager, NO_LOCK, 0) ;
FrontMtx_init(frontmtx, frontETree, symbfacIVL,
type, symmetryflag, sparsityflag, pivotingflag,
NO_LOCK, 0, NULL, mtxmanager, msglvl, msgFile) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n\n CPU %8.3f : initialize the front matrix",
t2 - t1) ;
if ( msglvl > 1 ) {
fprintf(msgFile,
"\n nendD = %d, nentL = %d, nentU = %d",
frontmtx->nentD, frontmtx->nentL, frontmtx->nentU) ;
SubMtxManager_writeForHumanEye(mtxmanager, msgFile) ;
}
if ( msglvl > 2 ) {
fprintf(msgFile, "\n front matrix initialized") ;
FrontMtx_writeForHumanEye(frontmtx, msgFile) ;
fflush(msgFile) ;
}
/*
-----------------
factor the matrix
-----------------
*/
nzf = ETree_nFactorEntries(frontETree, symmetryflag) ;
factorops = ETree_nFactorOps(frontETree, type, symmetryflag) ;
fprintf(msgFile,
"\n %d factor entries, %.0f factor ops, %8.3f ratio",
nzf, factorops, factorops/nzf) ;
IVzero(6, stats) ;
DVzero(9, cpus) ;
chvmanager = ChvManager_new() ;
ChvManager_init(chvmanager, NO_LOCK, 1) ;
MARKTIME(t1) ;
rootchv = FrontMtx_factorInpMtx(frontmtx, mtxA, tau, droptol,
chvmanager, &error, cpus,
stats, msglvl, msgFile) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n\n CPU %8.3f : factor matrix, %8.3f mflops",
t2 - t1, 1.e-6*factorops/(t2-t1)) ;
if ( rootchv != NULL ) {
fprintf(msgFile, "\n\n factorization did not complete") ;
for ( chv = rootchv ; chv != NULL ; chv = chv->next ) {
fprintf(stdout, "\n chv %d, nD = %d, nL = %d, nU = %d",
chv->id, chv->nD, chv->nL, chv->nU) ;
}
}
if ( error >= 0 ) {
fprintf(msgFile, "\n\n error encountered at front %d\n", error) ;
rc=error ;
goto end_front;
}
fprintf(msgFile,
"\n %8d pivots, %8d pivot tests, %8d delayed rows and columns",
stats[0], stats[1], stats[2]) ;
if ( frontmtx->rowadjIVL != NULL ) {
fprintf(msgFile,
"\n %d entries in rowadjIVL", frontmtx->rowadjIVL->tsize) ;
}
if ( frontmtx->coladjIVL != NULL ) {
fprintf(msgFile,
", %d entries in coladjIVL", frontmtx->coladjIVL->tsize) ;
}
if ( frontmtx->upperblockIVL != NULL ) {
fprintf(msgFile,
"\n %d fronts, %d entries in upperblockIVL",
frontmtx->nfront, frontmtx->upperblockIVL->tsize) ;
}
if ( frontmtx->lowerblockIVL != NULL ) {
fprintf(msgFile,
", %d entries in lowerblockIVL",
frontmtx->lowerblockIVL->tsize) ;
}
fprintf(msgFile,
"\n %d entries in D, %d entries in L, %d entries in U",
stats[3], stats[4], stats[5]) ;
fprintf(msgFile, "\n %d locks", frontmtx->nlocks) ;
if ( FRONTMTX_IS_SYMMETRIC(frontmtx)
|| FRONTMTX_IS_HERMITIAN(frontmtx) ) {
int nneg, npos, nzero ;
FrontMtx_inertia(frontmtx, &nneg, &nzero, &npos) ;
fprintf(msgFile,
"\n %d negative, %d zero and %d positive eigenvalues",
nneg, nzero, npos) ;
fflush(msgFile) ;
}
cputotal = cpus[8] ;
if ( cputotal > 0.0 ) {
fprintf(msgFile,
"\n initialize fronts %8.3f %6.2f"
"\n load original entries %8.3f %6.2f"
"\n update fronts %8.3f %6.2f"
"\n assemble postponed data %8.3f %6.2f"
"\n factor fronts %8.3f %6.2f"
"\n extract postponed data %8.3f %6.2f"
"\n store factor entries %8.3f %6.2f"
"\n miscellaneous %8.3f %6.2f"
"\n total time %8.3f",
cpus[0], 100.*cpus[0]/cputotal,
cpus[1], 100.*cpus[1]/cputotal,
cpus[2], 100.*cpus[2]/cputotal,
cpus[3], 100.*cpus[3]/cputotal,
cpus[4], 100.*cpus[4]/cputotal,
cpus[5], 100.*cpus[5]/cputotal,
cpus[6], 100.*cpus[6]/cputotal,
cpus[7], 100.*cpus[7]/cputotal, cputotal) ;
}
if ( msglvl > 1 ) {
SubMtxManager_writeForHumanEye(mtxmanager, msgFile) ;
ChvManager_writeForHumanEye(chvmanager, msgFile) ;
}
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n front factor matrix") ;
FrontMtx_writeForHumanEye(frontmtx, msgFile) ;
}
/*
------------------------------
post-process the factor matrix
------------------------------
*/
MARKTIME(t1) ;
FrontMtx_postProcess(frontmtx, msglvl, msgFile) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n\n CPU %8.3f : post-process the matrix", t2 - t1) ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n front factor matrix after post-processing") ;
FrontMtx_writeForHumanEye(frontmtx, msgFile) ;
}
fprintf(msgFile, "\n\n after post-processing") ;
if ( msglvl > 1 ) SubMtxManager_writeForHumanEye(frontmtx->manager, msgFile) ;
/*
----------------
solve the system
----------------
*/
neqns = mtxB->nrow ;
mtxZ = DenseMtx_new() ;
DenseMtx_init(mtxZ, type, 0, 0, neqns, nrhs, 1, neqns) ;
zversion=INPMTX_IS_COMPLEX_ENTRIES(mtxA);
for (k=0; k<imethod; k++) {
DenseMtx_zero(mtxZ) ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n rhs") ;
DenseMtx_writeForHumanEye(mtxB, msgFile) ;
fflush(stdout) ;
}
fprintf(msgFile, "\n\n itemax %d", itermax) ;
DVzero(6, cpus) ;
MARKTIME(t1) ;
switch ( method[k] ) {
case BiCGStabR :
if (zversion)
rc=zbicgstabr(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
else
rc=bicgstabr(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
break;
case BiCGStabL :
if (zversion)
rc=zbicgstabl(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
else
rc=bicgstabl(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
break;
case TFQMRR :
if (zversion)
rc=ztfqmrr(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
else
rc=tfqmrr(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
break;
case TFQMRL :
if (zversion)
rc=ztfqmrl(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
else
rc=tfqmrl(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
break;
case PCGR :
if (zversion)
rc=zpcgr(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
else
rc=pcgr(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
break;
case PCGL :
if (zversion)
rc=zpcgl(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
else
rc=pcgl(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ, mtxB,
itermax, conv_tol, msglvl, msgFile);
break;
case MLBiCGStabR :
mtxQ = DenseMtx_new() ;
DenseMtx_init(mtxQ, type, 0, -1, neqns, Ik, 1, neqns) ;
Drand_setUniform(&drand, 0.0, 1.0) ;
DenseMtx_fillRandomEntries(mtxQ, &drand) ;
if (zversion)
rc=zmlbicgstabr(neqns, type, symmetryflag, mtxA, frontmtx, mtxQ, mtxZ,
mtxB, itermax, conv_tol, msglvl, msgFile);
else
rc=mlbicgstabr(neqns, type, symmetryflag, mtxA, frontmtx, mtxQ, mtxZ,
mtxB, itermax, conv_tol, msglvl, msgFile);
DenseMtx_free(mtxQ) ;
break;
case MLBiCGStabL :
mtxQ = DenseMtx_new() ;
DenseMtx_init(mtxQ, type, 0, -1, neqns, Ik, 1, neqns) ;
Drand_setUniform(&drand, 0.0, 1.0) ;
DenseMtx_fillRandomEntries(mtxQ, &drand) ;
if (zversion)
rc=zmlbicgstabl(neqns, type, symmetryflag, mtxA, frontmtx, mtxQ, mtxZ,
mtxB, itermax, conv_tol, msglvl, msgFile);
else
rc=mlbicgstabl(neqns, type, symmetryflag, mtxA, frontmtx, mtxQ, mtxZ,
mtxB, itermax, conv_tol, msglvl, msgFile);
DenseMtx_free(mtxQ) ;
break;
case BGMRESR:
if (zversion)
fprintf(msgFile, "\n\n *** BGMRESR complex version is not available "
"at this moment. ") ;
else
rc=bgmresr(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ,
mtxB, iterout, itermax, &nouter, &ninner, conv_tol,
msglvl, msgFile);
break;
case BGMRESL:
if (zversion)
fprintf(msgFile, "\n\n *** BGMRESR complex version is not available "
"at this moment. ") ;
else
rc=bgmresl(neqns, type, symmetryflag, mtxA, frontmtx, mtxZ,
mtxB, iterout, itermax, &nouter, &ninner, conv_tol,
msglvl, msgFile);
break;
default:
fprintf(msgFile, "\n\n *** Invalid method number ") ;
}
MARKTIME(t2) ;
fprintf(msgFile, "\n\n CPU %8.3f : solve the system", t2 - t1) ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n computed solution") ;
DenseMtx_writeForHumanEye(mtxZ, msgFile) ;
fflush(stdout) ;
}
/*
-------------------------------------------------------------
permute the computed solution back into the original ordering
-------------------------------------------------------------
*/
MARKTIME(t1) ;
DenseMtx_permuteRows(mtxZ, newToOldIV) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : permute solution", t2 - t1) ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n permuted solution") ;
DenseMtx_writeForHumanEye(mtxZ, msgFile) ;
fflush(stdout) ;
}
/*
-------------
save solution
-------------
*/
if ( strcmp(slnFileName, "none") != 0 ) {
DenseMtx_writeToFile(mtxZ, slnFileName) ;
}
/*
-----------------
compute the error
-----------------
*/
if (!strcmp(rhsFileName, "none")) {
DenseMtx_sub(mtxZ, mtxX) ;
if (method[k] <8) {
mtxQ = DenseMtx_new() ;
DenseMtx_init(mtxQ, type, 0, -1, neqns, 1, 1, neqns) ;
rc=DenseMtx_initAsSubmatrix (mtxQ, mtxZ, 0, neqns-1, 0, 0);
fprintf(msgFile, "\n\n maxabs error = %12.4e", DenseMtx_maxabs(mtxQ)) ;
DenseMtx_free(mtxQ) ;
}
else
fprintf(msgFile, "\n\n maxabs error = %12.4e", DenseMtx_maxabs(mtxZ)) ;
if ( msglvl > 1 ) {
fprintf(msgFile, "\n\n error") ;
DenseMtx_writeForHumanEye(mtxZ, msgFile) ;
fflush(stdout) ;
}
if ( msglvl > 1 )
SubMtxManager_writeForHumanEye(frontmtx->manager, msgFile) ;
}
fprintf(msgFile, "\n--------- End of Method %d -------\n",method[k]) ;
}
/*
------------------------
free the working storage
------------------------
*/
DenseMtx_free(mtxZ) ;
end_front:
ChvManager_free(chvmanager) ;
SubMtxManager_free(mtxmanager) ;
FrontMtx_free(frontmtx) ;
IVL_free(symbfacIVL) ;
IV_free(oldToNewIV) ;
IV_free(newToOldIV) ;
end_tree:
ETree_free(frontETree) ;
end_init:
DenseMtx_free(mtxB) ;
DenseMtx_free(mtxX) ;
end_read:
InpMtx_free(mtxA) ;
fprintf(msgFile, "\n") ;
fclose(msgFile) ;
return(rc) ; }
/*
--------------------------------------------------------------
purpose -- to permute (if necessary) the original matrix,
and to initialize, factor and postprocess the factor matrix
return value ---
1 -- normal return, factorization complete
0 -- factorization did not complete, see error flag
-1 -- bridge is NULL
-2 -- mtxA is NULL
-3 -- perror is NULL
created -- 98sep18, cca
--------------------------------------------------------------
*/
int
BridgeMT_factor (
BridgeMT *bridge,
InpMtx *mtxA,
int permuteflag,
int *perror
) {
Chv *rootchv ;
ChvManager *chvmanager ;
double cputotal, nfops, t0, t1, t2 ;
double cpus[11] ;
int msglvl, nzf ;
int stats[16] ;
FILE *msgFile ;
FrontMtx *frontmtx ;
SubMtxManager *mtxmanager ;
/*--------------------------------------------------------------------*/
MARKTIME(t0) ;
/*
---------------
check the input
---------------
*/
if ( bridge == NULL ) {
fprintf(stderr, "\n error in BridgeMT_factor()"
"\n bridge is NULL\n") ;
return(-1) ;
}
if ( mtxA == NULL ) {
fprintf(stderr, "\n error in BridgeMT_factor()"
"\n mtxA is NULL\n") ;
return(-2) ;
}
if ( perror == NULL ) {
fprintf(stderr, "\n error in BridgeMT_factor()"
"\n perror is NULL\n") ;
return(-3) ;
}
msglvl = bridge->msglvl ;
msgFile = bridge->msgFile ;
/*--------------------------------------------------------------------*/
MARKTIME(t1) ;
if ( permuteflag == 1 ) {
int *oldToNew = IV_entries(bridge->oldToNewIV) ;
/*
------------------------------------------------
permute the input matrix and convert to chevrons
------------------------------------------------
*/
InpMtx_permute(mtxA, oldToNew, oldToNew) ;
if ( bridge->symmetryflag == SPOOLES_SYMMETRIC
|| bridge->symmetryflag == SPOOLES_HERMITIAN ) {
InpMtx_mapToUpperTriangle(mtxA) ;
}
}
if ( ! INPMTX_IS_BY_CHEVRONS(mtxA) ) {
InpMtx_changeCoordType(mtxA, INPMTX_BY_CHEVRONS) ;
}
if ( ! INPMTX_IS_BY_VECTORS(mtxA) ) {
InpMtx_changeStorageMode(mtxA, INPMTX_BY_VECTORS) ;
}
MARKTIME(t2) ;
bridge->cpus[6] += t2 - t1 ;
if ( msglvl > 1 ) {
fprintf(msgFile, "\n CPU %8.3f : permute and format A", t2 - t1) ;
fflush(msgFile) ;
}
/*
---------------------------
initialize the front matrix
---------------------------
*/
MARKTIME(t1) ;
if ( (mtxmanager = bridge->mtxmanager) == NULL ) {
mtxmanager = bridge->mtxmanager = SubMtxManager_new() ;
SubMtxManager_init(mtxmanager, LOCK_IN_PROCESS, 0) ;
}
if ( (frontmtx = bridge->frontmtx) == NULL ) {
frontmtx = bridge->frontmtx = FrontMtx_new() ;
} else {
FrontMtx_clearData(frontmtx) ;
}
FrontMtx_init(frontmtx, bridge->frontETree, bridge->symbfacIVL,
bridge->type, bridge->symmetryflag, bridge->sparsityflag,
bridge->pivotingflag, LOCK_IN_PROCESS, 0, NULL,
mtxmanager, msglvl, msgFile) ;
frontmtx->patchinfo = bridge->patchinfo ;
MARKTIME(t2) ;
bridge->cpus[7] += t2 - t1 ;
if ( msglvl > 1 ) {
fprintf(msgFile, "\n CPU %8.3f : initialize front matrix", t2 - t1) ;
fflush(msgFile) ;
}
/*
-----------------
factor the matrix
-----------------
*/
nzf = ETree_nFactorEntries(bridge->frontETree, bridge->symmetryflag) ;
nfops = ETree_nFactorOps(bridge->frontETree,
bridge->type, bridge->symmetryflag) ;
if ( msglvl > 1 ) {
fprintf(msgFile,
"\n %d factor entries, %.0f factor ops, %8.3f ratio",
nzf, nfops, nfops/nzf) ;
fflush(msgFile) ;
}
IVzero(16, stats) ;
DVzero(11, cpus) ;
chvmanager = ChvManager_new() ;
ChvManager_init(chvmanager, LOCK_IN_PROCESS, 1) ;
MARKTIME(t1) ;
rootchv = FrontMtx_MT_factorInpMtx(frontmtx, mtxA, bridge->tau,
bridge->droptol, chvmanager, bridge->ownersIV,
bridge->lookahead, perror, cpus, stats, msglvl, msgFile) ;
MARKTIME(t2) ;
IVcopy(6, bridge->stats, stats) ;
bridge->cpus[8] += t2 - t1 ;
if ( msglvl > 1 ) {
fprintf(msgFile, "\n\n CPU %8.3f : factor matrix, %8.3f mflops",
t2 - t1, 1.e-6*nfops/(t2-t1)) ;
fprintf(msgFile,
"\n %8d pivots, %8d pivot tests, %8d delayed vertices"
"\n %d entries in D, %d entries in L, %d entries in U",
stats[0], stats[1], stats[2], stats[3], stats[4], stats[5]) ;
cputotal = cpus[8] ;
if ( cputotal > 0.0 ) {
fprintf(msgFile,
"\n initialize fronts %8.3f %6.2f"
"\n load original entries %8.3f %6.2f"
"\n update fronts %8.3f %6.2f"
"\n assemble postponed data %8.3f %6.2f"
"\n factor fronts %8.3f %6.2f"
"\n extract postponed data %8.3f %6.2f"
"\n store factor entries %8.3f %6.2f"
"\n miscellaneous %8.3f %6.2f"
"\n total time %8.3f",
cpus[0], 100.*cpus[0]/cputotal,
cpus[1], 100.*cpus[1]/cputotal,
cpus[2], 100.*cpus[2]/cputotal,
cpus[3], 100.*cpus[3]/cputotal,
cpus[4], 100.*cpus[4]/cputotal,
cpus[5], 100.*cpus[5]/cputotal,
cpus[6], 100.*cpus[6]/cputotal,
cpus[7], 100.*cpus[7]/cputotal, cputotal) ;
}
}
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n submatrix mananger after factorization") ;
SubMtxManager_writeForHumanEye(mtxmanager, msgFile) ;
fprintf(msgFile, "\n\n chevron mananger after factorization") ;
ChvManager_writeForHumanEye(chvmanager, msgFile) ;
fflush(msgFile) ;
}
if ( msglvl > 3 ) {
fprintf(msgFile, "\n\n front factor matrix") ;
FrontMtx_writeForHumanEye(frontmtx, msgFile) ;
fflush(msgFile) ;
}
ChvManager_free(chvmanager) ;
if ( *perror >= 0 ) {
return(0) ;
}
/*
-----------------------------
post-process the front matrix
-----------------------------
*/
MARKTIME(t1) ;
FrontMtx_postProcess(frontmtx, msglvl, msgFile) ;
MARKTIME(t2) ;
bridge->cpus[9] += t2 - t1 ;
if ( msglvl > 1 ) {
fprintf(msgFile,
"\n\n CPU %8.3f : post-process the matrix", t2 - t1) ;
fflush(msgFile) ;
}
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n submatrix mananger after post-processing") ;
SubMtxManager_writeForHumanEye(frontmtx->manager, msgFile) ;
fflush(msgFile) ;
}
if ( msglvl > 3 ) {
fprintf(msgFile, "\n\n front factor matrix after post-processing") ;
FrontMtx_writeForHumanEye(frontmtx, msgFile) ;
fflush(msgFile) ;
}
/*--------------------------------------------------------------------*/
MARKTIME(t2) ;
bridge->cpus[10] += t2 - t0 ;
if ( msglvl > 1 ) {
fprintf(msgFile, "\n\n CPU %8.3f : total factor time", t2 - t0) ;
fflush(msgFile) ;
}
return(1) ; }
/*
--------------------------------------------
purpose -- to solve the linear system
MPI version
if permuteflag is 1 then
rhs is permuted into new ordering
solution is permuted into old ordering
return value ---
1 -- normal return
-1 -- bridge is NULL
-2 -- X is NULL
-3 -- Y is NULL
-4 -- frontmtx is NULL
-5 -- mtxmanager is NULL
-6 -- oldToNewIV not available
-7 -- newToOldIV not available
created -- 98sep18, cca
--------------------------------------------
*/
int
BridgeMPI_solve (
BridgeMPI *bridge,
int permuteflag,
DenseMtx *X,
DenseMtx *Y
) {
DenseMtx *Xloc, *Yloc ;
double cputotal, t0, t1, t2 ;
double cpus[6] ;
FILE *msgFile ;
FrontMtx *frontmtx ;
int firsttag, msglvl, myid, nmycol, nrhs, nrow ;
int *mycolind, *rowind ;
int stats[4] ;
IV *mapIV, *ownersIV ;
MPI_Comm comm ;
SubMtxManager *mtxmanager ;
/*
---------------
check the input
---------------
*/
MARKTIME(t0) ;
if ( bridge == NULL ) {
fprintf(stderr, "\n error in BridgeMPI_solve"
"\n bridge is NULL\n") ;
return(-1) ;
}
if ( (frontmtx = bridge->frontmtx) == NULL ) {
fprintf(stderr, "\n error in BridgeMPI_solve"
"\n frontmtx is NULL\n") ;
return(-4) ;
}
if ( (mtxmanager = bridge->mtxmanager) == NULL ) {
fprintf(stderr, "\n error in BridgeMPI_solve"
"\n mtxmanager is NULL\n") ;
return(-5) ;
}
myid = bridge->myid ;
comm = bridge->comm ;
msglvl = bridge->msglvl ;
msgFile = bridge->msgFile ;
frontmtx = bridge->frontmtx ;
ownersIV = bridge->ownersIV ;
Xloc = bridge->Xloc ;
Yloc = bridge->Yloc ;
if ( myid != 0 ) {
X = Y = NULL ;
} else {
if ( X == NULL ) {
fprintf(stderr, "\n error in BridgeMPI_solve"
"\n myid 0, X is NULL\n") ;
return(-2) ;
}
if ( Y == NULL ) {
fprintf(stderr, "\n error in BridgeMPI_solve"
"\n myid 0, Y is NULL\n") ;
return(-3) ;
}
}
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n inside BridgeMPI_solve()") ;
fflush(msgFile) ;
}
if ( msglvl > 2 ) {
fprintf(msgFile , "\n\n Xloc") ;
DenseMtx_writeForHumanEye(Xloc, msgFile) ;
fprintf(msgFile , "\n\n Yloc") ;
DenseMtx_writeForHumanEye(Yloc, msgFile) ;
fflush(msgFile) ;
}
/*--------------------------------------------------------------------*/
if ( myid == 0 ) {
/*
--------------------------
optionally permute the rhs
--------------------------
*/
if ( permuteflag == 1 ) {
int rc ;
IV *oldToNewIV ;
MARKTIME(t1) ;
rc = BridgeMPI_oldToNewIV(bridge, &oldToNewIV) ;
if (rc != 1) {
fprintf(stderr, "\n error in BridgeMPI_solve()"
"\n rc = %d from BridgeMPI_oldToNewIV()\n", rc) ;
return(-6) ;
}
DenseMtx_permuteRows(Y, oldToNewIV) ;
MARKTIME(t2) ;
bridge->cpus[15] += t2 - t1 ;
if ( msglvl > 2 ) {
fprintf(msgFile , "\n\n permuted Y") ;
DenseMtx_writeForHumanEye(Y, msgFile) ;
fflush(msgFile) ;
}
}
}
/*--------------------------------------------------------------------*/
/*
-------------------------------------
distribute the right hand side matrix
-------------------------------------
*/
MARKTIME(t1) ;
mapIV = bridge->rowmapIV ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n row map IV object") ;
IV_writeForHumanEye(mapIV, msgFile) ;
fflush(msgFile) ;
}
if ( myid == 0 ) {
nrhs = Y->ncol ;
} else {
nrhs = 0 ;
}
MPI_Bcast((void *) &nrhs, 1, MPI_INT, 0, comm) ;
firsttag = 0 ;
IVfill(4, stats, 0) ;
DenseMtx_MPI_splitFromGlobalByRows(Y, Yloc, mapIV, 0, stats,
msglvl, msgFile, firsttag, comm) ;
MARKTIME(t2) ;
bridge->cpus[16] += t2 - t1 ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n local matrix Y after the split") ;
DenseMtx_writeForHumanEye(Yloc, msgFile) ;
fflush(msgFile) ;
}
/*--------------------------------------------------------------------*/
/*
--------------------------------------
initialize the local solution X object
--------------------------------------
*/
MARKTIME(t1) ;
IV_sizeAndEntries(bridge->ownedColumnsIV, &nmycol, &mycolind) ;
DenseMtx_init(Xloc, bridge->type, -1, -1, nmycol, nrhs, 1, nmycol) ;
if ( nmycol > 0 ) {
DenseMtx_rowIndices(Xloc, &nrow, &rowind) ;
IVcopy(nmycol, rowind, mycolind) ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n local matrix X") ;
DenseMtx_writeForHumanEye(Xloc, msgFile) ;
fflush(msgFile) ;
}
}
MARKTIME(t2) ;
bridge->cpus[17] += t2 - t1 ;
/*--------------------------------------------------------------------*/
/*
----------------
solve the system
----------------
*/
MARKTIME(t1) ;
DVzero(6, cpus) ;
FrontMtx_MPI_solve(frontmtx, Xloc, Yloc, mtxmanager, bridge->solvemap,
cpus, stats, msglvl, msgFile, firsttag, comm) ;
MARKTIME(t2) ;
bridge->cpus[18] += t2 - t1 ;
if ( msglvl > 1 ) {
fprintf(msgFile, "\n\n CPU %8.3f : solve the system", t2 - t1) ;
}
cputotal = t2 - t1 ;
if ( cputotal > 0.0 ) {
fprintf(msgFile,
"\n set up solves %8.3f %6.2f"
"\n load rhs and store solution %8.3f %6.2f"
"\n forward solve %8.3f %6.2f"
"\n diagonal solve %8.3f %6.2f"
"\n backward solve %8.3f %6.2f"
"\n total time %8.3f",
cpus[0], 100.*cpus[0]/cputotal,
cpus[1], 100.*cpus[1]/cputotal,
cpus[2], 100.*cpus[2]/cputotal,
cpus[3], 100.*cpus[3]/cputotal,
cpus[4], 100.*cpus[4]/cputotal, cputotal) ;
}
if ( msglvl > 3 ) {
fprintf(msgFile, "\n\n computed solution") ;
DenseMtx_writeForHumanEye(Xloc, msgFile) ;
fflush(stdout) ;
}
/*--------------------------------------------------------------------*/
/*
-------------------------------------
gather the solution on processor zero
-------------------------------------
*/
MARKTIME(t1) ;
DenseMtx_MPI_mergeToGlobalByRows(X, Xloc, 0, stats, msglvl, msgFile,
firsttag, comm) ;
MARKTIME(t2) ;
bridge->cpus[19] += t2 - t1 ;
if ( myid == 0 ) {
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n global matrix X in new ordering") ;
DenseMtx_writeForHumanEye(X, msgFile) ;
fflush(msgFile) ;
}
}
/*--------------------------------------------------------------------*/
/*
-------------------------------
optionally permute the solution
-------------------------------
*/
if ( myid == 0 ) {
if ( permuteflag == 1 ) {
int rc ;
IV *newToOldIV ;
rc = BridgeMPI_newToOldIV(bridge, &newToOldIV) ;
if (rc != 1) {
fprintf(stderr, "\n error in BridgeMPI_solve()"
"\n rc = %d from BridgeMPI_newToOldIV()\n", rc) ;
return(-7) ;
}
DenseMtx_permuteRows(X, newToOldIV) ;
}
MARKTIME(t2) ;
bridge->cpus[20] += t2 - t1 ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n global matrix X in old ordering") ;
DenseMtx_writeForHumanEye(X, msgFile) ;
fflush(msgFile) ;
}
}
MARKTIME(t2) ;
bridge->cpus[21] += t2 - t0 ;
return(1) ; }
/*
----------------------------
purpose -- basic initializer
created -- 98may01, cca
----------------------------
*/
void
SubMtx_init (
SubMtx *mtx,
int type,
int mode,
int rowid,
int colid,
int nrow,
int ncol,
int nent
) {
int nbytes ;
int *colind, *rowind ;
/*
---------------
check the input
---------------
*/
if ( mtx == NULL ) {
fprintf(stderr, "\n fatal error in SubMtx_init()"
"\n mtx is NULL\n") ;
exit(-1) ;
}
if ( nrow <= 0 ) {
fprintf(stderr, "\n fatal error in SubMtx_init()"
"\n nrow = %d <= 0\n", nrow) ;
exit(-1) ;
}
if ( ncol <= 0 ) {
fprintf(stderr, "\n fatal error in SubMtx_init()"
"\n ncol = %d <= 0\n", ncol) ;
exit(-1) ;
}
if ( nrow <= 0 ) {
fprintf(stderr, "\n fatal error in SubMtx_init()"
"\n nent = %d <= 0\n", nent) ;
exit(-1) ;
}
switch ( type ) {
case SPOOLES_REAL :
case SPOOLES_COMPLEX :
break ;
default :
fprintf(stderr, "\n fatal error in SubMtx_init()"
"\n invalid type %d", type) ;
exit(-1) ;
}
switch ( mode ) {
case SUBMTX_DENSE_ROWS :
case SUBMTX_DENSE_COLUMNS :
case SUBMTX_DIAGONAL :
case SUBMTX_SPARSE_ROWS :
case SUBMTX_SPARSE_COLUMNS :
case SUBMTX_SPARSE_TRIPLES :
case SUBMTX_DENSE_SUBROWS :
case SUBMTX_DENSE_SUBCOLUMNS :
case SUBMTX_BLOCK_DIAGONAL_SYM :
case SUBMTX_BLOCK_DIAGONAL_HERM :
break ;
default :
fprintf(stderr, "\n fatal error in SubMtx_init()"
"\n invalid mode %d", mode) ;
exit(-1) ;
}
/*
-------------------------------------------------------
get and set the number of bytes needed in the workspace
-------------------------------------------------------
*/
nbytes = SubMtx_nbytesNeeded(type, mode, nrow, ncol, nent) ;
SubMtx_setNbytesInWorkspace(mtx, nbytes) ;
DVzero(nbytes/sizeof(double), (double *) SubMtx_workspace(mtx)) ;
/*
--------------
set the fields
--------------
*/
SubMtx_setFields(mtx, type, mode, rowid, colid, nrow, ncol, nent) ;
SubMtx_rowIndices(mtx, &nrow, &rowind) ;
IVramp(nrow, rowind, 0, 1) ;
SubMtx_columnIndices(mtx, &ncol, &colind) ;
IVramp(ncol, colind, 0, 1) ;
return ; }
/*
-----------------------------------------------------------
A contains the following data from the A = QR factorization
A(1:ncolA,1:ncolA) = R
A(j+1:nrowA,j) is v_j, the j-th householder vector,
where v_j[j] = 1.0
NOTE: A and Q must be column major
created -- 98dec10, cca
-----------------------------------------------------------
*/
void
A2_computeQ (
A2 *Q,
A2 *A,
DV *workDV,
int msglvl,
FILE *msgFile
) {
double *betas ;
int irowA, jcolA, ncolA, nrowA ;
/*
---------------
check the input
---------------
*/
if ( Q == NULL ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n Q is NULL\n") ;
exit(-1) ;
}
if ( A == NULL ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n A is NULL\n") ;
exit(-1) ;
}
if ( workDV == NULL ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n workDV is NULL\n") ;
exit(-1) ;
}
if ( msglvl > 0 && msgFile == NULL ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n msglvl > 0 and msgFile is NULL\n") ;
exit(-1) ;
}
nrowA = A2_nrow(A) ;
ncolA = A2_ncol(A) ;
if ( nrowA <= 0 ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n nrowA = %d\n", nrowA) ;
exit(-1) ;
}
if ( ncolA <= 0 ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n ncolA = %d\n", nrowA) ;
exit(-1) ;
}
if ( nrowA != A2_nrow(Q) ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n nrowA = %d, nrowQ = %d\n", nrowA, A2_nrow(Q)) ;
exit(-1) ;
}
if ( ncolA != A2_ncol(Q) ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n ncolA = %d, ncolQ = %d\n", ncolA, A2_ncol(Q)) ;
exit(-1) ;
}
switch ( A->type ) {
case SPOOLES_REAL :
case SPOOLES_COMPLEX :
break ;
default :
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n invalid type for A\n") ;
exit(-1) ;
}
if ( A->type != Q->type ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n A->type = %d, Q->type = %d\n", A->type, Q->type) ;
exit(-1) ;
}
if ( A2_inc1(A) != 1 ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n A->inc1 = %d \n", A2_inc1(A)) ;
exit(-1) ;
}
if ( A2_inc1(Q) != 1 ) {
fprintf(stderr, "\n fatal error in A2_computeQ()"
"\n Q->inc1 = %d, \n", A2_inc1(Q)) ;
exit(-1) ;
}
/*
--------------------------------------------------
compute the beta values, beta_j = 2./(V_j^H * V_j)
--------------------------------------------------
*/
DV_setSize(workDV, ncolA) ;
betas = DV_entries(workDV) ;
if ( A2_IS_REAL(A) ) {
int irowA, jcolA ;
double sum ;
double *colA ;
for ( jcolA = 0 ; jcolA < ncolA ; jcolA++ ) {
sum = 1.0 ;
colA = A2_column(A, jcolA) ;
for ( irowA = jcolA + 1 ; irowA < nrowA ; irowA++ ) {
sum += colA[irowA] * colA[irowA] ;
}
betas[jcolA] = 2./sum ;
}
} else {
double ival, rval, sum ;
double *colA ;
for ( jcolA = 0 ; jcolA < ncolA ; jcolA++ ) {
sum = 1.0 ;
colA = A2_column(A, jcolA) ;
for ( irowA = jcolA + 1 ; irowA < nrowA ; irowA++ ) {
rval = colA[2*irowA] ; ival = colA[2*irowA+1] ;
sum += rval*rval + ival*ival ;
}
betas[jcolA] = 2./sum ;
}
}
/*
-------------------------------------------
loop over the number of householder vectors
-------------------------------------------
*/
for ( jcolA = 0 ; jcolA < ncolA ; jcolA++ ) {
double *V, *X ;
int jcolV ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n %% jcolA = %d", jcolA) ;
fflush(msgFile) ;
}
/*
------------------
set X[] to e_jcolA
------------------
*/
X = A2_column(Q, jcolA) ;
if ( A2_IS_REAL(Q) ) {
DVzero(nrowA, X) ;
X[jcolA] = 1.0 ;
} else {
DVzero(2*nrowA, X) ;
X[2*jcolA] = 1.0 ;
}
for ( jcolV = jcolA ; jcolV >= 0 ; jcolV-- ) {
double beta ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n %% jcolV = %d", jcolV) ;
fflush(msgFile) ;
}
/*
-----------------------------------------------------
update X = (I - beta_jcolV * V_jcolV * V_jcolV^T)X
= X - beta_jcolV * V_jcolV * V_jcolV^T * X
= X - (beta_jcolV * V_jcolV^T * X) * V_jcolV
-----------------------------------------------------
*/
V = A2_column(A, jcolV) ;
beta = betas[jcolV] ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n %% beta = %12.4e", beta) ;
fflush(msgFile) ;
}
if ( A2_IS_REAL(Q) ) {
double fac, sum = X[jcolV] ;
int irow ;
for ( irow = jcolV + 1 ; irow < nrowA ; irow++ ) {
if ( msglvl > 2 ) {
fprintf(msgFile,
"\n %% V[%d] = %12.4e, X[%d] = %12.4e",
irow, V[irow], irow, X[irow]) ;
fflush(msgFile) ;
}
sum += V[irow] * X[irow] ;
}
if ( msglvl > 2 ) {
fprintf(msgFile, "\n %% sum = %12.4e", sum) ;
fflush(msgFile) ;
}
fac = beta * sum ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n %% fac = %12.4e", fac) ;
fflush(msgFile) ;
}
X[jcolV] -= fac ;
for ( irow = jcolV + 1 ; irow < nrowA ; irow++ ) {
X[irow] -= fac * V[irow] ;
}
} else {
double rfac, ifac, rsum = X[2*jcolV], isum = X[2*jcolV+1] ;
int irow ;
for ( irow = jcolV + 1 ; irow < nrowA ; irow++ ) {
double Vi, Vr, Xi, Xr ;
Vr = V[2*irow] ; Vi = V[2*irow+1] ;
Xr = X[2*irow] ; Xi = X[2*irow+1] ;
rsum += Vr*Xr + Vi*Xi ;
isum += Vr*Xi - Vi*Xr ;
}
rfac = beta * rsum ;
ifac = beta * isum ;
X[2*jcolV] -= rfac ;
X[2*jcolV+1] -= ifac ;
for ( irow = jcolV + 1 ; irow < nrowA ; irow++ ) {
double Vi, Vr ;
Vr = V[2*irow] ; Vi = V[2*irow+1] ;
X[2*irow] -= rfac*Vr - ifac*Vi ;
X[2*irow+1] -= rfac*Vi + ifac*Vr ;
}
}
}
}
return ; }
/*
-----------------------
compute W0 = v^H * A
created -- 98may30, cca
-----------------------
*/
static double
computeW1 (
A2 *mtxA,
double H0[],
double W0[],
int msglvl,
FILE *msgFile
) {
double nops ;
int inc1, inc2, ncolA, nrowA ;
if ( msglvl > 5 ) {
fprintf(msgFile, "\n %% inside computeW1, nrow %d, ncol %d",
mtxA->n1, mtxA->n2) ;
}
nrowA = mtxA->n1 ;
ncolA = mtxA->n2 ;
inc1 = mtxA->inc1 ;
inc2 = mtxA->inc2 ;
if ( inc1 != 1 && inc2 != 1 ) {
fprintf(stderr, "\n error in computeW1"
"\n inc1 = %d, inc2 = %d\n", inc1, inc2) ;
exit(-1) ;
}
nops = 0.0 ;
if ( A2_IS_REAL(mtxA) ) {
int irow, jcol ;
if ( inc1 == 1 ) {
double sums[3] ;
double *colA0, *colA1, *colA2 ;
/*
----------------------------
A is column major,
compute W(j) = H0^T * A(*,j)
----------------------------
*/
for ( jcol = 0 ; jcol < ncolA - 2 ; jcol += 3 ) {
colA0 = A2_column(mtxA, jcol) ;
colA1 = A2_column(mtxA, jcol+1) ;
colA2 = A2_column(mtxA, jcol+2) ;
DVdot13(nrowA, H0, colA0, colA1, colA2, sums) ;
W0[jcol] = sums[0] ;
W0[jcol+1] = sums[1] ;
W0[jcol+2] = sums[2] ;
nops += 6*nrowA ;
}
if ( jcol == ncolA - 2 ) {
colA0 = A2_column(mtxA, jcol) ;
colA1 = A2_column(mtxA, jcol+1) ;
DVdot12(nrowA, H0, colA0, colA1, sums) ;
W0[jcol] = sums[0] ;
W0[jcol+1] = sums[1] ;
nops += 4*nrowA ;
} else if ( jcol == ncolA - 1 ) {
colA0 = A2_column(mtxA, jcol) ;
DVdot11(nrowA, H0, colA0, sums) ;
W0[jcol] = sums[0] ;
nops += 2*nrowA ;
}
} else {
double alpha[3] ;
double *rowA0, *rowA1, *rowA2 ;
/*
-------------------------------
A is row major
compute W := W + H0(j) * A(j,*)
-------------------------------
*/
DVzero(ncolA, W0) ;
for ( irow = 0 ; irow < nrowA - 2 ; irow += 3 ) {
rowA0 = A2_row(mtxA, irow) ;
rowA1 = A2_row(mtxA, irow+1) ;
rowA2 = A2_row(mtxA, irow+2) ;
alpha[0] = H0[irow] ;
alpha[1] = H0[irow+1] ;
alpha[2] = H0[irow+2] ;
DVaxpy13(ncolA, W0, alpha, rowA0, rowA1, rowA2) ;
nops += 6*ncolA ;
}
if ( irow == nrowA - 2 ) {
rowA0 = A2_row(mtxA, irow) ;
rowA1 = A2_row(mtxA, irow+1) ;
alpha[0] = H0[irow] ;
alpha[1] = H0[irow+1] ;
DVaxpy12(ncolA, W0, alpha, rowA0, rowA1) ;
nops += 4*ncolA ;
} else if ( irow == nrowA - 1 ) {
rowA0 = A2_row(mtxA, irow) ;
alpha[0] = H0[irow] ;
DVaxpy11(ncolA, W0, alpha, rowA0) ;
nops += 2*ncolA ;
}
}
} else if ( A2_IS_COMPLEX(mtxA) ) {
int irow, jcol ;
if ( inc1 == 1 ) {
double sums[6] ;
double *colA0, *colA1, *colA2 ;
/*
----------------------------
A is column major
compute W(j) = H0^H * A(*,j)
----------------------------
*/
for ( jcol = 0 ; jcol < ncolA - 2 ; jcol += 3 ) {
colA0 = A2_column(mtxA, jcol) ;
colA1 = A2_column(mtxA, jcol+1) ;
colA2 = A2_column(mtxA, jcol+2) ;
ZVdotC13(nrowA, H0, colA0, colA1, colA2, sums) ;
W0[2*jcol] = sums[0] ; W0[2*jcol+1] = sums[1] ;
W0[2*(jcol+1)] = sums[2] ; W0[2*(jcol+1)+1] = sums[3] ;
W0[2*(jcol+2)] = sums[4] ; W0[2*(jcol+2)+1] = sums[5] ;
nops += 24*nrowA ;
}
if ( jcol == ncolA - 2 ) {
colA0 = A2_column(mtxA, jcol) ;
colA1 = A2_column(mtxA, jcol+1) ;
ZVdotC12(nrowA, H0, colA0, colA1, sums) ;
W0[2*jcol] = sums[0] ; W0[2*jcol+1] = sums[1] ;
W0[2*(jcol+1)] = sums[2] ; W0[2*(jcol+1)+1] = sums[3] ;
nops += 16*nrowA ;
} else if ( jcol == ncolA - 1 ) {
colA0 = A2_column(mtxA, jcol) ;
ZVdotC11(nrowA, H0, colA0, sums) ;
W0[2*jcol] = sums[0] ; W0[2*jcol+1] = sums[1] ;
nops += 8*nrowA ;
}
} else {
double alpha[6] ;
double *rowA0, *rowA1, *rowA2 ;
/*
---------------------------------
A is row major
compute W := W + H0(j)^H * A(j,*)
---------------------------------
*/
DVzero(2*ncolA, W0) ;
for ( irow = 0 ; irow < nrowA - 2 ; irow += 3 ) {
rowA0 = A2_row(mtxA, irow) ;
rowA1 = A2_row(mtxA, irow+1) ;
rowA2 = A2_row(mtxA, irow+2) ;
alpha[0] = H0[2*irow] ; alpha[1] = -H0[2*irow+1] ;
alpha[2] = H0[2*(irow+1)] ; alpha[3] = -H0[2*(irow+1)+1] ;
alpha[4] = H0[2*(irow+2)] ; alpha[5] = -H0[2*(irow+2)+1] ;
ZVaxpy13(ncolA, W0, alpha, rowA0, rowA1, rowA2) ;
nops += 24*ncolA ;
}
if ( irow == nrowA - 2 ) {
rowA0 = A2_row(mtxA, irow) ;
rowA1 = A2_row(mtxA, irow+1) ;
alpha[0] = H0[2*irow] ; alpha[1] = -H0[2*irow+1] ;
alpha[2] = H0[2*(irow+1)] ; alpha[3] = -H0[2*(irow+1)+1] ;
ZVaxpy12(ncolA, W0, alpha, rowA0, rowA1) ;
nops += 16*ncolA ;
} else if ( irow == nrowA - 1 ) {
rowA0 = A2_row(mtxA, irow) ;
alpha[0] = H0[2*irow] ; alpha[1] = -H0[2*irow+1] ;
ZVaxpy11(ncolA, W0, alpha, rowA0) ;
nops += 8*ncolA ;
}
}
}
return(nops) ; }