Date: 2018-10-23T10:31:29+00:00

Actual source code: feast.c
slepc-3.10.1 2018-10-23
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-2018, Universitat Politecnica de Valencia, Spain

      6:    This file is part of SLEPc.
      7:    SLEPc is distributed under a 2-clause BSD license (see LICENSE).
      8:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      9: */
     10: /*
     11:    This file implements a wrapper to the FEAST package
     12: */

     14: #include <slepc/private/epsimpl.h>        /*I "slepceps.h" I*/
     15: #include <../src/eps/impls/external/feast/feastp.h>

     17: PetscErrorCode EPSSetUp_FEAST(EPS eps)
     18: {
     20:   PetscInt       ncv;
     21:   PetscBool      issinv,flg;
     22:   EPS_FEAST      *ctx = (EPS_FEAST*)eps->data;
     23:   PetscMPIInt    size;

     26:   MPI_Comm_size(PetscObjectComm((PetscObject)eps),&size);
     27:   if (size!=1) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"The FEAST interface is supported for sequential runs only");
     28:   if (eps->ncv) {
     29:     if (eps->ncv<eps->nev+2) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The value of ncv must be at least nev+2");
     30:   } else eps->ncv = PetscMin(PetscMax(20,2*eps->nev+1),eps->n); /* set default value of ncv */
     31:   if (eps->mpd) { PetscInfo(eps,"Warning: parameter mpd ignored\n"); }
     32:   if (!eps->max_it) eps->max_it = PetscMax(300,(PetscInt)(2*eps->n/eps->ncv));
     33:   if (!eps->which) eps->which = EPS_ALL;

     35:   ncv = eps->ncv;
     36:   PetscFree4(ctx->work1,ctx->work2,ctx->Aq,ctx->Bq);
     37:   PetscMalloc4(eps->nloc*ncv,&ctx->work1,eps->nloc*ncv,&ctx->work2,ncv*ncv,&ctx->Aq,ncv*ncv,&ctx->Bq);
     38:   PetscLogObjectMemory((PetscObject)eps,(2*eps->nloc*ncv+2*ncv*ncv)*sizeof(PetscScalar));

     40:   PetscObjectTypeCompareAny((PetscObject)eps->st,&issinv,STSINVERT,STCAYLEY,"");
     41:   if (!issinv) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Shift-and-invert or Cayley ST is needed for FEAST");

     43:   if (eps->extraction) { PetscInfo(eps,"Warning: extraction type ignored\n"); }

     45:   if (eps->which!=EPS_ALL || (eps->inta==0.0 && eps->intb==0.0)) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"FEAST must be used with a computational interval");
     46:   if (!eps->ishermitian) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"FEAST only available for symmetric/Hermitian eigenproblems");
     47:   if (eps->balance!=EPS_BALANCE_NONE) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Balancing not supported in the FEAST interface");
     48:   if (eps->arbitrary) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Arbitrary selection of eigenpairs not supported in this solver");
     49:   if (eps->stopping!=EPSStoppingBasic) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"External packages do not support user-defined stopping test");

     51:   if (!ctx->npoints) ctx->npoints = 8;

     53:   EPSAllocateSolution(eps,0);
     54:   PetscObjectTypeCompare((PetscObject)eps->V,BVVECS,&flg);
     55:   if (flg) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"This solver requires a BV with contiguous storage");
     56:   EPSSetWorkVecs(eps,1);
     57:   return(0);
     58: }

     60: PetscErrorCode EPSSolve_FEAST(EPS eps)
     61: {
     63:   EPS_FEAST      *ctx = (EPS_FEAST*)eps->data;
     64:   PetscBLASInt   n,fpm[64],ijob,info,nev,ncv,loop;
     65:   PetscReal      *evals,epsout;
     66:   PetscInt       i,k,nmat;
     67:   PetscScalar    *pV,Ze;
     68:   Vec            v0,x,y,w = eps->work[0];
     69:   Mat            A,B;

     72:   PetscBLASIntCast(eps->nev,&nev);
     73:   PetscBLASIntCast(eps->ncv,&ncv);
     74:   PetscBLASIntCast(eps->nloc,&n);

     76:   /* parameters */
     77:   FEASTinit_(fpm);
     78:   fpm[0] = (eps->numbermonitors>0)? 1: 0;                      /* runtime comments */
     79:   fpm[1] = ctx->npoints;                                       /* contour points */
     80:   PetscBLASIntCast(eps->max_it,&fpm[3]);  /* refinement loops */
     81: #if !defined(PETSC_HAVE_MPIUNI)
     82:   PetscBLASIntCast(MPI_Comm_c2f(PetscObjectComm((PetscObject)eps)),&fpm[8]);
     83: #endif

     85:   PetscMalloc1(eps->ncv,&evals);
     86:   BVGetColumn(eps->V,0,&v0);
     87:   VecGetArray(v0,&pV);

     89:   ijob = -1;           /* first call to reverse communication interface */
     90:   STGetNumMatrices(eps->st,&nmat);
     91:   STGetMatrix(eps->st,0,&A);
     92:   if (nmat>1) { STGetMatrix(eps->st,1,&B); }
     93:   else B = NULL;
     94:   MatCreateVecsEmpty(A,&x,&y);

     96:   do {

     98:     PetscStackCall("FEASTrci",FEASTrci_(&ijob,&n,&Ze,ctx->work1,ctx->work2,ctx->Aq,ctx->Bq,fpm,&epsout,&loop,&eps->inta,&eps->intb,&eps->ncv,evals,pV,&eps->nconv,eps->errest,&info));

    100:     if (ncv!=eps->ncv) SETERRQ1(PetscObjectComm((PetscObject)eps),1,"FEAST changed value of ncv to %d",ncv);
    101:     if (ijob == 10 || ijob == 20) {
    102:       /* set new quadrature point */
    103:       STSetShift(eps->st,-Ze);
    104:     } else if (ijob == 11 || ijob == 21) {
    105:       /* linear solve (A-sigma*B)\work2, overwrite work2 */
    106:       for (k=0;k<ncv;k++) {
    107:         VecPlaceArray(x,ctx->work2+eps->nloc*k);
    108:         if (ijob == 11) {
    109:           STMatSolve(eps->st,x,w);
    110:         } else {
    111:           STMatSolveTranspose(eps->st,x,w);
    112:         }
    113:         VecCopy(w,x);
    114:         VecScale(x,-1.0);
    115:         VecResetArray(x);
    116:       }
    117:     } else if (ijob == 30 || ijob == 40) {
    118:       /* multiplication A*V or B*V, result in work1 */
    119:       for (k=0;k<fpm[24];k++) {
    120:         VecPlaceArray(x,&pV[(fpm[23]+k-1)*eps->nloc]);
    121:         VecPlaceArray(y,&ctx->work1[(fpm[23]+k-1)*eps->nloc]);
    122:         if (ijob == 30) {
    123:           MatMult(A,x,y);
    124:         } else if (nmat>1) {
    125:           MatMult(B,x,y);
    126:         } else {
    127:           VecCopy(x,y);
    128:         }
    129:         VecResetArray(x);
    130:         VecResetArray(y);
    131:       }
    132:     } else if (ijob != 0) SETERRQ1(PetscObjectComm((PetscObject)eps),PETSC_ERR_LIB,"Internal error in FEAST reverse comunication interface (ijob=%d)",ijob);

    134:   } while (ijob != 0);

    136:   eps->reason = EPS_CONVERGED_TOL;
    137:   eps->its = loop;
    138:   if (info!=0) {
    139:     if (info==1) { /* No eigenvalue has been found in the proposed search interval */
    140:       eps->nconv = 0;
    141:     } else if (info==2) { /* FEAST did not converge "yet" */
    142:       eps->reason = EPS_DIVERGED_ITS;
    143:     } else SETERRQ1(PetscObjectComm((PetscObject)eps),PETSC_ERR_LIB,"Error reported by FEAST (%d)",info);
    144:   }

    146:   for (i=0;i<eps->nconv;i++) eps->eigr[i] = evals[i];

    148:   VecRestoreArray(v0,&pV);
    149:   BVRestoreColumn(eps->V,0,&v0);
    150:   VecDestroy(&x);
    151:   VecDestroy(&y);
    152:   PetscFree(evals);
    153:   return(0);
    154: }

    156: PetscErrorCode EPSReset_FEAST(EPS eps)
    157: {
    159:   EPS_FEAST      *ctx = (EPS_FEAST*)eps->data;

    162:   PetscFree4(ctx->work1,ctx->work2,ctx->Aq,ctx->Bq);
    163:   return(0);
    164: }

    166: PetscErrorCode EPSDestroy_FEAST(EPS eps)
    167: {

    171:   PetscFree(eps->data);
    172:   PetscObjectComposeFunction((PetscObject)eps,"EPSFEASTSetNumPoints_C",NULL);
    173:   PetscObjectComposeFunction((PetscObject)eps,"EPSFEASTGetNumPoints_C",NULL);
    174:   return(0);
    175: }

    177: PetscErrorCode EPSSetFromOptions_FEAST(PetscOptionItems *PetscOptionsObject,EPS eps)
    178: {
    180:   EPS_FEAST      *ctx = (EPS_FEAST*)eps->data;
    181:   PetscInt       n;
    182:   PetscBool      flg;

    185:   PetscOptionsHead(PetscOptionsObject,"EPS FEAST Options");

    187:     n = ctx->npoints;
    188:     PetscOptionsInt("-eps_feast_num_points","Number of contour integration points","EPSFEASTSetNumPoints",n,&n,&flg);
    189:     if (flg) { EPSFEASTSetNumPoints(eps,n); }

    191:   PetscOptionsTail();
    192:   return(0);
    193: }

    195: PetscErrorCode EPSView_FEAST(EPS eps,PetscViewer viewer)
    196: {
    198:   EPS_FEAST      *ctx = (EPS_FEAST*)eps->data;
    199:   PetscBool      isascii;

    202:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii);
    203:   if (isascii) {
    204:     PetscViewerASCIIPrintf(viewer,"  number of contour integration points=%D\n",ctx->npoints);
    205:   }
    206:   return(0);
    207: }

    209: PetscErrorCode EPSSetDefaultST_FEAST(EPS eps)
    210: {

    214:   if (!((PetscObject)eps->st)->type_name) {
    215:     STSetType(eps->st,STSINVERT);
    216:   }
    217:   return(0);
    218: }

    220: static PetscErrorCode EPSFEASTSetNumPoints_FEAST(EPS eps,PetscInt npoints)
    221: {
    223:   EPS_FEAST      *ctx = (EPS_FEAST*)eps->data;

    226:   if (npoints == PETSC_DEFAULT) ctx->npoints = 8;
    227:   else {
    228:     PetscBLASIntCast(npoints,&ctx->npoints);
    229:   }
    230:   return(0);
    231: }

    233: /*@
    234:    EPSFEASTSetNumPoints - Sets the number of contour integration points for
    235:    the FEAST package.

    237:    Collective on EPS

    239:    Input Parameters:
    240: +  eps     - the eigenproblem solver context
    241: -  npoints - number of contour integration points

    243:    Options Database Key:
    244: .  -eps_feast_num_points - Sets the number of points

    246:    Level: advanced

    248: .seealso: EPSFEASTGetNumPoints()
    249: @*/
    250: PetscErrorCode EPSFEASTSetNumPoints(EPS eps,PetscInt npoints)
    251: {

    257:   PetscTryMethod(eps,"EPSFEASTSetNumPoints_C",(EPS,PetscInt),(eps,npoints));
    258:   return(0);
    259: }

    261: static PetscErrorCode EPSFEASTGetNumPoints_FEAST(EPS eps,PetscInt *npoints)
    262: {
    263:   EPS_FEAST *ctx = (EPS_FEAST*)eps->data;

    266:   *npoints = ctx->npoints;
    267:   return(0);
    268: }

    270: /*@
    271:    EPSFEASTGetNumPoints - Gets the number of contour integration points for
    272:    the FEAST package.

    274:    Collective on EPS

    276:    Input Parameter:
    277: .  eps     - the eigenproblem solver context

    279:    Output Parameter:
    280: -  npoints - number of contour integration points

    282:    Level: advanced

    284: .seealso: EPSFEASTSetNumPoints()
    285: @*/
    286: PetscErrorCode EPSFEASTGetNumPoints(EPS eps,PetscInt *npoints)
    287: {

    293:   PetscUseMethod(eps,"EPSFEASTGetNumPoints_C",(EPS,PetscInt*),(eps,npoints));
    294:   return(0);
    295: }

    297: PETSC_EXTERN PetscErrorCode EPSCreate_FEAST(EPS eps)
    298: {
    299:   EPS_FEAST      *ctx;

    303:   PetscNewLog(eps,&ctx);
    304:   eps->data = (void*)ctx;

    306:   eps->categ = EPS_CATEGORY_CONTOUR;

    308:   eps->ops->solve          = EPSSolve_FEAST;
    309:   eps->ops->setup          = EPSSetUp_FEAST;
    310:   eps->ops->setfromoptions = EPSSetFromOptions_FEAST;
    311:   eps->ops->destroy        = EPSDestroy_FEAST;
    312:   eps->ops->reset          = EPSReset_FEAST;
    313:   eps->ops->view           = EPSView_FEAST;
    314:   eps->ops->setdefaultst   = EPSSetDefaultST_FEAST;

    316:   PetscObjectComposeFunction((PetscObject)eps,"EPSFEASTSetNumPoints_C",EPSFEASTSetNumPoints_FEAST);
    317:   PetscObjectComposeFunction((PetscObject)eps,"EPSFEASTGetNumPoints_C",EPSFEASTGetNumPoints_FEAST);
    318:   return(0);
    319: }