Actual source code: svdelemen.cxx

slepc-3.14.2 2021-02-01
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  1: /*
  2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  4:    Copyright (c) 2002-2020, 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 Elemental SVD solver
 12: */

 14: #include <slepc/private/svdimpl.h>
 15: #include <petsc/private/petscelemental.h>

 17: typedef struct {
 18:   Mat Ae;        /* converted matrix */
 19: } SVD_Elemental;

 21: PetscErrorCode SVDSetUp_Elemental(SVD svd)
 22: {
 24:   SVD_Elemental  *ctx = (SVD_Elemental*)svd->data;
 25:   PetscInt       M,N;

 28:   SVDMatGetSize(svd,&M,&N);
 29:   if (M!=N) SETERRQ(PetscObjectComm((PetscObject)svd),PETSC_ERR_SUP,"Not implemented for rectangular matrices");
 30:   svd->ncv = N;
 31:   if (svd->mpd!=PETSC_DEFAULT) { PetscInfo(svd,"Warning: parameter mpd ignored\n"); }
 32:   if (svd->max_it==PETSC_DEFAULT) svd->max_it = 1;
 33:   svd->leftbasis = PETSC_TRUE;
 34:   SVDCheckUnsupported(svd,SVD_FEATURE_STOPPING);
 35:   SVDAllocateSolution(svd,0);

 37:   /* convert matrix */
 38:   MatDestroy(&ctx->Ae);
 39:   MatConvert(svd->OP,MATELEMENTAL,MAT_INITIAL_MATRIX,&ctx->Ae);
 40:   return(0);
 41: }

 43: PetscErrorCode SVDSolve_Elemental(SVD svd)
 44: {
 46:   SVD_Elemental  *ctx = (SVD_Elemental*)svd->data;
 47:   Mat            A = ctx->Ae,Z,Q,U,V;
 48:   Mat_Elemental  *a = (Mat_Elemental*)A->data,*q,*z;
 49:   PetscInt       i,rrank,ridx,erow;

 52:   El::DistMatrix<PetscReal,El::STAR,El::VC> sigma(*a->grid);
 53:   MatDuplicate(A,MAT_DO_NOT_COPY_VALUES,&Z);
 54:   MatDuplicate(A,MAT_DO_NOT_COPY_VALUES,&Q);
 55:   z = (Mat_Elemental*)Z->data;
 56:   q = (Mat_Elemental*)Q->data;

 58:   El::SVD(*a->emat,*z->emat,sigma,*q->emat);

 60:   for (i=0;i<svd->ncv;i++) {
 61:     P2RO(A,1,i,&rrank,&ridx);
 62:     RO2E(A,1,rrank,ridx,&erow);
 63:     svd->sigma[i] = sigma.Get(erow,0);
 64:   }
 65:   BVGetMat(svd->U,&U);
 66:   MatConvert(Z,MATDENSE,MAT_REUSE_MATRIX,&U);
 67:   BVRestoreMat(svd->U,&U);
 68:   MatDestroy(&Z);
 69:   BVGetMat(svd->V,&V);
 70:   MatConvert(Q,MATDENSE,MAT_REUSE_MATRIX,&V);
 71:   BVRestoreMat(svd->V,&V);
 72:   MatDestroy(&Q);

 74:   svd->nconv  = svd->ncv;
 75:   svd->its    = 1;
 76:   svd->reason = SVD_CONVERGED_TOL;
 77:   return(0);
 78: }

 80: PetscErrorCode SVDDestroy_Elemental(SVD svd)
 81: {

 85:   PetscFree(svd->data);
 86:   return(0);
 87: }

 89: PetscErrorCode SVDReset_Elemental(SVD svd)
 90: {
 92:   SVD_Elemental  *ctx = (SVD_Elemental*)svd->data;

 95:   MatDestroy(&ctx->Ae);
 96:   return(0);
 97: }

 99: SLEPC_EXTERN PetscErrorCode SVDCreate_Elemental(SVD svd)
100: {
102:   SVD_Elemental  *ctx;

105:   PetscNewLog(svd,&ctx);
106:   svd->data = (void*)ctx;

108:   svd->ops->solve          = SVDSolve_Elemental;
109:   svd->ops->setup          = SVDSetUp_Elemental;
110:   svd->ops->destroy        = SVDDestroy_Elemental;
111:   svd->ops->reset          = SVDReset_Elemental;
112:   return(0);
113: }