Actual source code: bvmat.c

slepc-3.5.2 2014-10-10
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  1: /*
  2:    BV implemented with a dense Mat

  4:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  5:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  6:    Copyright (c) 2002-2014, Universitat Politecnica de Valencia, Spain

  8:    This file is part of SLEPc.

 10:    SLEPc is free software: you can redistribute it and/or modify it under  the
 11:    terms of version 3 of the GNU Lesser General Public License as published by
 12:    the Free Software Foundation.

 14:    SLEPc  is  distributed in the hope that it will be useful, but WITHOUT  ANY
 15:    WARRANTY;  without even the implied warranty of MERCHANTABILITY or  FITNESS
 16:    FOR  A  PARTICULAR PURPOSE. See the GNU Lesser General Public  License  for
 17:    more details.

 19:    You  should have received a copy of the GNU Lesser General  Public  License
 20:    along with SLEPc. If not, see <http://www.gnu.org/licenses/>.
 21:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 22: */

 24: #include <slepc-private/bvimpl.h>

 26: typedef struct {
 27:   Mat       A;
 28:   PetscBool mpi;
 29: } BV_MAT;

 33: PetscErrorCode BVMult_Mat(BV Y,PetscScalar alpha,PetscScalar beta,BV X,Mat Q)
 34: {
 36:   BV_MAT         *y = (BV_MAT*)Y->data,*x = (BV_MAT*)X->data;
 37:   PetscScalar    *px,*py,*q;
 38:   PetscInt       ldq;

 41:   MatGetSize(Q,&ldq,NULL);
 42:   MatDenseGetArray(x->A,&px);
 43:   MatDenseGetArray(y->A,&py);
 44:   MatDenseGetArray(Q,&q);
 45:   BVMult_BLAS_Private(Y,Y->n,Y->k-Y->l,X->k-X->l,ldq,alpha,px+(X->nc+X->l)*X->n,q+Y->l*ldq+X->l,beta,py+(Y->nc+Y->l)*Y->n);
 46:   MatDenseRestoreArray(Q,&q);
 47:   MatDenseRestoreArray(x->A,&px);
 48:   MatDenseRestoreArray(y->A,&py);
 49:   return(0);
 50: }

 54: PetscErrorCode BVMultVec_Mat(BV X,PetscScalar alpha,PetscScalar beta,Vec y,PetscScalar *q)
 55: {
 57:   BV_MAT         *x = (BV_MAT*)X->data;
 58:   PetscScalar    *px,*py;

 61:   MatDenseGetArray(x->A,&px);
 62:   VecGetArray(y,&py);
 63:   BVMultVec_BLAS_Private(X,X->n,X->k-X->l,alpha,px+(X->nc+X->l)*X->n,q,beta,py);
 64:   MatDenseRestoreArray(x->A,&px);
 65:   VecRestoreArray(y,&py);
 66:   return(0);
 67: }

 71: PetscErrorCode BVMultInPlace_Mat(BV V,Mat Q,PetscInt s,PetscInt e)
 72: {
 74:   BV_MAT         *ctx = (BV_MAT*)V->data;
 75:   PetscScalar    *pv,*q;
 76:   PetscInt       ldq;

 79:   MatGetSize(Q,&ldq,NULL);
 80:   MatDenseGetArray(ctx->A,&pv);
 81:   MatDenseGetArray(Q,&q);
 82:   BVMultInPlace_BLAS_Private(V,V->n,V->k-V->l,ldq,s-V->l,e-V->l,pv+(V->nc+V->l)*V->n,q+V->l*ldq+V->l,PETSC_FALSE);
 83:   MatDenseRestoreArray(Q,&q);
 84:   MatDenseRestoreArray(ctx->A,&pv);
 85:   return(0);
 86: }

 90: PetscErrorCode BVMultInPlaceTranspose_Mat(BV V,Mat Q,PetscInt s,PetscInt e)
 91: {
 93:   BV_MAT         *ctx = (BV_MAT*)V->data;
 94:   PetscScalar    *pv,*q;
 95:   PetscInt       ldq;

 98:   MatGetSize(Q,&ldq,NULL);
 99:   MatDenseGetArray(ctx->A,&pv);
100:   MatDenseGetArray(Q,&q);
101:   BVMultInPlace_BLAS_Private(V,V->n,V->k-V->l,ldq,s-V->l,e-V->l,pv+(V->nc+V->l)*V->n,q+V->l*ldq+V->l,PETSC_TRUE);
102:   MatDenseRestoreArray(Q,&q);
103:   MatDenseRestoreArray(ctx->A,&pv);
104:   return(0);
105: }

109: PetscErrorCode BVAXPY_Mat(BV Y,PetscScalar alpha,BV X)
110: {
112:   BV_MAT         *x = (BV_MAT*)X->data,*y = (BV_MAT*)Y->data;
113:   PetscScalar    *px,*py;

116:   MatDenseGetArray(x->A,&px);
117:   MatDenseGetArray(y->A,&py);
118:   BVAXPY_BLAS_Private(Y,Y->n,Y->k-Y->l,alpha,px+(X->nc+X->l)*X->n,py+(Y->nc+Y->l)*Y->n);
119:   MatDenseRestoreArray(x->A,&px);
120:   MatDenseRestoreArray(y->A,&py);
121:   return(0);
122: }

126: PetscErrorCode BVDot_Mat(BV X,BV Y,Mat M)
127: {
129:   BV_MAT         *x = (BV_MAT*)X->data,*y = (BV_MAT*)Y->data;
130:   PetscScalar    *px,*py,*m;
131:   PetscInt       ldm;

134:   MatGetSize(M,&ldm,NULL);
135:   MatDenseGetArray(x->A,&px);
136:   MatDenseGetArray(y->A,&py);
137:   MatDenseGetArray(M,&m);
138:   BVDot_BLAS_Private(X,Y->k-Y->l,X->k-X->l,X->n,ldm,py+(Y->nc+Y->l)*Y->n,px+(X->nc+X->l)*X->n,m+X->l*ldm+Y->l,x->mpi);
139:   MatDenseRestoreArray(M,&m);
140:   MatDenseRestoreArray(x->A,&px);
141:   MatDenseRestoreArray(y->A,&py);
142:   return(0);
143: }

147: PetscErrorCode BVDotVec_Mat(BV X,Vec y,PetscScalar *m)
148: {
150:   BV_MAT         *x = (BV_MAT*)X->data;
151:   PetscScalar    *px,*py;
152:   Vec            z = y;

155:   if (X->matrix) {
156:     BV_IPMatMult(X,y);
157:     z = X->Bx;
158:   }
159:   MatDenseGetArray(x->A,&px);
160:   VecGetArray(z,&py);
161:   BVDotVec_BLAS_Private(X,X->n,X->k-X->l,px+(X->nc+X->l)*X->n,py,m,x->mpi);
162:   VecRestoreArray(z,&py);
163:   MatDenseRestoreArray(x->A,&px);
164:   return(0);
165: }

169: PetscErrorCode BVScale_Mat(BV bv,PetscInt j,PetscScalar alpha)
170: {
172:   BV_MAT         *ctx = (BV_MAT*)bv->data;
173:   PetscScalar    *array;

176:   MatDenseGetArray(ctx->A,&array);
177:   if (j<0) {
178:     BVScale_BLAS_Private(bv,(bv->k-bv->l)*bv->n,array+(bv->nc+bv->l)*bv->n,alpha);
179:   } else {
180:     BVScale_BLAS_Private(bv,bv->n,array+(bv->nc+j)*bv->n,alpha);
181:   }
182:   MatDenseRestoreArray(ctx->A,&array);
183:   return(0);
184: }

188: PetscErrorCode BVNorm_Mat(BV bv,PetscInt j,NormType type,PetscReal *val)
189: {
191:   BV_MAT         *ctx = (BV_MAT*)bv->data;
192:   PetscScalar    *array;

195:   MatDenseGetArray(ctx->A,&array);
196:   if (j<0) {
197:     BVNorm_LAPACK_Private(bv,bv->n,bv->k-bv->l,array+(bv->nc+bv->l)*bv->n,type,val,ctx->mpi);
198:   } else {
199:     BVNorm_LAPACK_Private(bv,bv->n,1,array+(bv->nc+j)*bv->n,type,val,ctx->mpi);
200:   }
201:   MatDenseRestoreArray(ctx->A,&array);
202:   return(0);
203: }

207: PetscErrorCode BVOrthogonalize_Mat(BV V,Mat R)
208: {
210:   BV_MAT         *ctx = (BV_MAT*)V->data;
211:   PetscScalar    *pv,*r=NULL;

214:   if (R) { MatDenseGetArray(R,&r); }
215:   MatDenseGetArray(ctx->A,&pv);
216:   BVOrthogonalize_LAPACK_Private(V,V->n,V->k,pv+V->nc*V->n,r,ctx->mpi);
217:   MatDenseRestoreArray(ctx->A,&pv);
218:   if (R) { MatDenseRestoreArray(R,&r); }
219:   return(0);
220: }

224: PetscErrorCode BVMatMult_Mat(BV V,Mat A,BV W)
225: {
227:   BV_MAT         *v = (BV_MAT*)V->data,*w = (BV_MAT*)W->data;
228:   PetscScalar    *pv,*pw;
229:   PetscInt       j;

232:   MatDenseGetArray(v->A,&pv);
233:   MatDenseGetArray(w->A,&pw);
234:   for (j=0;j<V->k-V->l;j++) {
235:     VecPlaceArray(V->cv[1],pv+(V->nc+V->l+j)*V->n);
236:     VecPlaceArray(W->cv[1],pw+(W->nc+W->l+j)*W->n);
237:     MatMult(A,V->cv[1],W->cv[1]);
238:     VecResetArray(V->cv[1]);
239:     VecResetArray(W->cv[1]);
240:   }
241:   MatDenseRestoreArray(v->A,&pv);
242:   MatDenseRestoreArray(w->A,&pw);
243:   return(0);
244: }

248: PetscErrorCode BVCopy_Mat(BV V,BV W)
249: {
251:   BV_MAT         *v = (BV_MAT*)V->data,*w = (BV_MAT*)W->data;
252:   PetscScalar    *pv,*pw,*pvc,*pwc;

255:   MatDenseGetArray(v->A,&pv);
256:   MatDenseGetArray(w->A,&pw);
257:   pvc = pv+(V->nc+V->l)*V->n;
258:   pwc = pw+(W->nc+W->l)*W->n;
259:   PetscMemcpy(pwc,pvc,(V->k-V->l)*V->n*sizeof(PetscScalar));
260:   MatDenseRestoreArray(v->A,&pv);
261:   MatDenseRestoreArray(w->A,&pw);
262:   return(0);
263: }

267: PetscErrorCode BVResize_Mat(BV bv,PetscInt m,PetscBool copy)
268: {
270:   BV_MAT         *ctx = (BV_MAT*)bv->data;
271:   PetscScalar    *pA,*pnew;
272:   Mat            A;
273:   char           str[50];

276:   MatCreateDense(PetscObjectComm((PetscObject)bv->t),bv->n,PETSC_DECIDE,PETSC_DECIDE,m,NULL,&A);
277:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
278:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
279:   PetscLogObjectParent((PetscObject)bv,(PetscObject)A);
280:   if (((PetscObject)bv)->name) {
281:     PetscSNPrintf(str,50,"%s_0",((PetscObject)bv)->name);
282:     PetscObjectSetName((PetscObject)A,str);
283:   }
284:   if (copy) {
285:     MatDenseGetArray(ctx->A,&pA);
286:     MatDenseGetArray(A,&pnew);
287:     PetscMemcpy(pnew,pA,PetscMin(m,bv->m)*bv->n*sizeof(PetscScalar));
288:     MatDenseRestoreArray(ctx->A,&pA);
289:     MatDenseRestoreArray(A,&pnew);
290:   }
291:   MatDestroy(&ctx->A);
292:   ctx->A = A;
293:   return(0);
294: }

298: PetscErrorCode BVGetColumn_Mat(BV bv,PetscInt j,Vec *v)
299: {
301:   BV_MAT         *ctx = (BV_MAT*)bv->data;
302:   PetscScalar    *pA;
303:   PetscInt       l;

306:   l = BVAvailableVec;
307:   MatDenseGetArray(ctx->A,&pA);
308:   VecPlaceArray(bv->cv[l],pA+(bv->nc+j)*bv->n);
309:   return(0);
310: }

314: PetscErrorCode BVRestoreColumn_Mat(BV bv,PetscInt j,Vec *v)
315: {
317:   BV_MAT         *ctx = (BV_MAT*)bv->data;
318:   PetscScalar    *pA;
319:   PetscInt       l;

322:   l = (j==bv->ci[0])? 0: 1;
323:   VecResetArray(bv->cv[l]);
324:   MatDenseRestoreArray(ctx->A,&pA);
325:   return(0);
326: }

330: PetscErrorCode BVGetArray_Mat(BV bv,PetscScalar **a)
331: {
333:   BV_MAT         *ctx = (BV_MAT*)bv->data;

336:   MatDenseGetArray(ctx->A,a);
337:   return(0);
338: }

342: PetscErrorCode BVRestoreArray_Mat(BV bv,PetscScalar **a)
343: {
345:   BV_MAT         *ctx = (BV_MAT*)bv->data;

348:   if (a) { MatDenseRestoreArray(ctx->A,a); }
349:   return(0);
350: }

354: PetscErrorCode BVView_Mat(BV bv,PetscViewer viewer)
355: {
356:   PetscErrorCode    ierr;
357:   BV_MAT            *ctx = (BV_MAT*)bv->data;
358:   PetscViewerFormat format;
359:   PetscBool         isascii;

362:   MatView(ctx->A,viewer);
363:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii);
364:   if (isascii) {
365:     PetscViewerGetFormat(viewer,&format);
366:     if (format == PETSC_VIEWER_ASCII_MATLAB) {
367:       PetscViewerASCIIPrintf(viewer,"%s=%s;clear %s\n",((PetscObject)bv)->name,((PetscObject)ctx->A)->name,((PetscObject)ctx->A)->name);
368:       if (bv->nc) {
369:         PetscViewerASCIIPrintf(viewer,"%s=%s(:,%D:end);\n",((PetscObject)bv)->name,((PetscObject)bv)->name,bv->nc+1);
370:       }
371:     }
372:   }
373:   return(0);
374: }

378: PetscErrorCode BVDestroy_Mat(BV bv)
379: {
381:   BV_MAT         *ctx = (BV_MAT*)bv->data;

384:   MatDestroy(&ctx->A);
385:   VecDestroy(&bv->cv[0]);
386:   VecDestroy(&bv->cv[1]);
387:   PetscFree(bv->data);
388:   return(0);
389: }

393: PETSC_EXTERN PetscErrorCode BVCreate_Mat(BV bv)
394: {
396:   BV_MAT         *ctx;
397:   PetscInt       nloc,bs;
398:   PetscBool      seq;
399:   char           str[50];

402:   PetscNewLog(bv,&ctx);
403:   bv->data = (void*)ctx;

405:   PetscObjectTypeCompare((PetscObject)bv->t,VECMPI,&ctx->mpi);
406:   if (!ctx->mpi) {
407:     PetscObjectTypeCompare((PetscObject)bv->t,VECSEQ,&seq);
408:     if (!seq) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot create a BVMAT from a non-standard template vector");
409:   }

411:   VecGetLocalSize(bv->t,&nloc);
412:   VecGetBlockSize(bv->t,&bs);

414:   MatCreateDense(PetscObjectComm((PetscObject)bv->t),nloc,PETSC_DECIDE,PETSC_DECIDE,bv->m,NULL,&ctx->A);
415:   MatAssemblyBegin(ctx->A,MAT_FINAL_ASSEMBLY);
416:   MatAssemblyEnd(ctx->A,MAT_FINAL_ASSEMBLY);
417:   PetscLogObjectParent((PetscObject)bv,(PetscObject)ctx->A);
418:   if (((PetscObject)bv)->name) {
419:     PetscSNPrintf(str,50,"%s_0",((PetscObject)bv)->name);
420:     PetscObjectSetName((PetscObject)ctx->A,str);
421:   }

423:   if (ctx->mpi) {
424:     VecCreateMPIWithArray(PetscObjectComm((PetscObject)bv->t),bs,nloc,PETSC_DECIDE,NULL,&bv->cv[0]);
425:     VecCreateMPIWithArray(PetscObjectComm((PetscObject)bv->t),bs,nloc,PETSC_DECIDE,NULL,&bv->cv[1]);
426:   } else {
427:     VecCreateSeqWithArray(PetscObjectComm((PetscObject)bv->t),bs,nloc,NULL,&bv->cv[0]);
428:     VecCreateSeqWithArray(PetscObjectComm((PetscObject)bv->t),bs,nloc,NULL,&bv->cv[1]);
429:   }

431:   bv->ops->mult             = BVMult_Mat;
432:   bv->ops->multvec          = BVMultVec_Mat;
433:   bv->ops->multinplace      = BVMultInPlace_Mat;
434:   bv->ops->multinplacetrans = BVMultInPlaceTranspose_Mat;
435:   bv->ops->axpy             = BVAXPY_Mat;
436:   bv->ops->dot              = BVDot_Mat;
437:   bv->ops->dotvec           = BVDotVec_Mat;
438:   bv->ops->scale            = BVScale_Mat;
439:   bv->ops->norm             = BVNorm_Mat;
440:   /*bv->ops->orthogonalize    = BVOrthogonalize_Mat;*/
441:   bv->ops->matmult          = BVMatMult_Mat;
442:   bv->ops->copy             = BVCopy_Mat;
443:   bv->ops->resize           = BVResize_Mat;
444:   bv->ops->getcolumn        = BVGetColumn_Mat;
445:   bv->ops->restorecolumn    = BVRestoreColumn_Mat;
446:   bv->ops->getarray         = BVGetArray_Mat;
447:   bv->ops->restorearray     = BVRestoreArray_Mat;
448:   bv->ops->destroy          = BVDestroy_Mat;
449:   if (!ctx->mpi) bv->ops->view = BVView_Mat;
450:   return(0);
451: }