Actual source code: partition.c

  1: #define PETSCMAT_DLL

 3:  #include include/private/matimpl.h

  5: /* Logging support */
  6: PetscCookie  MAT_PARTITIONING_COOKIE = 0;

  8: /*
  9:    Simplest partitioning, keeps the current partitioning.
 10: */
 13: static PetscErrorCode MatPartitioningApply_Current(MatPartitioning part,IS *partitioning)
 14: {
 16:   PetscInt       m;
 17:   PetscMPIInt    rank,size;

 20:   MPI_Comm_size(((PetscObject)part)->comm,&size);
 21:   if (part->n != size) {
 22:     SETERRQ(PETSC_ERR_SUP,"This is the DEFAULT NO-OP partitioner, it currently only supports one domain per processor\nuse -matpartitioning_type parmetis or chaco or scotch for more than one subdomain per processor");
 23:   }
 24:   MPI_Comm_rank(((PetscObject)part)->comm,&rank);

 26:   MatGetLocalSize(part->adj,&m,PETSC_NULL);
 27:   ISCreateStride(((PetscObject)part)->comm,m,rank,0,partitioning);
 28:   return(0);
 29: }

 33: static PetscErrorCode MatPartitioningApply_Square(MatPartitioning part,IS *partitioning)
 34: {
 36:   PetscInt       cell,n,N,p,rstart,rend,*color;
 37:   PetscMPIInt    size;

 40:   MPI_Comm_size(((PetscObject)part)->comm,&size);
 41:   if (part->n != size) {
 42:     SETERRQ(PETSC_ERR_SUP,"Currently only supports one domain per processor");
 43:   }
 44:   p = (PetscInt)sqrt((double)part->n);
 45:   if (p*p != part->n) {
 46:     SETERRQ(PETSC_ERR_SUP,"Square partitioning requires \"perfect square\" number of domains");
 47:   }
 48:   MatGetSize(part->adj,&N,PETSC_NULL);
 49:   n = (PetscInt)sqrt((double)N);
 50:   if (n*n != N) {  /* This condition is NECESSARY, but NOT SUFFICIENT in order to the domain be square */
 51:     SETERRQ(PETSC_ERR_SUP,"Square partitioning requires square domain");
 52:   }
 53:   if (n%p != 0) {
 54:     SETERRQ(PETSC_ERR_SUP,"Square partitioning requires p to divide n");
 55:   }
 56:   MatGetOwnershipRange(part->adj,&rstart,&rend);
 57:   PetscMalloc((rend-rstart)*sizeof(PetscInt),&color);
 58:   /* for (int cell=rstart; cell<rend; cell++) { color[cell-rstart] = ((cell%n) < (n/2)) + 2 * ((cell/n) < (n/2)); } */
 59:   for (cell=rstart; cell<rend; cell++) {
 60:     color[cell-rstart] = ((cell%n) / (n/p)) + p * ((cell/n) / (n/p));
 61:   }
 62:   ISCreateGeneral(((PetscObject)part)->comm,rend-rstart,color,partitioning);
 63:   PetscFree(color);

 65:   return(0);
 66: }

 71: PetscErrorCode  MatPartitioningCreate_Current(MatPartitioning part)
 72: {
 74:   part->ops->apply   = MatPartitioningApply_Current;
 75:   part->ops->view    = 0;
 76:   part->ops->destroy = 0;
 77:   return(0);
 78: }

 84: PetscErrorCode  MatPartitioningCreate_Square(MatPartitioning part)
 85: {
 87:   part->ops->apply   = MatPartitioningApply_Square;
 88:   part->ops->view    = 0;
 89:   part->ops->destroy = 0;
 90:   return(0);
 91: }

 94: /* ===========================================================================================*/

 96:  #include petscsys.h

 98: PetscFList MatPartitioningList = 0;
 99: PetscTruth MatPartitioningRegisterAllCalled = PETSC_FALSE;


104: PetscErrorCode  MatPartitioningRegister(const char sname[],const char path[],const char name[],PetscErrorCode (*function)(MatPartitioning))
105: {
107:   char fullname[PETSC_MAX_PATH_LEN];

110:   PetscFListConcat(path,name,fullname);
111:   PetscFListAdd(&MatPartitioningList,sname,fullname,(void (*)(void))function);
112:   return(0);
113: }

117: /*@C
118:    MatPartitioningRegisterDestroy - Frees the list of partitioning routines.

120:   Not Collective

122:   Level: developer

124: .keywords: matrix, register, destroy

126: .seealso: MatPartitioningRegisterDynamic(), MatPartitioningRegisterAll()
127: @*/
128: PetscErrorCode  MatPartitioningRegisterDestroy(void)
129: {

133:   PetscFListDestroy(&MatPartitioningList);
134:   return(0);
135: }

139: /*@C
140:    MatPartitioningGetType - Gets the Partitioning method type and name (as a string) 
141:         from the partitioning context.

143:    Not collective

145:    Input Parameter:
146: .  partitioning - the partitioning context

148:    Output Parameter:
149: .  type - partitioner type

151:    Level: intermediate

153:    Not Collective

155: .keywords: Partitioning, get, method, name, type
156: @*/
157: PetscErrorCode  MatPartitioningGetType(MatPartitioning partitioning,MatPartitioningType *type)
158: {
160:   *type = ((PetscObject)partitioning)->type_name;
161:   return(0);
162: }

166: /*@C
167:    MatPartitioningSetNParts - Set how many partitions need to be created;
168:         by default this is one per processor. Certain partitioning schemes may
169:         in fact only support that option.

171:    Not collective

173:    Input Parameter:
174: .  partitioning - the partitioning context
175: .  n - the number of partitions

177:    Level: intermediate

179:    Not Collective

181: .keywords: Partitioning, set

183: .seealso: MatPartitioningCreate(), MatPartitioningApply()
184: @*/
185: PetscErrorCode  MatPartitioningSetNParts(MatPartitioning part,PetscInt n)
186: {
188:   part->n = n;
189:   return(0);
190: }

194: /*@
195:    MatPartitioningApply - Gets a partitioning for a matrix.

197:    Collective on Mat

199:    Input Parameters:
200: .  matp - the matrix partitioning object

202:    Output Parameters:
203: .   partitioning - the partitioning. For each local node this tells the processor
204:                    number that that node is assigned to.

206:    Options Database Keys:
207:    To specify the partitioning through the options database, use one of
208:    the following 
209: $    -mat_partitioning_type parmetis, -mat_partitioning current
210:    To see the partitioning result
211: $    -mat_partitioning_view

213:    Level: beginner

215:    The user can define additional partitionings; see MatPartitioningRegisterDynamic().

217: .keywords: matrix, get, partitioning

219: .seealso:  MatPartitioningRegisterDynamic(), MatPartitioningCreate(),
220:            MatPartitioningDestroy(), MatPartitioningSetAdjacency(), ISPartitioningToNumbering(),
221:            ISPartitioningCount()
222: @*/
223: PetscErrorCode  MatPartitioningApply(MatPartitioning matp,IS *partitioning)
224: {
226:   PetscTruth flag;

231:   if (!matp->adj->assembled) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
232:   if (matp->adj->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix");
233:   if (!matp->ops->apply) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Must set type with MatPartitioningSetFromOptions() or MatPartitioningSetType()");
235:   (*matp->ops->apply)(matp,partitioning);

238:   PetscOptionsHasName(PETSC_NULL,"-mat_partitioning_view",&flag);
239:   if (flag) {
240:     PetscViewer viewer;
241:     PetscViewerASCIIGetStdout(((PetscObject)matp)->comm,&viewer);
242:     MatPartitioningView(matp,viewer);
243:     ISView(*partitioning,viewer);
244:   }
245:   return(0);
246: }
247: 
250: /*@
251:    MatPartitioningSetAdjacency - Sets the adjacency graph (matrix) of the thing to be
252:       partitioned.

254:    Collective on MatPartitioning and Mat

256:    Input Parameters:
257: +  part - the partitioning context
258: -  adj - the adjacency matrix

260:    Level: beginner

262: .keywords: Partitioning, adjacency

264: .seealso: MatPartitioningCreate()
265: @*/
266: PetscErrorCode  MatPartitioningSetAdjacency(MatPartitioning part,Mat adj)
267: {
271:   part->adj = adj;
272:   return(0);
273: }

277: /*@
278:    MatPartitioningDestroy - Destroys the partitioning context.

280:    Collective on Partitioning

282:    Input Parameters:
283: .  part - the partitioning context

285:    Level: beginner

287: .keywords: Partitioning, destroy, context

289: .seealso: MatPartitioningCreate()
290: @*/
291: PetscErrorCode  MatPartitioningDestroy(MatPartitioning part)
292: {

297:   if (--((PetscObject)part)->refct > 0) return(0);

299:   if (part->ops->destroy) {
300:     (*part->ops->destroy)(part);
301:   }
302:   PetscFree(part->vertex_weights);
303:   PetscFree(part->part_weights);
304:   PetscHeaderDestroy(part);
305:   return(0);
306: }

310: /*@C
311:    MatPartitioningSetVertexWeights - Sets the weights for vertices for a partitioning.

313:    Collective on Partitioning

315:    Input Parameters:
316: +  part - the partitioning context
317: -  weights - the weights

319:    Level: beginner

321:    Notes:
322:       The array weights is freed by PETSc so the user should not free the array. In C/C++
323:    the array must be obtained with a call to PetscMalloc(), not malloc().

325: .keywords: Partitioning, destroy, context

327: .seealso: MatPartitioningCreate(), MatPartitioningSetType(), MatPartitioningSetPartitionWeights()
328: @*/
329: PetscErrorCode  MatPartitioningSetVertexWeights(MatPartitioning part,const PetscInt weights[])
330: {


336:   PetscFree(part->vertex_weights);
337:   part->vertex_weights = (PetscInt*)weights;
338:   return(0);
339: }

343: /*@C
344:    MatPartitioningSetPartitionWeights - Sets the weights for each partition.

346:    Collective on Partitioning

348:    Input Parameters:
349: +  part - the partitioning context
350: -  weights - the weights

352:    Level: beginner

354:    Notes:
355:       The array weights is freed by PETSc so the user should not free the array. In C/C++
356:    the array must be obtained with a call to PetscMalloc(), not malloc().

358: .keywords: Partitioning, destroy, context

360: .seealso: MatPartitioningCreate(), MatPartitioningSetType(), MatPartitioningSetVertexWeights()
361: @*/
362: PetscErrorCode  MatPartitioningSetPartitionWeights(MatPartitioning part,const PetscReal weights[])
363: {


369:   PetscFree(part->part_weights);
370:   part->part_weights = (PetscReal*)weights;
371:   return(0);
372: }

376: /*@
377:    MatPartitioningCreate - Creates a partitioning context.

379:    Collective on MPI_Comm

381:    Input Parameter:
382: .   comm - MPI communicator 

384:    Output Parameter:
385: .  newp - location to put the context

387:    Level: beginner

389: .keywords: Partitioning, create, context

391: .seealso: MatPartitioningSetType(), MatPartitioningApply(), MatPartitioningDestroy(),
392:           MatPartitioningSetAdjacency()

394: @*/
395: PetscErrorCode  MatPartitioningCreate(MPI_Comm comm,MatPartitioning *newp)
396: {
397:   MatPartitioning part;
398:   PetscErrorCode  ierr;
399:   PetscMPIInt     size;

402:   *newp          = 0;

404:   PetscHeaderCreate(part,_p_MatPartitioning,struct _MatPartitioningOps,MAT_PARTITIONING_COOKIE,-1,"MatPartitioning",comm,MatPartitioningDestroy,
405:                     MatPartitioningView);
406:   part->vertex_weights = PETSC_NULL;
407:   part->part_weights   = PETSC_NULL;
408:   MPI_Comm_size(comm,&size);
409:   part->n = (PetscInt)size;

411:   *newp = part;
412:   return(0);
413: }

417: /*@C 
418:    MatPartitioningView - Prints the partitioning data structure.

420:    Collective on MatPartitioning

422:    Input Parameters:
423: .  part - the partitioning context
424: .  viewer - optional visualization context

426:    Level: intermediate

428:    Note:
429:    The available visualization contexts include
430: +     PETSC_VIEWER_STDOUT_SELF - standard output (default)
431: -     PETSC_VIEWER_STDOUT_WORLD - synchronized standard
432:          output where only the first processor opens
433:          the file.  All other processors send their 
434:          data to the first processor to print. 

436:    The user can open alternative visualization contexts with
437: .     PetscViewerASCIIOpen() - output to a specified file

439: .keywords: Partitioning, view

441: .seealso: PetscViewerASCIIOpen()
442: @*/
443: PetscErrorCode  MatPartitioningView(MatPartitioning part,PetscViewer viewer)
444: {
445:   PetscErrorCode      ierr;
446:   PetscTruth          iascii;
447:   MatPartitioningType name;

451:   if (!viewer) {
452:     PetscViewerASCIIGetStdout(((PetscObject)part)->comm,&viewer);
453:   }

457:   PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);
458:   if (iascii) {
459:     MatPartitioningGetType(part,&name);
460:     PetscViewerASCIIPrintf(viewer,"MatPartitioning Object: %s\n",name);
461:     if (part->vertex_weights) {
462:       PetscViewerASCIIPrintf(viewer,"  Using vertex weights\n");
463:     }
464:   } else {
465:     SETERRQ1(PETSC_ERR_SUP,"Viewer type %s not supported for this MatParitioning",((PetscObject)viewer)->type_name);
466:   }

468:   if (part->ops->view) {
469:     PetscViewerASCIIPushTab(viewer);
470:     (*part->ops->view)(part,viewer);
471:     PetscViewerASCIIPopTab(viewer);
472:   }

474:   return(0);
475: }

479: /*@C
480:    MatPartitioningSetType - Sets the type of partitioner to use

482:    Collective on MatPartitioning

484:    Input Parameter:
485: .  part - the partitioning context.
486: .  type - a known method

488:    Options Database Command:
489: $  -mat_partitioning_type  <type>
490: $      Use -help for a list of available methods
491: $      (for instance, parmetis)

493:    Level: intermediate

495: .keywords: partitioning, set, method, type

497: .seealso: MatPartitioningCreate(), MatPartitioningApply(), MatPartitioningType

499: @*/
500: PetscErrorCode  MatPartitioningSetType(MatPartitioning part,MatPartitioningType type)
501: {
502:   PetscErrorCode ierr,(*r)(MatPartitioning);
503:   PetscTruth match;


509:   PetscTypeCompare((PetscObject)part,type,&match);
510:   if (match) return(0);

512:   if (part->setupcalled) {
513:      (*part->ops->destroy)(part);
514:     part->data        = 0;
515:     part->setupcalled = 0;
516:   }

518:    PetscFListFind(MatPartitioningList,((PetscObject)part)->comm,type,(void (**)(void)) &r);

520:   if (!r) {SETERRQ1(PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown partitioning type %s",type);}

522:   part->ops->destroy      = (PetscErrorCode (*)(MatPartitioning)) 0;
523:   part->ops->view         = (PetscErrorCode (*)(MatPartitioning,PetscViewer)) 0;
524:   (*r)(part);

526:   PetscStrfree(((PetscObject)part)->type_name);
527:   PetscStrallocpy(type,&((PetscObject)part)->type_name);
528:   return(0);
529: }

533: /*@
534:    MatPartitioningSetFromOptions - Sets various partitioning options from the 
535:         options database.

537:    Collective on MatPartitioning

539:    Input Parameter:
540: .  part - the partitioning context.

542:    Options Database Command:
543: $  -mat_partitioning_type  <type>
544: $      Use -help for a list of available methods
545: $      (for instance, parmetis)

547:    Level: beginner

549: .keywords: partitioning, set, method, type
550: @*/
551: PetscErrorCode  MatPartitioningSetFromOptions(MatPartitioning part)
552: {
554:   PetscTruth flag;
555:   char       type[256];
556:   const char *def;

559:   if (!MatPartitioningRegisterAllCalled){ MatPartitioningRegisterAll(0);}
560:   PetscOptionsBegin(((PetscObject)part)->comm,((PetscObject)part)->prefix,"Partitioning options","MatOrderings");
561:     if (!((PetscObject)part)->type_name) {
562: #if defined(PETSC_HAVE_PARMETIS)
563:       def = MAT_PARTITIONING_PARMETIS;
564: #else
565:       def = MAT_PARTITIONING_CURRENT;
566: #endif
567:     } else {
568:       def = ((PetscObject)part)->type_name;
569:     }
570:     PetscOptionsList("-mat_partitioning_type","Type of partitioner","MatPartitioningSetType",MatPartitioningList,def,type,256,&flag);
571:     if (flag) {
572:       MatPartitioningSetType(part,type);
573:     }
574:     /*
575:       Set the type if it was never set.
576:     */
577:     if (!((PetscObject)part)->type_name) {
578:       MatPartitioningSetType(part,def);
579:     }

581:     if (part->ops->setfromoptions) {
582:       (*part->ops->setfromoptions)(part);
583:     }
584:   PetscOptionsEnd();
585:   return(0);
586: }