Date: 2016-07-24T16:58:23+00:00

Actual source code: scotch.c
petsc-3.7.3 2016-07-24
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      2: #include <../src/mat/impls/adj/mpi/mpiadj.h>       /*I "petscmat.h" I*/

      4: EXTERN_C_BEGIN
      5: #include <ptscotch.h>
      6: EXTERN_C_END

      8: typedef struct {
      9:   double     imbalance;
     10:   SCOTCH_Num strategy;
     11: } MatPartitioning_PTScotch;

     15: /*@
     16:    MatPartitioningPTScotchSetImbalance - Sets the value of the load imbalance
     17:    ratio to be used during strategy selection.

     19:    Collective on MatPartitioning

     21:    Input Parameters:
     22: +  part - the partitioning context
     23: -  imb  - the load imbalance ratio

     25:    Options Database:
     26: .  -mat_partitioning_ptscotch_imbalance <imb>

     28:    Note:
     29:    Must be in the range [0,1]. The default value is 0.01.

     31:    Level: advanced

     33: .seealso: MatPartitioningPTScotchSetStrategy(), MatPartitioningPTScotchGetImbalance()
     34: @*/
     35: PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning part,PetscReal imb)
     36: {

     42:   PetscTryMethod(part,"MatPartitioningPTScotchSetImbalance_C",(MatPartitioning,PetscReal),(part,imb));
     43:   return(0);
     44: }

     48: PetscErrorCode MatPartitioningPTScotchSetImbalance_PTScotch(MatPartitioning part,PetscReal imb)
     49: {
     50:   MatPartitioning_PTScotch *scotch = (MatPartitioning_PTScotch*)part->data;

     53:   if (imb==PETSC_DEFAULT) scotch->imbalance = 0.01;
     54:   else {
     55:     if (imb<0.0 || imb>1.0) SETERRQ(PetscObjectComm((PetscObject)part),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of imb. Must be in range [0,1]");
     56:     scotch->imbalance = (double)imb;
     57:   }
     58:   return(0);
     59: }

     63: /*@
     64:    MatPartitioningPTScotchGetImbalance - Gets the value of the load imbalance
     65:    ratio used during strategy selection.

     67:    Not Collective

     69:    Input Parameter:
     70: .  part - the partitioning context

     72:    Output Parameter:
     73: .  imb  - the load imbalance ratio

     75:    Level: advanced

     77: .seealso: MatPartitioningPTScotchSetImbalance()
     78: @*/
     79: PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning part,PetscReal *imb)
     80: {

     86:   PetscUseMethod(part,"MatPartitioningPTScotchGetImbalance_C",(MatPartitioning,PetscReal*),(part,imb));
     87:   return(0);
     88: }

     92: PetscErrorCode MatPartitioningPTScotchGetImbalance_PTScotch(MatPartitioning part,PetscReal *imb)
     93: {
     94:   MatPartitioning_PTScotch *scotch = (MatPartitioning_PTScotch*)part->data;

     97:   *imb = scotch->imbalance;
     98:   return(0);
     99: }

    103: /*@
    104:    MatPartitioningPTScotchSetStrategy - Sets the strategy to be used in PTScotch.

    106:    Collective on MatPartitioning

    108:    Input Parameters:
    109: +  part - the partitioning context
    110: -  strategy - the strategy, one of
    111: .vb
    112:      MP_PTSCOTCH_QUALITY     - Prioritize quality over speed
    113:      MP_PTSCOTCH_SPEED       - Prioritize speed over quality
    114:      MP_PTSCOTCH_BALANCE     - Enforce load balance
    115:      MP_PTSCOTCH_SAFETY      - Avoid methods that may fail
    116:      MP_PTSCOTCH_SCALABILITY - Favor scalability as much as possible
    117: .ve

    119:    Options Database:
    120: .  -mat_partitioning_ptscotch_strategy [quality,speed,balance,safety,scalability] - strategy

    122:    Level: advanced

    124:    Notes:
    125:    The default is MP_SCOTCH_QUALITY. See the PTScotch documentation for more information.

    127: .seealso: MatPartitioningPTScotchSetImbalance(), MatPartitioningPTScotchGetStrategy()
    128: @*/
    129: PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning part,MPPTScotchStrategyType strategy)
    130: {

    136:   PetscTryMethod(part,"MatPartitioningPTScotchSetStrategy_C",(MatPartitioning,MPPTScotchStrategyType),(part,strategy));
    137:   return(0);
    138: }

    142: PetscErrorCode MatPartitioningPTScotchSetStrategy_PTScotch(MatPartitioning part,MPPTScotchStrategyType strategy)
    143: {
    144:   MatPartitioning_PTScotch *scotch = (MatPartitioning_PTScotch*)part->data;

    147:   switch (strategy) {
    148:   case MP_PTSCOTCH_QUALITY:     scotch->strategy = SCOTCH_STRATQUALITY; break;
    149:   case MP_PTSCOTCH_SPEED:       scotch->strategy = SCOTCH_STRATSPEED; break;
    150:   case MP_PTSCOTCH_BALANCE:     scotch->strategy = SCOTCH_STRATBALANCE; break;
    151:   case MP_PTSCOTCH_SAFETY:      scotch->strategy = SCOTCH_STRATSAFETY; break;
    152:   case MP_PTSCOTCH_SCALABILITY: scotch->strategy = SCOTCH_STRATSCALABILITY; break;
    153:   }
    154:   return(0);
    155: }

    159: /*@
    160:    MatPartitioningPTScotchGetStrategy - Gets the strategy used in PTScotch.

    162:    Not Collective

    164:    Input Parameter:
    165: .  part - the partitioning context

    167:    Output Parameter:
    168: .  strategy - the strategy

    170:    Level: advanced

    172: .seealso: MatPartitioningPTScotchSetStrategy()
    173: @*/
    174: PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning part,MPPTScotchStrategyType *strategy)
    175: {

    181:   PetscUseMethod(part,"MatPartitioningPTScotchGetStrategy_C",(MatPartitioning,MPPTScotchStrategyType*),(part,strategy));
    182:   return(0);
    183: }

    187: PetscErrorCode MatPartitioningPTScotchGetStrategy_PTScotch(MatPartitioning part,MPPTScotchStrategyType *strategy)
    188: {
    189:   MatPartitioning_PTScotch *scotch = (MatPartitioning_PTScotch*)part->data;

    192:   switch (scotch->strategy) {
    193:   case SCOTCH_STRATQUALITY:     *strategy = MP_PTSCOTCH_QUALITY; break;
    194:   case SCOTCH_STRATSPEED:       *strategy = MP_PTSCOTCH_SPEED; break;
    195:   case SCOTCH_STRATBALANCE:     *strategy = MP_PTSCOTCH_BALANCE; break;
    196:   case SCOTCH_STRATSAFETY:      *strategy = MP_PTSCOTCH_SAFETY; break;
    197:   case SCOTCH_STRATSCALABILITY: *strategy = MP_PTSCOTCH_SCALABILITY; break;
    198:   }
    199:   return(0);
    200: }

    204: PetscErrorCode MatPartitioningView_PTScotch(MatPartitioning part, PetscViewer viewer)
    205: {
    206:   MatPartitioning_PTScotch *scotch = (MatPartitioning_PTScotch*)part->data;
    207:   PetscErrorCode           ierr;
    208:   PetscBool                isascii;
    209:   const char               *str=0;

    212:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii);
    213:   if (isascii) {
    214:     switch (scotch->strategy) {
    215:     case SCOTCH_STRATQUALITY:     str = "Prioritize quality over speed"; break;
    216:     case SCOTCH_STRATSPEED:       str = "Prioritize speed over quality"; break;
    217:     case SCOTCH_STRATBALANCE:     str = "Enforce load balance"; break;
    218:     case SCOTCH_STRATSAFETY:      str = "Avoid methods that may fail"; break;
    219:     case SCOTCH_STRATSCALABILITY: str = "Favor scalability as much as possible"; break;
    220:     }
    221:     PetscViewerASCIIPrintf(viewer,"  Strategy=%s\n",str);
    222:     PetscViewerASCIIPrintf(viewer,"  Load imbalance ratio=%g\n",scotch->imbalance);
    223:   }
    224:   return(0);
    225: }

    229: PetscErrorCode MatPartitioningSetFromOptions_PTScotch(PetscOptionItems *PetscOptionsObject,MatPartitioning part)
    230: {
    231:   PetscErrorCode           ierr;
    232:   PetscBool                flag;
    233:   PetscReal                r;
    234:   MatPartitioning_PTScotch *scotch = (MatPartitioning_PTScotch*)part->data;
    235:   MPPTScotchStrategyType   strat;

    238:   MatPartitioningPTScotchGetStrategy(part,&strat);
    239:   PetscOptionsHead(PetscOptionsObject,"PTScotch partitioning options");
    240:   PetscOptionsEnum("-mat_partitioning_ptscotch_strategy","Strategy","MatPartitioningPTScotchSetStrategy",MPPTScotchStrategyTypes,(PetscEnum)strat,(PetscEnum*)&strat,&flag);
    241:   if (flag) { MatPartitioningPTScotchSetStrategy(part,strat); }
    242:   PetscOptionsReal("-mat_partitioning_ptscotch_imbalance","Load imbalance ratio","MatPartitioningPTScotchSetImbalance",scotch->imbalance,&r,&flag);
    243:   if (flag) { MatPartitioningPTScotchSetImbalance(part,r); }
    244:   PetscOptionsTail();
    245:   return(0);
    246: }

    250: PetscErrorCode MatPartitioningApply_PTScotch(MatPartitioning part,IS *partitioning)
    251: {
    252:   MatPartitioning_PTScotch *scotch = (MatPartitioning_PTScotch*)part->data;
    253:   PetscErrorCode           ierr;
    254:   PetscMPIInt              rank;
    255:   Mat                      mat  = part->adj;
    256:   Mat_MPIAdj               *adj = (Mat_MPIAdj*)mat->data;
    257:   PetscBool                flg;
    258:   PetscInt                 i,j,wgtflag=0,bs=1,nold;
    259:   PetscReal                *vwgttab,deltval;
    260:   SCOTCH_Num               *locals,*velotab,*veloloctab,*edloloctab,vertlocnbr,edgelocnbr,nparts=part->n;
    261:   SCOTCH_Arch              archdat;
    262:   SCOTCH_Dgraph            grafdat;
    263:   SCOTCH_Dmapping          mappdat;
    264:   SCOTCH_Strat             stradat;

    267:   MPI_Comm_rank(PetscObjectComm((PetscObject)part),&rank);
    268:   PetscObjectTypeCompare((PetscObject)mat,MATMPIADJ,&flg);
    269:   if (!flg) {
    270:     /* bs indicates if the converted matrix is "reduced" from the original and hence the
    271:        resulting partition results need to be stretched to match the original matrix */
    272:     nold = mat->rmap->n;
    273:     MatConvert(mat,MATMPIADJ,MAT_INITIAL_MATRIX,&mat);
    274:     bs   = nold/mat->rmap->n;
    275:     adj  = (Mat_MPIAdj*)mat->data;
    276:   }

    278:   PetscMalloc1(mat->rmap->n+1,&locals);
    279:   PetscMalloc1(nparts,&vwgttab);
    280:   PetscMalloc1(nparts,&velotab);
    281:   for (j=0; j<nparts; j++) {
    282:     if (part->part_weights) vwgttab[j] = part->part_weights[j]*nparts;
    283:     else vwgttab[j] = 1.0;
    284:   }
    285:   for (i=0; i<nparts; i++) {
    286:     deltval = PetscAbsReal(vwgttab[i]-PetscFloorReal(vwgttab[i]+0.5));
    287:     if (deltval>0.01) {
    288:       for (j=0; j<nparts; j++) vwgttab[j] /= deltval;
    289:     }
    290:   }
    291:   for (i=0; i<nparts; i++) velotab[i] = (SCOTCH_Num)(vwgttab[i] + 0.5);
    292:   PetscFree(vwgttab);

    294:   SCOTCH_dgraphInit(&grafdat,PetscObjectComm((PetscObject)part));

    296:   vertlocnbr = mat->rmap->range[rank+1] - mat->rmap->range[rank];
    297:   edgelocnbr = adj->i[vertlocnbr];
    298:   veloloctab = (!part->vertex_weights && !(wgtflag & 2)) ? part->vertex_weights : NULL;
    299:   edloloctab = (!adj->values && !(wgtflag & 1)) ? adj->values : NULL;

    301:   SCOTCH_dgraphBuild(&grafdat,0,vertlocnbr,vertlocnbr,adj->i,adj->i+1,veloloctab,
    302:                             NULL,edgelocnbr,edgelocnbr,adj->j,NULL,edloloctab);

    304: #if defined(PETSC_USE_DEBUG)
    305:   SCOTCH_dgraphCheck(&grafdat);
    306: #endif

    308:   SCOTCH_archInit(&archdat);
    309:   SCOTCH_stratInit(&stradat);
    310:   SCOTCH_stratDgraphMapBuild(&stradat,scotch->strategy,nparts,nparts,scotch->imbalance);

    312:   SCOTCH_archCmpltw(&archdat,nparts,velotab);
    313:   SCOTCH_dgraphMapInit(&grafdat,&mappdat,&archdat,locals);
    314:   SCOTCH_dgraphMapCompute(&grafdat,&mappdat,&stradat);

    316:   SCOTCH_dgraphMapExit (&grafdat,&mappdat);
    317:   SCOTCH_archExit(&archdat);
    318:   SCOTCH_stratExit(&stradat);
    319:   SCOTCH_dgraphExit(&grafdat);
    320:   PetscFree(velotab);

    322:   if (bs > 1) {
    323:     PetscInt *newlocals;
    324:     PetscMalloc1(bs*mat->rmap->n,&newlocals);
    325:     for (i=0;i<mat->rmap->n;i++) {
    326:       for (j=0;j<bs;j++) {
    327:         newlocals[bs*i+j] = locals[i];
    328:       }
    329:     }
    330:     PetscFree(locals);
    331:     ISCreateGeneral(PetscObjectComm((PetscObject)part),bs*mat->rmap->n,newlocals,PETSC_OWN_POINTER,partitioning);
    332:   } else {
    333:     ISCreateGeneral(PetscObjectComm((PetscObject)part),mat->rmap->n,locals,PETSC_OWN_POINTER,partitioning);
    334:   }

    336:   if (!flg) {
    337:     MatDestroy(&mat);
    338:   }
    339:   return(0);
    340: }

    344: PetscErrorCode MatPartitioningDestroy_PTScotch(MatPartitioning part)
    345: {
    346:   MatPartitioning_PTScotch *scotch = (MatPartitioning_PTScotch*)part->data;
    347:   PetscErrorCode           ierr;

    350:   PetscFree(scotch);
    351:   /* clear composed functions */
    352:   PetscObjectComposeFunction((PetscObject)part,"MatPartitioningPTScotchSetImbalance_C",NULL);
    353:   PetscObjectComposeFunction((PetscObject)part,"MatPartitioningPTScotchGetImbalance_C",NULL);
    354:   PetscObjectComposeFunction((PetscObject)part,"MatPartitioningPTScotchSetStrategy_C",NULL);
    355:   PetscObjectComposeFunction((PetscObject)part,"MatPartitioningPTScotchGetStrategy_C",NULL);
    356:   return(0);
    357: }

    359: /*MC
    360:    MATPARTITIONINGPTSCOTCH - Creates a partitioning context via the external package SCOTCH.

    362:    Level: beginner

    364:    Notes: See http://www.labri.fr/perso/pelegrin/scotch/

    366: .keywords: Partitioning, create, context

    368: .seealso: MatPartitioningSetType(), MatPartitioningType
    369: M*/

    373: PETSC_EXTERN PetscErrorCode MatPartitioningCreate_PTScotch(MatPartitioning part)
    374: {
    375:   PetscErrorCode           ierr;
    376:   MatPartitioning_PTScotch *scotch;

    379:   PetscNewLog(part,&scotch);
    380:   part->data = (void*)scotch;

    382:   scotch->imbalance = 0.01;
    383:   scotch->strategy  = SCOTCH_STRATQUALITY;

    385:   part->ops->apply          = MatPartitioningApply_PTScotch;
    386:   part->ops->view           = MatPartitioningView_PTScotch;
    387:   part->ops->setfromoptions = MatPartitioningSetFromOptions_PTScotch;
    388:   part->ops->destroy        = MatPartitioningDestroy_PTScotch;

    390:   PetscObjectComposeFunction((PetscObject)part,"MatPartitioningPTScotchSetImbalance_C",MatPartitioningPTScotchSetImbalance_PTScotch);
    391:   PetscObjectComposeFunction((PetscObject)part,"MatPartitioningPTScotchGetImbalance_C",MatPartitioningPTScotchGetImbalance_PTScotch);
    392:   PetscObjectComposeFunction((PetscObject)part,"MatPartitioningPTScotchSetStrategy_C",MatPartitioningPTScotchSetStrategy_PTScotch);
    393:   PetscObjectComposeFunction((PetscObject)part,"MatPartitioningPTScotchGetStrategy_C",MatPartitioningPTScotchGetStrategy_PTScotch);
    394:   return(0);
    395: }