Date: 2016-07-24T16:58:37+00:00

Actual source code: matcoloring.c
petsc-3.7.3 2016-07-24
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      1: #include <petsc/private/matimpl.h>      /*I "petscmat.h"  I*/

      3: PetscFunctionList MatColoringList              = 0;
      4: PetscBool         MatColoringRegisterAllCalled = PETSC_FALSE;
      5: const char *const MatColoringWeightTypes[] = {"RANDOM","LEXICAL","LF","SL","MatColoringWeightType","MAT_COLORING_WEIGHT_",0};

      7: PETSC_EXTERN PetscErrorCode MatColoringTestValid(MatColoring,ISColoring);

     11: /*@C
     12:    MatColoringRegister - Adds a new sparse matrix coloring to the  matrix package.

     14:    Not Collective

     16:    Input Parameters:
     17: +  sname - name of Coloring (for example MATCOLORINGSL)
     18: -  function - function pointer that creates the coloring

     20:    Level: developer

     22:    Sample usage:
     23: .vb
     24:    MatColoringRegister("my_color",MyColor);
     25: .ve

     27:    Then, your partitioner can be chosen with the procedural interface via
     28: $     MatColoringSetType(part,"my_color")
     29:    or at runtime via the option
     30: $     -mat_coloring_type my_color

     32: .keywords: matrix, Coloring, register

     34: .seealso: MatColoringRegisterDestroy(), MatColoringRegisterAll()
     35: @*/
     36: PetscErrorCode  MatColoringRegister(const char sname[],PetscErrorCode (*function)(MatColoring))
     37: {

     41:   PetscFunctionListAdd(&MatColoringList,sname,function);
     42:   return(0);
     43: }

     47: /*@
     48:    MatColoringCreate - Creates a matrix coloring context.

     50:    Collective on MatColoring

     52:    Input Parameters:
     53: .  comm - MPI communicator

     55:    Output Parameter:
     56: .  mcptr - the new MatColoring context

     58:    Options Database Keys:
     59: +   -mat_coloring_type - the type of coloring algorithm used
     60: .   -mat_coloring_maxcolors - the maximum number of relevant colors, all nodes not in a color are in maxcolors+1
     61: .   -mat_coloring_distance - compute a distance 1,2,... coloring.
     62: .   -mat_coloring_view - print information about the coloring and the produced index sets
     63: -   -mat_coloring_valid - debugging option that prints all coloring incompatibilities

     65:    Level: beginner

     67: .keywords: Coloring, Matrix

     69: .seealso: MatColoring, MatColoringApply()
     70: @*/
     71: PetscErrorCode MatColoringCreate(Mat m,MatColoring *mcptr)
     72: {
     73:   MatColoring    mc;

     79:   *mcptr = NULL;

     81: #if !defined(PETSC_USE_DYNAMIC_LIBRARIES)
     82:   MatInitializePackage();
     83: #endif
     84:   PetscHeaderCreate(mc, MAT_COLORING_CLASSID,"MatColoring","Matrix coloring", "MatColoring",PetscObjectComm((PetscObject)m),MatColoringDestroy, MatColoringView);
     85:   PetscObjectReference((PetscObject)m);
     86:   mc->mat       = m;
     87:   mc->dist      = 2; /* default to Jacobian computation case */
     88:   mc->maxcolors = IS_COLORING_MAX;
     89:   *mcptr        = mc;
     90:   mc->valid     = PETSC_FALSE;
     91:   mc->weight_type = MAT_COLORING_WEIGHT_RANDOM;
     92:   mc->user_weights = NULL;
     93:   mc->user_lperm = NULL;
     94:   return(0);
     95: }

    100: /*@
    101:    MatColoringDestroy - Destroys the matrix coloring context

    103:    Collective on MatColoring

    105:    Input Parameter:
    106: .  mc - the MatColoring context

    108:    Level: beginner

    110: .keywords: Coloring, destroy

    112: .seealso: MatColoringCreate(), MatColoringApply()
    113: @*/
    114: PetscErrorCode MatColoringDestroy(MatColoring *mc)
    115: {

    119:   if (--((PetscObject)(*mc))->refct > 0) {*mc = 0; return(0);}
    120:   MatDestroy(&(*mc)->mat);
    121:   if ((*mc)->ops->destroy) {(*((*mc)->ops->destroy))(*mc);}
    122:   if ((*mc)->user_weights) {PetscFree((*mc)->user_weights);}
    123:   if ((*mc)->user_lperm) {PetscFree((*mc)->user_lperm);}
    124:   PetscHeaderDestroy(mc);
    125:   return(0);
    126: }

    130: /*@C
    131:    MatColoringSetType - Sets the type of coloring algorithm used

    133:    Collective on MatColoring

    135:    Input Parameter:
    136: +  mc - the MatColoring context
    137: -  type - the type of coloring

    139:    Level: beginner

    141:    Notes:  Possible types include the sequential types MATCOLORINGLF,
    142:    MATCOLORINGSL, and MATCOLORINGID from the MINPACK package as well
    143:    as a parallel MATCOLORINGMIS algorithm.

    145: .keywords: Coloring, type

    147: .seealso: MatColoringCreate(), MatColoringApply()
    148: @*/
    149: PetscErrorCode MatColoringSetType(MatColoring mc,MatColoringType type)
    150: {
    151:   PetscBool      match;
    152:   PetscErrorCode ierr,(*r)(MatColoring);

    157:   PetscObjectTypeCompare((PetscObject)mc,type,&match);
    158:   if (match) return(0);
    159:    PetscFunctionListFind(MatColoringList,type,&r);
    160:   if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unable to find requested MatColoring type %s",type);
    161:   if (mc->ops->destroy) {
    162:     (*(mc)->ops->destroy)(mc);
    163:     mc->ops->destroy = NULL;
    164:   }
    165:   mc->ops->apply            = 0;
    166:   mc->ops->view             = 0;
    167:   mc->ops->setfromoptions   = 0;
    168:   mc->ops->destroy          = 0;

    170:   PetscObjectChangeTypeName((PetscObject)mc,type);
    171:   (*r)(mc);
    172:   return(0);
    173: }

    177: /*@
    178:    MatColoringSetFromOptions - Sets MatColoring options from user parameters

    180:    Collective on MatColoring

    182:    Input Parameters:
    183: .  mc - MatColoring context

    185:    Options Database Keys:
    186: +   -mat_coloring_type - the type of coloring algorithm used
    187: .   -mat_coloring_maxcolors - the maximum number of relevant colors, all nodes not in a color are in maxcolors+1
    188: .   -mat_coloring_distance - compute a distance 1,2,... coloring.
    189: .   -mat_coloring_view - print information about the coloring and the produced index sets

    191:    Level: beginner

    193: .keywords: Coloring, Matrix

    195: .seealso: MatColoring, MatColoringApply()
    196: @*/
    197: PetscErrorCode MatColoringSetFromOptions(MatColoring mc)
    198: {
    199:   PetscBool      flg;
    200:   MatColoringType deft = MATCOLORINGSL;
    201:   char           type[256];
    203:   PetscInt       dist,maxcolors;

    207:   MatColoringGetDistance(mc,&dist);
    208:   if (dist == 2) deft = MATCOLORINGSL;
    209:   else           deft = MATCOLORINGGREEDY;
    210:   MatColoringGetMaxColors(mc,&maxcolors);
    211:   MatColoringRegisterAll();
    212:   PetscObjectOptionsBegin((PetscObject)mc);
    213:   if (((PetscObject)mc)->type_name) deft = ((PetscObject)mc)->type_name;
    214:   PetscOptionsFList("-mat_coloring_type","The coloring method used","MatColoringSetType",MatColoringList,deft,type,256,&flg);
    215:   if (flg) {
    216:     MatColoringSetType(mc,type);
    217:   } else if (!((PetscObject)mc)->type_name) {
    218:     MatColoringSetType(mc,deft);
    219:   }
    220:   PetscOptionsInt("-mat_coloring_distance","Distance of the coloring","MatColoringSetDistance",dist,&dist,&flg);
    221:   if (flg) {MatColoringSetDistance(mc,dist);}
    222:   PetscOptionsInt("-mat_coloring_maxcolors","Maximum colors returned at the end. 1 returns an independent set","MatColoringSetMaxColors",maxcolors,&maxcolors,&flg);
    223:   if (flg) {MatColoringSetMaxColors(mc,maxcolors);}
    224:   if (mc->ops->setfromoptions) {
    225:     (*mc->ops->setfromoptions)(PetscOptionsObject,mc);
    226:   }
    227:   PetscOptionsBool("-mat_coloring_valid","Check that a valid coloring has been produced","",mc->valid,&mc->valid,NULL);
    228:   PetscOptionsEnum("-mat_coloring_weight_type","Sets the type of vertex weighting used","MatColoringSetWeightType",MatColoringWeightTypes,(PetscEnum)mc->weight_type,(PetscEnum*)&mc->weight_type,NULL);
    229:   PetscObjectProcessOptionsHandlers(PetscOptionsObject,(PetscObject)mc);
    230:   PetscOptionsEnd();
    231:   return(0);
    232: }

    236: /*@
    237:    MatColoringSetDistance - Sets the distance of the coloring

    239:    Logically Collective on MatColoring

    241:    Input Parameter:
    242: .  mc - the MatColoring context
    243: .  dist - the distance the coloring should compute

    245:    Level: beginner

    247:    Notes: The distance of the coloring denotes the minimum number
    248:    of edges in the graph induced by the matrix any two vertices
    249:    of the same color are.  Distance-1 colorings are the classical
    250:    coloring, where no two vertices of the same color are adjacent.
    251:    distance-2 colorings are useful for the computation of Jacobians.

    253: .keywords: Coloring, distance, Jacobian

    255: .seealso: MatColoringGetDistance(), MatColoringApply()
    256: @*/
    257: PetscErrorCode MatColoringSetDistance(MatColoring mc,PetscInt dist)
    258: {
    261:   mc->dist = dist;
    262:   return(0);
    263: }

    267: /*@
    268:    MatColoringGetDistance - Gets the distance of the coloring

    270:    Logically Collective on MatColoring

    272:    Input Parameter:
    273: .  mc - the MatColoring context

    275:    Output Paramter:
    276: .  dist - the current distance being used for the coloring.

    278:    Level: beginner

    280: .keywords: Coloring, distance

    282: .seealso: MatColoringSetDistance(), MatColoringApply()
    283: @*/
    284: PetscErrorCode MatColoringGetDistance(MatColoring mc,PetscInt *dist)
    285: {
    288:   if (dist) *dist = mc->dist;
    289:   return(0);
    290: }

    294: /*@
    295:    MatColoringSetMaxColors - Sets the maximum number of colors

    297:    Logically Collective on MatColoring

    299:    Input Parameter:
    300: +  mc - the MatColoring context
    301: -  maxcolors - the maximum number of colors to produce

    303:    Level: beginner

    305:    Notes:  This may be used to compute a certain number of
    306:    independent sets from the graph.  For instance, while using
    307:    MATCOLORINGMIS and maxcolors = 1, one gets out an MIS.  Vertices
    308:    not in a color are set to have color maxcolors+1, which is not
    309:    a valid color as they may be adjacent.

    311: .keywords: Coloring

    313: .seealso: MatColoringGetMaxColors(), MatColoringApply()
    314: @*/
    315: PetscErrorCode MatColoringSetMaxColors(MatColoring mc,PetscInt maxcolors)
    316: {
    319:   mc->maxcolors = maxcolors;
    320:   return(0);
    321: }

    325: /*@
    326:    MatColoringGetMaxColors - Gets the maximum number of colors

    328:    Logically Collective on MatColoring

    330:    Input Parameter:
    331: .  mc - the MatColoring context

    333:    Output Paramter:
    334: .  maxcolors - the current maximum number of colors to produce

    336:    Level: beginner

    338: .keywords: Coloring

    340: .seealso: MatColoringSetMaxColors(), MatColoringApply()
    341: @*/
    342: PetscErrorCode MatColoringGetMaxColors(MatColoring mc,PetscInt *maxcolors)
    343: {
    346:   if (maxcolors) *maxcolors = mc->maxcolors;
    347:   return(0);
    348: }

    352: /*@
    353:    MatColoringApply - Apply the coloring to the matrix, producing index
    354:    sets corresponding to a number of independent sets in the induced
    355:    graph.

    357:    Collective on MatColoring

    359:    Input Parameters:
    360: .  mc - the MatColoring context

    362:    Output Parameter:
    363: .  coloring - the ISColoring instance containing the coloring

    365:    Level: beginner

    367: .keywords: Coloring, Apply

    369: .seealso: MatColoring, MatColoringCreate()
    370: @*/
    371: PetscErrorCode MatColoringApply(MatColoring mc,ISColoring *coloring)
    372: {
    373:   PetscErrorCode    ierr;
    374:   PetscBool         flg;
    375:   PetscViewerFormat format;
    376:   PetscViewer       viewer;
    377:   PetscInt          nc,ncolors;

    381:   PetscLogEventBegin(Mat_Coloring_Apply,mc,0,0,0);
    382:   (*mc->ops->apply)(mc,coloring);
    383:   PetscLogEventEnd(Mat_Coloring_Apply,mc,0,0,0);
    384:   /* valid */
    385:   if (mc->valid) {
    386:     MatColoringTestValid(mc,*coloring);
    387:   }
    388:   /* view */
    389:   PetscOptionsGetViewer(PetscObjectComm((PetscObject)mc),((PetscObject)mc)->prefix,"-mat_coloring_view",&viewer,&format,&flg);
    390:   if (flg && !PetscPreLoadingOn) {
    391:     PetscViewerPushFormat(viewer,format);
    392:     MatColoringView(mc,viewer);
    393:     MatGetSize(mc->mat,NULL,&nc);
    394:     ISColoringGetIS(*coloring,&ncolors,NULL);
    395:     PetscViewerASCIIPrintf(viewer,"  Number of colors %d\n",ncolors);
    396:     PetscViewerASCIIPrintf(viewer,"  Number of total columns %d\n",nc);
    397:     if (nc <= 1000) {ISColoringView(*coloring,viewer);}
    398:     PetscViewerPopFormat(viewer);
    399:     PetscViewerDestroy(&viewer);
    400:   }
    401:   return(0);
    402: }

    406: /*@
    407:    MatColoringView - Output details about the MatColoring.

    409:    Collective on MatColoring

    411:    Input Parameters:
    412: -  mc - the MatColoring context
    413: +  viewer - the Viewer context

    415:    Level: beginner

    417: .keywords: Coloring, view

    419: .seealso: MatColoring, MatColoringApply()
    420: @*/
    421: PetscErrorCode MatColoringView(MatColoring mc,PetscViewer viewer)
    422: {
    424:   PetscBool      iascii;

    428:   if (!viewer) {
    429:     PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)mc),&viewer);
    430:   }

    434:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
    435:   if (iascii) {
    436:     PetscObjectPrintClassNamePrefixType((PetscObject)mc,viewer);
    437:     PetscViewerASCIIPrintf(viewer,"  Weight type: %s\n",MatColoringWeightTypes[mc->weight_type]);
    438:     if (mc->maxcolors > 0) {
    439:       PetscViewerASCIIPrintf(viewer,"  Distance %D, Max. Colors %D\n",mc->dist,mc->maxcolors);
    440:     } else {
    441:       PetscViewerASCIIPrintf(viewer,"  Distance %d\n",mc->dist);
    442:     }
    443:   }
    444:   return(0);
    445: }

    447: /*@
    448:    MatColoringSetWeightType - Set the type of weight computation used.

    450:    Logically collective on MatColoring

    452:    Input Parameters:
    453: -  mc - the MatColoring context
    454: +  wt - the weight type

    456:    Level: beginner

    458: .keywords: Coloring, view

    460: .seealso: MatColoring, MatColoringWeightType
    461: @*/
    464: PetscErrorCode MatColoringSetWeightType(MatColoring mc,MatColoringWeightType wt)
    465: {
    467:   mc->weight_type = wt;
    468:   return(0);

    470: }