Actual source code: matimpl.h
petsc-3.12.1 2019-10-22
Report Typos and Errors

      2: #ifndef __MATIMPL_H

      5:  #include <petscmat.h>
      6:  #include <petscmatcoarsen.h>
      7:  #include <petsc/private/petscimpl.h>

      9: PETSC_EXTERN PetscBool MatRegisterAllCalled;
     10: PETSC_EXTERN PetscBool MatSeqAIJRegisterAllCalled;
     11: PETSC_EXTERN PetscBool MatOrderingRegisterAllCalled;
     12: PETSC_EXTERN PetscBool MatColoringRegisterAllCalled;
     13: PETSC_EXTERN PetscBool MatPartitioningRegisterAllCalled;
     14: PETSC_EXTERN PetscBool MatCoarsenRegisterAllCalled;
     15: PETSC_EXTERN PetscErrorCode MatRegisterAll(void);
     16: PETSC_EXTERN PetscErrorCode MatOrderingRegisterAll(void);
     17: PETSC_EXTERN PetscErrorCode MatColoringRegisterAll(void);
     18: PETSC_EXTERN PetscErrorCode MatPartitioningRegisterAll(void);
     19: PETSC_EXTERN PetscErrorCode MatCoarsenRegisterAll(void);
     20: PETSC_EXTERN PetscErrorCode MatSeqAIJRegisterAll(void);

     22: /*
     23:   This file defines the parts of the matrix data structure that are
     24:   shared by all matrix types.
     25: */

     27: /*
     28:     If you add entries here also add them to the MATOP enum
     29:     in include/petscmat.h and include/petsc/finclude/petscmat.h
     30: */
     31: typedef struct _MatOps *MatOps;
     32: struct _MatOps {
     33:   /* 0*/
     34:   PetscErrorCode (*setvalues)(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
     35:   PetscErrorCode (*getrow)(Mat,PetscInt,PetscInt *,PetscInt*[],PetscScalar*[]);
     36:   PetscErrorCode (*restorerow)(Mat,PetscInt,PetscInt *,PetscInt *[],PetscScalar *[]);
     37:   PetscErrorCode (*mult)(Mat,Vec,Vec);
     38:   PetscErrorCode (*multadd)(Mat,Vec,Vec,Vec);
     39:   /* 5*/
     40:   PetscErrorCode (*multtranspose)(Mat,Vec,Vec);
     41:   PetscErrorCode (*multtransposeadd)(Mat,Vec,Vec,Vec);
     42:   PetscErrorCode (*solve)(Mat,Vec,Vec);
     43:   PetscErrorCode (*solveadd)(Mat,Vec,Vec,Vec);
     44:   PetscErrorCode (*solvetranspose)(Mat,Vec,Vec);
     45:   /*10*/
     46:   PetscErrorCode (*solvetransposeadd)(Mat,Vec,Vec,Vec);
     47:   PetscErrorCode (*lufactor)(Mat,IS,IS,const MatFactorInfo*);
     48:   PetscErrorCode (*choleskyfactor)(Mat,IS,const MatFactorInfo*);
     49:   PetscErrorCode (*sor)(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);
     50:   PetscErrorCode (*transpose)(Mat,MatReuse,Mat *);
     51:   /*15*/
     52:   PetscErrorCode (*getinfo)(Mat,MatInfoType,MatInfo*);
     53:   PetscErrorCode (*equal)(Mat,Mat,PetscBool  *);
     54:   PetscErrorCode (*getdiagonal)(Mat,Vec);
     55:   PetscErrorCode (*diagonalscale)(Mat,Vec,Vec);
     56:   PetscErrorCode (*norm)(Mat,NormType,PetscReal*);
     57:   /*20*/
     58:   PetscErrorCode (*assemblybegin)(Mat,MatAssemblyType);
     59:   PetscErrorCode (*assemblyend)(Mat,MatAssemblyType);
     60:   PetscErrorCode (*setoption)(Mat,MatOption,PetscBool );
     61:   PetscErrorCode (*zeroentries)(Mat);
     62:   /*24*/
     63:   PetscErrorCode (*zerorows)(Mat,PetscInt,const PetscInt[],PetscScalar,Vec,Vec);
     64:   PetscErrorCode (*lufactorsymbolic)(Mat,Mat,IS,IS,const MatFactorInfo*);
     65:   PetscErrorCode (*lufactornumeric)(Mat,Mat,const MatFactorInfo*);
     66:   PetscErrorCode (*choleskyfactorsymbolic)(Mat,Mat,IS,const MatFactorInfo*);
     67:   PetscErrorCode (*choleskyfactornumeric)(Mat,Mat,const MatFactorInfo*);
     68:   /*29*/
     69:   PetscErrorCode (*setup)(Mat);
     70:   PetscErrorCode (*ilufactorsymbolic)(Mat,Mat,IS,IS,const MatFactorInfo*);
     71:   PetscErrorCode (*iccfactorsymbolic)(Mat,Mat,IS,const MatFactorInfo*);
     72:   PetscErrorCode (*getdiagonalblock)(Mat,Mat*);
     73:   PetscErrorCode (*freeintermediatedatastructures)(Mat);
     74:   /*34*/
     75:   PetscErrorCode (*duplicate)(Mat,MatDuplicateOption,Mat*);
     76:   PetscErrorCode (*forwardsolve)(Mat,Vec,Vec);
     77:   PetscErrorCode (*backwardsolve)(Mat,Vec,Vec);
     78:   PetscErrorCode (*ilufactor)(Mat,IS,IS,const MatFactorInfo*);
     79:   PetscErrorCode (*iccfactor)(Mat,IS,const MatFactorInfo*);
     80:   /*39*/
     81:   PetscErrorCode (*axpy)(Mat,PetscScalar,Mat,MatStructure);
     82:   PetscErrorCode (*createsubmatrices)(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
     83:   PetscErrorCode (*increaseoverlap)(Mat,PetscInt,IS[],PetscInt);
     84:   PetscErrorCode (*getvalues)(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar []);
     85:   PetscErrorCode (*copy)(Mat,Mat,MatStructure);
     86:   /*44*/
     87:   PetscErrorCode (*getrowmax)(Mat,Vec,PetscInt[]);
     88:   PetscErrorCode (*scale)(Mat,PetscScalar);
     89:   PetscErrorCode (*shift)(Mat,PetscScalar);
     90:   PetscErrorCode (*diagonalset)(Mat,Vec,InsertMode);
     91:   PetscErrorCode (*zerorowscolumns)(Mat,PetscInt,const PetscInt[],PetscScalar,Vec,Vec);
     92:   /*49*/
     93:   PetscErrorCode (*setrandom)(Mat,PetscRandom);
     94:   PetscErrorCode (*getrowij)(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
     95:   PetscErrorCode (*restorerowij)(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool  *);
     96:   PetscErrorCode (*getcolumnij)(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
     97:   PetscErrorCode (*restorecolumnij)(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool  *);
     98:   /*54*/
     99:   PetscErrorCode (*fdcoloringcreate)(Mat,ISColoring,MatFDColoring);
    100:   PetscErrorCode (*coloringpatch)(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
    101:   PetscErrorCode (*setunfactored)(Mat);
    102:   PetscErrorCode (*permute)(Mat,IS,IS,Mat*);
    103:   PetscErrorCode (*setvaluesblocked)(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
    104:   /*59*/
    105:   PetscErrorCode (*createsubmatrix)(Mat,IS,IS,MatReuse,Mat*);
    106:   PetscErrorCode (*destroy)(Mat);
    107:   PetscErrorCode (*view)(Mat,PetscViewer);
    108:   PetscErrorCode (*convertfrom)(Mat,MatType,MatReuse,Mat*);
    109:   PetscErrorCode (*matmatmult)(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
    110:   /*64*/
    111:   PetscErrorCode (*matmatmultsymbolic)(Mat,Mat,Mat,PetscReal,Mat*);
    112:   PetscErrorCode (*matmatmultnumeric)(Mat,Mat,Mat,Mat);
    113:   PetscErrorCode (*setlocaltoglobalmapping)(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
    114:   PetscErrorCode (*setvalueslocal)(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
    115:   PetscErrorCode (*zerorowslocal)(Mat,PetscInt,const PetscInt[],PetscScalar,Vec,Vec);
    116:   /*69*/
    117:   PetscErrorCode (*getrowmaxabs)(Mat,Vec,PetscInt[]);
    118:   PetscErrorCode (*getrowminabs)(Mat,Vec,PetscInt[]);
    119:   PetscErrorCode (*convert)(Mat, MatType,MatReuse,Mat*);
    120:   PetscErrorCode (*hasoperation)(Mat,MatOperation,PetscBool*);
    121:   PetscErrorCode (*placeholder_73)(Mat,void*);
    122:   /*74*/
    123:   PetscErrorCode (*setvaluesadifor)(Mat,PetscInt,void*);
    124:   PetscErrorCode (*fdcoloringapply)(Mat,MatFDColoring,Vec,void*);
    125:   PetscErrorCode (*setfromoptions)(PetscOptionItems*,Mat);
    126:   PetscErrorCode (*multconstrained)(Mat,Vec,Vec);
    127:   PetscErrorCode (*multtransposeconstrained)(Mat,Vec,Vec);
    128:   /*79*/
    129:   PetscErrorCode (*findzerodiagonals)(Mat,IS*);
    130:   PetscErrorCode (*mults)(Mat, Vecs, Vecs);
    131:   PetscErrorCode (*solves)(Mat, Vecs, Vecs);
    132:   PetscErrorCode (*getinertia)(Mat,PetscInt*,PetscInt*,PetscInt*);
    133:   PetscErrorCode (*load)(Mat, PetscViewer);
    134:   /*84*/
    135:   PetscErrorCode (*issymmetric)(Mat,PetscReal,PetscBool *);
    136:   PetscErrorCode (*ishermitian)(Mat,PetscReal,PetscBool *);
    137:   PetscErrorCode (*isstructurallysymmetric)(Mat,PetscBool *);
    138:   PetscErrorCode (*setvaluesblockedlocal)(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
    139:   PetscErrorCode (*getvecs)(Mat,Vec*,Vec*);
    140:   /*89*/
    141:   PetscErrorCode (*matmult)(Mat,Mat,MatReuse,PetscReal,Mat*);
    142:   PetscErrorCode (*matmultsymbolic)(Mat,Mat,PetscReal,Mat*);
    143:   PetscErrorCode (*matmultnumeric)(Mat,Mat,Mat);
    144:   PetscErrorCode (*ptap)(Mat,Mat,MatReuse,PetscReal,Mat*);
    145:   PetscErrorCode (*ptapsymbolic)(Mat,Mat,PetscReal,Mat*); /* double dispatch wrapper routine */
    146:   /*94*/
    147:   PetscErrorCode (*ptapnumeric)(Mat,Mat,Mat);             /* double dispatch wrapper routine */
    148:   PetscErrorCode (*mattransposemult)(Mat,Mat,MatReuse,PetscReal,Mat*);
    149:   PetscErrorCode (*mattransposemultsymbolic)(Mat,Mat,PetscReal,Mat*);
    150:   PetscErrorCode (*mattransposemultnumeric)(Mat,Mat,Mat);
    151:   PetscErrorCode (*pintocpu)(Mat,PetscBool);
    152:   /*99*/
    153:   PetscErrorCode (*placeholder_99)(Mat);
    154:   PetscErrorCode (*placeholder_100)(Mat);
    155:   PetscErrorCode (*placeholder_101)(Mat);
    156:   PetscErrorCode (*conjugate)(Mat);                              /* complex conjugate */
    157:   PetscErrorCode (*viewnative)(Mat,PetscViewer);
    158:   /*104*/
    159:   PetscErrorCode (*setvaluesrow)(Mat,PetscInt,const PetscScalar[]);
    160:   PetscErrorCode (*realpart)(Mat);
    161:   PetscErrorCode (*imaginarypart)(Mat);
    162:   PetscErrorCode (*getrowuppertriangular)(Mat);
    163:   PetscErrorCode (*restorerowuppertriangular)(Mat);
    164:   /*109*/
    165:   PetscErrorCode (*matsolve)(Mat,Mat,Mat);
    166:   PetscErrorCode (*matsolvetranspose)(Mat,Mat,Mat);
    167:   PetscErrorCode (*getrowmin)(Mat,Vec,PetscInt[]);
    168:   PetscErrorCode (*getcolumnvector)(Mat,Vec,PetscInt);
    169:   PetscErrorCode (*missingdiagonal)(Mat,PetscBool *,PetscInt*);
    170:   /*114*/
    171:   PetscErrorCode (*getseqnonzerostructure)(Mat,Mat *);
    172:   PetscErrorCode (*create)(Mat);
    173:   PetscErrorCode (*getghosts)(Mat,PetscInt*,const PetscInt *[]);
    174:   PetscErrorCode (*getlocalsubmatrix)(Mat,IS,IS,Mat*);
    175:   PetscErrorCode (*restorelocalsubmatrix)(Mat,IS,IS,Mat*);
    176:   /*119*/
    177:   PetscErrorCode (*multdiagonalblock)(Mat,Vec,Vec);
    178:   PetscErrorCode (*hermitiantranspose)(Mat,MatReuse,Mat*);
    179:   PetscErrorCode (*multhermitiantranspose)(Mat,Vec,Vec);
    180:   PetscErrorCode (*multhermitiantransposeadd)(Mat,Vec,Vec,Vec);
    181:   PetscErrorCode (*getmultiprocblock)(Mat,MPI_Comm,MatReuse,Mat*);
    182:   /*124*/
    183:   PetscErrorCode (*findnonzerorows)(Mat,IS*);
    184:   PetscErrorCode (*getcolumnnorms)(Mat,NormType,PetscReal*);
    185:   PetscErrorCode (*invertblockdiagonal)(Mat,const PetscScalar**);
    186:   PetscErrorCode (*invertvariableblockdiagonal)(Mat,PetscInt,const PetscInt*,PetscScalar*);
    187:   PetscErrorCode (*createsubmatricesmpi)(Mat,PetscInt,const IS[], const IS[], MatReuse, Mat**);
    188:   /*129*/
    189:   PetscErrorCode (*setvaluesbatch)(Mat,PetscInt,PetscInt,PetscInt*,const PetscScalar*);
    190:   PetscErrorCode (*transposematmult)(Mat,Mat,MatReuse,PetscReal,Mat*);
    191:   PetscErrorCode (*transposematmultsymbolic)(Mat,Mat,PetscReal,Mat*);
    192:   PetscErrorCode (*transposematmultnumeric)(Mat,Mat,Mat);
    193:   PetscErrorCode (*transposecoloringcreate)(Mat,ISColoring,MatTransposeColoring);
    194:   /*134*/
    195:   PetscErrorCode (*transcoloringapplysptoden)(MatTransposeColoring,Mat,Mat);
    196:   PetscErrorCode (*transcoloringapplydentosp)(MatTransposeColoring,Mat,Mat);
    197:   PetscErrorCode (*rart)(Mat,Mat,MatReuse,PetscReal,Mat*);
    198:   PetscErrorCode (*rartsymbolic)(Mat,Mat,PetscReal,Mat*); /* double dispatch wrapper routine */
    199:   PetscErrorCode (*rartnumeric)(Mat,Mat,Mat);             /* double dispatch wrapper routine */
    200:   /*139*/
    201:   PetscErrorCode (*setblocksizes)(Mat,PetscInt,PetscInt);
    202:   PetscErrorCode (*aypx)(Mat,PetscScalar,Mat,MatStructure);
    203:   PetscErrorCode (*residual)(Mat,Vec,Vec,Vec);
    204:   PetscErrorCode (*fdcoloringsetup)(Mat,ISColoring,MatFDColoring);
    205:   PetscErrorCode (*findoffblockdiagonalentries)(Mat,IS*);
    206:   /*144*/
    207:   PetscErrorCode (*creatempimatconcatenateseqmat)(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);
    208:   PetscErrorCode (*destroysubmatrices)(PetscInt,Mat*[]);
    209:   PetscErrorCode (*mattransposesolve)(Mat,Mat,Mat);
    210: };
    211: /*
    212:     If you add MatOps entries above also add them to the MATOP enum
    213:     in include/petscmat.h and include/petsc/finclude/petscmat.h
    214: */

    216:  #include <petscsys.h>
    217: PETSC_EXTERN PetscErrorCode MatRegisterOp(MPI_Comm, const char[], PetscVoidFunction, const char[], PetscInt, ...);
    218: PETSC_EXTERN PetscErrorCode MatQueryOp(MPI_Comm, PetscVoidFunction*, const char[], PetscInt, ...);

    220: typedef struct _p_MatRootName* MatRootName;
    221: struct _p_MatRootName {
    222:   char        *rname,*sname,*mname;
    223:   MatRootName next;
    224: };

    226: PETSC_EXTERN MatRootName MatRootNameList;

    228: /*
    229:    Utility private matrix routines
    230: */
    231: PETSC_INTERN PetscErrorCode MatFindNonzeroRowsOrCols_Basic(Mat,PetscBool,PetscReal,IS*);
    232: PETSC_INTERN PetscErrorCode MatConvert_Basic(Mat,MatType,MatReuse,Mat*);
    233: PETSC_INTERN PetscErrorCode MatConvert_Shell(Mat,MatType,MatReuse,Mat*);
    234: PETSC_INTERN PetscErrorCode MatConvertFrom_Shell(Mat,MatType,MatReuse,Mat*);
    235: PETSC_INTERN PetscErrorCode MatCopy_Basic(Mat,Mat,MatStructure);
    236: PETSC_INTERN PetscErrorCode MatDiagonalSet_Default(Mat,Vec,InsertMode);

    238: #if defined(PETSC_USE_DEBUG)
    239: #  define MatCheckPreallocated(A,arg) do {                              \
    240:     if (PetscUnlikely(!(A)->preallocated)) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Must call MatXXXSetPreallocation() or MatSetUp() on argument %D \"%s\" before %s()",(arg),#A,PETSC_FUNCTION_NAME); \
    241:   } while (0)
    242: #else
    243: #  define MatCheckPreallocated(A,arg) do {} while (0)
    244: #endif

    246: /*
    247:   The stash is used to temporarily store inserted matrix values that
    248:   belong to another processor. During the assembly phase the stashed
    249:   values are moved to the correct processor and
    250: */

    252: typedef struct _MatStashSpace *PetscMatStashSpace;

    254: struct _MatStashSpace {
    255:   PetscMatStashSpace next;
    256:   PetscScalar        *space_head,*val;
    257:   PetscInt           *idx,*idy;
    258:   PetscInt           total_space_size;
    259:   PetscInt           local_used;
    260:   PetscInt           local_remaining;
    261: };

    263: PETSC_EXTERN PetscErrorCode PetscMatStashSpaceGet(PetscInt,PetscInt,PetscMatStashSpace *);
    264: PETSC_EXTERN PetscErrorCode PetscMatStashSpaceContiguous(PetscInt,PetscMatStashSpace *,PetscScalar *,PetscInt *,PetscInt *);
    265: PETSC_EXTERN PetscErrorCode PetscMatStashSpaceDestroy(PetscMatStashSpace*);

    267: typedef struct {
    268:   PetscInt    count;
    269: } MatStashHeader;

    271: typedef struct {
    272:   void        *buffer;          /* Of type blocktype, dynamically constructed  */
    273:   PetscInt    count;
    274:   char        pending;
    275: } MatStashFrame;

    277: typedef struct _MatStash MatStash;
    278: struct _MatStash {
    279:   PetscInt      nmax;                   /* maximum stash size */
    280:   PetscInt      umax;                   /* user specified max-size */
    281:   PetscInt      oldnmax;                /* the nmax value used previously */
    282:   PetscInt      n;                      /* stash size */
    283:   PetscInt      bs;                     /* block size of the stash */
    284:   PetscInt      reallocs;               /* preserve the no of mallocs invoked */
    285:   PetscMatStashSpace space_head,space;  /* linked list to hold stashed global row/column numbers and matrix values */

    287:   PetscErrorCode (*ScatterBegin)(Mat,MatStash*,PetscInt*);
    288:   PetscErrorCode (*ScatterGetMesg)(MatStash*,PetscMPIInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt*);
    289:   PetscErrorCode (*ScatterEnd)(MatStash*);
    290:   PetscErrorCode (*ScatterDestroy)(MatStash*);

    292:   /* The following variables are used for communication */
    293:   MPI_Comm      comm;
    294:   PetscMPIInt   size,rank;
    295:   PetscMPIInt   tag1,tag2;
    296:   MPI_Request   *send_waits;            /* array of send requests */
    297:   MPI_Request   *recv_waits;            /* array of receive requests */
    298:   MPI_Status    *send_status;           /* array of send status */
    299:   PetscInt      nsends,nrecvs;          /* numbers of sends and receives */
    300:   PetscScalar   *svalues;               /* sending data */
    301:   PetscInt      *sindices;
    302:   PetscScalar   **rvalues;              /* receiving data (values) */
    303:   PetscInt      **rindices;             /* receiving data (indices) */
    304:   PetscInt      nprocessed;             /* number of messages already processed */
    305:   PetscMPIInt   *flg_v;                 /* indicates what messages have arrived so far and from whom */
    306:   PetscBool     reproduce;
    307:   PetscInt      reproduce_count;

    309:   /* The following variables are used for BTS communication */
    310:   PetscBool      first_assembly_done;   /* Is the first time matrix assembly done? */
    311:   PetscBool      use_status;            /* Use MPI_Status to determine number of items in each message */
    312:   PetscMPIInt    nsendranks;
    313:   PetscMPIInt    nrecvranks;
    314:   PetscMPIInt    *sendranks;
    315:   PetscMPIInt    *recvranks;
    316:   MatStashHeader *sendhdr,*recvhdr;
    317:   MatStashFrame  *sendframes;   /* pointers to the main messages */
    318:   MatStashFrame  *recvframes;
    319:   MatStashFrame  *recvframe_active;
    320:   PetscInt       recvframe_i;     /* index of block within active frame */
    321:   PetscMPIInt    recvframe_count; /* Count actually sent for current frame */
    322:   PetscInt       recvcount;       /* Number of receives processed so far */
    323:   PetscMPIInt    *some_indices;   /* From last call to MPI_Waitsome */
    324:   MPI_Status     *some_statuses;  /* Statuses from last call to MPI_Waitsome */
    325:   PetscMPIInt    some_count;      /* Number of requests completed in last call to MPI_Waitsome */
    326:   PetscMPIInt    some_i;          /* Index of request currently being processed */
    327:   MPI_Request    *sendreqs;
    328:   MPI_Request    *recvreqs;
    329:   PetscSegBuffer segsendblocks;
    330:   PetscSegBuffer segrecvframe;
    331:   PetscSegBuffer segrecvblocks;
    332:   MPI_Datatype   blocktype;
    333:   size_t         blocktype_size;
    334:   InsertMode     *insertmode;   /* Pointer to check mat->insertmode and set upon message arrival in case no local values have been set. */
    335: };

    337: #if !defined(PETSC_HAVE_MPIUNI)
    338: PETSC_INTERN PetscErrorCode MatStashScatterDestroy_BTS(MatStash*);
    339: #endif
    340: PETSC_INTERN PetscErrorCode MatStashCreate_Private(MPI_Comm,PetscInt,MatStash*);
    341: PETSC_INTERN PetscErrorCode MatStashDestroy_Private(MatStash*);
    342: PETSC_INTERN PetscErrorCode MatStashScatterEnd_Private(MatStash*);
    343: PETSC_INTERN PetscErrorCode MatStashSetInitialSize_Private(MatStash*,PetscInt);
    344: PETSC_INTERN PetscErrorCode MatStashGetInfo_Private(MatStash*,PetscInt*,PetscInt*);
    345: PETSC_INTERN PetscErrorCode MatStashValuesRow_Private(MatStash*,PetscInt,PetscInt,const PetscInt[],const PetscScalar[],PetscBool );
    346: PETSC_INTERN PetscErrorCode MatStashValuesCol_Private(MatStash*,PetscInt,PetscInt,const PetscInt[],const PetscScalar[],PetscInt,PetscBool );
    347: PETSC_INTERN PetscErrorCode MatStashValuesRowBlocked_Private(MatStash*,PetscInt,PetscInt,const PetscInt[],const PetscScalar[],PetscInt,PetscInt,PetscInt);
    348: PETSC_INTERN PetscErrorCode MatStashValuesColBlocked_Private(MatStash*,PetscInt,PetscInt,const PetscInt[],const PetscScalar[],PetscInt,PetscInt,PetscInt);
    349: PETSC_INTERN PetscErrorCode MatStashScatterBegin_Private(Mat,MatStash*,PetscInt*);
    350: PETSC_INTERN PetscErrorCode MatStashScatterGetMesg_Private(MatStash*,PetscMPIInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt*);
    351: PETSC_INTERN PetscErrorCode MatGetInfo_External(Mat,MatInfoType,MatInfo*);

    353: typedef struct {
    354:   PetscInt   dim;
    355:   PetscInt   dims[4];
    356:   PetscInt   starts[4];
    357:   PetscBool  noc;        /* this is a single component problem, hence user will not set MatStencil.c */
    358: } MatStencilInfo;

    360: /* Info about using compressed row format */
    361: typedef struct {
    362:   PetscBool  use;                           /* indicates compressed rows have been checked and will be used */
    363:   PetscInt   nrows;                         /* number of non-zero rows */
    364:   PetscInt   *i;                            /* compressed row pointer  */
    365:   PetscInt   *rindex;                       /* compressed row index               */
    366: } Mat_CompressedRow;
    367: PETSC_EXTERN PetscErrorCode MatCheckCompressedRow(Mat,PetscInt,Mat_CompressedRow*,PetscInt*,PetscInt,PetscReal);

    369: typedef struct { /* used by MatCreateRedundantMatrix() for reusing matredundant */
    370:   PetscInt     nzlocal,nsends,nrecvs;
    371:   PetscMPIInt  *send_rank,*recv_rank;
    372:   PetscInt     *sbuf_nz,*rbuf_nz,*sbuf_j,**rbuf_j;
    373:   PetscScalar  *sbuf_a,**rbuf_a;
    374:   MPI_Comm     subcomm;   /* when user does not provide a subcomm */
    375:   IS           isrow,iscol;
    376:   Mat          *matseq;
    377: } Mat_Redundant;

    379: struct _p_Mat {
    380:   PETSCHEADER(struct _MatOps);
    381:   PetscLayout            rmap,cmap;
    382:   void                   *data;            /* implementation-specific data */
    383:   MatFactorType          factortype;       /* MAT_FACTOR_LU, ILU, CHOLESKY or ICC */
    384:   PetscBool              assembled;        /* is the matrix assembled? */
    385:   PetscBool              was_assembled;    /* new values inserted into assembled mat */
    386:   PetscInt               num_ass;          /* number of times matrix has been assembled */
    387:   PetscObjectState       nonzerostate;     /* each time new nonzeros locations are introduced into the matrix this is updated */
    388:   PetscObjectState       ass_nonzerostate; /* nonzero state at last assembly */
    389:   MatInfo                info;             /* matrix information */
    390:   InsertMode             insertmode;       /* have values been inserted in matrix or added? */
    391:   MatStash               stash,bstash;     /* used for assembling off-proc mat emements */
    392:   MatNullSpace           nullsp;           /* null space (operator is singular) */
    393:   MatNullSpace           transnullsp;      /* null space of transpose of operator */
    394:   MatNullSpace           nearnullsp;       /* near null space to be used by multigrid methods */
    395:   PetscInt               congruentlayouts; /* are the rows and columns layouts congruent? */
    396:   PetscBool              preallocated;
    397:   MatStencilInfo         stencil;          /* information for structured grid */
    398:   PetscBool              symmetric,hermitian,structurally_symmetric,spd;
    399:   PetscBool              symmetric_set,hermitian_set,structurally_symmetric_set,spd_set; /* if true, then corresponding flag is correct*/
    400:   PetscBool              symmetric_eternal;
    401:   PetscBool              nooffprocentries,nooffproczerorows;
    402:   PetscBool              assembly_subset;  /* set by MAT_SUBSET_OFF_PROC_ENTRIES */
    403:   PetscBool              submat_singleis;  /* for efficient PCSetUP_ASM() */
    404:   PetscBool              structure_only;
    405:   PetscBool              sortedfull;       /* full, sorted rows are inserted */
    406: #if defined(PETSC_HAVE_VIENNACL) || defined(PETSC_HAVE_CUDA)
    407:   PetscOffloadMask       offloadmask;      /* a mask which indicates where the valid matrix data is (GPU, CPU or both) */
    408:   PetscBool              pinnedtocpu;
    409: #endif
    410:   void                   *spptr;          /* pointer for special library like SuperLU */
    411:   char                   *solvertype;
    412:   PetscBool              checksymmetryonassembly,checknullspaceonassembly;
    413:   PetscReal              checksymmetrytol;
    414:   Mat                    schur;             /* Schur complement matrix */
    415:   MatFactorSchurStatus   schur_status;      /* status of the Schur complement matrix */
    416:   Mat_Redundant          *redundant;        /* used by MatCreateRedundantMatrix() */
    417:   PetscBool              erroriffailure;    /* Generate an error if detected (for example a zero pivot) instead of returning */
    418:   MatFactorError         factorerrortype;               /* type of error in factorization */
    419:   PetscReal              factorerror_zeropivot_value;   /* If numerical zero pivot was detected this is the computed value */
    420:   PetscInt               factorerror_zeropivot_row;     /* Row where zero pivot was detected */
    421:   PetscInt               nblocks,*bsizes;   /* support for MatSetVariableBlockSizes() */
    422:   char                   *defaultvectype;
    423: };

    425: PETSC_INTERN PetscErrorCode MatPtAP_Basic(Mat,Mat,MatReuse,PetscReal,Mat*);
    426: PETSC_INTERN PetscErrorCode MatAXPY_Basic(Mat,PetscScalar,Mat,MatStructure);
    427: PETSC_INTERN PetscErrorCode MatAXPY_BasicWithPreallocation(Mat,Mat,PetscScalar,Mat,MatStructure);
    428: PETSC_INTERN PetscErrorCode MatAXPY_Basic_Preallocate(Mat,Mat,Mat*);

    430: /*
    431:     Utility for MatFactor (Schur complement)
    432: */
    433: PETSC_INTERN PetscErrorCode MatFactorFactorizeSchurComplement_Private(Mat);
    434: PETSC_INTERN PetscErrorCode MatFactorInvertSchurComplement_Private(Mat);
    435: PETSC_INTERN PetscErrorCode MatFactorUpdateSchurStatus_Private(Mat);
    436: PETSC_INTERN PetscErrorCode MatFactorSetUpInPlaceSchur_Private(Mat);

    438: /*
    439:     Utility for MatZeroRows
    440: */
    441: PETSC_INTERN PetscErrorCode MatZeroRowsMapLocal_Private(Mat,PetscInt,const PetscInt*,PetscInt*,PetscInt**);

    443: /*
    444:     Object for partitioning graphs
    445: */

    447: typedef struct _MatPartitioningOps *MatPartitioningOps;
    448: struct _MatPartitioningOps {
    449:   PetscErrorCode (*apply)(MatPartitioning,IS*);
    450:   PetscErrorCode (*applynd)(MatPartitioning,IS*);
    451:   PetscErrorCode (*setfromoptions)(PetscOptionItems*,MatPartitioning);
    452:   PetscErrorCode (*destroy)(MatPartitioning);
    453:   PetscErrorCode (*view)(MatPartitioning,PetscViewer);
    454:   PetscErrorCode (*improve)(MatPartitioning,IS*);
    455: };

    457: struct _p_MatPartitioning {
    458:   PETSCHEADER(struct _MatPartitioningOps);
    459:   Mat         adj;
    460:   PetscInt    *vertex_weights;
    461:   PetscReal   *part_weights;
    462:   PetscInt    n;                                 /* number of partitions */
    463:   void        *data;
    464:   PetscInt    setupcalled;
    465: };

    467: /* needed for parallel nested dissection by ParMetis and PTSCOTCH */
    468: PETSC_INTERN PetscErrorCode MatPartitioningSizesToSep_Private(PetscInt,PetscInt[],PetscInt[],PetscInt[]);

    470: /*
    471:     Object for coarsen graphs
    472: */
    473: typedef struct _MatCoarsenOps *MatCoarsenOps;
    474: struct _MatCoarsenOps {
    475:   PetscErrorCode (*apply)(MatCoarsen);
    476:   PetscErrorCode (*setfromoptions)(PetscOptionItems*,MatCoarsen);
    477:   PetscErrorCode (*destroy)(MatCoarsen);
    478:   PetscErrorCode (*view)(MatCoarsen,PetscViewer);
    479: };

    481: struct _p_MatCoarsen {
    482:   PETSCHEADER(struct _MatCoarsenOps);
    483:   Mat              graph;
    484:   PetscInt         setupcalled;
    485:   void             *subctx;
    486:   /* */
    487:   PetscBool        strict_aggs;
    488:   IS               perm;
    489:   PetscCoarsenData *agg_lists;
    490: };

    492: /*
    493:     MatFDColoring is used to compute Jacobian matrices efficiently
    494:   via coloring. The data structure is explained below in an example.

    496:    Color =   0    1     0    2   |   2      3       0
    497:    ---------------------------------------------------
    498:             00   01              |          05
    499:             10   11              |   14     15               Processor  0
    500:                        22    23  |          25
    501:                        32    33  |
    502:    ===================================================
    503:                                  |   44     45     46
    504:             50                   |          55               Processor 1
    505:                                  |   64            66
    506:    ---------------------------------------------------

    508:     ncolors = 4;

    510:     ncolumns      = {2,1,1,0}
    511:     columns       = {{0,2},{1},{3},{}}
    512:     nrows         = {4,2,3,3}
    513:     rows          = {{0,1,2,3},{0,1},{1,2,3},{0,1,2}}
    514:     vwscale       = {dx(0),dx(1),dx(2),dx(3)}               MPI Vec
    515:     vscale        = {dx(0),dx(1),dx(2),dx(3),dx(4),dx(5)}   Seq Vec

    517:     ncolumns      = {1,0,1,1}
    518:     columns       = {{6},{},{4},{5}}
    519:     nrows         = {3,0,2,2}
    520:     rows          = {{0,1,2},{},{1,2},{1,2}}
    521:     vwscale       = {dx(4),dx(5),dx(6)}              MPI Vec
    522:     vscale        = {dx(0),dx(4),dx(5),dx(6)}        Seq Vec

    524:     See the routine MatFDColoringApply() for how this data is used
    525:     to compute the Jacobian.

    527: */
    528: typedef struct {
    529:   PetscInt     row;
    530:   PetscInt     col;
    531:   PetscScalar  *valaddr;   /* address of value */
    532: } MatEntry;

    534: typedef struct {
    535:   PetscInt     row;
    536:   PetscScalar  *valaddr;   /* address of value */
    537: } MatEntry2;

    539: struct  _p_MatFDColoring{
    540:   PETSCHEADER(int);
    541:   PetscInt       M,N,m;            /* total rows, columns; local rows */
    542:   PetscInt       rstart;           /* first row owned by local processor */
    543:   PetscInt       ncolors;          /* number of colors */
    544:   PetscInt       *ncolumns;        /* number of local columns for a color */
    545:   PetscInt       **columns;        /* lists the local columns of each color (using global column numbering) */
    546:   IS             *isa;             /* these are the IS that contain the column values given in columns */
    547:   PetscInt       *nrows;           /* number of local rows for each color */
    548:   MatEntry       *matentry;        /* holds (row, column, address of value) for Jacobian matrix entry */
    549:   MatEntry2      *matentry2;       /* holds (row, address of value) for Jacobian matrix entry */
    550:   PetscScalar    *dy;              /* store a block of F(x+dx)-F(x) when J is in BAIJ format */
    551:   PetscReal      error_rel;        /* square root of relative error in computing function */
    552:   PetscReal      umin;             /* minimum allowable u'dx value */
    553:   Vec            w1,w2,w3;         /* work vectors used in computing Jacobian */
    554:   PetscBool      fset;             /* indicates that the initial function value F(X) is set */
    555:   PetscErrorCode (*f)(void);       /* function that defines Jacobian */
    556:   void           *fctx;            /* optional user-defined context for use by the function f */
    557:   Vec            vscale;           /* holds FD scaling, i.e. 1/dx for each perturbed column */
    558:   PetscInt       currentcolor;     /* color for which function evaluation is being done now */
    559:   const char     *htype;           /* "wp" or "ds" */
    560:   ISColoringType ctype;            /* IS_COLORING_GLOBAL or IS_COLORING_LOCAL */
    561:   PetscInt       brows,bcols;      /* number of block rows or columns for speedup inserting the dense matrix into sparse Jacobian */
    562:   PetscBool      setupcalled;      /* true if setup has been called */
    563:   PetscBool      viewed;           /* true if the -mat_fd_coloring_view has been triggered already */
    564:   void           (*ftn_func_pointer)(void),*ftn_func_cntx; /* serve the same purpose as *fortran_func_pointers in PETSc objects */
    565:   PetscObjectId  matid;            /* matrix this object was created with, must always be the same */
    566: };

    568: typedef struct _MatColoringOps *MatColoringOps;
    569: struct _MatColoringOps {
    570:   PetscErrorCode (*destroy)(MatColoring);
    571:   PetscErrorCode (*setfromoptions)(PetscOptionItems*,MatColoring);
    572:   PetscErrorCode (*view)(MatColoring,PetscViewer);
    573:   PetscErrorCode (*apply)(MatColoring,ISColoring*);
    574:   PetscErrorCode (*weights)(MatColoring,PetscReal**,PetscInt**);
    575: };

    577: struct _p_MatColoring {
    578:   PETSCHEADER(struct _MatColoringOps);
    579:   Mat                   mat;
    580:   PetscInt              dist;             /* distance of the coloring */
    581:   PetscInt              maxcolors;        /* the maximum number of colors returned, maxcolors=1 for MIS */
    582:   void                  *data;            /* inner context */
    583:   PetscBool             valid;            /* check to see if what is produced is a valid coloring */
    584:   MatColoringWeightType weight_type;      /* type of weight computation to be performed */
    585:   PetscReal             *user_weights;    /* custom weights and permutation */
    586:   PetscInt              *user_lperm;
    587:   PetscBool             valid_iscoloring; /* check to see if matcoloring is produced a valid iscoloring */
    588: };

    590: struct  _p_MatTransposeColoring{
    591:   PETSCHEADER(int);
    592:   PetscInt       M,N,m;            /* total rows, columns; local rows */
    593:   PetscInt       rstart;           /* first row owned by local processor */
    594:   PetscInt       ncolors;          /* number of colors */
    595:   PetscInt       *ncolumns;        /* number of local columns for a color */
    596:   PetscInt       *nrows;           /* number of local rows for each color */
    597:   PetscInt       currentcolor;     /* color for which function evaluation is being done now */
    598:   ISColoringType ctype;            /* IS_COLORING_GLOBAL or IS_COLORING_LOCAL */

    600:   PetscInt       *colorforrow,*colorforcol;  /* pointer to rows and columns */
    601:   PetscInt       *rows;                      /* lists the local rows for each color (using the local row numbering) */
    602:   PetscInt       *den2sp;                    /* maps (row,color) in the dense matrix to index of sparse matrix array a->a */
    603:   PetscInt       *columns;                   /* lists the local columns of each color (using global column numbering) */
    604:   PetscInt       brows;                      /* number of rows for efficient implementation of MatTransColoringApplyDenToSp() */
    605:   PetscInt       *lstart;                    /* array used for loop over row blocks of Csparse */
    606: };

    608: /*
    609:    Null space context for preconditioner/operators
    610: */
    611: struct _p_MatNullSpace {
    612:   PETSCHEADER(int);
    613:   PetscBool      has_cnst;
    614:   PetscInt       n;
    615:   Vec*           vecs;
    616:   PetscScalar*   alpha;                 /* for projections */
    617:   PetscErrorCode (*remove)(MatNullSpace,Vec,void*);  /* for user provided removal function */
    618:   void*          rmctx;                 /* context for remove() function */
    619: };

    621: /*
    622:    Checking zero pivot for LU, ILU preconditioners.
    623: */
    624: typedef struct {
    625:   PetscInt       nshift,nshift_max;
    626:   PetscReal      shift_amount,shift_lo,shift_hi,shift_top,shift_fraction;
    627:   PetscBool      newshift;
    628:   PetscReal      rs;  /* active row sum of abs(offdiagonals) */
    629:   PetscScalar    pv;  /* pivot of the active row */
    630: } FactorShiftCtx;

    632: /*
    633:  Used by MatCreateSubMatrices_MPIXAIJ_Local()
    634: */
    635:  #include <petscctable.h>
    636: typedef struct { /* used by MatCreateSubMatrices_MPIAIJ_SingleIS_Local() and MatCreateSubMatrices_MPIAIJ_Local */
    637:   PetscInt   id;   /* index of submats, only submats[0] is responsible for deleting some arrays below */
    638:   PetscInt   nrqs,nrqr;
    639:   PetscInt   **rbuf1,**rbuf2,**rbuf3,**sbuf1,**sbuf2;
    640:   PetscInt   **ptr;
    641:   PetscInt   *tmp;
    642:   PetscInt   *ctr;
    643:   PetscInt   *pa; /* proc array */
    644:   PetscInt   *req_size,*req_source1,*req_source2;
    645:   PetscBool  allcolumns,allrows;
    646:   PetscBool  singleis;
    647:   PetscInt   *row2proc; /* row to proc map */
    648:   PetscInt   nstages;
    649: #if defined(PETSC_USE_CTABLE)
    650:   PetscTable cmap,rmap;
    651:   PetscInt   *cmap_loc,*rmap_loc;
    652: #else
    653:   PetscInt   *cmap,*rmap;
    654: #endif

    656:   PetscErrorCode (*destroy)(Mat);
    657: } Mat_SubSppt;

    659: PETSC_EXTERN PetscErrorCode MatFactorDumpMatrix(Mat);
    660: PETSC_INTERN PetscErrorCode MatShift_Basic(Mat,PetscScalar);
    661: PETSC_INTERN PetscErrorCode MatSetBlockSizes_Default(Mat,PetscInt,PetscInt);

    663: PETSC_STATIC_INLINE PetscErrorCode MatPivotCheck_nz(Mat mat,const MatFactorInfo *info,FactorShiftCtx *sctx,PetscInt row)
    664: {
    665:   PetscReal _rs   = sctx->rs;
    666:   PetscReal _zero = info->zeropivot*_rs;

    669:   if (PetscAbsScalar(sctx->pv) <= _zero && !PetscIsNanScalar(sctx->pv)){
    670:     /* force |diag| > zeropivot*rs */
    671:     if (!sctx->nshift) sctx->shift_amount = info->shiftamount;
    672:     else sctx->shift_amount *= 2.0;
    673:     sctx->newshift = PETSC_TRUE;
    674:     (sctx->nshift)++;
    675:   } else {
    676:     sctx->newshift = PETSC_FALSE;
    677:   }
    678:   return(0);
    679: }

    681: PETSC_STATIC_INLINE PetscErrorCode MatPivotCheck_pd(Mat mat,const MatFactorInfo *info,FactorShiftCtx *sctx,PetscInt row)
    682: {
    683:   PetscReal _rs   = sctx->rs;
    684:   PetscReal _zero = info->zeropivot*_rs;

    687:   if (PetscRealPart(sctx->pv) <= _zero && !PetscIsNanScalar(sctx->pv)){
    688:     /* force matfactor to be diagonally dominant */
    689:     if (sctx->nshift == sctx->nshift_max) {
    690:       sctx->shift_fraction = sctx->shift_hi;
    691:     } else {
    692:       sctx->shift_lo = sctx->shift_fraction;
    693:       sctx->shift_fraction = (sctx->shift_hi+sctx->shift_lo)/2.;
    694:     }
    695:     sctx->shift_amount = sctx->shift_fraction * sctx->shift_top;
    696:     sctx->nshift++;
    697:     sctx->newshift = PETSC_TRUE;
    698:   } else {
    699:     sctx->newshift = PETSC_FALSE;
    700:   }
    701:   return(0);
    702: }

    704: PETSC_STATIC_INLINE PetscErrorCode MatPivotCheck_inblocks(Mat mat,const MatFactorInfo *info,FactorShiftCtx *sctx,PetscInt row)
    705: {
    706:   PetscReal _zero = info->zeropivot;

    709:   if (PetscAbsScalar(sctx->pv) <= _zero && !PetscIsNanScalar(sctx->pv)){
    710:     sctx->pv          += info->shiftamount;
    711:     sctx->shift_amount = 0.0;
    712:     sctx->nshift++;
    713:   }
    714:   sctx->newshift = PETSC_FALSE;
    715:   return(0);
    716: }

    718: PETSC_STATIC_INLINE PetscErrorCode MatPivotCheck_none(Mat fact,Mat mat,const MatFactorInfo *info,FactorShiftCtx *sctx,PetscInt row)
    719: {
    720:   PetscReal      _zero = info->zeropivot;

    724:   sctx->newshift = PETSC_FALSE;
    725:   if (PetscAbsScalar(sctx->pv) <= _zero && !PetscIsNanScalar(sctx->pv)) {
    726:     if (!mat->erroriffailure) {
    727:       PetscInfo3(mat,"Detected zero pivot in factorization in row %D value %g tolerance %g\n",row,(double)PetscAbsScalar(sctx->pv),(double)_zero);
    728:       fact->factorerrortype             = MAT_FACTOR_NUMERIC_ZEROPIVOT;
    729:       fact->factorerror_zeropivot_value = PetscAbsScalar(sctx->pv);
    730:       fact->factorerror_zeropivot_row   = row;
    731:     } else SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_MAT_LU_ZRPVT,"Zero pivot row %D value %g tolerance %g\n",row,(double)PetscAbsScalar(sctx->pv),(double)_zero);
    732:   }
    733:   return(0);
    734: }

    736: PETSC_STATIC_INLINE PetscErrorCode MatPivotCheck(Mat fact,Mat mat,const MatFactorInfo *info,FactorShiftCtx *sctx,PetscInt row)
    737: {

    741:   if (info->shifttype == (PetscReal) MAT_SHIFT_NONZERO){
    742:     MatPivotCheck_nz(mat,info,sctx,row);
    743:   } else if (info->shifttype == (PetscReal) MAT_SHIFT_POSITIVE_DEFINITE){
    744:     MatPivotCheck_pd(mat,info,sctx,row);
    745:   } else if (info->shifttype == (PetscReal) MAT_SHIFT_INBLOCKS){
    746:     MatPivotCheck_inblocks(mat,info,sctx,row);
    747:   } else {
    748:     MatPivotCheck_none(fact,mat,info,sctx,row);
    749:   }
    750:   return(0);
    751: }

    753: /*
    754:   Create and initialize a linked list
    755:   Input Parameters:
    756:     idx_start - starting index of the list
    757:     lnk_max   - max value of lnk indicating the end of the list
    758:     nlnk      - max length of the list
    759:   Output Parameters:
    760:     lnk       - list initialized
    761:     bt        - PetscBT (bitarray) with all bits set to false
    762:     lnk_empty - flg indicating the list is empty
    763: */
    764: #define PetscLLCreate(idx_start,lnk_max,nlnk,lnk,bt) \
    765:   (PetscMalloc1(nlnk,&lnk) || PetscBTCreate(nlnk,&(bt)) || (lnk[idx_start] = lnk_max,0))

    767: #define PetscLLCreate_new(idx_start,lnk_max,nlnk,lnk,bt,lnk_empty)\
    768:   (PetscMalloc1(nlnk,&lnk) || PetscBTCreate(nlnk,&(bt)) || (lnk_empty = PETSC_TRUE,0) ||(lnk[idx_start] = lnk_max,0))

    770: /*
    771:   Add an index set into a sorted linked list
    772:   Input Parameters:
    773:     nidx      - number of input indices
    774:     indices   - integer array
    775:     idx_start - starting index of the list
    776:     lnk       - linked list(an integer array) that is created
    777:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    778:   output Parameters:
    779:     nlnk      - number of newly added indices
    780:     lnk       - the sorted(increasing order) linked list containing new and non-redundate entries from indices
    781:     bt        - updated PetscBT (bitarray)
    782: */
    783: #define PetscLLAdd(nidx,indices,idx_start,nlnk,lnk,bt) 0;\
    784: {\
    785:   PetscInt _k,_entry,_location,_lnkdata;\
    786:   nlnk     = 0;\
    787:   _lnkdata = idx_start;\
    788:   for (_k=0; _k<nidx; _k++){\
    789:     _entry = indices[_k];\
    790:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    791:       /* search for insertion location */\
    792:       /* start from the beginning if _entry < previous _entry */\
    793:       if (_k && _entry < _lnkdata) _lnkdata  = idx_start;\
    794:       do {\
    795:         _location = _lnkdata;\
    796:         _lnkdata  = lnk[_location];\
    797:       } while (_entry > _lnkdata);\
    798:       /* insertion location is found, add entry into lnk */\
    799:       lnk[_location] = _entry;\
    800:       lnk[_entry]    = _lnkdata;\
    801:       nlnk++;\
    802:       _lnkdata = _entry; /* next search starts from here if next_entry > _entry */\
    803:     }\
    804:   }\
    805: }

    807: /*
    808:   Add a permuted index set into a sorted linked list
    809:   Input Parameters:
    810:     nidx      - number of input indices
    811:     indices   - integer array
    812:     perm      - permutation of indices
    813:     idx_start - starting index of the list
    814:     lnk       - linked list(an integer array) that is created
    815:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    816:   output Parameters:
    817:     nlnk      - number of newly added indices
    818:     lnk       - the sorted(increasing order) linked list containing new and non-redundate entries from indices
    819:     bt        - updated PetscBT (bitarray)
    820: */
    821: #define PetscLLAddPerm(nidx,indices,perm,idx_start,nlnk,lnk,bt) 0;\
    822: {\
    823:   PetscInt _k,_entry,_location,_lnkdata;\
    824:   nlnk     = 0;\
    825:   _lnkdata = idx_start;\
    826:   for (_k=0; _k<nidx; _k++){\
    827:     _entry = perm[indices[_k]];\
    828:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    829:       /* search for insertion location */\
    830:       /* start from the beginning if _entry < previous _entry */\
    831:       if (_k && _entry < _lnkdata) _lnkdata  = idx_start;\
    832:       do {\
    833:         _location = _lnkdata;\
    834:         _lnkdata  = lnk[_location];\
    835:       } while (_entry > _lnkdata);\
    836:       /* insertion location is found, add entry into lnk */\
    837:       lnk[_location] = _entry;\
    838:       lnk[_entry]    = _lnkdata;\
    839:       nlnk++;\
    840:       _lnkdata = _entry; /* next search starts from here if next_entry > _entry */\
    841:     }\
    842:   }\
    843: }

    845: /*
    846:   Add a SORTED ascending index set into a sorted linked list - same as PetscLLAdd() bus skip 'if (_k && _entry < _lnkdata) _lnkdata  = idx_start;'
    847:   Input Parameters:
    848:     nidx      - number of input indices
    849:     indices   - sorted integer array
    850:     idx_start - starting index of the list
    851:     lnk       - linked list(an integer array) that is created
    852:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    853:   output Parameters:
    854:     nlnk      - number of newly added indices
    855:     lnk       - the sorted(increasing order) linked list containing new and non-redundate entries from indices
    856:     bt        - updated PetscBT (bitarray)
    857: */
    858: #define PetscLLAddSorted(nidx,indices,idx_start,nlnk,lnk,bt) 0;\
    859: {\
    860:   PetscInt _k,_entry,_location,_lnkdata;\
    861:   nlnk      = 0;\
    862:   _lnkdata  = idx_start;\
    863:   for (_k=0; _k<nidx; _k++){\
    864:     _entry = indices[_k];\
    865:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    866:       /* search for insertion location */\
    867:       do {\
    868:         _location = _lnkdata;\
    869:         _lnkdata  = lnk[_location];\
    870:       } while (_entry > _lnkdata);\
    871:       /* insertion location is found, add entry into lnk */\
    872:       lnk[_location] = _entry;\
    873:       lnk[_entry]    = _lnkdata;\
    874:       nlnk++;\
    875:       _lnkdata = _entry; /* next search starts from here */\
    876:     }\
    877:   }\
    878: }

    880: #define PetscLLAddSorted_new(nidx,indices,idx_start,lnk_empty,nlnk,lnk,bt) 0; \
    881: {\
    882:   PetscInt _k,_entry,_location,_lnkdata;\
    883:   if (lnk_empty){\
    884:     _lnkdata  = idx_start;                      \
    885:     for (_k=0; _k<nidx; _k++){                  \
    886:       _entry = indices[_k];                             \
    887:       PetscBTSet(bt,_entry);  /* mark the new entry */          \
    888:           _location = _lnkdata;                                 \
    889:           _lnkdata  = lnk[_location];                           \
    890:         /* insertion location is found, add entry into lnk */   \
    891:         lnk[_location] = _entry;                                \
    892:         lnk[_entry]    = _lnkdata;                              \
    893:         _lnkdata = _entry; /* next search starts from here */   \
    894:     }                                                           \
    895:     /*\
    896:     lnk[indices[nidx-1]] = lnk[idx_start];\
    897:     lnk[idx_start]       = indices[0];\
    898:     PetscBTSet(bt,indices[0]);  \
    899:     for (_k=1; _k<nidx; _k++){                  \
    900:       PetscBTSet(bt,indices[_k]);                                          \
    901:       lnk[indices[_k-1]] = indices[_k];                                  \
    902:     }                                                           \
    903:      */\
    904:     nlnk      = nidx;\
    905:     lnk_empty = PETSC_FALSE;\
    906:   } else {\
    907:     nlnk      = 0;                              \
    908:     _lnkdata  = idx_start;                      \
    909:     for (_k=0; _k<nidx; _k++){                  \
    910:       _entry = indices[_k];                             \
    911:       if (!PetscBTLookupSet(bt,_entry)){  /* new entry */       \
    912:         /* search for insertion location */                     \
    913:         do {                                                    \
    914:           _location = _lnkdata;                                 \
    915:           _lnkdata  = lnk[_location];                           \
    916:         } while (_entry > _lnkdata);                            \
    917:         /* insertion location is found, add entry into lnk */   \
    918:         lnk[_location] = _entry;                                \
    919:         lnk[_entry]    = _lnkdata;                              \
    920:         nlnk++;                                                 \
    921:         _lnkdata = _entry; /* next search starts from here */   \
    922:       }                                                         \
    923:     }                                                           \
    924:   }                                                             \
    925: }

    927: /*
    928:   Add a SORTED index set into a sorted linked list used for LUFactorSymbolic()
    929:   Same as PetscLLAddSorted() with an additional operation:
    930:        count the number of input indices that are no larger than 'diag'
    931:   Input Parameters:
    932:     indices   - sorted integer array
    933:     idx_start - starting index of the list, index of pivot row
    934:     lnk       - linked list(an integer array) that is created
    935:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    936:     diag      - index of the active row in LUFactorSymbolic
    937:     nzbd      - number of input indices with indices <= idx_start
    938:     im        - im[idx_start] is initialized as num of nonzero entries in row=idx_start
    939:   output Parameters:
    940:     nlnk      - number of newly added indices
    941:     lnk       - the sorted(increasing order) linked list containing new and non-redundate entries from indices
    942:     bt        - updated PetscBT (bitarray)
    943:     im        - im[idx_start]: unchanged if diag is not an entry
    944:                              : num of entries with indices <= diag if diag is an entry
    945: */
    946: #define PetscLLAddSortedLU(indices,idx_start,nlnk,lnk,bt,diag,nzbd,im) 0;\
    947: {\
    948:   PetscInt _k,_entry,_location,_lnkdata,_nidx;\
    949:   nlnk     = 0;\
    950:   _lnkdata = idx_start;\
    951:   _nidx = im[idx_start] - nzbd; /* num of entries with idx_start < index <= diag */\
    952:   for (_k=0; _k<_nidx; _k++){\
    953:     _entry = indices[_k];\
    954:     nzbd++;\
    955:     if ( _entry== diag) im[idx_start] = nzbd;\
    956:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    957:       /* search for insertion location */\
    958:       do {\
    959:         _location = _lnkdata;\
    960:         _lnkdata  = lnk[_location];\
    961:       } while (_entry > _lnkdata);\
    962:       /* insertion location is found, add entry into lnk */\
    963:       lnk[_location] = _entry;\
    964:       lnk[_entry]    = _lnkdata;\
    965:       nlnk++;\
    966:       _lnkdata = _entry; /* next search starts from here */\
    967:     }\
    968:   }\
    969: }

    971: /*
    972:   Copy data on the list into an array, then initialize the list
    973:   Input Parameters:
    974:     idx_start - starting index of the list
    975:     lnk_max   - max value of lnk indicating the end of the list
    976:     nlnk      - number of data on the list to be copied
    977:     lnk       - linked list
    978:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    979:   output Parameters:
    980:     indices   - array that contains the copied data
    981:     lnk       - linked list that is cleaned and initialize
    982:     bt        - PetscBT (bitarray) with all bits set to false
    983: */
    984: #define PetscLLClean(idx_start,lnk_max,nlnk,lnk,indices,bt) 0;\
    985: {\
    986:   PetscInt _j,_idx=idx_start;\
    987:   for (_j=0; _j<nlnk; _j++){\
    988:     _idx = lnk[_idx];\
    989:     indices[_j] = _idx;\
    990:     PetscBTClear(bt,_idx);\
    991:   }\
    992:   lnk[idx_start] = lnk_max;\
    993: }
    994: /*
    995:   Free memories used by the list
    996: */
    997: #define PetscLLDestroy(lnk,bt) (PetscFree(lnk) || PetscBTDestroy(&(bt)))

    999: /* Routines below are used for incomplete matrix factorization */
    1000: /*
    1001:   Create and initialize a linked list and its levels
    1002:   Input Parameters:
    1003:     idx_start - starting index of the list
    1004:     lnk_max   - max value of lnk indicating the end of the list
    1005:     nlnk      - max length of the list
    1006:   Output Parameters:
    1007:     lnk       - list initialized
    1008:     lnk_lvl   - array of size nlnk for storing levels of lnk
    1009:     bt        - PetscBT (bitarray) with all bits set to false
    1010: */
    1011: #define PetscIncompleteLLCreate(idx_start,lnk_max,nlnk,lnk,lnk_lvl,bt)\
    1012:   (PetscIntMultError(2,nlnk,NULL) || PetscMalloc1(2*nlnk,&lnk) || PetscBTCreate(nlnk,&(bt)) || (lnk[idx_start] = lnk_max,lnk_lvl = lnk + nlnk,0))

    1014: /*
    1015:   Initialize a sorted linked list used for ILU and ICC
    1016:   Input Parameters:
    1017:     nidx      - number of input idx
    1018:     idx       - integer array used for storing column indices
    1019:     idx_start - starting index of the list
    1020:     perm      - indices of an IS
    1021:     lnk       - linked list(an integer array) that is created
    1022:     lnklvl    - levels of lnk
    1023:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    1024:   output Parameters:
    1025:     nlnk     - number of newly added idx
    1026:     lnk      - the sorted(increasing order) linked list containing new and non-redundate entries from idx
    1027:     lnklvl   - levels of lnk
    1028:     bt       - updated PetscBT (bitarray)
    1029: */
    1030: #define PetscIncompleteLLInit(nidx,idx,idx_start,perm,nlnk,lnk,lnklvl,bt) 0;\
    1031: {\
    1032:   PetscInt _k,_entry,_location,_lnkdata;\
    1033:   nlnk     = 0;\
    1034:   _lnkdata = idx_start;\
    1035:   for (_k=0; _k<nidx; _k++){\
    1036:     _entry = perm[idx[_k]];\
    1037:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    1038:       /* search for insertion location */\
    1039:       if (_k && _entry < _lnkdata) _lnkdata  = idx_start;\
    1040:       do {\
    1041:         _location = _lnkdata;\
    1042:         _lnkdata  = lnk[_location];\
    1043:       } while (_entry > _lnkdata);\
    1044:       /* insertion location is found, add entry into lnk */\
    1045:       lnk[_location]  = _entry;\
    1046:       lnk[_entry]     = _lnkdata;\
    1047:       lnklvl[_entry] = 0;\
    1048:       nlnk++;\
    1049:       _lnkdata = _entry; /* next search starts from here if next_entry > _entry */\
    1050:     }\
    1051:   }\
    1052: }

    1054: /*
    1055:   Add a SORTED index set into a sorted linked list for ILU
    1056:   Input Parameters:
    1057:     nidx      - number of input indices
    1058:     idx       - sorted integer array used for storing column indices
    1059:     level     - level of fill, e.g., ICC(level)
    1060:     idxlvl    - level of idx
    1061:     idx_start - starting index of the list
    1062:     lnk       - linked list(an integer array) that is created
    1063:     lnklvl    - levels of lnk
    1064:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    1065:     prow      - the row number of idx
    1066:   output Parameters:
    1067:     nlnk     - number of newly added idx
    1068:     lnk      - the sorted(increasing order) linked list containing new and non-redundate entries from idx
    1069:     lnklvl   - levels of lnk
    1070:     bt       - updated PetscBT (bitarray)

    1072:   Note: the level of factor(i,j) is set as lvl(i,j) = min{ lvl(i,j), lvl(i,prow)+lvl(prow,j)+1)
    1073:         where idx = non-zero columns of U(prow,prow+1:n-1), prow<i
    1074: */
    1075: #define PetscILULLAddSorted(nidx,idx,level,idxlvl,idx_start,nlnk,lnk,lnklvl,bt,lnklvl_prow) 0;\
    1076: {\
    1077:   PetscInt _k,_entry,_location,_lnkdata,_incrlev,_lnklvl_prow=lnklvl[prow];\
    1078:   nlnk     = 0;\
    1079:   _lnkdata = idx_start;\
    1080:   for (_k=0; _k<nidx; _k++){\
    1081:     _incrlev = idxlvl[_k] + _lnklvl_prow + 1;\
    1082:     if (_incrlev > level) continue;\
    1083:     _entry = idx[_k];\
    1084:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    1085:       /* search for insertion location */\
    1086:       do {\
    1087:         _location = _lnkdata;\
    1088:         _lnkdata  = lnk[_location];\
    1089:       } while (_entry > _lnkdata);\
    1090:       /* insertion location is found, add entry into lnk */\
    1091:       lnk[_location]  = _entry;\
    1092:       lnk[_entry]     = _lnkdata;\
    1093:       lnklvl[_entry] = _incrlev;\
    1094:       nlnk++;\
    1095:       _lnkdata = _entry; /* next search starts from here if next_entry > _entry */\
    1096:     } else { /* existing entry: update lnklvl */\
    1097:       if (lnklvl[_entry] > _incrlev) lnklvl[_entry] = _incrlev;\
    1098:     }\
    1099:   }\
    1100: }

    1102: /*
    1103:   Add a index set into a sorted linked list
    1104:   Input Parameters:
    1105:     nidx      - number of input idx
    1106:     idx   - integer array used for storing column indices
    1107:     level     - level of fill, e.g., ICC(level)
    1108:     idxlvl - level of idx
    1109:     idx_start - starting index of the list
    1110:     lnk       - linked list(an integer array) that is created
    1111:     lnklvl   - levels of lnk
    1112:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    1113:   output Parameters:
    1114:     nlnk      - number of newly added idx
    1115:     lnk       - the sorted(increasing order) linked list containing new and non-redundate entries from idx
    1116:     lnklvl   - levels of lnk
    1117:     bt        - updated PetscBT (bitarray)
    1118: */
    1119: #define PetscIncompleteLLAdd(nidx,idx,level,idxlvl,idx_start,nlnk,lnk,lnklvl,bt) 0;\
    1120: {\
    1121:   PetscInt _k,_entry,_location,_lnkdata,_incrlev;\
    1122:   nlnk     = 0;\
    1123:   _lnkdata = idx_start;\
    1124:   for (_k=0; _k<nidx; _k++){\
    1125:     _incrlev = idxlvl[_k] + 1;\
    1126:     if (_incrlev > level) continue;\
    1127:     _entry = idx[_k];\
    1128:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    1129:       /* search for insertion location */\
    1130:       if (_k && _entry < _lnkdata) _lnkdata  = idx_start;\
    1131:       do {\
    1132:         _location = _lnkdata;\
    1133:         _lnkdata  = lnk[_location];\
    1134:       } while (_entry > _lnkdata);\
    1135:       /* insertion location is found, add entry into lnk */\
    1136:       lnk[_location]  = _entry;\
    1137:       lnk[_entry]     = _lnkdata;\
    1138:       lnklvl[_entry] = _incrlev;\
    1139:       nlnk++;\
    1140:       _lnkdata = _entry; /* next search starts from here if next_entry > _entry */\
    1141:     } else { /* existing entry: update lnklvl */\
    1142:       if (lnklvl[_entry] > _incrlev) lnklvl[_entry] = _incrlev;\
    1143:     }\
    1144:   }\
    1145: }

    1147: /*
    1148:   Add a SORTED index set into a sorted linked list
    1149:   Input Parameters:
    1150:     nidx      - number of input indices
    1151:     idx   - sorted integer array used for storing column indices
    1152:     level     - level of fill, e.g., ICC(level)
    1153:     idxlvl - level of idx
    1154:     idx_start - starting index of the list
    1155:     lnk       - linked list(an integer array) that is created
    1156:     lnklvl    - levels of lnk
    1157:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    1158:   output Parameters:
    1159:     nlnk      - number of newly added idx
    1160:     lnk       - the sorted(increasing order) linked list containing new and non-redundate entries from idx
    1161:     lnklvl    - levels of lnk
    1162:     bt        - updated PetscBT (bitarray)
    1163: */
    1164: #define PetscIncompleteLLAddSorted(nidx,idx,level,idxlvl,idx_start,nlnk,lnk,lnklvl,bt) 0;\
    1165: {\
    1166:   PetscInt _k,_entry,_location,_lnkdata,_incrlev;\
    1167:   nlnk = 0;\
    1168:   _lnkdata = idx_start;\
    1169:   for (_k=0; _k<nidx; _k++){\
    1170:     _incrlev = idxlvl[_k] + 1;\
    1171:     if (_incrlev > level) continue;\
    1172:     _entry = idx[_k];\
    1173:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    1174:       /* search for insertion location */\
    1175:       do {\
    1176:         _location = _lnkdata;\
    1177:         _lnkdata  = lnk[_location];\
    1178:       } while (_entry > _lnkdata);\
    1179:       /* insertion location is found, add entry into lnk */\
    1180:       lnk[_location] = _entry;\
    1181:       lnk[_entry]    = _lnkdata;\
    1182:       lnklvl[_entry] = _incrlev;\
    1183:       nlnk++;\
    1184:       _lnkdata = _entry; /* next search starts from here */\
    1185:     } else { /* existing entry: update lnklvl */\
    1186:       if (lnklvl[_entry] > _incrlev) lnklvl[_entry] = _incrlev;\
    1187:     }\
    1188:   }\
    1189: }

    1191: /*
    1192:   Add a SORTED index set into a sorted linked list for ICC
    1193:   Input Parameters:
    1194:     nidx      - number of input indices
    1195:     idx       - sorted integer array used for storing column indices
    1196:     level     - level of fill, e.g., ICC(level)
    1197:     idxlvl    - level of idx
    1198:     idx_start - starting index of the list
    1199:     lnk       - linked list(an integer array) that is created
    1200:     lnklvl    - levels of lnk
    1201:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    1202:     idxlvl_prow - idxlvl[prow], where prow is the row number of the idx
    1203:   output Parameters:
    1204:     nlnk   - number of newly added indices
    1205:     lnk    - the sorted(increasing order) linked list containing new and non-redundate entries from idx
    1206:     lnklvl - levels of lnk
    1207:     bt     - updated PetscBT (bitarray)
    1208:   Note: the level of U(i,j) is set as lvl(i,j) = min{ lvl(i,j), lvl(prow,i)+lvl(prow,j)+1)
    1209:         where idx = non-zero columns of U(prow,prow+1:n-1), prow<i
    1210: */
    1211: #define PetscICCLLAddSorted(nidx,idx,level,idxlvl,idx_start,nlnk,lnk,lnklvl,bt,idxlvl_prow) 0;\
    1212: {\
    1213:   PetscInt _k,_entry,_location,_lnkdata,_incrlev;\
    1214:   nlnk = 0;\
    1215:   _lnkdata = idx_start;\
    1216:   for (_k=0; _k<nidx; _k++){\
    1217:     _incrlev = idxlvl[_k] + idxlvl_prow + 1;\
    1218:     if (_incrlev > level) continue;\
    1219:     _entry = idx[_k];\
    1220:     if (!PetscBTLookupSet(bt,_entry)){  /* new entry */\
    1221:       /* search for insertion location */\
    1222:       do {\
    1223:         _location = _lnkdata;\
    1224:         _lnkdata  = lnk[_location];\
    1225:       } while (_entry > _lnkdata);\
    1226:       /* insertion location is found, add entry into lnk */\
    1227:       lnk[_location] = _entry;\
    1228:       lnk[_entry]    = _lnkdata;\
    1229:       lnklvl[_entry] = _incrlev;\
    1230:       nlnk++;\
    1231:       _lnkdata = _entry; /* next search starts from here */\
    1232:     } else { /* existing entry: update lnklvl */\
    1233:       if (lnklvl[_entry] > _incrlev) lnklvl[_entry] = _incrlev;\
    1234:     }\
    1235:   }\
    1236: }

    1238: /*
    1239:   Copy data on the list into an array, then initialize the list
    1240:   Input Parameters:
    1241:     idx_start - starting index of the list
    1242:     lnk_max   - max value of lnk indicating the end of the list
    1243:     nlnk      - number of data on the list to be copied
    1244:     lnk       - linked list
    1245:     lnklvl    - level of lnk
    1246:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    1247:   output Parameters:
    1248:     indices - array that contains the copied data
    1249:     lnk     - linked list that is cleaned and initialize
    1250:     lnklvl  - level of lnk that is reinitialized
    1251:     bt      - PetscBT (bitarray) with all bits set to false
    1252: */
    1253: #define PetscIncompleteLLClean(idx_start,lnk_max,nlnk,lnk,lnklvl,indices,indiceslvl,bt) 0;\
    1254: do {\
    1255:   PetscInt _j,_idx=idx_start;\
    1256:   for (_j=0; _j<nlnk; _j++){\
    1257:     _idx = lnk[_idx];\
    1258:     *(indices+_j) = _idx;\
    1259:     *(indiceslvl+_j) = lnklvl[_idx];\
    1260:     lnklvl[_idx] = -1;\
    1261:     PetscBTClear(bt,_idx);\
    1262:   }\
    1263:   lnk[idx_start] = lnk_max;\
    1264: } while (0)
    1265: /*
    1266:   Free memories used by the list
    1267: */
    1268: #define PetscIncompleteLLDestroy(lnk,bt) (PetscFree(lnk) || PetscBTDestroy(&(bt)))

    1270: #define MatCheckSameLocalSize(A,ar1,B,ar2) do { \
    1272:   if ((A->rmap->n != B->rmap->n) || (A->cmap->n != B->cmap->n)) SETERRQ6(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Incompatible matrix local sizes: parameter # %d (%D x %D) != parameter # %d (%D x %D)",ar1,A->rmap->n,A->cmap->n,ar2,B->rmap->n,B->cmap->n);} while (0)

    1274: #define MatCheckSameSize(A,ar1,B,ar2) do { \
    1275:   if ((A->rmap->N != B->rmap->N) || (A->cmap->N != B->cmap->N)) SETERRQ6(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_INCOMP,"Incompatible matrix global sizes: parameter # %d (%D x %D) != parameter # %d (%D x %D)",ar1,A->rmap->N,A->cmap->N,ar2,B->rmap->N,B->cmap->N);\
    1276:   MatCheckSameLocalSize(A,ar1,B,ar2);} while (0)

    1278: #define VecCheckMatCompatible(M,x,ar1,b,ar2) do { \
    1279:   if (M->cmap->N != x->map->N) SETERRQ3(PetscObjectComm((PetscObject)M),PETSC_ERR_ARG_SIZ,"Vector global length incompatible with matrix: parameter # %d global size %D != matrix column global size %D",ar1,x->map->N,M->cmap->N); \
    1280:   if (M->rmap->N != b->map->N) SETERRQ3(PetscObjectComm((PetscObject)M),PETSC_ERR_ARG_SIZ,"Vector global length incompatible with matrix: parameter # %d global size %D != matrix row global size %D",ar2,b->map->N,M->rmap->N);} while (0)

    1282: /* -------------------------------------------------------------------------------------------------------*/
    1283:  #include <petscbt.h>
    1284: /*
    1285:   Create and initialize a condensed linked list -
    1286:     same as PetscLLCreate(), but uses a scalable array 'lnk' with size of max number of entries, not O(N).
    1287:     Barry suggested this approach (Dec. 6, 2011):
    1288:       I've thought of an alternative way of representing a linked list that is efficient but doesn't have the O(N) scaling issue
    1289:       (it may be faster than the O(N) even sequentially due to less crazy memory access).

    1291:       Instead of having some like  a  2  -> 4 -> 11 ->  22  list that uses slot 2  4 11 and 22 in a big array use a small array with two slots
    1292:       for each entry for example  [ 2 1 | 4 3 | 22 -1 | 11 2]   so the first number (of the pair) is the value while the second tells you where
    1293:       in the list the next entry is. Inserting a new link means just append another pair at the end. For example say we want to insert 13 into the
    1294:       list it would then become [2 1 | 4 3 | 22 -1 | 11 4 | 13 2 ] you just add a pair at the end and fix the point for the one that points to it.
    1295:       That is 11 use to point to the 2 slot, after the change 11 points to the 4th slot which has the value 13. Note that values are always next
    1296:       to each other so memory access is much better than using the big array.

    1298:   Example:
    1299:      nlnk_max=5, lnk_max=36:
    1300:      Initial list: [0, 0 | 36, 2 | 0, 0 | 0, 0 | 0, 0 | 0, 0 | 0, 0]
    1301:      here, head_node has index 2 with value lnk[2]=lnk_max=36,
    1302:            0-th entry is used to store the number of entries in the list,
    1303:      The initial lnk represents head -> tail(marked by 36) with number of entries = lnk[0]=0.

    1305:      Now adding a sorted set {2,4}, the list becomes
    1306:      [2, 0 | 36, 4 |2, 6 | 4, 2 | 0, 0 | 0, 0 | 0, 0 ]
    1307:      represents head -> 2 -> 4 -> tail with number of entries = lnk[0]=2.

    1309:      Then adding a sorted set {0,3,35}, the list
    1310:      [5, 0 | 36, 8 | 2, 10 | 4, 12 | 0, 4 | 3, 6 | 35, 2 ]
    1311:      represents head -> 0 -> 2 -> 3 -> 4 -> 35 -> tail with number of entries = lnk[0]=5.

    1313:   Input Parameters:
    1314:     nlnk_max  - max length of the list
    1315:     lnk_max   - max value of the entries
    1316:   Output Parameters:
    1317:     lnk       - list created and initialized
    1318:     bt        - PetscBT (bitarray) with all bits set to false. Note: bt has size lnk_max, not nln_max!
    1319: */
    1320: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedCreate(PetscInt nlnk_max,PetscInt lnk_max,PetscInt **lnk,PetscBT *bt)
    1321: {
    1323:   PetscInt       *llnk,lsize = 0;

    1326:   PetscIntMultError(2,nlnk_max+2,&lsize);
    1327:   PetscMalloc1(lsize,lnk);
    1328:   PetscBTCreate(lnk_max,bt);
    1329:   llnk = *lnk;
    1330:   llnk[0] = 0;         /* number of entries on the list */
    1331:   llnk[2] = lnk_max;   /* value in the head node */
    1332:   llnk[3] = 2;         /* next for the head node */
    1333:   return(0);
    1334: }

    1336: /*
    1337:   Add a SORTED ascending index set into a sorted linked list. See PetscLLCondensedCreate() for detailed description.
    1338:   Input Parameters:
    1339:     nidx      - number of input indices
    1340:     indices   - sorted integer array
    1341:     lnk       - condensed linked list(an integer array) that is created
    1342:     bt        - PetscBT (bitarray), bt[idx]=true marks idx is in lnk
    1343:   output Parameters:
    1344:     lnk       - the sorted(increasing order) linked list containing previous and newly added non-redundate indices
    1345:     bt        - updated PetscBT (bitarray)
    1346: */
    1347: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedAddSorted(PetscInt nidx,const PetscInt indices[],PetscInt lnk[],PetscBT bt)
    1348: {
    1349:   PetscInt _k,_entry,_location,_next,_lnkdata,_nlnk,_newnode;

    1352:   _nlnk     = lnk[0]; /* num of entries on the input lnk */
    1353:   _location = 2; /* head */
    1354:     for (_k=0; _k<nidx; _k++){
    1355:       _entry = indices[_k];
    1356:       if (!PetscBTLookupSet(bt,_entry)){  /* new entry */
    1357:         /* search for insertion location */
    1358:         do {
    1359:           _next     = _location + 1; /* link from previous node to next node */
    1360:           _location = lnk[_next];    /* idx of next node */
    1361:           _lnkdata  = lnk[_location];/* value of next node */
    1362:         } while (_entry > _lnkdata);
    1363:         /* insertion location is found, add entry into lnk */
    1364:         _newnode        = 2*(_nlnk+2);   /* index for this new node */
    1365:         lnk[_next]      = _newnode;      /* connect previous node to the new node */
    1366:         lnk[_newnode]   = _entry;        /* set value of the new node */
    1367:         lnk[_newnode+1] = _location;     /* connect new node to next node */
    1368:         _location       = _newnode;      /* next search starts from the new node */
    1369:         _nlnk++;
    1370:       }   \
    1371:     }\
    1372:   lnk[0]   = _nlnk;   /* number of entries in the list */
    1373:   return(0);
    1374: }

    1376: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedClean(PetscInt lnk_max,PetscInt nidx,PetscInt *indices,PetscInt lnk[],PetscBT bt)
    1377: {
    1379:   PetscInt       _k,_next,_nlnk;

    1382:   _next = lnk[3];       /* head node */
    1383:   _nlnk = lnk[0];       /* num of entries on the list */
    1384:   for (_k=0; _k<_nlnk; _k++){
    1385:     indices[_k] = lnk[_next];
    1386:     _next       = lnk[_next + 1];
    1387:     PetscBTClear(bt,indices[_k]);
    1388:   }
    1389:   lnk[0] = 0;          /* num of entries on the list */
    1390:   lnk[2] = lnk_max;    /* initialize head node */
    1391:   lnk[3] = 2;          /* head node */
    1392:   return(0);
    1393: }

    1395: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedView(PetscInt *lnk)
    1396: {
    1398:   PetscInt       k;

    1401:   PetscPrintf(PETSC_COMM_SELF,"LLCondensed of size %D, (val,  next)\n",lnk[0]);
    1402:   for (k=2; k< lnk[0]+2; k++){
    1403:     PetscPrintf(PETSC_COMM_SELF," %D: (%D, %D)\n",2*k,lnk[2*k],lnk[2*k+1]);
    1404:   }
    1405:   return(0);
    1406: }

    1408: /*
    1409:   Free memories used by the list
    1410: */
    1411: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedDestroy(PetscInt *lnk,PetscBT bt)
    1412: {

    1416:   PetscFree(lnk);
    1417:   PetscBTDestroy(&bt);
    1418:   return(0);
    1419: }

    1421: /* -------------------------------------------------------------------------------------------------------*/
    1422: /*
    1423:  Same as PetscLLCondensedCreate(), but does not use non-scalable O(lnk_max) bitarray
    1424:   Input Parameters:
    1425:     nlnk_max  - max length of the list
    1426:   Output Parameters:
    1427:     lnk       - list created and initialized
    1428: */
    1429: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedCreate_Scalable(PetscInt nlnk_max,PetscInt **lnk)
    1430: {
    1432:   PetscInt       *llnk,lsize = 0;

    1435:   PetscIntMultError(2,nlnk_max+2,&lsize);
    1436:   PetscMalloc1(lsize,lnk);
    1437:   llnk = *lnk;
    1438:   llnk[0] = 0;               /* number of entries on the list */
    1439:   llnk[2] = PETSC_MAX_INT;   /* value in the head node */
    1440:   llnk[3] = 2;               /* next for the head node */
    1441:   return(0);
    1442: }

    1444: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedExpand_Scalable(PetscInt nlnk_max,PetscInt **lnk)
    1445: {
    1447:   PetscInt       lsize = 0;

    1450:   PetscIntMultError(2,nlnk_max+2,&lsize);
    1451:   PetscRealloc(lsize*sizeof(PetscInt),lnk);
    1452:   return(0);
    1453: }

    1455: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedAddSorted_Scalable(PetscInt nidx,const PetscInt indices[],PetscInt lnk[])
    1456: {
    1457:   PetscInt _k,_entry,_location,_next,_lnkdata,_nlnk,_newnode;
    1458:   _nlnk     = lnk[0]; /* num of entries on the input lnk */
    1459:   _location = 2; /* head */ \
    1460:     for (_k=0; _k<nidx; _k++){
    1461:       _entry = indices[_k];
    1462:       /* search for insertion location */
    1463:       do {
    1464:         _next     = _location + 1; /* link from previous node to next node */
    1465:         _location = lnk[_next];    /* idx of next node */
    1466:         _lnkdata  = lnk[_location];/* value of next node */
    1467:       } while (_entry > _lnkdata);
    1468:       if (_entry < _lnkdata) {
    1469:         /* insertion location is found, add entry into lnk */
    1470:         _newnode        = 2*(_nlnk+2);   /* index for this new node */
    1471:         lnk[_next]      = _newnode;      /* connect previous node to the new node */
    1472:         lnk[_newnode]   = _entry;        /* set value of the new node */
    1473:         lnk[_newnode+1] = _location;     /* connect new node to next node */
    1474:         _location       = _newnode;      /* next search starts from the new node */
    1475:         _nlnk++;
    1476:       }
    1477:     }
    1478:   lnk[0]   = _nlnk;   /* number of entries in the list */
    1479:   return 0;
    1480: }

    1482: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedClean_Scalable(PetscInt nidx,PetscInt *indices,PetscInt *lnk)
    1483: {
    1484:   PetscInt _k,_next,_nlnk;
    1485:   _next = lnk[3];       /* head node */
    1486:   _nlnk = lnk[0];
    1487:   for (_k=0; _k<_nlnk; _k++){
    1488:     indices[_k] = lnk[_next];
    1489:     _next       = lnk[_next + 1];
    1490:   }
    1491:   lnk[0] = 0;          /* num of entries on the list */
    1492:   lnk[3] = 2;          /* head node */
    1493:   return 0;
    1494: }

    1496: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedDestroy_Scalable(PetscInt *lnk)
    1497: {
    1498:   return PetscFree(lnk);
    1499: }

    1501: /* -------------------------------------------------------------------------------------------------------*/
    1502: /*
    1503:       lnk[0]   number of links
    1504:       lnk[1]   number of entries
    1505:       lnk[3n]  value
    1506:       lnk[3n+1] len
    1507:       lnk[3n+2] link to next value

    1509:       The next three are always the first link

    1511:       lnk[3]    PETSC_MIN_INT+1
    1512:       lnk[4]    1
    1513:       lnk[5]    link to first real entry

    1515:       The next three are always the last link

    1517:       lnk[6]    PETSC_MAX_INT - 1
    1518:       lnk[7]    1
    1519:       lnk[8]    next valid link (this is the same as lnk[0] but without the decreases)
    1520: */

    1522: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedCreate_fast(PetscInt nlnk_max,PetscInt **lnk)
    1523: {
    1525:   PetscInt       *llnk,lsize = 0;

    1528:   PetscIntMultError(3,nlnk_max+3,&lsize);
    1529:   PetscMalloc1(lsize,lnk);
    1530:   llnk = *lnk;
    1531:   llnk[0] = 0;   /* nlnk: number of entries on the list */
    1532:   llnk[1] = 0;          /* number of integer entries represented in list */
    1533:   llnk[3] = PETSC_MIN_INT+1;   /* value in the first node */
    1534:   llnk[4] = 1;           /* count for the first node */
    1535:   llnk[5] = 6;         /* next for the first node */
    1536:   llnk[6] = PETSC_MAX_INT-1;   /* value in the last node */
    1537:   llnk[7] = 1;           /* count for the last node */
    1538:   llnk[8] = 0;         /* next valid node to be used */
    1539:   return(0);
    1540: }

    1542: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedAddSorted_fast(PetscInt nidx,const PetscInt indices[],PetscInt lnk[])
    1543: {
    1544:   PetscInt k,entry,prev,next;
    1545:   prev      = 3;      /* first value */
    1546:   next      = lnk[prev+2];
    1547:   for (k=0; k<nidx; k++){
    1548:     entry = indices[k];
    1549:     /* search for insertion location */
    1550:     while (entry >= lnk[next]) {
    1551:       prev = next;
    1552:       next = lnk[next+2];
    1553:     }
    1554:     /* entry is in range of previous list */
    1555:     if (entry < lnk[prev]+lnk[prev+1]) continue;
    1556:     lnk[1]++;
    1557:     /* entry is right after previous list */
    1558:     if (entry == lnk[prev]+lnk[prev+1]) {
    1559:       lnk[prev+1]++;
    1560:       if (lnk[next] == entry+1) { /* combine two contiguous strings */
    1561:         lnk[prev+1] += lnk[next+1];
    1562:         lnk[prev+2]  = lnk[next+2];
    1563:         next         = lnk[next+2];
    1564:         lnk[0]--;
    1565:       }
    1566:       continue;
    1567:     }
    1568:     /* entry is right before next list */
    1569:     if (entry == lnk[next]-1) {
    1570:       lnk[next]--;
    1571:       lnk[next+1]++;
    1572:       prev = next;
    1573:       next = lnk[prev+2];
    1574:       continue;
    1575:     }
    1576:     /*  add entry into lnk */
    1577:     lnk[prev+2]    = 3*((lnk[8]++)+3);      /* connect previous node to the new node */
    1578:     prev           = lnk[prev+2];
    1579:     lnk[prev]      = entry;        /* set value of the new node */
    1580:     lnk[prev+1]    = 1;             /* number of values in contiguous string is one to start */
    1581:     lnk[prev+2]    = next;          /* connect new node to next node */
    1582:     lnk[0]++;
    1583:   }
    1584:   return 0;
    1585: }

    1587: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedClean_fast(PetscInt nidx,PetscInt *indices,PetscInt *lnk)
    1588: {
    1589:   PetscInt _k,_next,_nlnk,cnt,j;
    1590:   _next = lnk[5];       /* first node */
    1591:   _nlnk = lnk[0];
    1592:   cnt   = 0;
    1593:   for (_k=0; _k<_nlnk; _k++){
    1594:     for (j=0; j<lnk[_next+1]; j++) {
    1595:       indices[cnt++] = lnk[_next] + j;
    1596:     }
    1597:     _next       = lnk[_next + 2];
    1598:   }
    1599:   lnk[0] = 0;   /* nlnk: number of links */
    1600:   lnk[1] = 0;          /* number of integer entries represented in list */
    1601:   lnk[3] = PETSC_MIN_INT+1;   /* value in the first node */
    1602:   lnk[4] = 1;           /* count for the first node */
    1603:   lnk[5] = 6;         /* next for the first node */
    1604:   lnk[6] = PETSC_MAX_INT-1;   /* value in the last node */
    1605:   lnk[7] = 1;           /* count for the last node */
    1606:   lnk[8] = 0;         /* next valid location to make link */
    1607:   return 0;
    1608: }

    1610: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedView_fast(PetscInt *lnk)
    1611: {
    1612:   PetscInt k,next,nlnk;
    1613:   next = lnk[5];       /* first node */
    1614:   nlnk = lnk[0];
    1615:   for (k=0; k<nlnk; k++){
    1616: #if 0                           /* Debugging code */
    1617:     printf("%d value %d len %d next %d\n",next,lnk[next],lnk[next+1],lnk[next+2]);
    1618: #endif
    1619:     next = lnk[next + 2];
    1620:   }
    1621:   return 0;
    1622: }

    1624: PETSC_STATIC_INLINE PetscErrorCode PetscLLCondensedDestroy_fast(PetscInt *lnk)
    1625: {
    1626:   return PetscFree(lnk);
    1627: }

    1629: /* this is extern because it is used in MatFDColoringUseDM() which is in the DM library */
    1630: PETSC_EXTERN PetscErrorCode MatFDColoringApply_AIJ(Mat,MatFDColoring,Vec,void*);

    1632: PETSC_EXTERN PetscLogEvent MAT_Mult;
    1633: PETSC_EXTERN PetscLogEvent MAT_MultMatrixFree;
    1634: PETSC_EXTERN PetscLogEvent MAT_Mults;
    1635: PETSC_EXTERN PetscLogEvent MAT_MultConstrained;
    1636: PETSC_EXTERN PetscLogEvent MAT_MultAdd;
    1637: PETSC_EXTERN PetscLogEvent MAT_MultTranspose;
    1638: PETSC_EXTERN PetscLogEvent MAT_MultTransposeConstrained;
    1639: PETSC_EXTERN PetscLogEvent MAT_MultTransposeAdd;
    1640: PETSC_EXTERN PetscLogEvent MAT_Solve;
    1641: PETSC_EXTERN PetscLogEvent MAT_Solves;
    1642: PETSC_EXTERN PetscLogEvent MAT_SolveAdd;
    1643: PETSC_EXTERN PetscLogEvent MAT_SolveTranspose;
    1644: PETSC_EXTERN PetscLogEvent MAT_SolveTransposeAdd;
    1645: PETSC_EXTERN PetscLogEvent MAT_SOR;
    1646: PETSC_EXTERN PetscLogEvent MAT_ForwardSolve;
    1647: PETSC_EXTERN PetscLogEvent MAT_BackwardSolve;
    1648: PETSC_EXTERN PetscLogEvent MAT_LUFactor;
    1649: PETSC_EXTERN PetscLogEvent MAT_LUFactorSymbolic;
    1650: PETSC_EXTERN PetscLogEvent MAT_LUFactorNumeric;
    1651: PETSC_EXTERN PetscLogEvent MAT_CholeskyFactor;
    1652: PETSC_EXTERN PetscLogEvent MAT_CholeskyFactorSymbolic;
    1653: PETSC_EXTERN PetscLogEvent MAT_CholeskyFactorNumeric;
    1654: PETSC_EXTERN PetscLogEvent MAT_ILUFactor;
    1655: PETSC_EXTERN PetscLogEvent MAT_ILUFactorSymbolic;
    1656: PETSC_EXTERN PetscLogEvent MAT_ICCFactorSymbolic;
    1657: PETSC_EXTERN PetscLogEvent MAT_Copy;
    1658: PETSC_EXTERN PetscLogEvent MAT_Convert;
    1659: PETSC_EXTERN PetscLogEvent MAT_Scale;
    1660: PETSC_EXTERN PetscLogEvent MAT_AssemblyBegin;
    1661: PETSC_EXTERN PetscLogEvent MAT_AssemblyEnd;
    1662: PETSC_EXTERN PetscLogEvent MAT_SetValues;
    1663: PETSC_EXTERN PetscLogEvent MAT_GetValues;
    1664: PETSC_EXTERN PetscLogEvent MAT_GetRow;
    1665: PETSC_EXTERN PetscLogEvent MAT_GetRowIJ;
    1666: PETSC_EXTERN PetscLogEvent MAT_CreateSubMats;
    1667: PETSC_EXTERN PetscLogEvent MAT_GetColoring;
    1668: PETSC_EXTERN PetscLogEvent MAT_GetOrdering;
    1669: PETSC_EXTERN PetscLogEvent MAT_RedundantMat;
    1670: PETSC_EXTERN PetscLogEvent MAT_IncreaseOverlap;
    1671: PETSC_EXTERN PetscLogEvent MAT_Partitioning;
    1672: PETSC_EXTERN PetscLogEvent MAT_PartitioningND;
    1673: PETSC_EXTERN PetscLogEvent MAT_Coarsen;
    1674: PETSC_EXTERN PetscLogEvent MAT_ZeroEntries;
    1675: PETSC_EXTERN PetscLogEvent MAT_Load;
    1676: PETSC_EXTERN PetscLogEvent MAT_View;
    1677: PETSC_EXTERN PetscLogEvent MAT_AXPY;
    1678: PETSC_EXTERN PetscLogEvent MAT_FDColoringCreate;
    1679: PETSC_EXTERN PetscLogEvent MAT_TransposeColoringCreate;
    1680: PETSC_EXTERN PetscLogEvent MAT_FDColoringSetUp;
    1681: PETSC_EXTERN PetscLogEvent MAT_FDColoringApply;
    1682: PETSC_EXTERN PetscLogEvent MAT_Transpose;
    1683: PETSC_EXTERN PetscLogEvent MAT_FDColoringFunction;
    1684: PETSC_EXTERN PetscLogEvent MAT_CreateSubMat;
    1685: PETSC_EXTERN PetscLogEvent MAT_MatMult;
    1686: PETSC_EXTERN PetscLogEvent MAT_MatSolve;
    1687: PETSC_EXTERN PetscLogEvent MAT_MatTrSolve;
    1688: PETSC_EXTERN PetscLogEvent MAT_MatMultSymbolic;
    1689: PETSC_EXTERN PetscLogEvent MAT_MatMultNumeric;
    1690: PETSC_EXTERN PetscLogEvent MAT_Getlocalmatcondensed;
    1691: PETSC_EXTERN PetscLogEvent MAT_GetBrowsOfAcols;
    1692: PETSC_EXTERN PetscLogEvent MAT_GetBrowsOfAocols;
    1693: PETSC_EXTERN PetscLogEvent MAT_PtAP;
    1694: PETSC_EXTERN PetscLogEvent MAT_PtAPSymbolic;
    1695: PETSC_EXTERN PetscLogEvent MAT_PtAPNumeric;
    1696: PETSC_EXTERN PetscLogEvent MAT_Seqstompinum;
    1697: PETSC_EXTERN PetscLogEvent MAT_Seqstompisym;
    1698: PETSC_EXTERN PetscLogEvent MAT_Seqstompi;
    1699: PETSC_EXTERN PetscLogEvent MAT_Getlocalmat;
    1700: PETSC_EXTERN PetscLogEvent MAT_RARt;
    1701: PETSC_EXTERN PetscLogEvent MAT_RARtSymbolic;
    1702: PETSC_EXTERN PetscLogEvent MAT_RARtNumeric;
    1703: PETSC_EXTERN PetscLogEvent MAT_MatTransposeMult;
    1704: PETSC_EXTERN PetscLogEvent MAT_MatTransposeMultSymbolic;
    1705: PETSC_EXTERN PetscLogEvent MAT_MatTransposeMultNumeric;
    1706: PETSC_EXTERN PetscLogEvent MAT_TransposeMatMult;
    1707: PETSC_EXTERN PetscLogEvent MAT_TransposeMatMultSymbolic;
    1708: PETSC_EXTERN PetscLogEvent MAT_TransposeMatMultNumeric;
    1709: PETSC_EXTERN PetscLogEvent MAT_MatMatMult;
    1710: PETSC_EXTERN PetscLogEvent MAT_MatMatMultSymbolic;
    1711: PETSC_EXTERN PetscLogEvent MAT_MatMatMultNumeric;
    1712: PETSC_EXTERN PetscLogEvent MAT_Applypapt;
    1713: PETSC_EXTERN PetscLogEvent MAT_Applypapt_symbolic;
    1714: PETSC_EXTERN PetscLogEvent MAT_Applypapt_numeric;
    1715: PETSC_EXTERN PetscLogEvent MAT_Getsymtranspose;
    1716: PETSC_EXTERN PetscLogEvent MAT_Getsymtransreduced;
    1717: PETSC_EXTERN PetscLogEvent MAT_GetSequentialNonzeroStructure;
    1718: PETSC_EXTERN PetscLogEvent MATMFFD_Mult;
    1719: PETSC_EXTERN PetscLogEvent MAT_GetMultiProcBlock;
    1720: PETSC_EXTERN PetscLogEvent MAT_CUSPARSECopyToGPU;
    1721: PETSC_EXTERN PetscLogEvent MAT_SetValuesBatch;
    1722: PETSC_EXTERN PetscLogEvent MAT_ViennaCLCopyToGPU;
    1723: PETSC_EXTERN PetscLogEvent MAT_DenseCopyToGPU;
    1724: PETSC_EXTERN PetscLogEvent MAT_DenseCopyFromGPU;
    1725: PETSC_EXTERN PetscLogEvent MAT_Merge;
    1726: PETSC_EXTERN PetscLogEvent MAT_Residual;
    1727: PETSC_EXTERN PetscLogEvent MAT_SetRandom;
    1728: PETSC_EXTERN PetscLogEvent MAT_FactorFactS;
    1729: PETSC_EXTERN PetscLogEvent MAT_FactorInvS;
    1730: PETSC_EXTERN PetscLogEvent MATCOLORING_Apply;
    1731: PETSC_EXTERN PetscLogEvent MATCOLORING_Comm;
    1732: PETSC_EXTERN PetscLogEvent MATCOLORING_Local;
    1733: PETSC_EXTERN PetscLogEvent MATCOLORING_ISCreate;
    1734: PETSC_EXTERN PetscLogEvent MATCOLORING_SetUp;
    1735: PETSC_EXTERN PetscLogEvent MATCOLORING_Weights;

    1737: #endif