Actual source code: mpiaijviennacl.cxx
petsc-3.15.0 2021-03-30
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      1: #define PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND 1

      3: #include <petscconf.h>
      4: #include <../src/mat/impls/aij/mpi/mpiaij.h>
      5: #include <../src/mat/impls/aij/seq/seqviennacl/viennaclmatimpl.h>

      7: PetscErrorCode  MatMPIAIJSetPreallocation_MPIAIJViennaCL(Mat B,PetscInt d_nz,const PetscInt d_nnz[],PetscInt o_nz,const PetscInt o_nnz[])
      8: {
      9:   Mat_MPIAIJ     *b = (Mat_MPIAIJ*)B->data;

     13:   PetscLayoutSetUp(B->rmap);
     14:   PetscLayoutSetUp(B->cmap);
     15:   if (!B->preallocated) {
     16:     /* Explicitly create the two MATSEQAIJVIENNACL matrices. */
     17:     MatCreate(PETSC_COMM_SELF,&b->A);
     18:     MatSetSizes(b->A,B->rmap->n,B->cmap->n,B->rmap->n,B->cmap->n);
     19:     MatSetType(b->A,MATSEQAIJVIENNACL);
     20:     PetscLogObjectParent((PetscObject)B,(PetscObject)b->A);
     21:     MatCreate(PETSC_COMM_SELF,&b->B);
     22:     MatSetSizes(b->B,B->rmap->n,B->cmap->N,B->rmap->n,B->cmap->N);
     23:     MatSetType(b->B,MATSEQAIJVIENNACL);
     24:     PetscLogObjectParent((PetscObject)B,(PetscObject)b->B);
     25:   }
     26:   MatSeqAIJSetPreallocation(b->A,d_nz,d_nnz);
     27:   MatSeqAIJSetPreallocation(b->B,o_nz,o_nnz);
     28:   B->preallocated = PETSC_TRUE;
     29:   return(0);
     30: }

     32: PetscErrorCode MatAssemblyEnd_MPIAIJViennaCL(Mat A,MatAssemblyType mode)
     33: {
     34:   Mat_MPIAIJ     *b = (Mat_MPIAIJ*)A->data;
     36:   PetscBool      v;

     39:   MatAssemblyEnd_MPIAIJ(A,mode);
     40:   PetscObjectTypeCompare((PetscObject)b->lvec,VECSEQVIENNACL,&v);
     41:   if (!v) {
     42:     PetscInt m;
     43:     VecGetSize(b->lvec,&m);
     44:     VecDestroy(&b->lvec);
     45:     VecCreateSeqViennaCL(PETSC_COMM_SELF,m,&b->lvec);
     46:   }
     47:   return(0);
     48: }

     50: PetscErrorCode MatDestroy_MPIAIJViennaCL(Mat A)
     51: {

     55:   MatDestroy_MPIAIJ(A);
     56:   return(0);
     57: }

     59: PETSC_EXTERN PetscErrorCode MatCreate_MPIAIJViennaCL(Mat A)
     60: {

     64:   MatCreate_MPIAIJ(A);
     65:   A->boundtocpu = PETSC_FALSE;
     66:   PetscFree(A->defaultvectype);
     67:   PetscStrallocpy(VECVIENNACL,&A->defaultvectype);
     68:   PetscObjectComposeFunction((PetscObject)A,"MatMPIAIJSetPreallocation_C",MatMPIAIJSetPreallocation_MPIAIJViennaCL);
     69:   A->ops->assemblyend = MatAssemblyEnd_MPIAIJViennaCL;
     70:   PetscObjectChangeTypeName((PetscObject)A,MATMPIAIJVIENNACL);
     71:   return(0);
     72: }

     75: /*@C
     76:    MatCreateAIJViennaCL - Creates a sparse matrix in AIJ (compressed row) format
     77:    (the default parallel PETSc format).  This matrix will ultimately be pushed down
     78:    to GPUs and use the ViennaCL library for calculations. For good matrix
     79:    assembly performance the user should preallocate the matrix storage by setting
     80:    the parameter nz (or the array nnz).  By setting these parameters accurately,
     81:    performance during matrix assembly can be increased substantially.

     84:    Collective

     86:    Input Parameters:
     87: +  comm - MPI communicator, set to PETSC_COMM_SELF
     88: .  m - number of rows
     89: .  n - number of columns
     90: .  nz - number of nonzeros per row (same for all rows)
     91: -  nnz - array containing the number of nonzeros in the various rows
     92:          (possibly different for each row) or NULL

     94:    Output Parameter:
     95: .  A - the matrix

     97:    It is recommended that one use the MatCreate(), MatSetType() and/or MatSetFromOptions(),
     98:    MatXXXXSetPreallocation() paradigm instead of this routine directly.
     99:    [MatXXXXSetPreallocation() is, for example, MatSeqAIJSetPreallocation]

    101:    Notes:
    102:    If nnz is given then nz is ignored

    104:    The AIJ format (also called the Yale sparse matrix format or
    105:    compressed row storage), is fully compatible with standard Fortran 77
    106:    storage.  That is, the stored row and column indices can begin at
    107:    either one (as in Fortran) or zero.  See the users' manual for details.

    109:    Specify the preallocated storage with either nz or nnz (not both).
    110:    Set nz=PETSC_DEFAULT and nnz=NULL for PETSc to control dynamic memory
    111:    allocation.  For large problems you MUST preallocate memory or you
    112:    will get TERRIBLE performance, see the users' manual chapter on matrices.

    114:    Level: intermediate

    116: .seealso: MatCreate(), MatCreateAIJ(), MatCreateAIJCUSPARSE(), MatSetValues(), MatSeqAIJSetColumnIndices(), MatCreateSeqAIJWithArrays(), MatCreateAIJ(), MATMPIAIJVIENNACL, MATAIJVIENNACL
    117: @*/
    118: PetscErrorCode  MatCreateAIJViennaCL(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt d_nz,const PetscInt d_nnz[],PetscInt o_nz,const PetscInt o_nnz[],Mat *A)
    119: {
    121:   PetscMPIInt    size;

    124:   MatCreate(comm,A);
    125:   MatSetSizes(*A,m,n,M,N);
    126:   MPI_Comm_size(comm,&size);
    127:   if (size > 1) {
    128:     MatSetType(*A,MATMPIAIJVIENNACL);
    129:     MatMPIAIJSetPreallocation(*A,d_nz,d_nnz,o_nz,o_nnz);
    130:   } else {
    131:     MatSetType(*A,MATSEQAIJVIENNACL);
    132:     MatSeqAIJSetPreallocation(*A,d_nz,d_nnz);
    133:   }
    134:   return(0);
    135: }

    137: /*MC
    138:    MATAIJVIENNACL - MATMPIAIJVIENNACL= "aijviennacl" = "mpiaijviennacl" - A matrix type to be used for sparse matrices.

    140:    A matrix type (CSR format) whose data resides on GPUs.
    141:    All matrix calculations are performed using the ViennaCL library.

    143:    This matrix type is identical to MATSEQAIJVIENNACL when constructed with a single process communicator,
    144:    and MATMPIAIJVIENNACL otherwise.  As a result, for single process communicators,
    145:    MatSeqAIJSetPreallocation is supported, and similarly MatMPIAIJSetPreallocation is supported
    146:    for communicators controlling multiple processes.  It is recommended that you call both of
    147:    the above preallocation routines for simplicity.

    149:    Options Database Keys:
    150: .  -mat_type mpiaijviennacl - sets the matrix type to "mpiaijviennacl" during a call to MatSetFromOptions()

    152:   Level: beginner

    154:  .seealso: MatCreateAIJViennaCL(), MATSEQAIJVIENNACL, MatCreateSeqAIJVIENNACL()
    155: M*/