1 #define PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND 1 2 3 #include <petscconf.h> 4 #include <../src/mat/impls/aij/mpi/mpiaij.h> /*I "petscmat.h" I*/ 5 #include <../src/mat/impls/aij/seq/seqviennacl/viennaclmatimpl.h> 6 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; 10 PetscErrorCode ierr; 11 12 PetscFunctionBegin; 13 ierr = PetscLayoutSetUp(B->rmap);CHKERRQ(ierr); 14 ierr = PetscLayoutSetUp(B->cmap);CHKERRQ(ierr); 15 if (!B->preallocated) { 16 /* Explicitly create the two MATSEQAIJVIENNACL matrices. */ 17 ierr = MatCreate(PETSC_COMM_SELF,&b->A);CHKERRQ(ierr); 18 ierr = MatSetSizes(b->A,B->rmap->n,B->cmap->n,B->rmap->n,B->cmap->n);CHKERRQ(ierr); 19 ierr = MatSetType(b->A,MATSEQAIJVIENNACL);CHKERRQ(ierr); 20 ierr = PetscLogObjectParent((PetscObject)B,(PetscObject)b->A);CHKERRQ(ierr); 21 ierr = MatCreate(PETSC_COMM_SELF,&b->B);CHKERRQ(ierr); 22 ierr = MatSetSizes(b->B,B->rmap->n,B->cmap->N,B->rmap->n,B->cmap->N);CHKERRQ(ierr); 23 ierr = MatSetType(b->B,MATSEQAIJVIENNACL);CHKERRQ(ierr); 24 ierr = PetscLogObjectParent((PetscObject)B,(PetscObject)b->B);CHKERRQ(ierr); 25 } 26 ierr = MatSeqAIJSetPreallocation(b->A,d_nz,d_nnz);CHKERRQ(ierr); 27 ierr = MatSeqAIJSetPreallocation(b->B,o_nz,o_nnz);CHKERRQ(ierr); 28 B->preallocated = PETSC_TRUE; 29 PetscFunctionReturn(0); 30 } 31 32 PetscErrorCode MatAssemblyEnd_MPIAIJViennaCL(Mat A,MatAssemblyType mode) 33 { 34 Mat_MPIAIJ *b = (Mat_MPIAIJ*)A->data; 35 PetscErrorCode ierr; 36 PetscBool v; 37 38 PetscFunctionBegin; 39 ierr = MatAssemblyEnd_MPIAIJ(A,mode);CHKERRQ(ierr); 40 ierr = PetscObjectTypeCompare((PetscObject)b->lvec,VECSEQVIENNACL,&v);CHKERRQ(ierr); 41 if (!v) { 42 PetscInt m; 43 ierr = VecGetSize(b->lvec,&m);CHKERRQ(ierr); 44 ierr = VecDestroy(&b->lvec);CHKERRQ(ierr); 45 ierr = VecCreateSeqViennaCL(PETSC_COMM_SELF,m,&b->lvec);CHKERRQ(ierr); 46 } 47 PetscFunctionReturn(0); 48 } 49 50 PetscErrorCode MatDestroy_MPIAIJViennaCL(Mat A) 51 { 52 PetscErrorCode ierr; 53 54 PetscFunctionBegin; 55 ierr = MatDestroy_MPIAIJ(A);CHKERRQ(ierr); 56 PetscFunctionReturn(0); 57 } 58 59 PETSC_EXTERN PetscErrorCode MatCreate_MPIAIJViennaCL(Mat A) 60 { 61 PetscErrorCode ierr; 62 63 PetscFunctionBegin; 64 ierr = MatCreate_MPIAIJ(A);CHKERRQ(ierr); 65 ierr = PetscFree(A->defaultvectype);CHKERRQ(ierr); 66 ierr = PetscStrallocpy(VECVIENNACL,&A->defaultvectype);CHKERRQ(ierr); 67 ierr = PetscObjectComposeFunction((PetscObject)A,"MatMPIAIJSetPreallocation_C",MatMPIAIJSetPreallocation_MPIAIJViennaCL);CHKERRQ(ierr); 68 A->ops->assemblyend = MatAssemblyEnd_MPIAIJViennaCL; 69 ierr = PetscObjectChangeTypeName((PetscObject)A,MATMPIAIJVIENNACL);CHKERRQ(ierr); 70 PetscFunctionReturn(0); 71 } 72 73 74 /*@ 75 MatCreateAIJViennaCL - Creates a sparse matrix in AIJ (compressed row) format 76 (the default parallel PETSc format). This matrix will ultimately be pushed down 77 to GPUs and use the ViennaCL library for calculations. For good matrix 78 assembly performance the user should preallocate the matrix storage by setting 79 the parameter nz (or the array nnz). By setting these parameters accurately, 80 performance during matrix assembly can be increased substantially. 81 82 83 Collective 84 85 Input Parameters: 86 + comm - MPI communicator, set to PETSC_COMM_SELF 87 . m - number of rows 88 . n - number of columns 89 . nz - number of nonzeros per row (same for all rows) 90 - nnz - array containing the number of nonzeros in the various rows 91 (possibly different for each row) or NULL 92 93 Output Parameter: 94 . A - the matrix 95 96 It is recommended that one use the MatCreate(), MatSetType() and/or MatSetFromOptions(), 97 MatXXXXSetPreallocation() paradigm instead of this routine directly. 98 [MatXXXXSetPreallocation() is, for example, MatSeqAIJSetPreallocation] 99 100 Notes: 101 If nnz is given then nz is ignored 102 103 The AIJ format (also called the Yale sparse matrix format or 104 compressed row storage), is fully compatible with standard Fortran 77 105 storage. That is, the stored row and column indices can begin at 106 either one (as in Fortran) or zero. See the users' manual for details. 107 108 Specify the preallocated storage with either nz or nnz (not both). 109 Set nz=PETSC_DEFAULT and nnz=NULL for PETSc to control dynamic memory 110 allocation. For large problems you MUST preallocate memory or you 111 will get TERRIBLE performance, see the users' manual chapter on matrices. 112 113 Level: intermediate 114 115 .seealso: MatCreate(), MatCreateAIJ(), MatCreateAIJCUSPARSE(), MatSetValues(), MatSeqAIJSetColumnIndices(), MatCreateSeqAIJWithArrays(), MatCreateAIJ(), MATMPIAIJVIENNACL, MATAIJVIENNACL 116 @*/ 117 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) 118 { 119 PetscErrorCode ierr; 120 PetscMPIInt size; 121 122 PetscFunctionBegin; 123 ierr = MatCreate(comm,A);CHKERRQ(ierr); 124 ierr = MatSetSizes(*A,m,n,M,N);CHKERRQ(ierr); 125 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 126 if (size > 1) { 127 ierr = MatSetType(*A,MATMPIAIJVIENNACL);CHKERRQ(ierr); 128 ierr = MatMPIAIJSetPreallocation(*A,d_nz,d_nnz,o_nz,o_nnz);CHKERRQ(ierr); 129 } else { 130 ierr = MatSetType(*A,MATSEQAIJVIENNACL);CHKERRQ(ierr); 131 ierr = MatSeqAIJSetPreallocation(*A,d_nz,d_nnz);CHKERRQ(ierr); 132 } 133 PetscFunctionReturn(0); 134 } 135 136 /*MC 137 MATAIJVIENNACL - MATMPIAIJVIENNACL= "aijviennacl" = "mpiaijviennacl" - A matrix type to be used for sparse matrices. 138 139 A matrix type (CSR format) whose data resides on GPUs. 140 All matrix calculations are performed using the ViennaCL library. 141 142 This matrix type is identical to MATSEQAIJVIENNACL when constructed with a single process communicator, 143 and MATMPIAIJVIENNACL otherwise. As a result, for single process communicators, 144 MatSeqAIJSetPreallocation is supported, and similarly MatMPIAIJSetPreallocation is supported 145 for communicators controlling multiple processes. It is recommended that you call both of 146 the above preallocation routines for simplicity. 147 148 Options Database Keys: 149 . -mat_type mpiaijviennacl - sets the matrix type to "mpiaijviennacl" during a call to MatSetFromOptions() 150 151 Level: beginner 152 153 .seealso: MatCreateAIJViennaCL(), MATSEQAIJVIENNACL, MatCreateSeqAIJVIENNACL() 154 M*/ 155