1 2 /* 3 Defines a matrix-vector product for the MATSEQAIJCRL matrix class. 4 This class is derived from the MATSEQAIJ class and retains the 5 compressed row storage (aka Yale sparse matrix format) but augments 6 it with a column oriented storage that is more efficient for 7 matrix vector products on Vector machines. 8 9 CRL stands for constant row length (that is the same number of columns 10 is kept (padded with zeros) for each row of the sparse matrix. 11 */ 12 #include "../src/mat/impls/aij/seq/crl/crl.h" 13 14 #undef __FUNCT__ 15 #define __FUNCT__ "MatDestroy_SeqAIJCRL" 16 PetscErrorCode MatDestroy_SeqAIJCRL(Mat A) 17 { 18 PetscErrorCode ierr; 19 Mat_AIJCRL *aijcrl = (Mat_AIJCRL *) A->spptr; 20 21 /* Free everything in the Mat_AIJCRL data structure. */ 22 ierr = PetscFree2(aijcrl->acols,aijcrl->icols);CHKERRQ(ierr); 23 ierr = PetscFree(A->spptr);CHKERRQ(ierr); 24 25 ierr = PetscObjectChangeTypeName( (PetscObject)A, MATSEQAIJ);CHKERRQ(ierr); 26 ierr = MatDestroy_SeqAIJ(A);CHKERRQ(ierr); 27 PetscFunctionReturn(0); 28 } 29 30 PetscErrorCode MatDuplicate_AIJCRL(Mat A, MatDuplicateOption op, Mat *M) 31 { 32 PetscFunctionBegin; 33 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot duplicate AIJCRL matrices yet"); 34 PetscFunctionReturn(0); 35 } 36 37 #undef __FUNCT__ 38 #define __FUNCT__ "SeqAIJCRL_create_aijcrl" 39 PetscErrorCode SeqAIJCRL_create_aijcrl(Mat A) 40 { 41 Mat_SeqAIJ *a = (Mat_SeqAIJ *)(A)->data; 42 Mat_AIJCRL *aijcrl = (Mat_AIJCRL*) A->spptr; 43 PetscInt m = A->rmap->n; /* Number of rows in the matrix. */ 44 PetscInt *aj = a->j; /* From the CSR representation; points to the beginning of each row. */ 45 PetscInt i, j,rmax = a->rmax,*icols, *ilen = a->ilen; 46 MatScalar *aa = a->a; 47 PetscScalar *acols; 48 PetscErrorCode ierr; 49 50 PetscFunctionBegin; 51 aijcrl->nz = a->nz; 52 aijcrl->m = A->rmap->n; 53 aijcrl->rmax = rmax; 54 ierr = PetscFree2(aijcrl->acols,aijcrl->icols);CHKERRQ(ierr); 55 ierr = PetscMalloc2(rmax*m,PetscScalar,&aijcrl->acols,rmax*m,PetscInt,&aijcrl->icols);CHKERRQ(ierr); 56 acols = aijcrl->acols; 57 icols = aijcrl->icols; 58 for (i=0; i<m; i++) { 59 for (j=0; j<ilen[i]; j++) { 60 acols[j*m+i] = *aa++; 61 icols[j*m+i] = *aj++; 62 } 63 for (;j<rmax; j++) { /* empty column entries */ 64 acols[j*m+i] = 0.0; 65 icols[j*m+i] = (j) ? icols[(j-1)*m+i] : 0; /* handle case where row is EMPTY */ 66 } 67 } 68 ierr = PetscInfo2(A,"Percentage of 0's introduced for vectorized multiply %G. Rmax= %D\n",1.0-((double)a->nz)/((double)(rmax*m)),rmax); 69 PetscFunctionReturn(0); 70 } 71 72 extern PetscErrorCode MatAssemblyEnd_SeqAIJ(Mat,MatAssemblyType); 73 74 #undef __FUNCT__ 75 #define __FUNCT__ "MatAssemblyEnd_SeqAIJCRL" 76 PetscErrorCode MatAssemblyEnd_SeqAIJCRL(Mat A, MatAssemblyType mode) 77 { 78 PetscErrorCode ierr; 79 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data; 80 81 PetscFunctionBegin; 82 a->inode.use = PETSC_FALSE; 83 ierr = MatAssemblyEnd_SeqAIJ(A,mode);CHKERRQ(ierr); 84 if (mode == MAT_FLUSH_ASSEMBLY) PetscFunctionReturn(0); 85 86 /* Now calculate the permutation and grouping information. */ 87 ierr = SeqAIJCRL_create_aijcrl(A);CHKERRQ(ierr); 88 PetscFunctionReturn(0); 89 } 90 91 #include "../src/mat/impls/aij/seq/crl/ftn-kernels/fmultcrl.h" 92 93 #undef __FUNCT__ 94 #define __FUNCT__ "MatMult_AIJCRL" 95 /* 96 Shared by both sequential and parallel versions of CRL matrix: MATMPIAIJCRL and MATSEQAIJCRL 97 - the scatter is used only in the parallel version 98 99 */ 100 PetscErrorCode MatMult_AIJCRL(Mat A,Vec xx,Vec yy) 101 { 102 Mat_AIJCRL *aijcrl = (Mat_AIJCRL*) A->spptr; 103 PetscInt m = aijcrl->m; /* Number of rows in the matrix. */ 104 PetscInt rmax = aijcrl->rmax,*icols = aijcrl->icols; 105 PetscScalar *acols = aijcrl->acols; 106 PetscErrorCode ierr; 107 PetscScalar *x,*y; 108 #if !defined(PETSC_USE_FORTRAN_KERNEL_MULTCRL) 109 PetscInt i,j,ii; 110 #endif 111 112 113 #if defined(PETSC_HAVE_PRAGMA_DISJOINT) 114 #pragma disjoint(*x,*y,*aa) 115 #endif 116 117 PetscFunctionBegin; 118 if (aijcrl->xscat) { 119 ierr = VecCopy(xx,aijcrl->xwork);CHKERRQ(ierr); 120 /* get remote values needed for local part of multiply */ 121 ierr = VecScatterBegin(aijcrl->xscat,xx,aijcrl->fwork,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 122 ierr = VecScatterEnd(aijcrl->xscat,xx,aijcrl->fwork,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 123 xx = aijcrl->xwork; 124 }; 125 126 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 127 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 128 129 #if defined(PETSC_USE_FORTRAN_KERNEL_MULTCRL) 130 fortranmultcrl_(&m,&rmax,x,y,icols,acols); 131 #else 132 133 /* first column */ 134 for (j=0; j<m; j++) { 135 y[j] = acols[j]*x[icols[j]]; 136 } 137 138 /* other columns */ 139 #if defined(PETSC_HAVE_CRAY_VECTOR) 140 #pragma _CRI preferstream 141 #endif 142 for (i=1; i<rmax; i++) { 143 ii = i*m; 144 #if defined(PETSC_HAVE_CRAY_VECTOR) 145 #pragma _CRI prefervector 146 #endif 147 for (j=0; j<m; j++) { 148 y[j] = y[j] + acols[ii+j]*x[icols[ii+j]]; 149 } 150 } 151 #if defined(PETSC_HAVE_CRAY_VECTOR) 152 #pragma _CRI ivdep 153 #endif 154 155 #endif 156 ierr = PetscLogFlops(2.0*aijcrl->nz - m);CHKERRQ(ierr); 157 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 158 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 159 PetscFunctionReturn(0); 160 } 161 162 163 /* MatConvert_SeqAIJ_SeqAIJCRL converts a SeqAIJ matrix into a 164 * SeqAIJCRL matrix. This routine is called by the MatCreate_SeqAIJCRL() 165 * routine, but can also be used to convert an assembled SeqAIJ matrix 166 * into a SeqAIJCRL one. */ 167 EXTERN_C_BEGIN 168 #undef __FUNCT__ 169 #define __FUNCT__ "MatConvert_SeqAIJ_SeqAIJCRL" 170 PetscErrorCode MatConvert_SeqAIJ_SeqAIJCRL(Mat A,const MatType type,MatReuse reuse,Mat *newmat) 171 { 172 PetscErrorCode ierr; 173 Mat B = *newmat; 174 Mat_AIJCRL *aijcrl; 175 176 PetscFunctionBegin; 177 if (reuse == MAT_INITIAL_MATRIX) { 178 ierr = MatDuplicate(A,MAT_COPY_VALUES,&B);CHKERRQ(ierr); 179 } 180 181 ierr = PetscNewLog(B,Mat_AIJCRL,&aijcrl);CHKERRQ(ierr); 182 B->spptr = (void *) aijcrl; 183 184 /* Set function pointers for methods that we inherit from AIJ but override. */ 185 B->ops->duplicate = MatDuplicate_AIJCRL; 186 B->ops->assemblyend = MatAssemblyEnd_SeqAIJCRL; 187 B->ops->destroy = MatDestroy_SeqAIJCRL; 188 B->ops->mult = MatMult_AIJCRL; 189 190 /* If A has already been assembled, compute the permutation. */ 191 if (A->assembled) { 192 ierr = SeqAIJCRL_create_aijcrl(B);CHKERRQ(ierr); 193 } 194 ierr = PetscObjectChangeTypeName((PetscObject)B,MATSEQAIJCRL);CHKERRQ(ierr); 195 *newmat = B; 196 PetscFunctionReturn(0); 197 } 198 EXTERN_C_END 199 200 201 #undef __FUNCT__ 202 #define __FUNCT__ "MatCreateSeqAIJCRL" 203 /*@C 204 MatCreateSeqAIJCRL - Creates a sparse matrix of type SEQAIJCRL. 205 This type inherits from AIJ, but stores some additional 206 information that is used to allow better vectorization of 207 the matrix-vector product. At the cost of increased storage, the AIJ formatted 208 matrix can be copied to a format in which pieces of the matrix are 209 stored in ELLPACK format, allowing the vectorized matrix multiply 210 routine to use stride-1 memory accesses. As with the AIJ type, it is 211 important to preallocate matrix storage in order to get good assembly 212 performance. 213 214 Collective on MPI_Comm 215 216 Input Parameters: 217 + comm - MPI communicator, set to PETSC_COMM_SELF 218 . m - number of rows 219 . n - number of columns 220 . nz - number of nonzeros per row (same for all rows) 221 - nnz - array containing the number of nonzeros in the various rows 222 (possibly different for each row) or PETSC_NULL 223 224 Output Parameter: 225 . A - the matrix 226 227 Notes: 228 If nnz is given then nz is ignored 229 230 Level: intermediate 231 232 .keywords: matrix, cray, sparse, parallel 233 234 .seealso: MatCreate(), MatCreateMPIAIJPERM(), MatSetValues() 235 @*/ 236 PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[],Mat *A) 237 { 238 PetscErrorCode ierr; 239 240 PetscFunctionBegin; 241 ierr = MatCreate(comm,A);CHKERRQ(ierr); 242 ierr = MatSetSizes(*A,m,n,m,n);CHKERRQ(ierr); 243 ierr = MatSetType(*A,MATSEQAIJCRL);CHKERRQ(ierr); 244 ierr = MatSeqAIJSetPreallocation_SeqAIJ(*A,nz,nnz);CHKERRQ(ierr); 245 PetscFunctionReturn(0); 246 } 247 248 249 EXTERN_C_BEGIN 250 #undef __FUNCT__ 251 #define __FUNCT__ "MatCreate_SeqAIJCRL" 252 PetscErrorCode MatCreate_SeqAIJCRL(Mat A) 253 { 254 PetscErrorCode ierr; 255 256 PetscFunctionBegin; 257 ierr = MatSetType(A,MATSEQAIJ);CHKERRQ(ierr); 258 ierr = MatConvert_SeqAIJ_SeqAIJCRL(A,MATSEQAIJCRL,MAT_REUSE_MATRIX,&A);CHKERRQ(ierr); 259 PetscFunctionReturn(0); 260 } 261 EXTERN_C_END 262 263