1 #define PETSCMAT_DLL 2 3 /* 4 Defines a matrix-vector product for the MATSEQAIJCRL matrix class. 5 This class is derived from the MATSEQAIJ class and retains the 6 compressed row storage (aka Yale sparse matrix format) but augments 7 it with a column oriented storage that is more efficient for 8 matrix vector products on Vector machines. 9 10 CRL stands for constant row length (that is the same number of columns 11 is kept (padded with zeros) for each row of the sparse matrix. 12 */ 13 #include "../src/mat/impls/aij/seq/crl/crl.h" 14 15 #undef __FUNCT__ 16 #define __FUNCT__ "MatDestroy_SeqAIJCRL" 17 PetscErrorCode MatDestroy_SeqAIJCRL(Mat A) 18 { 19 PetscErrorCode ierr; 20 Mat_AIJCRL *aijcrl = (Mat_AIJCRL *) A->spptr; 21 22 /* Free everything in the Mat_AIJCRL data structure. */ 23 ierr = PetscFree2(aijcrl->acols,aijcrl->icols);CHKERRQ(ierr); 24 ierr = PetscFree(aijcrl);CHKERRQ(ierr); 25 A->spptr = 0; 26 27 ierr = PetscObjectChangeTypeName( (PetscObject)A, MATSEQAIJ);CHKERRQ(ierr); 28 ierr = MatDestroy_SeqAIJ(A);CHKERRQ(ierr); 29 PetscFunctionReturn(0); 30 } 31 32 PetscErrorCode MatDuplicate_AIJCRL(Mat A, MatDuplicateOption op, Mat *M) 33 { 34 PetscFunctionBegin; 35 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot duplicate AIJCRL matrices yet"); 36 PetscFunctionReturn(0); 37 } 38 39 #undef __FUNCT__ 40 #define __FUNCT__ "SeqAIJCRL_create_aijcrl" 41 PetscErrorCode SeqAIJCRL_create_aijcrl(Mat A) 42 { 43 Mat_SeqAIJ *a = (Mat_SeqAIJ *)(A)->data; 44 Mat_AIJCRL *aijcrl = (Mat_AIJCRL*) A->spptr; 45 PetscInt m = A->rmap->n; /* Number of rows in the matrix. */ 46 PetscInt *aj = a->j; /* From the CSR representation; points to the beginning of each row. */ 47 PetscInt i, j,rmax = a->rmax,*icols, *ilen = a->ilen; 48 MatScalar *aa = a->a; 49 PetscScalar *acols; 50 PetscErrorCode ierr; 51 52 PetscFunctionBegin; 53 aijcrl->nz = a->nz; 54 aijcrl->m = A->rmap->n; 55 aijcrl->rmax = rmax; 56 ierr = PetscFree2(aijcrl->acols,aijcrl->icols);CHKERRQ(ierr); 57 ierr = PetscMalloc2(rmax*m,PetscScalar,&aijcrl->acols,rmax*m,PetscInt,&aijcrl->icols);CHKERRQ(ierr); 58 acols = aijcrl->acols; 59 icols = aijcrl->icols; 60 for (i=0; i<m; i++) { 61 for (j=0; j<ilen[i]; j++) { 62 acols[j*m+i] = *aa++; 63 icols[j*m+i] = *aj++; 64 } 65 for (;j<rmax; j++) { /* empty column entries */ 66 acols[j*m+i] = 0.0; 67 icols[j*m+i] = (j) ? icols[(j-1)*m+i] : 0; /* handle case where row is EMPTY */ 68 } 69 } 70 ierr = PetscInfo2(A,"Percentage of 0's introduced for vectorized multiply %G. Rmax= %D\n",1.0-((double)a->nz)/((double)(rmax*m)),rmax); 71 PetscFunctionReturn(0); 72 } 73 74 extern PetscErrorCode MatAssemblyEnd_SeqAIJ(Mat,MatAssemblyType); 75 76 #undef __FUNCT__ 77 #define __FUNCT__ "MatAssemblyEnd_SeqAIJCRL" 78 PetscErrorCode MatAssemblyEnd_SeqAIJCRL(Mat A, MatAssemblyType mode) 79 { 80 PetscErrorCode ierr; 81 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data; 82 83 PetscFunctionBegin; 84 a->inode.use = PETSC_FALSE; 85 ierr = MatAssemblyEnd_SeqAIJ(A,mode);CHKERRQ(ierr); 86 if (mode == MAT_FLUSH_ASSEMBLY) PetscFunctionReturn(0); 87 88 /* Now calculate the permutation and grouping information. */ 89 ierr = SeqAIJCRL_create_aijcrl(A);CHKERRQ(ierr); 90 PetscFunctionReturn(0); 91 } 92 93 #include "../src/mat/impls/aij/seq/crl/ftn-kernels/fmultcrl.h" 94 95 #undef __FUNCT__ 96 #define __FUNCT__ "MatMult_AIJCRL" 97 /* 98 Shared by both sequential and parallel versions of CRL matrix: MATMPIAIJCRL and MATSEQAIJCRL 99 - the scatter is used only in the parallel version 100 101 */ 102 PetscErrorCode MatMult_AIJCRL(Mat A,Vec xx,Vec yy) 103 { 104 Mat_AIJCRL *aijcrl = (Mat_AIJCRL*) A->spptr; 105 PetscInt m = aijcrl->m; /* Number of rows in the matrix. */ 106 PetscInt rmax = aijcrl->rmax,*icols = aijcrl->icols; 107 PetscScalar *acols = aijcrl->acols; 108 PetscErrorCode ierr; 109 PetscScalar *x,*y; 110 #if !defined(PETSC_USE_FORTRAN_KERNEL_MULTCRL) 111 PetscInt i,j,ii; 112 #endif 113 114 115 #if defined(PETSC_HAVE_PRAGMA_DISJOINT) 116 #pragma disjoint(*x,*y,*aa) 117 #endif 118 119 PetscFunctionBegin; 120 if (aijcrl->xscat) { 121 ierr = VecCopy(xx,aijcrl->xwork);CHKERRQ(ierr); 122 /* get remote values needed for local part of multiply */ 123 ierr = VecScatterBegin(aijcrl->xscat,xx,aijcrl->fwork,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 124 ierr = VecScatterEnd(aijcrl->xscat,xx,aijcrl->fwork,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 125 xx = aijcrl->xwork; 126 }; 127 128 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 129 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 130 131 #if defined(PETSC_USE_FORTRAN_KERNEL_MULTCRL) 132 fortranmultcrl_(&m,&rmax,x,y,icols,acols); 133 #else 134 135 /* first column */ 136 for (j=0; j<m; j++) { 137 y[j] = acols[j]*x[icols[j]]; 138 } 139 140 /* other columns */ 141 #if defined(PETSC_HAVE_CRAYC) 142 #pragma _CRI preferstream 143 #endif 144 for (i=1; i<rmax; i++) { 145 ii = i*m; 146 #if defined(PETSC_HAVE_CRAYC) 147 #pragma _CRI prefervector 148 #endif 149 for (j=0; j<m; j++) { 150 y[j] = y[j] + acols[ii+j]*x[icols[ii+j]]; 151 } 152 } 153 #if defined(PETSC_HAVE_CRAYC) 154 #pragma _CRI ivdep 155 #endif 156 157 #endif 158 ierr = PetscLogFlops(2.0*aijcrl->nz - m);CHKERRQ(ierr); 159 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 160 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 161 PetscFunctionReturn(0); 162 } 163 164 165 /* MatConvert_SeqAIJ_SeqAIJCRL converts a SeqAIJ matrix into a 166 * SeqAIJCRL matrix. This routine is called by the MatCreate_SeqAIJCRL() 167 * routine, but can also be used to convert an assembled SeqAIJ matrix 168 * into a SeqAIJCRL one. */ 169 EXTERN_C_BEGIN 170 #undef __FUNCT__ 171 #define __FUNCT__ "MatConvert_SeqAIJ_SeqAIJCRL" 172 PetscErrorCode PETSCMAT_DLLEXPORT MatConvert_SeqAIJ_SeqAIJCRL(Mat A,const MatType type,MatReuse reuse,Mat *newmat) 173 { 174 PetscErrorCode ierr; 175 Mat B = *newmat; 176 Mat_AIJCRL *aijcrl; 177 178 PetscFunctionBegin; 179 if (reuse == MAT_INITIAL_MATRIX) { 180 ierr = MatDuplicate(A,MAT_COPY_VALUES,&B);CHKERRQ(ierr); 181 } 182 183 ierr = PetscNewLog(B,Mat_AIJCRL,&aijcrl);CHKERRQ(ierr); 184 B->spptr = (void *) aijcrl; 185 186 /* Set function pointers for methods that we inherit from AIJ but override. */ 187 B->ops->duplicate = MatDuplicate_AIJCRL; 188 B->ops->assemblyend = MatAssemblyEnd_SeqAIJCRL; 189 B->ops->destroy = MatDestroy_SeqAIJCRL; 190 B->ops->mult = MatMult_AIJCRL; 191 192 /* If A has already been assembled, compute the permutation. */ 193 if (A->assembled) { 194 ierr = SeqAIJCRL_create_aijcrl(B);CHKERRQ(ierr); 195 } 196 ierr = PetscObjectChangeTypeName((PetscObject)B,MATSEQAIJCRL);CHKERRQ(ierr); 197 *newmat = B; 198 PetscFunctionReturn(0); 199 } 200 EXTERN_C_END 201 202 203 #undef __FUNCT__ 204 #define __FUNCT__ "MatCreateSeqAIJCRL" 205 /*@C 206 MatCreateSeqAIJCRL - Creates a sparse matrix of type SEQAIJCRL. 207 This type inherits from AIJ, but stores some additional 208 information that is used to allow better vectorization of 209 the matrix-vector product. At the cost of increased storage, the AIJ formatted 210 matrix can be copied to a format in which pieces of the matrix are 211 stored in ELLPACK format, allowing the vectorized matrix multiply 212 routine to use stride-1 memory accesses. As with the AIJ type, it is 213 important to preallocate matrix storage in order to get good assembly 214 performance. 215 216 Collective on MPI_Comm 217 218 Input Parameters: 219 + comm - MPI communicator, set to PETSC_COMM_SELF 220 . m - number of rows 221 . n - number of columns 222 . nz - number of nonzeros per row (same for all rows) 223 - nnz - array containing the number of nonzeros in the various rows 224 (possibly different for each row) or PETSC_NULL 225 226 Output Parameter: 227 . A - the matrix 228 229 Notes: 230 If nnz is given then nz is ignored 231 232 Level: intermediate 233 234 .keywords: matrix, cray, sparse, parallel 235 236 .seealso: MatCreate(), MatCreateMPIAIJPERM(), MatSetValues() 237 @*/ 238 PetscErrorCode PETSCMAT_DLLEXPORT MatCreateSeqAIJCRL(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[],Mat *A) 239 { 240 PetscErrorCode ierr; 241 242 PetscFunctionBegin; 243 ierr = MatCreate(comm,A);CHKERRQ(ierr); 244 ierr = MatSetSizes(*A,m,n,m,n);CHKERRQ(ierr); 245 ierr = MatSetType(*A,MATSEQAIJCRL);CHKERRQ(ierr); 246 ierr = MatSeqAIJSetPreallocation_SeqAIJ(*A,nz,nnz);CHKERRQ(ierr); 247 PetscFunctionReturn(0); 248 } 249 250 251 EXTERN_C_BEGIN 252 #undef __FUNCT__ 253 #define __FUNCT__ "MatCreate_SeqAIJCRL" 254 PetscErrorCode PETSCMAT_DLLEXPORT MatCreate_SeqAIJCRL(Mat A) 255 { 256 PetscErrorCode ierr; 257 258 PetscFunctionBegin; 259 ierr = MatSetType(A,MATSEQAIJ);CHKERRQ(ierr); 260 ierr = MatConvert_SeqAIJ_SeqAIJCRL(A,MATSEQAIJCRL,MAT_REUSE_MATRIX,&A);CHKERRQ(ierr); 261 PetscFunctionReturn(0); 262 } 263 EXTERN_C_END 264 265