1 #define PETSCMAT_DLL 2 3 /* 4 Provides an interface to the PaStiX sparse solver 5 */ 6 #include "../src/mat/impls/aij/seq/aij.h" 7 #include "../src/mat/impls/aij/mpi/mpiaij.h" 8 #include "../src/mat/impls/sbaij/seq/sbaij.h" 9 #include "../src/mat/impls/sbaij/mpi/mpisbaij.h" 10 11 #if defined(PETSC_HAVE_STDLIB_H) 12 #include <stdlib.h> 13 #endif 14 #if defined(PETSC_HAVE_STRING_H) 15 #include <string.h> 16 #endif 17 18 EXTERN_C_BEGIN 19 #include "pastix.h" 20 EXTERN_C_END 21 22 typedef struct Mat_Pastix_ { 23 pastix_data_t *pastix_data; /* Pastix data storage structure */ 24 MatStructure matstruc; 25 PetscInt n; /* Number of columns in the matrix */ 26 PetscInt *colptr; /* Index of first element of each column in row and val */ 27 PetscInt *row; /* Row of each element of the matrix */ 28 PetscScalar *val; /* Value of each element of the matrix */ 29 PetscInt *perm; /* Permutation tabular */ 30 PetscInt *invp; /* Reverse permutation tabular */ 31 PetscScalar *rhs; /* Rhight-hand-side member */ 32 PetscInt rhsnbr; /* Rhight-hand-side number (must be 1) */ 33 PetscInt iparm[64]; /* Integer parameters */ 34 double dparm[64]; /* Floating point parameters */ 35 MPI_Comm pastix_comm; /* PaStiX MPI communicator */ 36 PetscMPIInt commRank; /* MPI rank */ 37 PetscMPIInt commSize; /* MPI communicator size */ 38 PetscBool CleanUpPastix; /* Boolean indicating if we call PaStiX clean step */ 39 VecScatter scat_rhs; 40 VecScatter scat_sol; 41 Vec b_seq; 42 PetscBool isAIJ; 43 PetscErrorCode (*MatDestroy)(Mat); 44 } Mat_Pastix; 45 46 extern PetscErrorCode MatDuplicate_Pastix(Mat,MatDuplicateOption,Mat*); 47 48 #undef __FUNCT__ 49 #define __FUNCT__ "MatConvertToCSC" 50 /* 51 convert Petsc seqaij matrix to CSC: colptr[n], row[nz], val[nz] 52 53 input: 54 A - matrix in seqaij or mpisbaij (bs=1) format 55 valOnly - FALSE: spaces are allocated and values are set for the CSC 56 TRUE: Only fill values 57 output: 58 n - Size of the matrix 59 colptr - Index of first element of each column in row and val 60 row - Row of each element of the matrix 61 values - Value of each element of the matrix 62 */ 63 PetscErrorCode MatConvertToCSC(Mat A,PetscBool valOnly,PetscInt *n,PetscInt **colptr,PetscInt **row,PetscScalar **values) 64 { 65 Mat_SeqAIJ *aa = (Mat_SeqAIJ*)A->data; 66 PetscInt *rowptr = aa->i; 67 PetscInt *col = aa->j; 68 PetscScalar *rvalues = aa->a; 69 PetscInt m = A->rmap->N; 70 PetscInt nnz; 71 PetscInt i,j, k; 72 PetscInt base = 1; 73 PetscInt idx; 74 PetscErrorCode ierr; 75 PetscInt colidx; 76 PetscInt *colcount; 77 PetscBool isSBAIJ; 78 PetscBool isSeqSBAIJ; 79 PetscBool isMpiSBAIJ; 80 PetscBool isSym; 81 82 PetscFunctionBegin; 83 ierr = MatIsSymmetric(A,0.0,&isSym);CHKERRQ(ierr); 84 ierr = PetscTypeCompare((PetscObject)A,MATSBAIJ,&isSBAIJ);CHKERRQ(ierr); 85 ierr = PetscTypeCompare((PetscObject)A,MATSEQSBAIJ,&isSeqSBAIJ);CHKERRQ(ierr); 86 ierr = PetscTypeCompare((PetscObject)A,MATMPISBAIJ,&isMpiSBAIJ);CHKERRQ(ierr); 87 88 *n = A->cmap->N; 89 90 /* PaStiX only needs triangular matrix if matrix is symmetric 91 */ 92 if (isSym && !(isSBAIJ || isSeqSBAIJ || isMpiSBAIJ)) { 93 nnz = (aa->nz - *n)/2 + *n; 94 } 95 else { 96 nnz = aa->nz; 97 } 98 99 if (!valOnly){ 100 ierr = PetscMalloc(((*n)+1) *sizeof(PetscInt) ,colptr );CHKERRQ(ierr); 101 ierr = PetscMalloc( nnz *sizeof(PetscInt) ,row);CHKERRQ(ierr); 102 ierr = PetscMalloc( nnz *sizeof(PetscScalar),values);CHKERRQ(ierr); 103 104 if (isSBAIJ || isSeqSBAIJ || isMpiSBAIJ) { 105 ierr = PetscMemcpy (*colptr, rowptr, ((*n)+1)*sizeof(PetscInt));CHKERRQ(ierr); 106 for (i = 0; i < *n+1; i++) 107 (*colptr)[i] += base; 108 ierr = PetscMemcpy (*row, col, (nnz)*sizeof(PetscInt));CHKERRQ(ierr); 109 for (i = 0; i < nnz; i++) 110 (*row)[i] += base; 111 ierr = PetscMemcpy (*values, rvalues, (nnz)*sizeof(PetscScalar));CHKERRQ(ierr); 112 } else { 113 ierr = PetscMalloc((*n)*sizeof(PetscInt) ,&colcount);CHKERRQ(ierr); 114 115 for (i = 0; i < m; i++) colcount[i] = 0; 116 /* Fill-in colptr */ 117 for (i = 0; i < m; i++) { 118 for (j = rowptr[i]; j < rowptr[i+1]; j++) { 119 if (!isSym || col[j] <= i) colcount[col[j]]++; 120 } 121 } 122 123 (*colptr)[0] = base; 124 for (j = 0; j < *n; j++) { 125 (*colptr)[j+1] = (*colptr)[j] + colcount[j]; 126 /* in next loop we fill starting from (*colptr)[colidx] - base */ 127 colcount[j] = -base; 128 } 129 130 /* Fill-in rows and values */ 131 for (i = 0; i < m; i++) { 132 for (j = rowptr[i]; j < rowptr[i+1]; j++) { 133 if (!isSym || col[j] <= i) { 134 colidx = col[j]; 135 idx = (*colptr)[colidx] + colcount[colidx]; 136 (*row)[idx] = i + base; 137 (*values)[idx] = rvalues[j]; 138 colcount[colidx]++; 139 } 140 } 141 } 142 ierr = PetscFree(colcount);CHKERRQ(ierr); 143 } 144 } else { 145 /* Fill-in only values */ 146 for (i = 0; i < m; i++) { 147 for (j = rowptr[i]; j < rowptr[i+1]; j++) { 148 colidx = col[j]; 149 if ((isSBAIJ || isSeqSBAIJ || isMpiSBAIJ) ||!isSym || col[j] <= i) 150 { 151 /* look for the value to fill */ 152 for (k = (*colptr)[colidx] - base; k < (*colptr)[colidx + 1] - base; k++) { 153 if (((*row)[k]-base) == i) { 154 (*values)[k] = rvalues[j]; 155 break; 156 } 157 } 158 /* data structure of sparse matrix has changed */ 159 if (k == (*colptr)[colidx + 1] - base) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"overflow on k %D",k); 160 } 161 } 162 } 163 } 164 { 165 PetscScalar *tmpvalues; 166 PetscInt *tmprows,*tmpcolptr; 167 tmpvalues = (PetscScalar*)malloc(nnz*sizeof(PetscScalar)); if (!tmpvalues) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory"); 168 tmprows = (PetscInt*)malloc(nnz*sizeof(PetscInt));if (!tmprows) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory"); 169 tmpcolptr = (PetscInt*)malloc((*n+1)*sizeof(PetscInt));if (!tmpcolptr) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory"); 170 171 ierr = PetscMemcpy(tmpcolptr,*colptr,(*n+1)*sizeof(PetscInt));CHKERRQ(ierr); 172 ierr = PetscMemcpy(tmprows,*row,nnz*sizeof(PetscInt));CHKERRQ(ierr); 173 ierr = PetscMemcpy(tmpvalues,*values,nnz*sizeof(PetscScalar));CHKERRQ(ierr); 174 ierr = PetscFree(*row);CHKERRQ(ierr); 175 ierr = PetscFree(*values);CHKERRQ(ierr); 176 177 pastix_checkMatrix(MPI_COMM_WORLD,API_VERBOSE_NO,((isSym != 0) ? API_SYM_YES : API_SYM_NO),API_YES,*n,&tmpcolptr,&tmprows,&tmpvalues,NULL,1); 178 179 ierr = PetscMemcpy(*colptr,tmpcolptr,(*n+1)*sizeof(PetscInt));CHKERRQ(ierr); 180 ierr = PetscMalloc(((*colptr)[*n]-1)*sizeof(PetscInt),row);CHKERRQ(ierr); 181 ierr = PetscMemcpy(*row,tmprows,((*colptr)[*n]-1)*sizeof(PetscInt));CHKERRQ(ierr); 182 ierr = PetscMalloc(((*colptr)[*n]-1)*sizeof(PetscScalar),values);CHKERRQ(ierr); 183 ierr = PetscMemcpy(*values,tmpvalues,((*colptr)[*n]-1)*sizeof(PetscScalar));CHKERRQ(ierr); 184 free(tmpvalues); 185 free(tmprows); 186 free(tmpcolptr); 187 188 } 189 PetscFunctionReturn(0); 190 } 191 192 193 194 #undef __FUNCT__ 195 #define __FUNCT__ "MatDestroy_Pastix" 196 /* 197 Call clean step of PaStiX if lu->CleanUpPastix == true. 198 Free the CSC matrix. 199 */ 200 PetscErrorCode MatDestroy_Pastix(Mat A) 201 { 202 Mat_Pastix *lu=(Mat_Pastix*)A->spptr; 203 PetscErrorCode ierr; 204 PetscMPIInt size=lu->commSize; 205 206 PetscFunctionBegin; 207 if (lu->CleanUpPastix) { 208 /* Terminate instance, deallocate memories */ 209 if (size > 1){ 210 ierr = VecScatterDestroy(lu->scat_rhs);CHKERRQ(ierr); 211 ierr = VecDestroy(lu->b_seq);CHKERRQ(ierr); 212 ierr = VecScatterDestroy(lu->scat_sol);CHKERRQ(ierr); 213 } 214 215 lu->iparm[IPARM_START_TASK]=API_TASK_CLEAN; 216 lu->iparm[IPARM_END_TASK]=API_TASK_CLEAN; 217 218 pastix((pastix_data_t **)&(lu->pastix_data), 219 lu->pastix_comm, 220 (pastix_int_t) lu->n, 221 (pastix_int_t*) lu->colptr, 222 (pastix_int_t*) lu->row, 223 (pastix_float_t*) lu->val, 224 (pastix_int_t*) lu->perm, 225 (pastix_int_t*) lu->invp, 226 (pastix_float_t*) lu->rhs, 227 (pastix_int_t) lu->rhsnbr, 228 (pastix_int_t*) lu->iparm, 229 lu->dparm); 230 231 ierr = PetscFree(lu->colptr);CHKERRQ(ierr); 232 ierr = PetscFree(lu->row); CHKERRQ(ierr); 233 ierr = PetscFree(lu->val); CHKERRQ(ierr); 234 ierr = PetscFree(lu->perm); CHKERRQ(ierr); 235 ierr = PetscFree(lu->invp); CHKERRQ(ierr); 236 ierr = MPI_Comm_free(&(lu->pastix_comm));CHKERRQ(ierr); 237 } 238 ierr = (lu->MatDestroy)(A);CHKERRQ(ierr); 239 PetscFunctionReturn(0); 240 } 241 242 #undef __FUNCT__ 243 #define __FUNCT__ "MatSolve_PaStiX" 244 /* 245 Gather right-hand-side. 246 Call for Solve step. 247 Scatter solution. 248 */ 249 PetscErrorCode MatSolve_PaStiX(Mat A,Vec b,Vec x) 250 { 251 Mat_Pastix *lu=(Mat_Pastix*)A->spptr; 252 PetscScalar *array; 253 Vec x_seq; 254 PetscErrorCode ierr; 255 256 PetscFunctionBegin; 257 lu->rhsnbr = 1; 258 x_seq = lu->b_seq; 259 if (lu->commSize > 1){ 260 /* PaStiX only supports centralized rhs. Scatter b into a seqential rhs vector */ 261 ierr = VecScatterBegin(lu->scat_rhs,b,x_seq,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 262 ierr = VecScatterEnd(lu->scat_rhs,b,x_seq,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 263 ierr = VecGetArray(x_seq,&array);CHKERRQ(ierr); 264 } else { /* size == 1 */ 265 ierr = VecCopy(b,x);CHKERRQ(ierr); 266 ierr = VecGetArray(x,&array);CHKERRQ(ierr); 267 } 268 lu->rhs = array; 269 if (lu->commSize == 1){ 270 ierr = VecRestoreArray(x,&array);CHKERRQ(ierr); 271 } else { 272 ierr = VecRestoreArray(x_seq,&array);CHKERRQ(ierr); 273 } 274 275 /* solve phase */ 276 /*-------------*/ 277 lu->iparm[IPARM_START_TASK] = API_TASK_SOLVE; 278 lu->iparm[IPARM_END_TASK] = API_TASK_REFINE; 279 lu->iparm[IPARM_RHS_MAKING] = API_RHS_B; 280 281 pastix((pastix_data_t **)&(lu->pastix_data), 282 (MPI_Comm) lu->pastix_comm, 283 (pastix_int_t) lu->n, 284 (pastix_int_t*) lu->colptr, 285 (pastix_int_t*) lu->row, 286 (pastix_float_t*) lu->val, 287 (pastix_int_t*) lu->perm, 288 (pastix_int_t*) lu->invp, 289 (pastix_float_t*) lu->rhs, 290 (pastix_int_t) lu->rhsnbr, 291 (pastix_int_t*) lu->iparm, 292 (double*) lu->dparm); 293 294 if (lu->iparm[IPARM_ERROR_NUMBER] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error reported by PaStiX in solve phase: lu->iparm[IPARM_ERROR_NUMBER] = %d\n",lu->iparm[IPARM_ERROR_NUMBER] ); 295 296 if (lu->commSize == 1){ 297 ierr = VecRestoreArray(x,&(lu->rhs));CHKERRQ(ierr); 298 } else { 299 ierr = VecRestoreArray(x_seq,&(lu->rhs));CHKERRQ(ierr); 300 } 301 302 if (lu->commSize > 1) { /* convert PaStiX centralized solution to petsc mpi x */ 303 ierr = VecScatterBegin(lu->scat_sol,x_seq,x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 304 ierr = VecScatterEnd(lu->scat_sol,x_seq,x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 305 } 306 PetscFunctionReturn(0); 307 } 308 309 /* 310 Numeric factorisation using PaStiX solver. 311 312 */ 313 #undef __FUNCT__ 314 #define __FUNCT__ "MatFactorNumeric_PaStiX" 315 PetscErrorCode MatFactorNumeric_PaStiX(Mat F,Mat A,const MatFactorInfo *info) 316 { 317 Mat_Pastix *lu =(Mat_Pastix*)(F)->spptr; 318 Mat *tseq; 319 PetscErrorCode ierr = 0; 320 PetscInt icntl; 321 PetscInt M=A->rmap->N; 322 PetscBool valOnly,flg, isSym; 323 Mat F_diag; 324 IS is_iden; 325 Vec b; 326 IS isrow; 327 PetscBool isSeqAIJ,isSeqSBAIJ,isMPIAIJ; 328 329 PetscFunctionBegin; 330 331 ierr = PetscTypeCompare((PetscObject)A,MATSEQAIJ,&isSeqAIJ);CHKERRQ(ierr); 332 ierr = PetscTypeCompare((PetscObject)A,MATMPIAIJ,&isMPIAIJ);CHKERRQ(ierr); 333 ierr = PetscTypeCompare((PetscObject)A,MATSEQSBAIJ,&isSeqSBAIJ);CHKERRQ(ierr); 334 if (lu->matstruc == DIFFERENT_NONZERO_PATTERN){ 335 (F)->ops->solve = MatSolve_PaStiX; 336 337 /* Initialize a PASTIX instance */ 338 ierr = MPI_Comm_dup(((PetscObject)A)->comm,&(lu->pastix_comm));CHKERRQ(ierr); 339 ierr = MPI_Comm_rank(lu->pastix_comm, &lu->commRank); CHKERRQ(ierr); 340 ierr = MPI_Comm_size(lu->pastix_comm, &lu->commSize); CHKERRQ(ierr); 341 342 /* Set pastix options */ 343 lu->iparm[IPARM_MODIFY_PARAMETER] = API_NO; 344 lu->iparm[IPARM_START_TASK] = API_TASK_INIT; 345 lu->iparm[IPARM_END_TASK] = API_TASK_INIT; 346 lu->rhsnbr = 1; 347 348 /* Call to set default pastix options */ 349 pastix((pastix_data_t **)&(lu->pastix_data), 350 (MPI_Comm) lu->pastix_comm, 351 (pastix_int_t) lu->n, 352 (pastix_int_t*) lu->colptr, 353 (pastix_int_t*) lu->row, 354 (pastix_float_t*) lu->val, 355 (pastix_int_t*) lu->perm, 356 (pastix_int_t*) lu->invp, 357 (pastix_float_t*) lu->rhs, 358 (pastix_int_t) lu->rhsnbr, 359 (pastix_int_t*) lu->iparm, 360 (double*) lu->dparm); 361 362 ierr = PetscOptionsBegin(((PetscObject)A)->comm,((PetscObject)A)->prefix,"PaStiX Options","Mat");CHKERRQ(ierr); 363 364 icntl=-1; 365 lu->iparm[IPARM_VERBOSE] = API_VERBOSE_NOT; 366 ierr = PetscOptionsInt("-mat_pastix_verbose","iparm[IPARM_VERBOSE] : level of printing (0 to 2)","None",lu->iparm[IPARM_VERBOSE],&icntl,&flg);CHKERRQ(ierr); 367 if ((flg && icntl > 0) || PetscLogPrintInfo) { 368 lu->iparm[IPARM_VERBOSE] = icntl; 369 } 370 icntl=-1; 371 ierr = PetscOptionsInt("-mat_pastix_threadnbr","iparm[IPARM_THREAD_NBR] : Number of thread by MPI node","None",lu->iparm[IPARM_THREAD_NBR],&icntl,PETSC_NULL);CHKERRQ(ierr); 372 if ((flg && icntl > 0)) { 373 lu->iparm[IPARM_THREAD_NBR] = icntl; 374 } 375 PetscOptionsEnd(); 376 valOnly = PETSC_FALSE; 377 } else { 378 if (isSeqAIJ || isMPIAIJ) { 379 ierr = PetscFree(lu->colptr);CHKERRQ(ierr); 380 ierr = PetscFree(lu->row);CHKERRQ(ierr); 381 ierr = PetscFree(lu->val);CHKERRQ(ierr); 382 valOnly = PETSC_FALSE; 383 } else valOnly = PETSC_TRUE; 384 } 385 386 lu->iparm[IPARM_MATRIX_VERIFICATION] = API_YES; 387 388 /* convert mpi A to seq mat A */ 389 ierr = ISCreateStride(PETSC_COMM_SELF,M,0,1,&isrow);CHKERRQ(ierr); 390 ierr = MatGetSubMatrices(A,1,&isrow,&isrow,MAT_INITIAL_MATRIX,&tseq);CHKERRQ(ierr); 391 ierr = ISDestroy(isrow);CHKERRQ(ierr); 392 393 ierr = MatConvertToCSC(*tseq,valOnly, &lu->n, &lu->colptr, &lu->row, &lu->val);CHKERRQ(ierr); 394 ierr = MatIsSymmetric(*tseq,0.0,&isSym);CHKERRQ(ierr); 395 ierr = MatDestroyMatrices(1,&tseq);CHKERRQ(ierr); 396 397 if (!lu->perm) { 398 ierr = PetscMalloc((lu->n)*sizeof(PetscInt) ,&(lu->perm));CHKERRQ(ierr); 399 ierr = PetscMalloc((lu->n)*sizeof(PetscInt) ,&(lu->invp));CHKERRQ(ierr); 400 } 401 402 if (isSym) { 403 /* On symmetric matrix, LLT */ 404 lu->iparm[IPARM_SYM] = API_SYM_YES; 405 lu->iparm[IPARM_FACTORIZATION] = API_FACT_LDLT; 406 } else { 407 /* On unsymmetric matrix, LU */ 408 lu->iparm[IPARM_SYM] = API_SYM_NO; 409 lu->iparm[IPARM_FACTORIZATION] = API_FACT_LU; 410 } 411 412 /*----------------*/ 413 if (lu->matstruc == DIFFERENT_NONZERO_PATTERN){ 414 if (!(isSeqAIJ || isSeqSBAIJ)) { 415 /* PaStiX only supports centralized rhs. Create scatter scat_rhs for repeated use in MatSolve() */ 416 ierr = VecCreateSeq(PETSC_COMM_SELF,A->cmap->N,&lu->b_seq);CHKERRQ(ierr); 417 ierr = ISCreateStride(PETSC_COMM_SELF,A->cmap->N,0,1,&is_iden);CHKERRQ(ierr); 418 ierr = VecCreate(((PetscObject)A)->comm,&b);CHKERRQ(ierr); 419 ierr = VecSetSizes(b,A->rmap->n,PETSC_DECIDE);CHKERRQ(ierr); 420 ierr = VecSetFromOptions(b);CHKERRQ(ierr); 421 422 ierr = VecScatterCreate(b,is_iden,lu->b_seq,is_iden,&lu->scat_rhs);CHKERRQ(ierr); 423 ierr = VecScatterCreate(lu->b_seq,is_iden,b,is_iden,&lu->scat_sol);CHKERRQ(ierr); 424 ierr = ISDestroy(is_iden);CHKERRQ(ierr); 425 ierr = VecDestroy(b);CHKERRQ(ierr); 426 } 427 lu->iparm[IPARM_START_TASK] = API_TASK_ORDERING; 428 lu->iparm[IPARM_END_TASK] = API_TASK_NUMFACT; 429 430 pastix((pastix_data_t **)&(lu->pastix_data), 431 (MPI_Comm) lu->pastix_comm, 432 (pastix_int_t) lu->n, 433 (pastix_int_t*) lu->colptr, 434 (pastix_int_t*) lu->row, 435 (pastix_float_t*) lu->val, 436 (pastix_int_t*) lu->perm, 437 (pastix_int_t*) lu->invp, 438 (pastix_float_t*) lu->rhs, 439 (pastix_int_t) lu->rhsnbr, 440 (pastix_int_t*) lu->iparm, 441 (double*) lu->dparm); 442 if (lu->iparm[IPARM_ERROR_NUMBER] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error reported by PaStiX in analysis phase: iparm(IPARM_ERROR_NUMBER)=%d\n",lu->iparm[IPARM_ERROR_NUMBER]); 443 } else { 444 lu->iparm[IPARM_START_TASK] = API_TASK_NUMFACT; 445 lu->iparm[IPARM_END_TASK] = API_TASK_NUMFACT; 446 pastix((pastix_data_t **)&(lu->pastix_data), 447 (MPI_Comm) lu->pastix_comm, 448 (pastix_int_t) lu->n, 449 (pastix_int_t*) lu->colptr, 450 (pastix_int_t*) lu->row, 451 (pastix_float_t*) lu->val, 452 (pastix_int_t*) lu->perm, 453 (pastix_int_t*) lu->invp, 454 (pastix_float_t*) lu->rhs, 455 (pastix_int_t) lu->rhsnbr, 456 (pastix_int_t*) lu->iparm, 457 (double*) lu->dparm); 458 459 if (lu->iparm[IPARM_ERROR_NUMBER] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error reported by PaStiX in analysis phase: iparm(IPARM_ERROR_NUMBER)=%d\n",lu->iparm[IPARM_ERROR_NUMBER]); 460 } 461 462 if (lu->commSize > 1){ 463 if ((F)->factortype == MAT_FACTOR_LU){ 464 F_diag = ((Mat_MPIAIJ *)(F)->data)->A; 465 } else { 466 F_diag = ((Mat_MPISBAIJ *)(F)->data)->A; 467 } 468 F_diag->assembled = PETSC_TRUE; 469 } 470 (F)->assembled = PETSC_TRUE; 471 lu->matstruc = SAME_NONZERO_PATTERN; 472 lu->CleanUpPastix = PETSC_TRUE; 473 PetscFunctionReturn(0); 474 } 475 476 /* Note the Petsc r and c permutations are ignored */ 477 #undef __FUNCT__ 478 #define __FUNCT__ "MatLUFactorSymbolic_AIJPASTIX" 479 PetscErrorCode MatLUFactorSymbolic_AIJPASTIX(Mat F,Mat A,IS r,IS c,const MatFactorInfo *info) 480 { 481 Mat_Pastix *lu = (Mat_Pastix*)F->spptr; 482 483 PetscFunctionBegin; 484 lu->iparm[IPARM_FACTORIZATION] = API_FACT_LU; 485 lu->iparm[IPARM_SYM] = API_SYM_YES; 486 lu->matstruc = DIFFERENT_NONZERO_PATTERN; 487 F->ops->lufactornumeric = MatFactorNumeric_PaStiX; 488 PetscFunctionReturn(0); 489 } 490 491 492 /* Note the Petsc r permutation is ignored */ 493 #undef __FUNCT__ 494 #define __FUNCT__ "MatCholeskyFactorSymbolic_SBAIJPASTIX" 495 PetscErrorCode MatCholeskyFactorSymbolic_SBAIJPASTIX(Mat F,Mat A,IS r,const MatFactorInfo *info) 496 { 497 Mat_Pastix *lu = (Mat_Pastix*)(F)->spptr; 498 499 PetscFunctionBegin; 500 lu->iparm[IPARM_FACTORIZATION] = API_FACT_LLT; 501 lu->iparm[IPARM_SYM] = API_SYM_NO; 502 lu->matstruc = DIFFERENT_NONZERO_PATTERN; 503 (F)->ops->choleskyfactornumeric = MatFactorNumeric_PaStiX; 504 PetscFunctionReturn(0); 505 } 506 507 #undef __FUNCT__ 508 #define __FUNCT__ "MatView_PaStiX" 509 PetscErrorCode MatView_PaStiX(Mat A,PetscViewer viewer) 510 { 511 PetscErrorCode ierr; 512 PetscBool iascii; 513 PetscViewerFormat format; 514 515 PetscFunctionBegin; 516 ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 517 if (iascii) { 518 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 519 if (format == PETSC_VIEWER_ASCII_INFO){ 520 Mat_Pastix *lu=(Mat_Pastix*)A->spptr; 521 522 ierr = PetscViewerASCIIPrintf(viewer,"PaStiX run parameters:\n");CHKERRQ(ierr); 523 ierr = PetscViewerASCIIPrintf(viewer," Matrix type : %s \n",((lu->iparm[IPARM_SYM] == API_SYM_YES)?"Symmetric":"Unsymmetric"));CHKERRQ(ierr); 524 ierr = PetscViewerASCIIPrintf(viewer," Level of printing (0,1,2): %d \n",lu->iparm[IPARM_VERBOSE]);CHKERRQ(ierr); 525 ierr = PetscViewerASCIIPrintf(viewer," Number of refinements iterations : %d \n",lu->iparm[IPARM_NBITER]);CHKERRQ(ierr); 526 ierr = PetscPrintf(PETSC_COMM_SELF," Error : %g \n",lu->dparm[DPARM_RELATIVE_ERROR]);CHKERRQ(ierr); 527 } 528 } 529 PetscFunctionReturn(0); 530 } 531 532 533 /*MC 534 MATSOLVERPASTIX - A solver package providing direct solvers (LU) for distributed 535 and sequential matrices via the external package PaStiX. 536 537 Use ./configure --download-pastix to have PETSc installed with PaStiX 538 539 Options Database Keys: 540 + -mat_pastix_verbose <0,1,2> - print level 541 - -mat_pastix_threadnbr <integer> - Set the thread number by MPI task. 542 543 Level: beginner 544 545 .seealso: PCFactorSetMatSolverPackage(), MatSolverPackage 546 547 M*/ 548 549 550 #undef __FUNCT__ 551 #define __FUNCT__ "MatGetInfo_PaStiX" 552 PetscErrorCode MatGetInfo_PaStiX(Mat A,MatInfoType flag,MatInfo *info) 553 { 554 Mat_Pastix *lu =(Mat_Pastix*)A->spptr; 555 556 PetscFunctionBegin; 557 info->block_size = 1.0; 558 info->nz_allocated = lu->iparm[IPARM_NNZEROS]; 559 info->nz_used = lu->iparm[IPARM_NNZEROS]; 560 info->nz_unneeded = 0.0; 561 info->assemblies = 0.0; 562 info->mallocs = 0.0; 563 info->memory = 0.0; 564 info->fill_ratio_given = 0; 565 info->fill_ratio_needed = 0; 566 info->factor_mallocs = 0; 567 PetscFunctionReturn(0); 568 } 569 570 EXTERN_C_BEGIN 571 #undef __FUNCT__ 572 #define __FUNCT__ "MatFactorGetSolverPackage_pastix" 573 PetscErrorCode MatFactorGetSolverPackage_pastix(Mat A,const MatSolverPackage *type) 574 { 575 PetscFunctionBegin; 576 *type = MATSOLVERPASTIX; 577 PetscFunctionReturn(0); 578 } 579 EXTERN_C_END 580 581 EXTERN_C_BEGIN 582 /* 583 The seq and mpi versions of this function are the same 584 */ 585 #undef __FUNCT__ 586 #define __FUNCT__ "MatGetFactor_seqaij_pastix" 587 PetscErrorCode MatGetFactor_seqaij_pastix(Mat A,MatFactorType ftype,Mat *F) 588 { 589 Mat B; 590 PetscErrorCode ierr; 591 Mat_Pastix *pastix; 592 593 PetscFunctionBegin; 594 if (ftype != MAT_FACTOR_LU) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot use PETSc AIJ matrices with PaStiX Cholesky, use SBAIJ matrix"); 595 /* Create the factorization matrix */ 596 ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr); 597 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 598 ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr); 599 ierr = MatSeqAIJSetPreallocation(B,0,PETSC_NULL);CHKERRQ(ierr); 600 601 B->ops->lufactorsymbolic = MatLUFactorSymbolic_AIJPASTIX; 602 B->ops->view = MatView_PaStiX; 603 B->ops->getinfo = MatGetInfo_PaStiX; 604 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_pastix", MatFactorGetSolverPackage_pastix);CHKERRQ(ierr); 605 B->factortype = MAT_FACTOR_LU; 606 607 ierr = PetscNewLog(B,Mat_Pastix,&pastix);CHKERRQ(ierr); 608 pastix->CleanUpPastix = PETSC_FALSE; 609 pastix->isAIJ = PETSC_TRUE; 610 pastix->scat_rhs = PETSC_NULL; 611 pastix->scat_sol = PETSC_NULL; 612 pastix->MatDestroy = B->ops->destroy; 613 B->ops->destroy = MatDestroy_Pastix; 614 B->spptr = (void*)pastix; 615 616 *F = B; 617 PetscFunctionReturn(0); 618 } 619 EXTERN_C_END 620 621 622 EXTERN_C_BEGIN 623 #undef __FUNCT__ 624 #define __FUNCT__ "MatGetFactor_mpiaij_pastix" 625 PetscErrorCode MatGetFactor_mpiaij_pastix(Mat A,MatFactorType ftype,Mat *F) 626 { 627 Mat B; 628 PetscErrorCode ierr; 629 Mat_Pastix *pastix; 630 631 PetscFunctionBegin; 632 if (ftype != MAT_FACTOR_LU) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot use PETSc AIJ matrices with PaStiX Cholesky, use SBAIJ matrix"); 633 /* Create the factorization matrix */ 634 ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr); 635 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 636 ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr); 637 ierr = MatSeqAIJSetPreallocation(B,0,PETSC_NULL);CHKERRQ(ierr); 638 ierr = MatMPIAIJSetPreallocation(B,0,PETSC_NULL,0,PETSC_NULL);CHKERRQ(ierr); 639 640 B->ops->lufactorsymbolic = MatLUFactorSymbolic_AIJPASTIX; 641 B->ops->view = MatView_PaStiX; 642 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_pastix",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr); 643 B->factortype = MAT_FACTOR_LU; 644 645 ierr = PetscNewLog(B,Mat_Pastix,&pastix);CHKERRQ(ierr); 646 pastix->CleanUpPastix = PETSC_FALSE; 647 pastix->isAIJ = PETSC_TRUE; 648 pastix->scat_rhs = PETSC_NULL; 649 pastix->scat_sol = PETSC_NULL; 650 pastix->MatDestroy = B->ops->destroy; 651 B->ops->destroy = MatDestroy_Pastix; 652 B->spptr = (void*)pastix; 653 654 *F = B; 655 PetscFunctionReturn(0); 656 } 657 EXTERN_C_END 658 659 EXTERN_C_BEGIN 660 #undef __FUNCT__ 661 #define __FUNCT__ "MatGetFactor_seqsbaij_pastix" 662 PetscErrorCode MatGetFactor_seqsbaij_pastix(Mat A,MatFactorType ftype,Mat *F) 663 { 664 Mat B; 665 PetscErrorCode ierr; 666 Mat_Pastix *pastix; 667 668 PetscFunctionBegin; 669 if (ftype != MAT_FACTOR_CHOLESKY) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot use PETSc SBAIJ matrices with PaStiX LU, use AIJ matrix"); 670 /* Create the factorization matrix */ 671 ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr); 672 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 673 ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr); 674 ierr = MatSeqSBAIJSetPreallocation(B,1,0,PETSC_NULL);CHKERRQ(ierr); 675 ierr = MatMPISBAIJSetPreallocation(B,1,0,PETSC_NULL,0,PETSC_NULL);CHKERRQ(ierr); 676 677 B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SBAIJPASTIX; 678 B->ops->view = MatView_PaStiX; 679 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_pastix",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr); 680 B->factortype = MAT_FACTOR_CHOLESKY; 681 682 ierr = PetscNewLog(B,Mat_Pastix,&pastix);CHKERRQ(ierr); 683 pastix->CleanUpPastix = PETSC_FALSE; 684 pastix->isAIJ = PETSC_TRUE; 685 pastix->scat_rhs = PETSC_NULL; 686 pastix->scat_sol = PETSC_NULL; 687 pastix->MatDestroy = B->ops->destroy; 688 B->ops->destroy = MatDestroy_Pastix; 689 B->spptr = (void*)pastix; 690 691 *F = B; 692 PetscFunctionReturn(0); 693 } 694 EXTERN_C_END 695 696 EXTERN_C_BEGIN 697 #undef __FUNCT__ 698 #define __FUNCT__ "MatGetFactor_mpisbaij_pastix" 699 PetscErrorCode MatGetFactor_mpisbaij_pastix(Mat A,MatFactorType ftype,Mat *F) 700 { 701 Mat B; 702 PetscErrorCode ierr; 703 Mat_Pastix *pastix; 704 705 PetscFunctionBegin; 706 if (ftype != MAT_FACTOR_CHOLESKY) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot use PETSc SBAIJ matrices with PaStiX LU, use AIJ matrix"); 707 708 /* Create the factorization matrix */ 709 ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr); 710 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 711 ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr); 712 ierr = MatSeqSBAIJSetPreallocation(B,1,0,PETSC_NULL);CHKERRQ(ierr); 713 ierr = MatMPISBAIJSetPreallocation(B,1,0,PETSC_NULL,0,PETSC_NULL);CHKERRQ(ierr); 714 715 B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SBAIJPASTIX; 716 B->ops->view = MatView_PaStiX; 717 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_pastix",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr); 718 B->factortype = MAT_FACTOR_CHOLESKY; 719 720 ierr = PetscNewLog(B,Mat_Pastix,&pastix);CHKERRQ(ierr); 721 pastix->CleanUpPastix = PETSC_FALSE; 722 pastix->isAIJ = PETSC_TRUE; 723 pastix->scat_rhs = PETSC_NULL; 724 pastix->scat_sol = PETSC_NULL; 725 pastix->MatDestroy = B->ops->destroy; 726 B->ops->destroy = MatDestroy_Pastix; 727 B->spptr = (void*)pastix; 728 729 *F = B; 730 PetscFunctionReturn(0); 731 } 732 EXTERN_C_END 733