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 PetscTruth CleanUpPastix; /* Boolean indicating if we call PaStiX clean step */ 39 VecScatter scat_rhs; 40 VecScatter scat_sol; 41 Vec b_seq; 42 PetscTruth 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,PetscTruth 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 PetscTruth isSBAIJ; 78 PetscTruth isSeqSBAIJ; 79 PetscTruth isMpiSBAIJ; 80 PetscTruth 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_ERR_PLIB,"overflow on k %D",k); 160 } 161 } 162 } 163 } 164 { 165 PetscScalar *tmpvalues; 166 PetscInt *tmprows,*tmpcolptr; 167 tmpvalues = malloc(nnz*sizeof(PetscScalar)); if (!tmpvalues) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory"); 168 tmprows = malloc(nnz*sizeof(PetscInt));if (!tmprows) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory"); 169 tmpcolptr = malloc((*n+1)*sizeof(PetscInt));if (!tmpcolptr) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory"); 170 171 if (sizeof(PetscScalar) != sizeof(pastix_float_t)) { 172 SETERRQ2(PETSC_ERR_SUP,"sizeof(PetscScalar) %d != sizeof(pastix_float_t) %d",sizeof(PetscScalar),sizeof(pastix_float_t)); 173 } 174 if (sizeof(PetscInt) != sizeof(pastix_int_t)) { 175 SETERRQ2(PETSC_ERR_SUP,"sizeof(PetscInt) %d != sizeof(pastix_int_t) %d",sizeof(PetscInt),sizeof(pastix_int_t)); 176 } 177 178 ierr = PetscMemcpy(tmpcolptr,*colptr,(*n+1)*sizeof(PetscInt));CHKERRQ(ierr); 179 ierr = PetscMemcpy(tmprows,*row,nnz*sizeof(PetscInt));CHKERRQ(ierr); 180 ierr = PetscMemcpy(tmpvalues,*values,nnz*sizeof(PetscScalar));CHKERRQ(ierr); 181 ierr = PetscFree(*row);CHKERRQ(ierr); 182 ierr = PetscFree(*values);CHKERRQ(ierr); 183 184 pastix_checkMatrix(MPI_COMM_WORLD,API_VERBOSE_NO,((isSym != 0) ? API_SYM_YES : API_SYM_NO),API_YES,*n,&tmpcolptr,&tmprows,&tmpvalues,NULL,1); 185 186 ierr = PetscMemcpy(*colptr,tmpcolptr,(*n+1)*sizeof(PetscInt));CHKERRQ(ierr); 187 ierr = PetscMalloc(((*colptr)[*n]-1)*sizeof(PetscInt),row);CHKERRQ(ierr); 188 ierr = PetscMemcpy(*row,tmprows,((*colptr)[*n]-1)*sizeof(PetscInt));CHKERRQ(ierr); 189 ierr = PetscMalloc(((*colptr)[*n]-1)*sizeof(PetscScalar),values);CHKERRQ(ierr); 190 ierr = PetscMemcpy(*values,tmpvalues,((*colptr)[*n]-1)*sizeof(PetscScalar));CHKERRQ(ierr); 191 free(tmpvalues); 192 free(tmprows); 193 free(tmpcolptr); 194 } 195 PetscFunctionReturn(0); 196 } 197 198 199 200 #undef __FUNCT__ 201 #define __FUNCT__ "MatDestroy_Pastix" 202 /* 203 Call clean step of PaStiX if lu->CleanUpPastix == true. 204 Free the CSC matrix. 205 */ 206 PetscErrorCode MatDestroy_Pastix(Mat A) 207 { 208 Mat_Pastix *lu=(Mat_Pastix*)A->spptr; 209 PetscErrorCode ierr; 210 PetscMPIInt size=lu->commSize; 211 212 PetscFunctionBegin; 213 if (lu->CleanUpPastix) { 214 /* Terminate instance, deallocate memories */ 215 if (size > 1){ 216 ierr = VecScatterDestroy(lu->scat_rhs);CHKERRQ(ierr); 217 ierr = VecDestroy(lu->b_seq);CHKERRQ(ierr); 218 ierr = VecScatterDestroy(lu->scat_sol);CHKERRQ(ierr); 219 } 220 221 lu->iparm[IPARM_START_TASK]=API_TASK_CLEAN; 222 lu->iparm[IPARM_END_TASK]=API_TASK_CLEAN; 223 224 pastix((pastix_data_t **)&(lu->pastix_data), 225 lu->pastix_comm, 226 (pastix_int_t) lu->n, 227 (pastix_int_t*) lu->colptr, 228 (pastix_int_t*) lu->row, 229 (pastix_float_t*) lu->val, 230 (pastix_int_t*) lu->perm, 231 (pastix_int_t*) lu->invp, 232 (pastix_float_t*) lu->rhs, 233 (pastix_int_t) lu->rhsnbr, 234 (pastix_int_t*) lu->iparm, 235 lu->dparm); 236 237 ierr = PetscFree(lu->colptr);CHKERRQ(ierr); 238 ierr = PetscFree(lu->row); CHKERRQ(ierr); 239 ierr = PetscFree(lu->val); CHKERRQ(ierr); 240 ierr = PetscFree(lu->perm); CHKERRQ(ierr); 241 ierr = PetscFree(lu->invp); CHKERRQ(ierr); 242 ierr = MPI_Comm_free(&(lu->pastix_comm));CHKERRQ(ierr); 243 } 244 ierr = (lu->MatDestroy)(A);CHKERRQ(ierr); 245 PetscFunctionReturn(0); 246 } 247 248 #undef __FUNCT__ 249 #define __FUNCT__ "MatSolve_PaStiX" 250 /* 251 Gather right-hand-side. 252 Call for Solve step. 253 Scatter solution. 254 */ 255 PetscErrorCode MatSolve_PaStiX(Mat A,Vec b,Vec x) 256 { 257 Mat_Pastix *lu=(Mat_Pastix*)A->spptr; 258 PetscScalar *array; 259 Vec x_seq; 260 PetscErrorCode ierr; 261 262 PetscFunctionBegin; 263 lu->rhsnbr = 1; 264 x_seq = lu->b_seq; 265 if (lu->commSize > 1){ 266 /* PaStiX only supports centralized rhs. Scatter b into a seqential rhs vector */ 267 ierr = VecScatterBegin(lu->scat_rhs,b,x_seq,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 268 ierr = VecScatterEnd(lu->scat_rhs,b,x_seq,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 269 ierr = VecGetArray(x_seq,&array);CHKERRQ(ierr); 270 } else { /* size == 1 */ 271 ierr = VecCopy(b,x);CHKERRQ(ierr); 272 ierr = VecGetArray(x,&array);CHKERRQ(ierr); 273 } 274 lu->rhs = array; 275 if (lu->commSize == 1){ 276 ierr = VecRestoreArray(x,&array);CHKERRQ(ierr); 277 } else { 278 ierr = VecRestoreArray(x_seq,&array);CHKERRQ(ierr); 279 } 280 281 /* solve phase */ 282 /*-------------*/ 283 lu->iparm[IPARM_START_TASK] = API_TASK_SOLVE; 284 lu->iparm[IPARM_END_TASK] = API_TASK_REFINE; 285 lu->iparm[IPARM_RHS_MAKING] = API_RHS_B; 286 287 pastix((pastix_data_t **)&(lu->pastix_data), 288 (MPI_Comm) lu->pastix_comm, 289 (pastix_int_t) lu->n, 290 (pastix_int_t*) lu->colptr, 291 (pastix_int_t*) lu->row, 292 (pastix_float_t*) lu->val, 293 (pastix_int_t*) lu->perm, 294 (pastix_int_t*) lu->invp, 295 (pastix_float_t*) lu->rhs, 296 (pastix_int_t) lu->rhsnbr, 297 (pastix_int_t*) lu->iparm, 298 (double*) lu->dparm); 299 300 if (lu->iparm[IPARM_ERROR_NUMBER] < 0) { 301 SETERRQ1(PETSC_ERR_LIB,"Error reported by PaStiX in solve phase: lu->iparm[IPARM_ERROR_NUMBER] = %d\n",lu->iparm[IPARM_ERROR_NUMBER] ); 302 } 303 304 if (lu->commSize == 1){ 305 ierr = VecRestoreArray(x,&(lu->rhs));CHKERRQ(ierr); 306 } else { 307 ierr = VecRestoreArray(x_seq,&(lu->rhs));CHKERRQ(ierr); 308 } 309 310 if (lu->commSize > 1) { /* convert PaStiX centralized solution to petsc mpi x */ 311 ierr = VecScatterBegin(lu->scat_sol,x_seq,x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 312 ierr = VecScatterEnd(lu->scat_sol,x_seq,x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 313 } 314 PetscFunctionReturn(0); 315 } 316 317 /* 318 Numeric factorisation using PaStiX solver. 319 320 */ 321 #undef __FUNCT__ 322 #define __FUNCT__ "MatFactorNumeric_PASTIX" 323 PetscErrorCode MatFactorNumeric_PaStiX(Mat F,Mat A,const MatFactorInfo *info) 324 { 325 Mat_Pastix *lu =(Mat_Pastix*)(F)->spptr; 326 Mat *tseq; 327 PetscErrorCode ierr = 0; 328 PetscInt icntl; 329 PetscInt M=A->rmap->N; 330 PetscTruth valOnly,flg, isSym; 331 Mat F_diag; 332 IS is_iden; 333 Vec b; 334 IS isrow; 335 PetscTruth isSeqAIJ,isSeqSBAIJ; 336 337 PetscFunctionBegin; 338 339 ierr = PetscTypeCompare((PetscObject)A,MATSEQAIJ,&isSeqAIJ);CHKERRQ(ierr); 340 ierr = PetscTypeCompare((PetscObject)A,MATSEQSBAIJ,&isSeqSBAIJ);CHKERRQ(ierr); 341 if (lu->matstruc == DIFFERENT_NONZERO_PATTERN){ 342 (F)->ops->solve = MatSolve_PaStiX; 343 344 /* Initialize a PASTIX instance */ 345 ierr = MPI_Comm_dup(((PetscObject)A)->comm,&(lu->pastix_comm));CHKERRQ(ierr); 346 ierr = MPI_Comm_rank(lu->pastix_comm, &lu->commRank); CHKERRQ(ierr); 347 ierr = MPI_Comm_size(lu->pastix_comm, &lu->commSize); CHKERRQ(ierr); 348 349 /* Set pastix options */ 350 lu->iparm[IPARM_MODIFY_PARAMETER] = API_NO; 351 lu->iparm[IPARM_START_TASK] = API_TASK_INIT; 352 lu->iparm[IPARM_END_TASK] = API_TASK_INIT; 353 lu->rhsnbr = 1; 354 355 /* Call to set default pastix options */ 356 pastix((pastix_data_t **)&(lu->pastix_data), 357 (MPI_Comm) lu->pastix_comm, 358 (pastix_int_t) lu->n, 359 (pastix_int_t*) lu->colptr, 360 (pastix_int_t*) lu->row, 361 (pastix_float_t*) lu->val, 362 (pastix_int_t*) lu->perm, 363 (pastix_int_t*) lu->invp, 364 (pastix_float_t*) lu->rhs, 365 (pastix_int_t) lu->rhsnbr, 366 (pastix_int_t*) lu->iparm, 367 (double*) lu->dparm); 368 369 ierr = PetscOptionsBegin(((PetscObject)A)->comm,((PetscObject)A)->prefix,"PaStiX Options","Mat");CHKERRQ(ierr); 370 371 icntl=-1; 372 lu->iparm[IPARM_VERBOSE] = API_VERBOSE_NOT; 373 ierr = PetscOptionsInt("-mat_pastix_verbose","iparm[IPARM_VERBOSE] : level of printing (0 to 2)","None",lu->iparm[IPARM_VERBOSE],&icntl,&flg);CHKERRQ(ierr); 374 if ((flg && icntl > 0) || PetscLogPrintInfo) { 375 lu->iparm[IPARM_VERBOSE] = icntl; 376 } 377 icntl=-1; 378 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); 379 if ((flg && icntl > 0)) { 380 lu->iparm[IPARM_THREAD_NBR] = icntl; 381 } 382 PetscOptionsEnd(); 383 valOnly = PETSC_FALSE; 384 } else { 385 valOnly = PETSC_TRUE; 386 } 387 388 lu->iparm[IPARM_MATRIX_VERIFICATION] = API_YES; 389 390 /* convert mpi A to seq mat A */ 391 ierr = ISCreateStride(PETSC_COMM_SELF,M,0,1,&isrow);CHKERRQ(ierr); 392 ierr = MatGetSubMatrices(A,1,&isrow,&isrow,MAT_INITIAL_MATRIX,&tseq);CHKERRQ(ierr); 393 ierr = ISDestroy(isrow);CHKERRQ(ierr); 394 395 ierr = MatConvertToCSC(*tseq,valOnly, &lu->n, &lu->colptr, &lu->row, &lu->val);CHKERRQ(ierr); 396 ierr = MatIsSymmetric(*tseq,0.0,&isSym);CHKERRQ(ierr); 397 ierr = MatDestroyMatrices(1,&tseq);CHKERRQ(ierr); 398 399 ierr = PetscMalloc((lu->n)*sizeof(PetscInt) ,&(lu->perm));CHKERRQ(ierr); 400 ierr = PetscMalloc((lu->n)*sizeof(PetscInt) ,&(lu->invp));CHKERRQ(ierr); 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) { 443 SETERRQ1(PETSC_ERR_LIB,"Error reported by PaStiX in analysis phase: iparm(IPARM_ERROR_NUMBER)=%d\n",lu->iparm[IPARM_ERROR_NUMBER]); 444 } 445 } else { 446 lu->iparm[IPARM_START_TASK] = API_TASK_NUMFACT; 447 lu->iparm[IPARM_END_TASK] = API_TASK_NUMFACT; 448 pastix((pastix_data_t **)&(lu->pastix_data), 449 (MPI_Comm) lu->pastix_comm, 450 (pastix_int_t) lu->n, 451 (pastix_int_t*) lu->colptr, 452 (pastix_int_t*) lu->row, 453 (pastix_float_t*) lu->val, 454 (pastix_int_t*) lu->perm, 455 (pastix_int_t*) lu->invp, 456 (pastix_float_t*) lu->rhs, 457 (pastix_int_t) lu->rhsnbr, 458 (pastix_int_t*) lu->iparm, 459 (double*) lu->dparm); 460 461 if (lu->iparm[IPARM_ERROR_NUMBER] < 0) { 462 SETERRQ1(PETSC_ERR_LIB,"Error reported by PaStiX in analysis phase: iparm(IPARM_ERROR_NUMBER)=%d\n",lu->iparm[IPARM_ERROR_NUMBER]); 463 } 464 } 465 466 if (lu->commSize > 1){ 467 if ((F)->factor == MAT_FACTOR_LU){ 468 F_diag = ((Mat_MPIAIJ *)(F)->data)->A; 469 } else { 470 F_diag = ((Mat_MPISBAIJ *)(F)->data)->A; 471 } 472 F_diag->assembled = PETSC_TRUE; 473 } 474 (F)->assembled = PETSC_TRUE; 475 lu->matstruc = SAME_NONZERO_PATTERN; 476 lu->CleanUpPastix = PETSC_TRUE; 477 PetscFunctionReturn(0); 478 } 479 480 /* Note the Petsc r and c permutations are ignored */ 481 #undef __FUNCT__ 482 #define __FUNCT__ "MatLUFactorSymbolic_AIJPASTIX" 483 PetscErrorCode MatLUFactorSymbolic_AIJPASTIX(Mat F,Mat A,IS r,IS c,const MatFactorInfo *info) 484 { 485 Mat_Pastix *lu = (Mat_Pastix*)F->spptr; 486 487 PetscFunctionBegin; 488 lu->iparm[IPARM_FACTORIZATION] = API_FACT_LU; 489 lu->iparm[IPARM_SYM] = API_SYM_YES; 490 lu->matstruc = DIFFERENT_NONZERO_PATTERN; 491 F->ops->lufactornumeric = MatFactorNumeric_PaStiX; 492 PetscFunctionReturn(0); 493 } 494 495 496 /* Note the Petsc r permutation is ignored */ 497 #undef __FUNCT__ 498 #define __FUNCT__ "MatCholeskyFactorSymbolic_SBAIJPASTIX" 499 PetscErrorCode MatCholeskyFactorSymbolic_SBAIJPASTIX(Mat F,Mat A,IS r,const MatFactorInfo *info) 500 { 501 Mat_Pastix *lu = (Mat_Pastix*)(F)->spptr; 502 503 PetscFunctionBegin; 504 lu->iparm[IPARM_FACTORIZATION] = API_FACT_LLT; 505 lu->iparm[IPARM_SYM] = API_SYM_NO; 506 lu->matstruc = DIFFERENT_NONZERO_PATTERN; 507 (F)->ops->choleskyfactornumeric = MatFactorNumeric_PaStiX; 508 PetscFunctionReturn(0); 509 } 510 511 #undef __FUNCT__ 512 #define __FUNCT__ "MatView_PaStiX" 513 PetscErrorCode MatView_PaStiX(Mat A,PetscViewer viewer) 514 { 515 PetscErrorCode ierr; 516 PetscTruth iascii; 517 PetscViewerFormat format; 518 519 PetscFunctionBegin; 520 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr); 521 if (iascii) { 522 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 523 if (format == PETSC_VIEWER_ASCII_INFO){ 524 Mat_Pastix *lu=(Mat_Pastix*)A->spptr; 525 526 ierr = PetscViewerASCIIPrintf(viewer,"PaStiX run parameters:\n");CHKERRQ(ierr); 527 ierr = PetscViewerASCIIPrintf(viewer," Matrix type : %s \n",((lu->iparm[IPARM_SYM] == API_SYM_YES)?"Symmetric":"Unsymmetric"));CHKERRQ(ierr); 528 ierr = PetscViewerASCIIPrintf(viewer," Level of printing (0,1,2): %d \n",lu->iparm[IPARM_VERBOSE]);CHKERRQ(ierr); 529 ierr = PetscViewerASCIIPrintf(viewer," Number of refinements iterations : %d \n",lu->iparm[IPARM_NBITER]);CHKERRQ(ierr); 530 ierr = PetscPrintf(PETSC_COMM_SELF," Error : %g \n",lu->dparm[DPARM_RELATIVE_ERROR]);CHKERRQ(ierr); 531 } 532 } 533 PetscFunctionReturn(0); 534 } 535 536 537 /*MC 538 MAT_SOLVER_PASTIX - A solver package providing direct solvers (LU) for distributed 539 and sequential matrices via the external package PaStiX. 540 541 Use config/configure.py --download-pastix to have PETSc installed with PaStiX 542 543 Options Database Keys: 544 + -mat_pastix_verbose <0,1,2> - print level 545 - -mat_pastix_threadnbr <integer> - Set the thread number by MPI task. 546 547 Level: beginner 548 549 .seealso: PCFactorSetMatSolverPackage(), MatSolverPackage 550 551 M*/ 552 553 554 #undef __FUNCT__ 555 #define __FUNCT__ "MatGetInfo_PaStiX" 556 PetscErrorCode MatGetInfo_PaStiX(Mat A,MatInfoType flag,MatInfo *info) 557 { 558 Mat_Pastix *lu =(Mat_Pastix*)A->spptr; 559 560 PetscFunctionBegin; 561 info->block_size = 1.0; 562 info->nz_allocated = lu->iparm[IPARM_NNZEROS]; 563 info->nz_used = lu->iparm[IPARM_NNZEROS]; 564 info->nz_unneeded = 0.0; 565 info->assemblies = 0.0; 566 info->mallocs = 0.0; 567 info->memory = 0.0; 568 info->fill_ratio_given = 0; 569 info->fill_ratio_needed = 0; 570 info->factor_mallocs = 0; 571 PetscFunctionReturn(0); 572 } 573 574 EXTERN_C_BEGIN 575 #undef __FUNCT__ 576 #define __FUNCT__ "MatFactorGetSolverPackage_pastix" 577 PetscErrorCode MatFactorGetSolverPackage_pastix(Mat A,const MatSolverPackage *type) 578 { 579 PetscFunctionBegin; 580 *type = MAT_SOLVER_PASTIX; 581 PetscFunctionReturn(0); 582 } 583 EXTERN_C_END 584 585 EXTERN_C_BEGIN 586 /* 587 The seq and mpi versions of this function are the same 588 */ 589 #undef __FUNCT__ 590 #define __FUNCT__ "MatGetFactor_seqaij_pastix" 591 PetscErrorCode MatGetFactor_seqaij_pastix(Mat A,MatFactorType ftype,Mat *F) 592 { 593 Mat B; 594 PetscErrorCode ierr; 595 Mat_Pastix *pastix; 596 597 PetscFunctionBegin; 598 if (ftype != MAT_FACTOR_LU) { 599 SETERRQ(PETSC_ERR_SUP,"Cannot use PETSc AIJ matrices with PaStiX Cholesky, use SBAIJ matrix"); 600 } 601 /* Create the factorization matrix */ 602 ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr); 603 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 604 ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr); 605 ierr = MatSeqAIJSetPreallocation(B,0,PETSC_NULL);CHKERRQ(ierr); 606 607 B->ops->lufactorsymbolic = MatLUFactorSymbolic_AIJPASTIX; 608 B->ops->view = MatView_PaStiX; 609 B->ops->getinfo = MatGetInfo_PaStiX; 610 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_pastix", MatFactorGetSolverPackage_pastix);CHKERRQ(ierr); 611 B->factor = MAT_FACTOR_LU; 612 613 ierr = PetscNewLog(B,Mat_Pastix,&pastix);CHKERRQ(ierr); 614 pastix->CleanUpPastix = PETSC_FALSE; 615 pastix->isAIJ = PETSC_TRUE; 616 pastix->scat_rhs = PETSC_NULL; 617 pastix->scat_sol = PETSC_NULL; 618 pastix->MatDestroy = B->ops->destroy; 619 B->ops->destroy = MatDestroy_Pastix; 620 B->spptr = (void*)pastix; 621 622 *F = B; 623 PetscFunctionReturn(0); 624 } 625 EXTERN_C_END 626 627 628 EXTERN_C_BEGIN 629 #undef __FUNCT__ 630 #define __FUNCT__ "MatGetFactor_mpiaij_pastix" 631 PetscErrorCode MatGetFactor_mpiaij_pastix(Mat A,MatFactorType ftype,Mat *F) 632 { 633 Mat B; 634 PetscErrorCode ierr; 635 Mat_Pastix *pastix; 636 637 PetscFunctionBegin; 638 if (ftype != MAT_FACTOR_LU) SETERRQ(PETSC_ERR_SUP,"Cannot use PETSc AIJ matrices with PaStiX Cholesky, use SBAIJ matrix"); 639 /* Create the factorization matrix */ 640 ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr); 641 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 642 ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr); 643 ierr = MatSeqAIJSetPreallocation(B,0,PETSC_NULL);CHKERRQ(ierr); 644 ierr = MatMPIAIJSetPreallocation(B,0,PETSC_NULL,0,PETSC_NULL);CHKERRQ(ierr); 645 646 B->ops->lufactorsymbolic = MatLUFactorSymbolic_AIJPASTIX; 647 B->ops->view = MatView_PaStiX; 648 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_pastix",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr); 649 B->factor = MAT_FACTOR_LU; 650 651 ierr = PetscNewLog(B,Mat_Pastix,&pastix);CHKERRQ(ierr); 652 pastix->CleanUpPastix = PETSC_FALSE; 653 pastix->isAIJ = PETSC_TRUE; 654 pastix->scat_rhs = PETSC_NULL; 655 pastix->scat_sol = PETSC_NULL; 656 pastix->MatDestroy = B->ops->destroy; 657 B->ops->destroy = MatDestroy_Pastix; 658 B->spptr = (void*)pastix; 659 660 *F = B; 661 PetscFunctionReturn(0); 662 } 663 EXTERN_C_END 664 665 EXTERN_C_BEGIN 666 #undef __FUNCT__ 667 #define __FUNCT__ "MatGetFactor_seqsbaij_pastix" 668 PetscErrorCode MatGetFactor_seqsbaij_pastix(Mat A,MatFactorType ftype,Mat *F) 669 { 670 Mat B; 671 PetscErrorCode ierr; 672 Mat_Pastix *pastix; 673 674 PetscFunctionBegin; 675 if (ftype != MAT_FACTOR_CHOLESKY) { 676 SETERRQ(PETSC_ERR_SUP,"Cannot use PETSc SBAIJ matrices with PaStiX LU, use AIJ matrix"); 677 } 678 /* Create the factorization matrix */ 679 ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr); 680 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 681 ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr); 682 ierr = MatSeqSBAIJSetPreallocation(B,1,0,PETSC_NULL);CHKERRQ(ierr); 683 ierr = MatMPISBAIJSetPreallocation(B,1,0,PETSC_NULL,0,PETSC_NULL);CHKERRQ(ierr); 684 685 B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SBAIJPASTIX; 686 B->ops->view = MatView_PaStiX; 687 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_pastix",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr); 688 689 B->factor = MAT_FACTOR_CHOLESKY; 690 691 ierr = PetscNewLog(B,Mat_Pastix,&pastix);CHKERRQ(ierr); 692 pastix->CleanUpPastix = PETSC_FALSE; 693 pastix->isAIJ = PETSC_TRUE; 694 pastix->scat_rhs = PETSC_NULL; 695 pastix->scat_sol = PETSC_NULL; 696 pastix->MatDestroy = B->ops->destroy; 697 B->ops->destroy = MatDestroy_Pastix; 698 B->spptr = (void*)pastix; 699 700 *F = B; 701 PetscFunctionReturn(0); 702 } 703 EXTERN_C_END 704 705 EXTERN_C_BEGIN 706 #undef __FUNCT__ 707 #define __FUNCT__ "MatGetFactor_mpisbaij_pastix" 708 PetscErrorCode MatGetFactor_mpisbaij_pastix(Mat A,MatFactorType ftype,Mat *F) 709 { 710 Mat B; 711 PetscErrorCode ierr; 712 Mat_Pastix *pastix; 713 714 PetscFunctionBegin; 715 if (ftype != MAT_FACTOR_CHOLESKY) SETERRQ(PETSC_ERR_SUP,"Cannot use PETSc SBAIJ matrices with PaStiX LU, use AIJ matrix"); 716 717 /* Create the factorization matrix */ 718 ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr); 719 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 720 ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr); 721 ierr = MatSeqSBAIJSetPreallocation(B,1,0,PETSC_NULL);CHKERRQ(ierr); 722 ierr = MatMPISBAIJSetPreallocation(B,1,0,PETSC_NULL,0,PETSC_NULL);CHKERRQ(ierr); 723 724 B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SBAIJPASTIX; 725 B->ops->view = MatView_PaStiX; 726 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_pastix",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr); 727 B->factor = MAT_FACTOR_CHOLESKY; 728 729 ierr = PetscNewLog(B,Mat_Pastix,&pastix);CHKERRQ(ierr); 730 pastix->CleanUpPastix = PETSC_FALSE; 731 pastix->isAIJ = PETSC_TRUE; 732 pastix->scat_rhs = PETSC_NULL; 733 pastix->scat_sol = PETSC_NULL; 734 pastix->MatDestroy = B->ops->destroy; 735 B->ops->destroy = MatDestroy_Pastix; 736 B->spptr = (void*)pastix; 737 738 *F = B; 739 PetscFunctionReturn(0); 740 } 741 EXTERN_C_END 742