Date: 2025-03-29T05:58:31+00:00

Actual source code: wbm.c

      1: #include <petscmat.h>
      2: #include <petsc/private/matorderimpl.h>

      4: #if defined(PETSC_HAVE_SUPERLU_DIST)

      6:   /* SuperLU_DIST bundles f2ced mc64ad_() from HSL */

      8:   /*
      9:    SuperLU_dist uses a common flag for both Fortran mangling and BLAS/LAPACK mangling which
     10:    corresponds to the PETSc BLAS/LAPACK mangling flag (we pass this flag to configure SuperLU_dist)
     11: */

     13:   /* Why not include superlu_dist includes? */
     14:   #if defined(PETSC_BLASLAPACK_CAPS)
     15:     #define mc64id_dist MC64ID_DIST
     16:     #define mc64ad_dist MC64AD_DIST

     18:   #elif !defined(PETSC_BLASLAPACK_UNDERSCORE)
     19:     #define mc64id_dist mc64id_dist
     20:     #define mc64ad_dist mc64ad_dist

     22:   #endif

     24: PETSC_EXTERN PetscInt mc64id_dist(PetscInt *);
     25: PETSC_EXTERN PetscInt mc64ad_dist(const PetscInt *, PetscInt *, PetscInt *, const PetscInt *, const PetscInt *n, PetscScalar *, PetscInt *, PetscInt *, PetscInt *, PetscInt *, PetscInt *, PetscScalar *, PetscInt *, PetscInt *);
     26: #endif

     28: /*
     29:   MatGetOrdering_WBM - Find the nonsymmetric reordering of the graph which maximizes the product of diagonal entries,
     30:     using weighted bipartite graph matching. This is MC64 in the Harwell-Boeing library.
     31: */
     32: PETSC_INTERN PetscErrorCode MatGetOrdering_WBM(Mat mat, MatOrderingType type, IS *row, IS *col)
     33: {
     34:   PetscScalar    *a, *dw;
     35:   const PetscInt *ia, *ja;
     36:   PetscInt        job = 5;
     37:   PetscInt       *perm, nrow, ncol, nnz, liw, *iw, ldw;
     38:   PetscBool       done;
     39: #if defined(PETSC_HAVE_SUPERLU_DIST)
     40:   PetscInt num, info[10], icntl[10], i;
     41: #endif

     43:   PetscFunctionBegin;
     44:   PetscCall(MatGetRowIJ(mat, 1, PETSC_TRUE, PETSC_TRUE, &nrow, &ia, &ja, &done));
     45:   ncol = nrow;
     46:   nnz  = ia[nrow];
     47:   PetscCheck(done, PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "Cannot get rows for matrix");
     48:   PetscCall(MatSeqAIJGetArray(mat, &a));
     49:   switch (job) {
     50:   case 1:
     51:     liw = 4 * nrow + ncol;
     52:     ldw = 0;
     53:     break;
     54:   case 2:
     55:     liw = 2 * nrow + 2 * ncol;
     56:     ldw = ncol;
     57:     break;
     58:   case 3:
     59:     liw = 8 * nrow + 2 * ncol + nnz;
     60:     ldw = nnz;
     61:     break;
     62:   case 4:
     63:     liw = 3 * nrow + 2 * ncol;
     64:     ldw = 2 * ncol + nnz;
     65:     break;
     66:   case 5:
     67:     liw = 3 * nrow + 2 * ncol;
     68:     ldw = nrow + 2 * ncol + nnz;
     69:     break;
     70:   }

     72:   PetscCall(PetscMalloc3(liw, &iw, ldw, &dw, nrow, &perm));
     73: #if defined(PETSC_HAVE_SUPERLU_DIST)
     74:   PetscCallExternal(mc64id_dist, icntl);
     75:   icntl[0] = 0;  /* allow printing error messages (f2c'd code uses if non-negative, ignores value otherwise) */
     76:   icntl[1] = -1; /* suppress warnings */
     77:   icntl[2] = -1; /* ignore diagnostic output [default] */
     78:   icntl[3] = 0;  /* perform consistency checks [default] */
     79:   PetscCallExternal(mc64ad_dist, &job, &nrow, &nnz, ia, ja, a, &num, perm, &liw, iw, &ldw, dw, icntl, info);
     80:   PetscCall(MatRestoreRowIJ(mat, 1, PETSC_TRUE, PETSC_TRUE, NULL, &ia, &ja, &done));
     81:   for (i = 0; i < nrow; ++i) perm[i]--;
     82:   /* If job == 5, dw[0..ncols] contains the column scaling and dw[ncols..ncols+nrows] contains the row scaling */
     83:   PetscCall(ISCreateStride(PETSC_COMM_SELF, nrow, 0, 1, row));
     84:   PetscCall(ISCreateGeneral(PETSC_COMM_SELF, nrow, perm, PETSC_COPY_VALUES, col));
     85:   PetscCall(PetscFree3(iw, dw, perm));
     86:   PetscFunctionReturn(PETSC_SUCCESS);
     87: #else
     88:   SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_SUP, "WBM using MC64 does not support complex numbers");
     89: #endif
     90: }