xref: /petsc/src/ksp/pc/impls/tfs/tfs.c (revision 562efe2ef922487c6beae96ba39e19afd4eefbe6)

/*
        Provides an interface to the Tufo-Fischer parallel direct solver
*/

#include <petsc/private/pcimpl.h> /*I "petscpc.h" I*/
#include <../src/mat/impls/aij/mpi/mpiaij.h>
#include <../src/ksp/pc/impls/tfs/tfs.h>

typedef struct {
  xxt_ADT  xxt;
  xyt_ADT  xyt;
  Vec      b, xd, xo;
  PetscInt nd;
} PC_TFS;

static PetscErrorCode PCDestroy_TFS(PC pc)
{
  PC_TFS *tfs = (PC_TFS *)pc->data;

  PetscFunctionBegin;
  /* free the XXT datastructures */
  if (tfs->xxt) PetscCall(XXT_free(tfs->xxt));
  if (tfs->xyt) PetscCall(XYT_free(tfs->xyt));
  PetscCall(VecDestroy(&tfs->b));
  PetscCall(VecDestroy(&tfs->xd));
  PetscCall(VecDestroy(&tfs->xo));
  PetscCall(PetscFree(pc->data));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCApply_TFS_XXT(PC pc, Vec x, Vec y)
{
  PC_TFS            *tfs = (PC_TFS *)pc->data;
  PetscScalar       *yy;
  const PetscScalar *xx;

  PetscFunctionBegin;
  PetscCall(VecGetArrayRead(x, &xx));
  PetscCall(VecGetArray(y, &yy));
  PetscCall(XXT_solve(tfs->xxt, yy, (PetscScalar *)xx));
  PetscCall(VecRestoreArrayRead(x, &xx));
  PetscCall(VecRestoreArray(y, &yy));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCApply_TFS_XYT(PC pc, Vec x, Vec y)
{
  PC_TFS            *tfs = (PC_TFS *)pc->data;
  PetscScalar       *yy;
  const PetscScalar *xx;

  PetscFunctionBegin;
  PetscCall(VecGetArrayRead(x, &xx));
  PetscCall(VecGetArray(y, &yy));
  PetscCall(XYT_solve(tfs->xyt, yy, (PetscScalar *)xx));
  PetscCall(VecRestoreArrayRead(x, &xx));
  PetscCall(VecRestoreArray(y, &yy));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCTFSLocalMult_TFS(PC pc, PetscScalar *xin, PetscScalar *xout)
{
  PC_TFS     *tfs = (PC_TFS *)pc->data;
  Mat         A   = pc->pmat;
  Mat_MPIAIJ *a   = (Mat_MPIAIJ *)A->data;

  PetscFunctionBegin;
  PetscCall(VecPlaceArray(tfs->b, xout));
  PetscCall(VecPlaceArray(tfs->xd, xin));
  PetscCall(VecPlaceArray(tfs->xo, xin + tfs->nd));
  PetscCall(MatMult(a->A, tfs->xd, tfs->b));
  PetscCall(MatMultAdd(a->B, tfs->xo, tfs->b, tfs->b));
  PetscCall(VecResetArray(tfs->b));
  PetscCall(VecResetArray(tfs->xd));
  PetscCall(VecResetArray(tfs->xo));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCSetUp_TFS(PC pc)
{
  PC_TFS     *tfs = (PC_TFS *)pc->data;
  Mat         A   = pc->pmat;
  Mat_MPIAIJ *a   = (Mat_MPIAIJ *)A->data;
  PetscInt   *localtoglobal, ncol, i;
  PetscBool   ismpiaij;

  /*
  PetscBool      issymmetric;
  Petsc Real tol = 0.0;
  */

  PetscFunctionBegin;
  PetscCheck(A->cmap->N == A->rmap->N, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_SIZ, "matrix must be square");
  PetscCall(PetscObjectTypeCompare((PetscObject)pc->pmat, MATMPIAIJ, &ismpiaij));
  PetscCheck(ismpiaij, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Currently only supports MPIAIJ matrices");

  /* generate the local to global mapping */
  ncol = a->A->cmap->n + a->B->cmap->n;
  PetscCall(PetscMalloc1(ncol, &localtoglobal));
  for (i = 0; i < a->A->cmap->n; i++) localtoglobal[i] = A->cmap->rstart + i + 1;
  for (i = 0; i < a->B->cmap->n; i++) localtoglobal[i + a->A->cmap->n] = a->garray[i] + 1;

  /* generate the vectors needed for the local solves */
  PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, a->A->rmap->n, NULL, &tfs->b));
  PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, a->A->cmap->n, NULL, &tfs->xd));
  PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, a->B->cmap->n, NULL, &tfs->xo));
  tfs->nd = a->A->cmap->n;

  /*  ierr =  MatIsSymmetric(A,tol,&issymmetric); */
  /*  if (issymmetric) { */
  PetscCall(PetscBarrier((PetscObject)pc));
  if (A->symmetric == PETSC_BOOL3_TRUE) {
    tfs->xxt = XXT_new();
    PetscCall(XXT_factor(tfs->xxt, localtoglobal, A->rmap->n, ncol, (PetscErrorCode(*)(void *, PetscScalar *, PetscScalar *))PCTFSLocalMult_TFS, pc));
    pc->ops->apply = PCApply_TFS_XXT;
  } else {
    tfs->xyt = XYT_new();
    PetscCall(XYT_factor(tfs->xyt, localtoglobal, A->rmap->n, ncol, (PetscErrorCode(*)(void *, PetscScalar *, PetscScalar *))PCTFSLocalMult_TFS, pc));
    pc->ops->apply = PCApply_TFS_XYT;
  }

  PetscCall(PetscFree(localtoglobal));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCSetFromOptions_TFS(PC pc, PetscOptionItems *PetscOptionsObject)
{
  PetscFunctionBegin;
  PetscFunctionReturn(PETSC_SUCCESS);
}
static PetscErrorCode PCView_TFS(PC pc, PetscViewer viewer)
{
  PetscFunctionBegin;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*MC
     PCTFS - A parallel direct solver intended for problems with very few unknowns (like the
         coarse grid in multigrid). Performs a Cholesky or LU factorization of a matrix defined by
         its local matrix-vector product.

   Level: beginner

   Notes:
    Only implemented for the `MATMPIAIJ` matrices

    Only works on a solver object that lives on all of `PETSC_COMM_WORLD`!

    Only works for real numbers (is not built if `PetscScalar` is complex)

   Implemented by  Henry M. Tufo III and Paul Fischer originally for Nek5000 and called XXT or XYT

.seealso: [](ch_ksp), `PCCreate()`, `PCSetType()`, `PCType`, `PC`
M*/
PETSC_EXTERN PetscErrorCode PCCreate_TFS(PC pc)
{
  PC_TFS     *tfs;
  PetscMPIInt cmp;

  PetscFunctionBegin;
  PetscCallMPI(MPI_Comm_compare(PETSC_COMM_WORLD, PetscObjectComm((PetscObject)pc), &cmp));
  PetscCheck(cmp == MPI_IDENT || cmp == MPI_CONGRUENT, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "TFS only works with PETSC_COMM_WORLD objects");
  PetscCall(PetscNew(&tfs));

  tfs->xxt = NULL;
  tfs->xyt = NULL;
  tfs->b   = NULL;
  tfs->xd  = NULL;
  tfs->xo  = NULL;
  tfs->nd  = 0;

  pc->ops->apply               = NULL;
  pc->ops->applytranspose      = NULL;
  pc->ops->setup               = PCSetUp_TFS;
  pc->ops->destroy             = PCDestroy_TFS;
  pc->ops->setfromoptions      = PCSetFromOptions_TFS;
  pc->ops->view                = PCView_TFS;
  pc->ops->applyrichardson     = NULL;
  pc->ops->applysymmetricleft  = NULL;
  pc->ops->applysymmetricright = NULL;
  pc->data                     = (void *)tfs;
  PetscFunctionReturn(PETSC_SUCCESS);
}