xref: /petsc/src/ksp/pc/impls/redistribute/redistribute.c (revision d71ae5a4db6382e7f06317b8d368875286fe9008)

/*
  This file defines a "solve the problem redistributely on each subgroup of processor" preconditioner.
*/
#include <petsc/private/pcimpl.h> /*I "petscksp.h" I*/
#include <petscksp.h>

typedef struct {
  KSP          ksp;
  Vec          x, b;
  VecScatter   scatter;
  IS           is;
  PetscInt     dcnt, *drows; /* these are the local rows that have only diagonal entry */
  PetscScalar *diag;
  Vec          work;
} PC_Redistribute;

static PetscErrorCode PCView_Redistribute(PC pc, PetscViewer viewer)
{
  PC_Redistribute *red = (PC_Redistribute *)pc->data;
  PetscBool        iascii, isstring;
  PetscInt         ncnt, N;

  PetscFunctionBegin;
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring));
  if (iascii) {
    PetscCall(MPIU_Allreduce(&red->dcnt, &ncnt, 1, MPIU_INT, MPI_SUM, PetscObjectComm((PetscObject)pc)));
    PetscCall(MatGetSize(pc->pmat, &N, NULL));
    PetscCall(PetscViewerASCIIPrintf(viewer, "    Number rows eliminated %" PetscInt_FMT " Percentage rows eliminated %g\n", ncnt, (double)(100.0 * ((PetscReal)ncnt) / ((PetscReal)N))));
    PetscCall(PetscViewerASCIIPrintf(viewer, "  Redistribute preconditioner: \n"));
    PetscCall(KSPView(red->ksp, viewer));
  } else if (isstring) {
    PetscCall(PetscViewerStringSPrintf(viewer, " Redistribute preconditioner"));
    PetscCall(KSPView(red->ksp, viewer));
  }
  PetscFunctionReturn(0);
}

static PetscErrorCode PCSetUp_Redistribute(PC pc)
{
  PC_Redistribute         *red = (PC_Redistribute *)pc->data;
  MPI_Comm                 comm;
  PetscInt                 rstart, rend, i, nz, cnt, *rows, ncnt, dcnt, *drows;
  PetscLayout              map, nmap;
  PetscMPIInt              size, tag, n;
  PETSC_UNUSED PetscMPIInt imdex;
  PetscInt                *source = NULL;
  PetscMPIInt             *sizes  = NULL, nrecvs;
  PetscInt                 j, nsends;
  PetscInt                *owner = NULL, *starts = NULL, count, slen;
  PetscInt                *rvalues, *svalues, recvtotal;
  PetscMPIInt             *onodes1, *olengths1;
  MPI_Request             *send_waits = NULL, *recv_waits = NULL;
  MPI_Status               recv_status, *send_status;
  Vec                      tvec, diag;
  Mat                      tmat;
  const PetscScalar       *d, *values;
  const PetscInt          *cols;

  PetscFunctionBegin;
  if (pc->setupcalled) {
    PetscCall(KSPGetOperators(red->ksp, NULL, &tmat));
    PetscCall(MatCreateSubMatrix(pc->pmat, red->is, red->is, MAT_REUSE_MATRIX, &tmat));
    PetscCall(KSPSetOperators(red->ksp, tmat, tmat));
  } else {
    PetscInt NN;

    PetscCall(PetscObjectGetComm((PetscObject)pc, &comm));
    PetscCallMPI(MPI_Comm_size(comm, &size));
    PetscCall(PetscObjectGetNewTag((PetscObject)pc, &tag));

    /* count non-diagonal rows on process */
    PetscCall(MatGetOwnershipRange(pc->mat, &rstart, &rend));
    cnt = 0;
    for (i = rstart; i < rend; i++) {
      PetscCall(MatGetRow(pc->mat, i, &nz, &cols, &values));
      for (PetscInt j = 0; j < nz; j++) {
        if (values[j] != 0 && cols[j] != i) {
          cnt++;
          break;
        }
      }
      PetscCall(MatRestoreRow(pc->mat, i, &nz, &cols, &values));
    }
    PetscCall(PetscMalloc1(cnt, &rows));
    PetscCall(PetscMalloc1(rend - rstart - cnt, &drows));

    /* list non-diagonal rows on process */
    cnt  = 0;
    dcnt = 0;
    for (i = rstart; i < rend; i++) {
      PetscBool diagonly = PETSC_TRUE;
      PetscCall(MatGetRow(pc->mat, i, &nz, &cols, &values));
      for (PetscInt j = 0; j < nz; j++) {
        if (values[j] != 0 && cols[j] != i) {
          diagonly = PETSC_FALSE;
          break;
        }
      }
      if (!diagonly) rows[cnt++] = i;
      else drows[dcnt++] = i - rstart;
      PetscCall(MatRestoreRow(pc->mat, i, &nz, &cols, &values));
    }

    /* create PetscLayout for non-diagonal rows on each process */
    PetscCall(PetscLayoutCreate(comm, &map));
    PetscCall(PetscLayoutSetLocalSize(map, cnt));
    PetscCall(PetscLayoutSetBlockSize(map, 1));
    PetscCall(PetscLayoutSetUp(map));
    rstart = map->rstart;
    rend   = map->rend;

    /* create PetscLayout for load-balanced non-diagonal rows on each process */
    PetscCall(PetscLayoutCreate(comm, &nmap));
    PetscCall(MPIU_Allreduce(&cnt, &ncnt, 1, MPIU_INT, MPI_SUM, comm));
    PetscCall(PetscLayoutSetSize(nmap, ncnt));
    PetscCall(PetscLayoutSetBlockSize(nmap, 1));
    PetscCall(PetscLayoutSetUp(nmap));

    PetscCall(MatGetSize(pc->pmat, &NN, NULL));
    PetscCall(PetscInfo(pc, "Number of diagonal rows eliminated %" PetscInt_FMT ", percentage eliminated %g\n", NN - ncnt, (double)(((PetscReal)(NN - ncnt)) / ((PetscReal)(NN)))));

    if (size > 1) {
      /* the following block of code assumes MPI can send messages to self, which is not supported for MPI-uni hence we need to handle the size 1 case as a special case */
      /*
       this code is taken from VecScatterCreate_PtoS()
       Determines what rows need to be moved where to
       load balance the non-diagonal rows
       */
      /*  count number of contributors to each processor */
      PetscCall(PetscMalloc2(size, &sizes, cnt, &owner));
      PetscCall(PetscArrayzero(sizes, size));
      j      = 0;
      nsends = 0;
      for (i = rstart; i < rend; i++) {
        if (i < nmap->range[j]) j = 0;
        for (; j < size; j++) {
          if (i < nmap->range[j + 1]) {
            if (!sizes[j]++) nsends++;
            owner[i - rstart] = j;
            break;
          }
        }
      }
      /* inform other processors of number of messages and max length*/
      PetscCall(PetscGatherNumberOfMessages(comm, NULL, sizes, &nrecvs));
      PetscCall(PetscGatherMessageLengths(comm, nsends, nrecvs, sizes, &onodes1, &olengths1));
      PetscCall(PetscSortMPIIntWithArray(nrecvs, onodes1, olengths1));
      recvtotal = 0;
      for (i = 0; i < nrecvs; i++) recvtotal += olengths1[i];

      /* post receives:  rvalues - rows I will own; count - nu */
      PetscCall(PetscMalloc3(recvtotal, &rvalues, nrecvs, &source, nrecvs, &recv_waits));
      count = 0;
      for (i = 0; i < nrecvs; i++) {
        PetscCallMPI(MPI_Irecv((rvalues + count), olengths1[i], MPIU_INT, onodes1[i], tag, comm, recv_waits + i));
        count += olengths1[i];
      }

      /* do sends:
       1) starts[i] gives the starting index in svalues for stuff going to
       the ith processor
       */
      PetscCall(PetscMalloc3(cnt, &svalues, nsends, &send_waits, size, &starts));
      starts[0] = 0;
      for (i = 1; i < size; i++) starts[i] = starts[i - 1] + sizes[i - 1];
      for (i = 0; i < cnt; i++) svalues[starts[owner[i]]++] = rows[i];
      for (i = 0; i < cnt; i++) rows[i] = rows[i] - rstart;
      red->drows = drows;
      red->dcnt  = dcnt;
      PetscCall(PetscFree(rows));

      starts[0] = 0;
      for (i = 1; i < size; i++) starts[i] = starts[i - 1] + sizes[i - 1];
      count = 0;
      for (i = 0; i < size; i++) {
        if (sizes[i]) PetscCallMPI(MPI_Isend(svalues + starts[i], sizes[i], MPIU_INT, i, tag, comm, send_waits + count++));
      }

      /*  wait on receives */
      count = nrecvs;
      slen  = 0;
      while (count) {
        PetscCallMPI(MPI_Waitany(nrecvs, recv_waits, &imdex, &recv_status));
        /* unpack receives into our local space */
        PetscCallMPI(MPI_Get_count(&recv_status, MPIU_INT, &n));
        slen += n;
        count--;
      }
      PetscCheck(slen == recvtotal, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Total message lengths %" PetscInt_FMT " not expected %" PetscInt_FMT, slen, recvtotal);
      PetscCall(ISCreateGeneral(comm, slen, rvalues, PETSC_COPY_VALUES, &red->is));

      /* free all work space */
      PetscCall(PetscFree(olengths1));
      PetscCall(PetscFree(onodes1));
      PetscCall(PetscFree3(rvalues, source, recv_waits));
      PetscCall(PetscFree2(sizes, owner));
      if (nsends) { /* wait on sends */
        PetscCall(PetscMalloc1(nsends, &send_status));
        PetscCallMPI(MPI_Waitall(nsends, send_waits, send_status));
        PetscCall(PetscFree(send_status));
      }
      PetscCall(PetscFree3(svalues, send_waits, starts));
    } else {
      PetscCall(ISCreateGeneral(comm, cnt, rows, PETSC_OWN_POINTER, &red->is));
      red->drows = drows;
      red->dcnt  = dcnt;
      slen       = cnt;
    }
    PetscCall(PetscLayoutDestroy(&map));
    PetscCall(PetscLayoutDestroy(&nmap));

    PetscCall(VecCreateMPI(comm, slen, PETSC_DETERMINE, &red->b));
    PetscCall(VecDuplicate(red->b, &red->x));
    PetscCall(MatCreateVecs(pc->pmat, &tvec, NULL));
    PetscCall(VecScatterCreate(tvec, red->is, red->b, NULL, &red->scatter));
    PetscCall(VecDestroy(&tvec));
    PetscCall(MatCreateSubMatrix(pc->pmat, red->is, red->is, MAT_INITIAL_MATRIX, &tmat));
    PetscCall(KSPSetOperators(red->ksp, tmat, tmat));
    PetscCall(MatDestroy(&tmat));
  }

  /* get diagonal portion of matrix */
  PetscCall(PetscFree(red->diag));
  PetscCall(PetscMalloc1(red->dcnt, &red->diag));
  PetscCall(MatCreateVecs(pc->pmat, &diag, NULL));
  PetscCall(MatGetDiagonal(pc->pmat, diag));
  PetscCall(VecGetArrayRead(diag, &d));
  for (i = 0; i < red->dcnt; i++) red->diag[i] = 1.0 / d[red->drows[i]];
  PetscCall(VecRestoreArrayRead(diag, &d));
  PetscCall(VecDestroy(&diag));
  PetscCall(KSPSetUp(red->ksp));
  PetscFunctionReturn(0);
}

static PetscErrorCode PCApply_Redistribute(PC pc, Vec b, Vec x)
{
  PC_Redistribute   *red   = (PC_Redistribute *)pc->data;
  PetscInt           dcnt  = red->dcnt, i;
  const PetscInt    *drows = red->drows;
  PetscScalar       *xwork;
  const PetscScalar *bwork, *diag = red->diag;

  PetscFunctionBegin;
  if (!red->work) PetscCall(VecDuplicate(b, &red->work));
  /* compute the rows of solution that have diagonal entries only */
  PetscCall(VecSet(x, 0.0)); /* x = diag(A)^{-1} b */
  PetscCall(VecGetArray(x, &xwork));
  PetscCall(VecGetArrayRead(b, &bwork));
  for (i = 0; i < dcnt; i++) xwork[drows[i]] = diag[i] * bwork[drows[i]];
  PetscCall(PetscLogFlops(dcnt));
  PetscCall(VecRestoreArray(red->work, &xwork));
  PetscCall(VecRestoreArrayRead(b, &bwork));
  /* update the right hand side for the reduced system with diagonal rows (and corresponding columns) removed */
  PetscCall(MatMult(pc->pmat, x, red->work));
  PetscCall(VecAYPX(red->work, -1.0, b)); /* red->work = b - A x */

  PetscCall(VecScatterBegin(red->scatter, red->work, red->b, INSERT_VALUES, SCATTER_FORWARD));
  PetscCall(VecScatterEnd(red->scatter, red->work, red->b, INSERT_VALUES, SCATTER_FORWARD));
  PetscCall(KSPSolve(red->ksp, red->b, red->x));
  PetscCall(KSPCheckSolve(red->ksp, pc, red->x));
  PetscCall(VecScatterBegin(red->scatter, red->x, x, INSERT_VALUES, SCATTER_REVERSE));
  PetscCall(VecScatterEnd(red->scatter, red->x, x, INSERT_VALUES, SCATTER_REVERSE));
  PetscFunctionReturn(0);
}

static PetscErrorCode PCDestroy_Redistribute(PC pc)
{
  PC_Redistribute *red = (PC_Redistribute *)pc->data;

  PetscFunctionBegin;
  PetscCall(VecScatterDestroy(&red->scatter));
  PetscCall(ISDestroy(&red->is));
  PetscCall(VecDestroy(&red->b));
  PetscCall(VecDestroy(&red->x));
  PetscCall(KSPDestroy(&red->ksp));
  PetscCall(VecDestroy(&red->work));
  PetscCall(PetscFree(red->drows));
  PetscCall(PetscFree(red->diag));
  PetscCall(PetscFree(pc->data));
  PetscFunctionReturn(0);
}

static PetscErrorCode PCSetFromOptions_Redistribute(PC pc, PetscOptionItems *PetscOptionsObject)
{
  PC_Redistribute *red = (PC_Redistribute *)pc->data;

  PetscFunctionBegin;
  PetscCall(KSPSetFromOptions(red->ksp));
  PetscFunctionReturn(0);
}

/*@
   PCRedistributeGetKSP - Gets the `KSP` created by the `PCREDISTRIBUTE`

   Not Collective

   Input Parameter:
.  pc - the preconditioner context

   Output Parameter:
.  innerksp - the inner `KSP`

   Level: advanced

.seealso: `KSP`, `PCREDISTRIBUTE`
@*/
PetscErrorCode PCRedistributeGetKSP(PC pc, KSP *innerksp)
{
  PC_Redistribute *red = (PC_Redistribute *)pc->data;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscValidPointer(innerksp, 2);
  *innerksp = red->ksp;
  PetscFunctionReturn(0);
}

/*MC
     PCREDISTRIBUTE - Redistributes a matrix for load balancing, removing the rows (and the corresponding columns) that only have a diagonal entry and then
     applies a `KSP` to that new smaller matrix

     Notes:
     Options for the redistribute `KSP` and `PC` with the options database prefix -redistribute_

     Usually run this with -ksp_type preonly

     If you have used `MatZeroRows()` to eliminate (for example, Dirichlet) boundary conditions for a symmetric problem then you can use, for example, -ksp_type preonly
     -pc_type redistribute -redistribute_ksp_type cg -redistribute_pc_type bjacobi -redistribute_sub_pc_type icc to take advantage of the symmetry.

     This does NOT call a partitioner to reorder rows to lower communication; the ordering of the rows in the original matrix and redistributed matrix is the same.

     Developer Note:
     Should add an option to this preconditioner to use a partitioner to redistribute the rows to lower communication.

   Level: intermediate

.seealso: `PCCreate()`, `PCSetType()`, `PCType`, `PCRedistributeGetKSP()`, `MatZeroRows()`
M*/

PETSC_EXTERN PetscErrorCode PCCreate_Redistribute(PC pc)
{
  PC_Redistribute *red;
  const char      *prefix;

  PetscFunctionBegin;
  PetscCall(PetscNew(&red));
  pc->data = (void *)red;

  pc->ops->apply          = PCApply_Redistribute;
  pc->ops->applytranspose = NULL;
  pc->ops->setup          = PCSetUp_Redistribute;
  pc->ops->destroy        = PCDestroy_Redistribute;
  pc->ops->setfromoptions = PCSetFromOptions_Redistribute;
  pc->ops->view           = PCView_Redistribute;

  PetscCall(KSPCreate(PetscObjectComm((PetscObject)pc), &red->ksp));
  PetscCall(KSPSetErrorIfNotConverged(red->ksp, pc->erroriffailure));
  PetscCall(PetscObjectIncrementTabLevel((PetscObject)red->ksp, (PetscObject)pc, 1));
  PetscCall(PCGetOptionsPrefix(pc, &prefix));
  PetscCall(KSPSetOptionsPrefix(red->ksp, prefix));
  PetscCall(KSPAppendOptionsPrefix(red->ksp, "redistribute_"));
  PetscFunctionReturn(0);
}