xref: /petsc/src/ksp/pc/impls/hypre/hypre.c (revision 2692d6ee476c3ad7c6573405ba3f5a5bb0473457)

#define PETSCKSP_DLL

/*
   Provides an interface to the LLNL package hypre
*/

/* Must use hypre 2.0.0 or more recent. */

#include "private/pcimpl.h"          /*I "petscpc.h" I*/
EXTERN_C_BEGIN
#include "HYPRE.h"
#include "HYPRE_parcsr_ls.h"
#include "_hypre_parcsr_mv.h"
#include "_hypre_IJ_mv.h"
EXTERN_C_END

EXTERN PetscErrorCode MatHYPRE_IJMatrixCreate(Mat,HYPRE_IJMatrix*);
EXTERN PetscErrorCode MatHYPRE_IJMatrixCopy(Mat,HYPRE_IJMatrix);
EXTERN PetscErrorCode MatHYPRE_IJMatrixFastCopy(Mat,HYPRE_IJMatrix);
EXTERN PetscErrorCode VecHYPRE_IJVectorCreate(Vec,HYPRE_IJVector*);

/*
   Private context (data structure) for the  preconditioner.
*/
typedef struct {
  HYPRE_Solver       hsolver;
  HYPRE_IJMatrix     ij;
  HYPRE_IJVector     b,x;

  PetscErrorCode     (*destroy)(HYPRE_Solver);
  PetscErrorCode     (*solve)(HYPRE_Solver,HYPRE_ParCSRMatrix,HYPRE_ParVector,HYPRE_ParVector);
  PetscErrorCode     (*setup)(HYPRE_Solver,HYPRE_ParCSRMatrix,HYPRE_ParVector,HYPRE_ParVector);

  MPI_Comm           comm_hypre;
  char              *hypre_type;

  /* options for Pilut and BoomerAMG*/
  int                maxiter;
  double             tol;

  /* options for Pilut */
  int                factorrowsize;

  /* options for ParaSails */
  int                nlevels;
  double             threshhold;
  double             filter;
  int                sym;
  double             loadbal;
  int                logging;
  int                ruse;
  int                symt;

  /* options for Euclid */
  PetscTruth         bjilu;
  int                levels;

  /* options for Euclid and BoomerAMG */
  PetscTruth         printstatistics;

  /* options for BoomerAMG */
  int                cycletype;
  int                maxlevels;
  double             strongthreshold;
  double             maxrowsum;
  int                gridsweeps[3];
  int                coarsentype;
  int                measuretype;
  int                relaxtype[3];
  double             relaxweight;
  double             outerrelaxweight;
  int                relaxorder;
  double             truncfactor;
  PetscTruth         applyrichardson;
  int                pmax;
  int                interptype;
  int                agg_nl;
  int                agg_num_paths;
  int                nodal_coarsen;
  PetscTruth         nodal_relax;
  int                nodal_relax_levels;
} PC_HYPRE;


#undef __FUNCT__
#define __FUNCT__ "PCSetUp_HYPRE"
static PetscErrorCode PCSetUp_HYPRE(PC pc)
{
  PC_HYPRE           *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode     ierr;
  HYPRE_ParCSRMatrix hmat;
  HYPRE_ParVector    bv,xv;
  PetscInt           bs;
  int                hierr;

  PetscFunctionBegin;
  if (!jac->hypre_type) {
    ierr = PCHYPRESetType(pc,"boomeramg");CHKERRQ(ierr);
  }

  if (pc->setupcalled) {
    /* always destroy the old matrix and create a new memory;
       hope this does not churn the memory too much. The problem
       is I do not know if it is possible to put the matrix back to
       its initial state so that we can directly copy the values
       the second time through. */
    ierr = HYPRE_IJMatrixDestroy(jac->ij);CHKERRQ(ierr);
    jac->ij = 0;
  }

  if (!jac->ij) { /* create the matrix the first time through */
    ierr = MatHYPRE_IJMatrixCreate(pc->pmat,&jac->ij);CHKERRQ(ierr);
  }
  if (!jac->b) { /* create the vectors the first time through */
    Vec x,b;
    ierr = MatGetVecs(pc->pmat,&x,&b);CHKERRQ(ierr);
    ierr = VecHYPRE_IJVectorCreate(x,&jac->x);CHKERRQ(ierr);
    ierr = VecHYPRE_IJVectorCreate(b,&jac->b);CHKERRQ(ierr);
    ierr = VecDestroy(x);CHKERRQ(ierr);
    ierr = VecDestroy(b);CHKERRQ(ierr);
  }

  /* special case for BoomerAMG */
  if (jac->setup == HYPRE_BoomerAMGSetup) {
    ierr = MatGetBlockSize(pc->pmat,&bs);CHKERRQ(ierr);
    if (bs > 1) {
      ierr = HYPRE_BoomerAMGSetNumFunctions(jac->hsolver,bs);CHKERRQ(ierr);
    }
  };
  ierr = MatHYPRE_IJMatrixCopy(pc->pmat,jac->ij);CHKERRQ(ierr);
  ierr = HYPRE_IJMatrixGetObject(jac->ij,(void**)&hmat);CHKERRQ(ierr);
  ierr = HYPRE_IJVectorGetObject(jac->b,(void**)&bv);CHKERRQ(ierr);
  ierr = HYPRE_IJVectorGetObject(jac->x,(void**)&xv);CHKERRQ(ierr);
  hierr = (*jac->setup)(jac->hsolver,hmat,bv,xv);
  if (hierr) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error in HYPRE setup, error code %d",hierr);
  PetscFunctionReturn(0);
}

/*
    Replaces the address where the HYPRE vector points to its data with the address of
  PETSc's data. Saves the old address so it can be reset when we are finished with it.
  Allows use to get the data into a HYPRE vector without the cost of memcopies
*/
#define HYPREReplacePointer(b,newvalue,savedvalue) {\
   hypre_ParVector *par_vector   = (hypre_ParVector *)hypre_IJVectorObject(((hypre_IJVector*)b));\
   hypre_Vector    *local_vector = hypre_ParVectorLocalVector(par_vector);\
   savedvalue         = local_vector->data;\
   local_vector->data = newvalue;}

#undef __FUNCT__
#define __FUNCT__ "PCApply_HYPRE"
static PetscErrorCode PCApply_HYPRE(PC pc,Vec b,Vec x)
{
  PC_HYPRE           *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode     ierr;
  HYPRE_ParCSRMatrix hmat;
  PetscScalar        *bv,*xv;
  HYPRE_ParVector    jbv,jxv;
  PetscScalar        *sbv,*sxv;
  int                hierr;

  PetscFunctionBegin;
  if (!jac->applyrichardson) {ierr = VecSet(x,0.0);CHKERRQ(ierr);}
  ierr = VecGetArray(b,&bv);CHKERRQ(ierr);
  ierr = VecGetArray(x,&xv);CHKERRQ(ierr);
  HYPREReplacePointer(jac->b,bv,sbv);
  HYPREReplacePointer(jac->x,xv,sxv);

  ierr = HYPRE_IJMatrixGetObject(jac->ij,(void**)&hmat);CHKERRQ(ierr);
  ierr = HYPRE_IJVectorGetObject(jac->b,(void**)&jbv);CHKERRQ(ierr);
  ierr = HYPRE_IJVectorGetObject(jac->x,(void**)&jxv);CHKERRQ(ierr);
  hierr = (*jac->solve)(jac->hsolver,hmat,jbv,jxv);

  /*if (hierr && (hierr != HYPRE_ERROR_CONV || jac->solve != HYPRE_BoomerAMGSolve))SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error in HYPRE solver, error code %d",hierr);
   */
 /* error code of HYPRE_ERROR_CONV means convergence not achieved - if
    the tolerance is set to 0.0 (the default), a convergence error will
    not occur (so we may not want to overide the conv. error here?*/
 if (hierr && hierr != HYPRE_ERROR_CONV) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error in HYPRE solver, error code %d",hierr);
 if (hierr) hypre__global_error = 0;


  HYPREReplacePointer(jac->b,sbv,bv);
  HYPREReplacePointer(jac->x,sxv,xv);
  ierr = VecRestoreArray(x,&xv);CHKERRQ(ierr);
  ierr = VecRestoreArray(b,&bv);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCDestroy_HYPRE"
static PetscErrorCode PCDestroy_HYPRE(PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  if (jac->ij) { ierr = HYPRE_IJMatrixDestroy(jac->ij);CHKERRQ(ierr); }
  if (jac->b)  { ierr = HYPRE_IJVectorDestroy(jac->b);CHKERRQ(ierr);  }
  if (jac->x)  { ierr = HYPRE_IJVectorDestroy(jac->x);CHKERRQ(ierr);  }
  if (jac->destroy) { ierr = (*jac->destroy)(jac->hsolver);CHKERRQ(ierr); }
  ierr = PetscFree(jac->hypre_type);CHKERRQ(ierr);
  if (jac->comm_hypre != MPI_COMM_NULL) { ierr = MPI_Comm_free(&(jac->comm_hypre));CHKERRQ(ierr);}
  ierr = PetscFree(jac);CHKERRQ(ierr);

  ierr = PetscObjectChangeTypeName((PetscObject)pc,0);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCHYPRESetType_C","",PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCHYPREGetType_C","",PETSC_NULL);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/* --------------------------------------------------------------------------------------------*/
#undef __FUNCT__
#define __FUNCT__ "PCSetFromOptions_HYPRE_Pilut"
static PetscErrorCode PCSetFromOptions_HYPRE_Pilut(PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscTruth     flag;

  PetscFunctionBegin;
  ierr = PetscOptionsHead("HYPRE Pilut Options");CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_pilut_maxiter","Number of iterations","None",jac->maxiter,&jac->maxiter,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = HYPRE_ParCSRPilutSetMaxIter(jac->hsolver,jac->maxiter);CHKERRQ(ierr);
  }
  ierr = PetscOptionsReal("-pc_hypre_pilut_tol","Drop tolerance","None",jac->tol,&jac->tol,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = HYPRE_ParCSRPilutSetDropTolerance(jac->hsolver,jac->tol);CHKERRQ(ierr);
  }
  ierr = PetscOptionsInt("-pc_hypre_pilut_factorrowsize","FactorRowSize","None",jac->factorrowsize,&jac->factorrowsize,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = HYPRE_ParCSRPilutSetFactorRowSize(jac->hsolver,jac->factorrowsize);CHKERRQ(ierr);
  }
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCView_HYPRE_Pilut"
static PetscErrorCode PCView_HYPRE_Pilut(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscTruth     iascii;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Pilut preconditioning\n");CHKERRQ(ierr);
    if (jac->maxiter != PETSC_DEFAULT) {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Pilut: maximum number of iterations %d\n",jac->maxiter);CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Pilut: default maximum number of iterations \n");CHKERRQ(ierr);
    }
    if (jac->tol != PETSC_DEFAULT) {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Pilut: drop tolerance %G\n",jac->tol);CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Pilut: default drop tolerance \n");CHKERRQ(ierr);
    }
    if (jac->factorrowsize != PETSC_DEFAULT) {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Pilut: factor row size %d\n",jac->factorrowsize);CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Pilut: default factor row size \n");CHKERRQ(ierr);
    }
  }
  PetscFunctionReturn(0);
}

/* --------------------------------------------------------------------------------------------*/
#undef __FUNCT__
#define __FUNCT__ "PCSetFromOptions_HYPRE_Euclid"
static PetscErrorCode PCSetFromOptions_HYPRE_Euclid(PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscTruth     flag;
  char           *args[8],levels[16];
  PetscInt       cnt = 0;

  PetscFunctionBegin;
  ierr = PetscOptionsHead("HYPRE Euclid Options");CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_euclid_levels","Number of levels of fill ILU(k)","None",jac->levels,&jac->levels,&flag);CHKERRQ(ierr);
  if (flag) {
    if (jac->levels < 0) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Number of levels %d must be nonegative",jac->levels);
    sprintf(levels,"%d",jac->levels);
    args[cnt++] = (char*)"-level"; args[cnt++] = levels;
  }
  ierr = PetscOptionsTruth("-pc_hypre_euclid_bj","Use block Jacobi ILU(k)","None",jac->bjilu,&jac->bjilu,PETSC_NULL);CHKERRQ(ierr);
  if (jac->bjilu) {
    args[cnt++] =(char*) "-bj"; args[cnt++] = (char*)"1";
  }

  ierr = PetscOptionsTruth("-pc_hypre_euclid_print_statistics","Print statistics","None",jac->printstatistics,&jac->printstatistics,PETSC_NULL);CHKERRQ(ierr);
  if (jac->printstatistics) {
    args[cnt++] = (char*)"-eu_stats"; args[cnt++] = (char*)"1";
    args[cnt++] = (char*)"-eu_mem"; args[cnt++] = (char*)"1";
  }
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  if (cnt) {
    ierr = HYPRE_EuclidSetParams(jac->hsolver,cnt,args);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCView_HYPRE_Euclid"
static PetscErrorCode PCView_HYPRE_Euclid(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscTruth     iascii;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Euclid preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Euclid: number of levels %d\n",jac->levels);CHKERRQ(ierr);
    if (jac->bjilu) {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Euclid: Using block Jacobi ILU instead of parallel ILU\n");CHKERRQ(ierr);
    }
  }
  PetscFunctionReturn(0);
}

/* --------------------------------------------------------------------------------------------*/

#undef __FUNCT__
#define __FUNCT__ "PCApplyTranspose_HYPRE_BoomerAMG"
static PetscErrorCode PCApplyTranspose_HYPRE_BoomerAMG(PC pc,Vec b,Vec x)
{
  PC_HYPRE           *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode     ierr;
  HYPRE_ParCSRMatrix hmat;
  PetscScalar        *bv,*xv;
  HYPRE_ParVector    jbv,jxv;
  PetscScalar        *sbv,*sxv;
  int                hierr;

  PetscFunctionBegin;
  ierr = VecSet(x,0.0);CHKERRQ(ierr);
  ierr = VecGetArray(b,&bv);CHKERRQ(ierr);
  ierr = VecGetArray(x,&xv);CHKERRQ(ierr);
  HYPREReplacePointer(jac->b,bv,sbv);
  HYPREReplacePointer(jac->x,xv,sxv);

  ierr = HYPRE_IJMatrixGetObject(jac->ij,(void**)&hmat);CHKERRQ(ierr);
  ierr = HYPRE_IJVectorGetObject(jac->b,(void**)&jbv);CHKERRQ(ierr);
  ierr = HYPRE_IJVectorGetObject(jac->x,(void**)&jxv);CHKERRQ(ierr);

  hierr = HYPRE_BoomerAMGSolveT(jac->hsolver,hmat,jbv,jxv);
  /* error code of 1 in BoomerAMG merely means convergence not achieved */
  if (hierr && (hierr != 1)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error in HYPRE solver, error code %d",hierr);
  if (hierr) hypre__global_error = 0;

  HYPREReplacePointer(jac->b,sbv,bv);
  HYPREReplacePointer(jac->x,sxv,xv);
  ierr = VecRestoreArray(x,&xv);CHKERRQ(ierr);
  ierr = VecRestoreArray(b,&bv);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static const char *HYPREBoomerAMGCycleType[]   = {"","V","W"};
static const char *HYPREBoomerAMGCoarsenType[] = {"CLJP","Ruge-Stueben","","modifiedRuge-Stueben","","","Falgout", "", "PMIS", "", "HMIS"};
static const char *HYPREBoomerAMGMeasureType[] = {"local","global"};
static const char *HYPREBoomerAMGRelaxType[]   = {"Jacobi","sequential-Gauss-Seidel","","SOR/Jacobi","backward-SOR/Jacobi","","symmetric-SOR/Jacobi",
                                                  "","","Gaussian-elimination"};
static const char *HYPREBoomerAMGInterpType[]  = {"classical", "", "", "direct", "multipass", "multipass-wts", "ext+i",
                                                  "ext+i-cc", "standard", "standard-wts", "", "", "FF", "FF1"};
#undef __FUNCT__
#define __FUNCT__ "PCSetFromOptions_HYPRE_BoomerAMG"
static PetscErrorCode PCSetFromOptions_HYPRE_BoomerAMG(PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  int            n,indx;
  PetscTruth     flg, tmp_truth;
  double         tmpdbl, twodbl[2];

  PetscFunctionBegin;
  ierr = PetscOptionsHead("HYPRE BoomerAMG Options");CHKERRQ(ierr);
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_cycle_type","Cycle type","None",HYPREBoomerAMGCycleType,2,HYPREBoomerAMGCycleType[jac->cycletype],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->cycletype = indx;
    ierr = HYPRE_BoomerAMGSetCycleType(jac->hsolver,jac->cycletype);CHKERRQ(ierr);
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_max_levels","Number of levels (of grids) allowed","None",jac->maxlevels,&jac->maxlevels,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->maxlevels < 2) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Number of levels %d must be at least two",jac->maxlevels);
    ierr = HYPRE_BoomerAMGSetMaxLevels(jac->hsolver,jac->maxlevels);CHKERRQ(ierr);
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_max_iter","Maximum iterations used PER hypre call","None",jac->maxiter,&jac->maxiter,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->maxiter < 1) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Number of iterations %d must be at least one",jac->maxiter);
    ierr = HYPRE_BoomerAMGSetMaxIter(jac->hsolver,jac->maxiter);CHKERRQ(ierr);
  }
  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_tol","Convergence tolerance PER hypre call (0.0 = use a fixed number of iterations)","None",jac->tol,&jac->tol,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->tol < 0.0) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Tolerance %G must be greater than or equal to zero",jac->tol);
    ierr = HYPRE_BoomerAMGSetTol(jac->hsolver,jac->tol);CHKERRQ(ierr);
  }

  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_truncfactor","Truncation factor for interpolation (0=no truncation)","None",jac->truncfactor,&jac->truncfactor,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->truncfactor < 0.0) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Truncation factor %G must be great than or equal zero",jac->truncfactor);
    ierr = HYPRE_BoomerAMGSetTruncFactor(jac->hsolver,jac->truncfactor);CHKERRQ(ierr);
  }

 ierr = PetscOptionsInt("-pc_hypre_boomeramg_P_max","Max elements per row for interpolation operator ( 0=unlimited )","None",jac->pmax,&jac->pmax,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->pmax < 0) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"P_max %G must be greater than or equal to zero",jac->pmax);
    ierr = HYPRE_BoomerAMGSetPMaxElmts(jac->hsolver,jac->pmax);CHKERRQ(ierr);
  }

 ierr = PetscOptionsInt("-pc_hypre_boomeramg_agg_nl","Number of levels of aggressive coarsening","None",jac->agg_nl,&jac->agg_nl,&flg);CHKERRQ(ierr);
  if (flg) {
     if (jac->agg_nl < 0) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Number of levels %G must be greater than or equal to zero",jac->agg_nl);

     ierr = HYPRE_BoomerAMGSetAggNumLevels(jac->hsolver,jac->agg_nl);CHKERRQ(ierr);
  }


 ierr = PetscOptionsInt("-pc_hypre_boomeramg_agg_num_paths","Number of paths for aggressive coarsening","None",jac->agg_num_paths,&jac->agg_num_paths,&flg);CHKERRQ(ierr);
  if (flg) {
     if (jac->agg_num_paths < 1) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Number of paths %G must be greater than or equal to 1",jac->agg_num_paths);

     ierr = HYPRE_BoomerAMGSetNumPaths(jac->hsolver,jac->agg_num_paths);CHKERRQ(ierr);
  }


  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_strong_threshold","Threshold for being strongly connected","None",jac->strongthreshold,&jac->strongthreshold,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->strongthreshold < 0.0) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Strong threshold %G must be great than or equal zero",jac->strongthreshold);
    ierr = HYPRE_BoomerAMGSetStrongThreshold(jac->hsolver,jac->strongthreshold);CHKERRQ(ierr);
  }
  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_max_row_sum","Maximum row sum","None",jac->maxrowsum,&jac->maxrowsum,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->maxrowsum < 0.0) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Maximum row sum %G must be greater than zero",jac->maxrowsum);
    if (jac->maxrowsum > 1.0) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Maximum row sum %G must be less than or equal one",jac->maxrowsum);
    ierr = HYPRE_BoomerAMGSetMaxRowSum(jac->hsolver,jac->maxrowsum);CHKERRQ(ierr);
  }

  /* Grid sweeps */
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_grid_sweeps_all","Number of sweeps for the up and down grid levels","None",jac->gridsweeps[0],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = HYPRE_BoomerAMGSetNumSweeps(jac->hsolver,indx);CHKERRQ(ierr);
    /* modify the jac structure so we can view the updated options with PC_View */
    jac->gridsweeps[0] = indx;
    jac->gridsweeps[1] = indx;
    /*defaults coarse to 1 */
    jac->gridsweeps[2] = 1;
  }

  ierr = PetscOptionsInt("-pc_hypre_boomeramg_grid_sweeps_down","Number of sweeps for the down cycles","None",jac->gridsweeps[0], &indx ,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = HYPRE_BoomerAMGSetCycleNumSweeps(jac->hsolver,indx, 1);CHKERRQ(ierr);
    jac->gridsweeps[0] = indx;
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_grid_sweeps_up","Number of sweeps for the up cycles","None",jac->gridsweeps[1],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = HYPRE_BoomerAMGSetCycleNumSweeps(jac->hsolver,indx, 2);CHKERRQ(ierr);
    jac->gridsweeps[1] = indx;
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_grid_sweeps_coarse","Number of sweeps for the coarse level","None",jac->gridsweeps[2],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = HYPRE_BoomerAMGSetCycleNumSweeps(jac->hsolver,indx, 3);CHKERRQ(ierr);
    jac->gridsweeps[2] = indx;
  }

  /* Relax type */
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_relax_type_all","Relax type for the up and down cycles","None",HYPREBoomerAMGRelaxType,10,HYPREBoomerAMGRelaxType[6],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->relaxtype[0] = jac->relaxtype[1]  = indx;
    ierr = HYPRE_BoomerAMGSetRelaxType(jac->hsolver, indx);CHKERRQ(ierr);
    /* by default, coarse type set to 9 */
    jac->relaxtype[2] = 9;

  }
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_relax_type_down","Relax type for the down cycles","None",HYPREBoomerAMGRelaxType,10,HYPREBoomerAMGRelaxType[6],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->relaxtype[0] = indx;
    ierr = HYPRE_BoomerAMGSetCycleRelaxType(jac->hsolver, indx, 1);CHKERRQ(ierr);
  }
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_relax_type_up","Relax type for the up cycles","None",HYPREBoomerAMGRelaxType,10,HYPREBoomerAMGRelaxType[6],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->relaxtype[1] = indx;
    ierr = HYPRE_BoomerAMGSetCycleRelaxType(jac->hsolver, indx, 2);CHKERRQ(ierr);
  }
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_relax_type_coarse","Relax type on coarse grid","None",HYPREBoomerAMGRelaxType,10,HYPREBoomerAMGRelaxType[9],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->relaxtype[2] = indx;
    ierr = HYPRE_BoomerAMGSetCycleRelaxType(jac->hsolver, indx, 3);CHKERRQ(ierr);
  }

  /* Relaxation Weight */
  ierr = PetscOptionsReal("-pc_hypre_boomeramg_relax_weight_all","Relaxation weight for all levels (0 = hypre estimates, -k = determined with k CG steps)","None",jac->relaxweight, &tmpdbl ,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = HYPRE_BoomerAMGSetRelaxWt(jac->hsolver,tmpdbl);CHKERRQ(ierr);
    jac->relaxweight = tmpdbl;
  }

  n=2;
  twodbl[0] = twodbl[1] = 1.0;
  ierr = PetscOptionsRealArray("-pc_hypre_boomeramg_relax_weight_level","Set the relaxation weight for a particular level (weight,level)","None",twodbl, &n, &flg);CHKERRQ(ierr);
  if (flg) {
    if (n == 2) {
      indx =  (int)PetscAbsReal(twodbl[1]);
      ierr = HYPRE_BoomerAMGSetLevelRelaxWt(jac->hsolver,twodbl[0],indx);CHKERRQ(ierr);
    } else {
      SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Relax weight level: you must provide 2 values separated by a comma (and no space), you provided %d",n);
    }
  }

  /* Outer relaxation Weight */
  ierr = PetscOptionsReal("-pc_hypre_boomeramg_outer_relax_weight_all","Outer relaxation weight for all levels ( -k = determined with k CG steps)","None",jac->outerrelaxweight, &tmpdbl ,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = HYPRE_BoomerAMGSetOuterWt( jac->hsolver, tmpdbl);CHKERRQ(ierr);
    jac->outerrelaxweight = tmpdbl;
  }

  n=2;
  twodbl[0] = twodbl[1] = 1.0;
  ierr = PetscOptionsRealArray("-pc_hypre_boomeramg_outer_relax_weight_level","Set the outer relaxation weight for a particular level (weight,level)","None",twodbl, &n, &flg);CHKERRQ(ierr);
  if (flg) {
    if (n == 2) {
      indx =  (int)PetscAbsReal(twodbl[1]);
      ierr = HYPRE_BoomerAMGSetLevelOuterWt( jac->hsolver, twodbl[0], indx);CHKERRQ(ierr);
    } else {
      SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Relax weight outer level: You must provide 2 values separated by a comma (and no space), you provided %d",n);
    }
  }

  /* the Relax Order */
  ierr = PetscOptionsTruth( "-pc_hypre_boomeramg_no_CF", "Do not use CF-relaxation", "None", PETSC_FALSE, &tmp_truth, &flg);CHKERRQ(ierr);

  if (flg) {
    jac->relaxorder = 0;
    ierr = HYPRE_BoomerAMGSetRelaxOrder(jac->hsolver, jac->relaxorder);CHKERRQ(ierr);
  }
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_measure_type","Measure type","None",HYPREBoomerAMGMeasureType,2,HYPREBoomerAMGMeasureType[0],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->measuretype = indx;
    ierr = HYPRE_BoomerAMGSetMeasureType(jac->hsolver,jac->measuretype);CHKERRQ(ierr);
  }
  /* update list length 3/07 */
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_coarsen_type","Coarsen type","None",HYPREBoomerAMGCoarsenType,11,HYPREBoomerAMGCoarsenType[6],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->coarsentype = indx;
    ierr = HYPRE_BoomerAMGSetCoarsenType(jac->hsolver,jac->coarsentype);CHKERRQ(ierr);
  }

  /* new 3/07 */
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_interp_type","Interpolation type","None",HYPREBoomerAMGInterpType,14,HYPREBoomerAMGInterpType[0],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->interptype = indx;
    ierr = HYPRE_BoomerAMGSetInterpType(jac->hsolver,jac->interptype);CHKERRQ(ierr);
  }

  flg  = PETSC_FALSE;
  ierr = PetscOptionsTruth("-pc_hypre_boomeramg_print_statistics","Print statistics","None",flg,&flg,PETSC_NULL);CHKERRQ(ierr);
  if (flg) {
    int level=3;
    jac->printstatistics = PETSC_TRUE;
    ierr = PetscOptionsInt("-pc_hypre_boomeramg_print_statistics","Print statistics","None",level,&level,PETSC_NULL);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetPrintLevel(jac->hsolver,level);CHKERRQ(ierr);
  }

  flg  = PETSC_FALSE;
  ierr = PetscOptionsTruth("-pc_hypre_boomeramg_print_debug","Print debug information","None",flg,&flg,PETSC_NULL);CHKERRQ(ierr);
  if (flg) {
    int level=3;
    jac->printstatistics = PETSC_TRUE;
    ierr = PetscOptionsInt("-pc_hypre_boomeramg_print_debug","Print debug information","None",level,&level,PETSC_NULL);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetDebugFlag(jac->hsolver,level);CHKERRQ(ierr);
  }

  ierr = PetscOptionsTruth( "-pc_hypre_boomeramg_nodal_coarsen", "HYPRE_BoomerAMGSetNodal()", "None", PETSC_FALSE, &tmp_truth, &flg);CHKERRQ(ierr);
  if (flg && tmp_truth) {
    jac->nodal_coarsen = 1;
    ierr = HYPRE_BoomerAMGSetNodal(jac->hsolver,1);CHKERRQ(ierr);
  }

  ierr = PetscOptionsTruth( "-pc_hypre_boomeramg_nodal_relaxation", "Nodal relaxation via Schwarz", "None", PETSC_FALSE, &tmp_truth, &flg);CHKERRQ(ierr);
  if (flg && tmp_truth) {
    PetscInt tmp_int;
    ierr = PetscOptionsInt( "-pc_hypre_boomeramg_nodal_relaxation", "Nodal relaxation via Schwarz", "None",jac->nodal_relax_levels,&tmp_int,&flg);CHKERRQ(ierr);
    if (flg) jac->nodal_relax_levels = tmp_int;
    ierr = HYPRE_BoomerAMGSetSmoothType(jac->hsolver,6);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetDomainType(jac->hsolver,1);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetOverlap(jac->hsolver,0);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetSmoothNumLevels(jac->hsolver,jac->nodal_relax_levels);CHKERRQ(ierr);
  }

  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCApplyRichardson_HYPRE_BoomerAMG"
static PetscErrorCode PCApplyRichardson_HYPRE_BoomerAMG(PC pc,Vec b,Vec y,Vec w,PetscReal rtol,PetscReal abstol, PetscReal dtol,PetscInt its,PetscTruth guesszero,PetscInt *outits,PCRichardsonConvergedReason *reason)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  int            oits;

  PetscFunctionBegin;
  ierr = HYPRE_BoomerAMGSetMaxIter(jac->hsolver,its*jac->maxiter);CHKERRQ(ierr);
  ierr = HYPRE_BoomerAMGSetTol(jac->hsolver,rtol);CHKERRQ(ierr);
  jac->applyrichardson = PETSC_TRUE;
  ierr = PCApply_HYPRE(pc,b,y);CHKERRQ(ierr);
  jac->applyrichardson = PETSC_FALSE;
  ierr = HYPRE_BoomerAMGGetNumIterations(jac->hsolver,&oits);CHKERRQ(ierr);
  *outits = oits;
  if (oits == its) *reason = PCRICHARDSON_CONVERGED_ITS;
  else             *reason = PCRICHARDSON_CONVERGED_RTOL;
  ierr = HYPRE_BoomerAMGSetTol(jac->hsolver,jac->tol);CHKERRQ(ierr);
  ierr = HYPRE_BoomerAMGSetMaxIter(jac->hsolver,jac->maxiter);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}


#undef __FUNCT__
#define __FUNCT__ "PCView_HYPRE_BoomerAMG"
static PetscErrorCode PCView_HYPRE_BoomerAMG(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscTruth     iascii;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Cycle type %s\n",HYPREBoomerAMGCycleType[jac->cycletype]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Maximum number of levels %d\n",jac->maxlevels);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Maximum number of iterations PER hypre call %d\n",jac->maxiter);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Convergence tolerance PER hypre call %G\n",jac->tol);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Threshold for strong coupling %G\n",jac->strongthreshold);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Interpolation truncation factor %G\n",jac->truncfactor);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Interpolation: max elements per row %d\n",jac->pmax);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Number of levels of aggressive coarsening %d\n",jac->agg_nl);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Number of paths for aggressive coarsening %d\n",jac->agg_num_paths);CHKERRQ(ierr);

    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Maximum row sums %G\n",jac->maxrowsum);CHKERRQ(ierr);

    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Sweeps down         %d\n",jac->gridsweeps[0]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Sweeps up           %d\n",jac->gridsweeps[1]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Sweeps on coarse    %d\n",jac->gridsweeps[2]);CHKERRQ(ierr);

    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Relax down          %s\n",HYPREBoomerAMGRelaxType[jac->relaxtype[0]]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Relax up            %s\n",HYPREBoomerAMGRelaxType[jac->relaxtype[1]]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Relax on coarse     %s\n",HYPREBoomerAMGRelaxType[jac->relaxtype[2]]);CHKERRQ(ierr);

    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Relax weight  (all)      %G\n",jac->relaxweight);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Outer relax weight (all) %G\n",jac->outerrelaxweight);CHKERRQ(ierr);

    if (jac->relaxorder) {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Using CF-relaxation\n");CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Not using CF-relaxation\n");CHKERRQ(ierr);
    }
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Measure type        %s\n",HYPREBoomerAMGMeasureType[jac->measuretype]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Coarsen type        %s\n",HYPREBoomerAMGCoarsenType[jac->coarsentype]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG: Interpolation type  %s\n",HYPREBoomerAMGInterpType[jac->interptype]);CHKERRQ(ierr);
    if (jac->nodal_coarsen) {
      ierr = PetscViewerASCIIPrintf(viewer," HYPRE BoomerAMG: Using nodal coarsening (with HYPRE_BOOMERAMGSetNodal())\n");CHKERRQ(ierr);
    }
    if (jac->nodal_relax) {
      ierr = PetscViewerASCIIPrintf(viewer," HYPRE BoomerAMG: Using nodal relaxation via Schwarz smoothing on levels %d\n",jac->nodal_relax_levels);CHKERRQ(ierr);
    }
  }
  PetscFunctionReturn(0);
}

/* --------------------------------------------------------------------------------------------*/
#undef __FUNCT__
#define __FUNCT__ "PCSetFromOptions_HYPRE_ParaSails"
static PetscErrorCode PCSetFromOptions_HYPRE_ParaSails(PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  int            indx;
  PetscTruth     flag;
  const char     *symtlist[] = {"nonsymmetric","SPD","nonsymmetric,SPD"};

  PetscFunctionBegin;
  ierr = PetscOptionsHead("HYPRE ParaSails Options");CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_parasails_nlevels","Number of number of levels","None",jac->nlevels,&jac->nlevels,0);CHKERRQ(ierr);
  ierr = PetscOptionsReal("-pc_hypre_parasails_thresh","Threshold","None",jac->threshhold,&jac->threshhold,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = HYPRE_ParaSailsSetParams(jac->hsolver,jac->threshhold,jac->nlevels);CHKERRQ(ierr);
  }

  ierr = PetscOptionsReal("-pc_hypre_parasails_filter","filter","None",jac->filter,&jac->filter,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = HYPRE_ParaSailsSetFilter(jac->hsolver,jac->filter);CHKERRQ(ierr);
  }

  ierr = PetscOptionsReal("-pc_hypre_parasails_loadbal","Load balance","None",jac->loadbal,&jac->loadbal,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = HYPRE_ParaSailsSetLoadbal(jac->hsolver,jac->loadbal);CHKERRQ(ierr);
  }

  ierr = PetscOptionsTruth("-pc_hypre_parasails_logging","Print info to screen","None",(PetscTruth)jac->logging,(PetscTruth*)&jac->logging,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = HYPRE_ParaSailsSetLogging(jac->hsolver,jac->logging);CHKERRQ(ierr);
  }

  ierr = PetscOptionsTruth("-pc_hypre_parasails_reuse","Reuse nonzero pattern in preconditioner","None",(PetscTruth)jac->ruse,(PetscTruth*)&jac->ruse,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = HYPRE_ParaSailsSetReuse(jac->hsolver,jac->ruse);CHKERRQ(ierr);
  }

  ierr = PetscOptionsEList("-pc_hypre_parasails_sym","Symmetry of matrix and preconditioner","None",symtlist,3,symtlist[0],&indx,&flag);CHKERRQ(ierr);
  if (flag) {
    jac->symt = indx;
    ierr = HYPRE_ParaSailsSetSym(jac->hsolver,jac->symt);CHKERRQ(ierr);
  }

  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCView_HYPRE_ParaSails"
static PetscErrorCode PCView_HYPRE_ParaSails(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscTruth     iascii;
  const char     *symt = 0;;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails: nlevels %d\n",jac->nlevels);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails: threshold %G\n",jac->threshhold);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails: filter %G\n",jac->filter);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails: load balance %G\n",jac->loadbal);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails: reuse nonzero structure %s\n",PetscTruths[jac->ruse]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails: print info to screen %s\n",PetscTruths[jac->logging]);CHKERRQ(ierr);
    if (!jac->symt) {
      symt = "nonsymmetric matrix and preconditioner";
    } else if (jac->symt == 1) {
      symt = "SPD matrix and preconditioner";
    } else if (jac->symt == 2) {
      symt = "nonsymmetric matrix but SPD preconditioner";
    } else {
      SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_WRONG,"Unknown HYPRE ParaSails symmetric option %d",jac->symt);
    }
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails: %s\n",symt);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}
/* ---------------------------------------------------------------------------------*/

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "PCHYPREGetType_HYPRE"
PetscErrorCode PETSCKSP_DLLEXPORT PCHYPREGetType_HYPRE(PC pc,const char *name[])
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;

  PetscFunctionBegin;
  *name = jac->hypre_type;
  PetscFunctionReturn(0);
}
EXTERN_C_END

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "PCHYPRESetType_HYPRE"
PetscErrorCode PETSCKSP_DLLEXPORT PCHYPRESetType_HYPRE(PC pc,const char name[])
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscTruth     flag;

  PetscFunctionBegin;
  if (jac->hypre_type) {
    ierr = PetscStrcmp(jac->hypre_type,name,&flag);CHKERRQ(ierr);
    if (!flag) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ORDER,"Cannot reset the HYPRE preconditioner type once it has been set");
    PetscFunctionReturn(0);
  } else {
    ierr = PetscStrallocpy(name, &jac->hypre_type);CHKERRQ(ierr);
  }

  jac->maxiter            = PETSC_DEFAULT;
  jac->tol                = PETSC_DEFAULT;
  jac->printstatistics    = PetscLogPrintInfo;

  ierr = PetscStrcmp("pilut",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr                    = HYPRE_ParCSRPilutCreate(jac->comm_hypre,&jac->hsolver);
    pc->ops->setfromoptions = PCSetFromOptions_HYPRE_Pilut;
    pc->ops->view           = PCView_HYPRE_Pilut;
    jac->destroy            = HYPRE_ParCSRPilutDestroy;
    jac->setup              = HYPRE_ParCSRPilutSetup;
    jac->solve              = HYPRE_ParCSRPilutSolve;
    jac->factorrowsize      = PETSC_DEFAULT;
    PetscFunctionReturn(0);
  }
  ierr = PetscStrcmp("parasails",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr                    = HYPRE_ParaSailsCreate(jac->comm_hypre,&jac->hsolver);
    pc->ops->setfromoptions = PCSetFromOptions_HYPRE_ParaSails;
    pc->ops->view           = PCView_HYPRE_ParaSails;
    jac->destroy            = HYPRE_ParaSailsDestroy;
    jac->setup              = HYPRE_ParaSailsSetup;
    jac->solve              = HYPRE_ParaSailsSolve;
    /* initialize */
    jac->nlevels     = 1;
    jac->threshhold  = .1;
    jac->filter      = .1;
    jac->loadbal     = 0;
    if (PetscLogPrintInfo) {
      jac->logging     = (int) PETSC_TRUE;
    } else {
      jac->logging     = (int) PETSC_FALSE;
    }
    jac->ruse = (int) PETSC_FALSE;
    jac->symt   = 0;
    ierr = HYPRE_ParaSailsSetParams(jac->hsolver,jac->threshhold,jac->nlevels);CHKERRQ(ierr);
    ierr = HYPRE_ParaSailsSetFilter(jac->hsolver,jac->filter);CHKERRQ(ierr);
    ierr = HYPRE_ParaSailsSetLoadbal(jac->hsolver,jac->loadbal);CHKERRQ(ierr);
    ierr = HYPRE_ParaSailsSetLogging(jac->hsolver,jac->logging);CHKERRQ(ierr);
    ierr = HYPRE_ParaSailsSetReuse(jac->hsolver,jac->ruse);CHKERRQ(ierr);
    ierr = HYPRE_ParaSailsSetSym(jac->hsolver,jac->symt);CHKERRQ(ierr);
    PetscFunctionReturn(0);
  }
  ierr = PetscStrcmp("euclid",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr                    = HYPRE_EuclidCreate(jac->comm_hypre,&jac->hsolver);
    pc->ops->setfromoptions = PCSetFromOptions_HYPRE_Euclid;
    pc->ops->view           = PCView_HYPRE_Euclid;
    jac->destroy            = HYPRE_EuclidDestroy;
    jac->setup              = HYPRE_EuclidSetup;
    jac->solve              = HYPRE_EuclidSolve;
    /* initialization */
    jac->bjilu              = PETSC_FALSE;
    jac->levels             = 1;
    PetscFunctionReturn(0);
  }
  ierr = PetscStrcmp("boomeramg",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr                     = HYPRE_BoomerAMGCreate(&jac->hsolver);
    pc->ops->setfromoptions  = PCSetFromOptions_HYPRE_BoomerAMG;
    pc->ops->view            = PCView_HYPRE_BoomerAMG;
    pc->ops->applytranspose  = PCApplyTranspose_HYPRE_BoomerAMG;
    pc->ops->applyrichardson = PCApplyRichardson_HYPRE_BoomerAMG;
    jac->destroy             = HYPRE_BoomerAMGDestroy;
    jac->setup               = HYPRE_BoomerAMGSetup;
    jac->solve               = HYPRE_BoomerAMGSolve;
    jac->applyrichardson     = PETSC_FALSE;
    /* these defaults match the hypre defaults */
    jac->cycletype        = 1;
    jac->maxlevels        = 25;
    jac->maxiter          = 1;
    jac->tol              = 0.0; /* tolerance of zero indicates use as preconditioner (suppresses convergence errors) */
    jac->truncfactor      = 0.0;
    jac->strongthreshold  = .25;
    jac->maxrowsum        = .9;
    jac->coarsentype      = 6;
    jac->measuretype      = 0;
    jac->gridsweeps[0]    = jac->gridsweeps[1] = jac->gridsweeps[2] = 1;
    jac->relaxtype[0]     = jac->relaxtype[1] = 6; /* Defaults to SYMMETRIC since in PETSc we are using a a PC - most likely with CG */
    jac->relaxtype[2]     = 9; /*G.E. */
    jac->relaxweight      = 1.0;
    jac->outerrelaxweight = 1.0;
    jac->relaxorder       = 1;
    jac->interptype       = 0;
    jac->agg_nl           = 0;
    jac->pmax             = 0;
    jac->truncfactor      = 0.0;
    jac->agg_num_paths    = 1;

    jac->nodal_coarsen    = 0;
    jac->nodal_relax      = PETSC_FALSE;
    jac->nodal_relax_levels = 1;
    ierr = HYPRE_BoomerAMGSetCycleType(jac->hsolver,jac->cycletype);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetMaxLevels(jac->hsolver,jac->maxlevels);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetMaxIter(jac->hsolver,jac->maxiter);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetTol(jac->hsolver,jac->tol);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetTruncFactor(jac->hsolver,jac->truncfactor);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetStrongThreshold(jac->hsolver,jac->strongthreshold);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetMaxRowSum(jac->hsolver,jac->maxrowsum);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetCoarsenType(jac->hsolver,jac->coarsentype);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetMeasureType(jac->hsolver,jac->measuretype);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetRelaxOrder(jac->hsolver, jac->relaxorder);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetInterpType(jac->hsolver,jac->interptype);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetAggNumLevels(jac->hsolver,jac->agg_nl);
    ierr = HYPRE_BoomerAMGSetPMaxElmts(jac->hsolver,jac->pmax);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetNumPaths(jac->hsolver,jac->agg_num_paths);CHKERRQ(ierr);
    ierr = HYPRE_BoomerAMGSetRelaxType(jac->hsolver, jac->relaxtype[0]);  /*defaults coarse to 9*/
    ierr = HYPRE_BoomerAMGSetNumSweeps(jac->hsolver, jac->gridsweeps[0]); /*defaults coarse to 1 */
    PetscFunctionReturn(0);
  }
  ierr = PetscFree(jac->hypre_type);CHKERRQ(ierr);
  jac->hypre_type = PETSC_NULL;
  SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown HYPRE preconditioner %s; Choices are pilut, parasails, euclid, boomeramg",name);
  PetscFunctionReturn(0);
}
EXTERN_C_END

/*
    It only gets here if the HYPRE type has not been set before the call to
   ...SetFromOptions() which actually is most of the time
*/
#undef __FUNCT__
#define __FUNCT__ "PCSetFromOptions_HYPRE"
static PetscErrorCode PCSetFromOptions_HYPRE(PC pc)
{
  PetscErrorCode ierr;
  int            indx;
  const char     *type[] = {"pilut","parasails","boomeramg","euclid"};
  PetscTruth     flg;

  PetscFunctionBegin;
  ierr = PetscOptionsHead("HYPRE preconditioner options");CHKERRQ(ierr);
  ierr = PetscOptionsEList("-pc_hypre_type","HYPRE preconditioner type","PCHYPRESetType",type,4,"boomeramg",&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = PCHYPRESetType_HYPRE(pc,type[indx]);CHKERRQ(ierr);
  } else {
    ierr = PCHYPRESetType_HYPRE(pc,"boomeramg");CHKERRQ(ierr);
  }
  if (pc->ops->setfromoptions) {
    ierr = pc->ops->setfromoptions(pc);CHKERRQ(ierr);
  }
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCHYPRESetType"
/*@C
     PCHYPRESetType - Sets which hypre preconditioner you wish to use

   Input Parameters:
+     pc - the preconditioner context
-     name - either  pilut, parasails, boomeramg, euclid

   Options Database Keys:
   -pc_hypre_type - One of pilut, parasails, boomeramg, euclid

   Level: intermediate

.seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC,
           PCHYPRE

@*/
PetscErrorCode PETSCKSP_DLLEXPORT PCHYPRESetType(PC pc,const char name[])
{
  PetscErrorCode ierr,(*f)(PC,const char[]);

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidCharPointer(name,2);
  ierr = PetscObjectQueryFunction((PetscObject)pc,"PCHYPRESetType_C",(void (**)(void))&f);CHKERRQ(ierr);
  if (f) {
    ierr = (*f)(pc,name);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCHYPREGetType"
/*@C
     PCHYPREGetType - Gets which hypre preconditioner you are using

   Input Parameter:
.     pc - the preconditioner context

   Output Parameter:
.     name - either  pilut, parasails, boomeramg, euclid

   Level: intermediate

.seealso:  PCCreate(), PCHYPRESetType(), PCType (for list of available types), PC,
           PCHYPRE

@*/
PetscErrorCode PETSCKSP_DLLEXPORT PCHYPREGetType(PC pc,const char *name[])
{
  PetscErrorCode ierr,(*f)(PC,const char*[]);

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidPointer(name,2);
  ierr = PetscObjectQueryFunction((PetscObject)pc,"PCHYPREGetType_C",(void (**)(void))&f);CHKERRQ(ierr);
  if (f) {
    ierr = (*f)(pc,name);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

/*MC
     PCHYPRE - Allows you to use the matrix element based preconditioners in the LLNL package hypre

   Options Database Keys:
+   -pc_hypre_type - One of pilut, parasails, boomeramg, euclid
-   Too many others to list, run with -pc_type hypre -pc_hypre_type XXX -help to see options for the XXX
          preconditioner

   Level: intermediate

   Notes: Apart from pc_hypre_type (for which there is PCHYPRESetType()),
          the many hypre options can ONLY be set via the options database (e.g. the command line
          or with PetscOptionsSetValue(), there are no functions to set them)

          The options -pc_hypre_boomeramg_max_iter and -pc_hypre_boomeramg_rtol refer to the number of iterations
          (V-cycles) and tolerance that boomeramg does EACH time it is called. So for example, if
          -pc_hypre_boomeramg_max_iter is set to 2 then 2-V-cycles are being used to define the preconditioner
          (-pc_hypre_boomeramg_rtol should be set to 0.0 - the default - to strictly use a fixed number of
          iterations per hypre call). -ksp_max_it and -ksp_rtol STILL determine the total number of iterations
          and tolerance for the Krylov solver. For example, if -pc_hypre_boomeramg_max_iter is 2 and -ksp_max_it is 10
          then AT MOST twenty V-cycles of boomeramg will be called.

           Note that the option -pc_hypre_boomeramg_relax_type_all defaults to symmetric relaxation
           (symmetric-SOR/Jacobi), which is required for Krylov solvers like CG that expect symmetry.
           Otherwise, you may want to use -pc_hypre_boomeramg_relax_type_all SOR/Jacobi.
          If you wish to use BoomerAMG WITHOUT a Krylov method use -ksp_type richardson NOT -ksp_type preonly
          and use -ksp_max_it to control the number of V-cycles.
          (see the PETSc FAQ.html at the PETSc website under the Documentation tab).

	  2007-02-03 Using HYPRE-1.11.1b, the routine HYPRE_BoomerAMGSolveT and the option
	  -pc_hypre_parasails_reuse were failing with SIGSEGV. Dalcin L.

          See PCPFMG for access to the hypre Struct PFMG solver

.seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC,
           PCHYPRESetType(), PCPFMG

M*/

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "PCCreate_HYPRE"
PetscErrorCode PETSCKSP_DLLEXPORT PCCreate_HYPRE(PC pc)
{
  PC_HYPRE       *jac;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  ierr = PetscNewLog(pc,PC_HYPRE,&jac);CHKERRQ(ierr);
  pc->data                 = jac;
  pc->ops->destroy         = PCDestroy_HYPRE;
  pc->ops->setfromoptions  = PCSetFromOptions_HYPRE;
  pc->ops->setup           = PCSetUp_HYPRE;
  pc->ops->apply           = PCApply_HYPRE;
  jac->comm_hypre          = MPI_COMM_NULL;
  jac->hypre_type          = PETSC_NULL;
  /* duplicate communicator for hypre */
  ierr = MPI_Comm_dup(((PetscObject)pc)->comm,&(jac->comm_hypre));CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCHYPRESetType_C","PCHYPRESetType_HYPRE",PCHYPRESetType_HYPRE);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCHYPREGetType_C","PCHYPREGetType_HYPRE",PCHYPREGetType_HYPRE);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
EXTERN_C_END

/* ---------------------------------------------------------------------------------------------------------------------------------*/

/* working with a HYPRE_StructMatrix and need access to its data */
#include "../src/dm/da/utils/mhyp.h"
/* this include is needed ONLY to allow access to the private data inside the Mat object specific to hypre */
#include "private/matimpl.h"

typedef struct {
  MPI_Comm            hcomm;       /* does not share comm with HYPRE_StructMatrix because need to create solver before getting matrix */
  HYPRE_StructSolver  hsolver;

  /* keep copy of PFMG options used so may view them */
  int                 its;
  double              tol;
  int                 relax_type;
  int                 rap_type;
  int                 num_pre_relax,num_post_relax;
  int                 max_levels;
} PC_PFMG;

#undef __FUNCT__
#define __FUNCT__ "PCDestroy_PFMG"
PetscErrorCode PCDestroy_PFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_PFMG        *ex = (PC_PFMG*) pc->data;

  PetscFunctionBegin;
  if (ex->hsolver) {ierr = HYPRE_StructPFMGDestroy(ex->hsolver);CHKERRQ(ierr);}
  ierr = MPI_Comm_free(&ex->hcomm);CHKERRQ(ierr);
  ierr = PetscFree(ex);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static const char *PFMGRelaxType[]   = {"Jacobi","Weighted-Jacobi","symmetric-Red/Black-Gauss-Seidel","Red/Black-Gauss-Seidel"};
static const char *PFMGRAPType[]   = {"Galerkin","non-Galerkin"};

#undef __FUNCT__
#define __FUNCT__ "PCView_PFMG"
PetscErrorCode PCView_PFMG(PC pc,PetscViewer viewer)
{
  PetscErrorCode ierr;
  PetscTruth     iascii;
  PC_PFMG        *ex = (PC_PFMG*) pc->data;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE PFMG preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE PFMG: max iterations %d\n",ex->its);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE PFMG: tolerance %g\n",ex->tol);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE PFMG: relax type %s\n",PFMGRelaxType[ex->relax_type]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE PFMG: RAP type %s\n",PFMGRAPType[ex->rap_type]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE PFMG: number pre-relax %d post-relax %d\n",ex->num_pre_relax,ex->num_post_relax);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE PFMG: max levels %d\n",ex->max_levels);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}


#undef __FUNCT__
#define __FUNCT__ "PCSetFromOptions_PFMG"
PetscErrorCode PCSetFromOptions_PFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_PFMG        *ex = (PC_PFMG*) pc->data;
  PetscTruth     flg = PETSC_FALSE;

  PetscFunctionBegin;
  ierr = PetscOptionsHead("PFMG options");CHKERRQ(ierr);
  ierr = PetscOptionsTruth("-pc_pfmg_print_statistics","Print statistics","HYPRE_StructPFMGSetPrintLevel",flg,&flg,PETSC_NULL);CHKERRQ(ierr);
  if (flg) {
    int level=3;
    ierr = HYPRE_StructPFMGSetPrintLevel(ex->hsolver,level);CHKERRQ(ierr);
  }
  ierr = PetscOptionsInt("-pc_pfmg_its","Number of iterations of PFMG to use as preconditioner","HYPRE_StructPFMGSetMaxIter",ex->its,&ex->its,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetMaxIter(ex->hsolver,ex->its);CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_pfmg_num_pre_relax","Number of smoothing steps before coarse grid","HYPRE_StructPFMGSetNumPreRelax",ex->num_pre_relax,&ex->num_pre_relax,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetNumPreRelax(ex->hsolver,ex->num_pre_relax);CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_pfmg_num_post_relax","Number of smoothing steps after coarse grid","HYPRE_StructPFMGSetNumPostRelax",ex->num_post_relax,&ex->num_post_relax,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetNumPostRelax(ex->hsolver,ex->num_post_relax);CHKERRQ(ierr);

  ierr = PetscOptionsInt("-pc_pfmg_max_levels","Max Levels for MG hierarchy","HYPRE_StructPFMGSetMaxLevels",ex->max_levels,&ex->max_levels,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetMaxLevels(ex->hsolver,ex->max_levels);CHKERRQ(ierr);

  ierr = PetscOptionsReal("-pc_pfmg_tol","Tolerance of PFMG","HYPRE_StructPFMGSetTol",ex->tol,&ex->tol,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetTol(ex->hsolver,ex->tol);CHKERRQ(ierr);
  ierr = PetscOptionsEList("-pc_pfmg_relax_type","Relax type for the up and down cycles","HYPRE_StructPFMGSetRelaxType",PFMGRelaxType,4,PFMGRelaxType[ex->relax_type],&ex->relax_type,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetRelaxType(ex->hsolver, ex->relax_type);CHKERRQ(ierr);
  ierr = PetscOptionsEList("-pc_pfmg_rap_type","RAP type","HYPRE_StructPFMGSetRAPType",PFMGRAPType,2,PFMGRAPType[ex->rap_type],&ex->rap_type,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetRAPType(ex->hsolver, ex->rap_type);CHKERRQ(ierr);
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCApply_PFMG"
PetscErrorCode PCApply_PFMG(PC pc,Vec x,Vec y)
{
  PetscErrorCode  ierr;
  PC_PFMG         *ex = (PC_PFMG*) pc->data;
  PetscScalar     *xx,*yy;
  int             ilower[3],iupper[3];
  Mat_HYPREStruct *mx = (Mat_HYPREStruct *)(pc->pmat->data);

  PetscFunctionBegin;
  ierr = DAGetCorners(mx->da,&ilower[0],&ilower[1],&ilower[2],&iupper[0],&iupper[1],&iupper[2]);CHKERRQ(ierr);
  iupper[0] += ilower[0] - 1;
  iupper[1] += ilower[1] - 1;
  iupper[2] += ilower[2] - 1;

  /* copy x values over to hypre */
  ierr = HYPRE_StructVectorSetConstantValues(mx->hb,0.0);CHKERRQ(ierr);
  ierr = VecGetArray(x,&xx);CHKERRQ(ierr);
  ierr = HYPRE_StructVectorSetBoxValues(mx->hb,ilower,iupper,xx);CHKERRQ(ierr);
  ierr = VecRestoreArray(x,&xx);CHKERRQ(ierr);
  ierr = HYPRE_StructVectorAssemble(mx->hb);CHKERRQ(ierr);

  ierr = HYPRE_StructPFMGSolve(ex->hsolver,mx->hmat,mx->hb,mx->hx);CHKERRQ(ierr);

  /* copy solution values back to PETSc */
  ierr = VecGetArray(y,&yy);CHKERRQ(ierr);
  ierr = HYPRE_StructVectorGetBoxValues(mx->hx,ilower,iupper,yy);CHKERRQ(ierr);
  ierr = VecRestoreArray(y,&yy);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCApplyRichardson_PFMG"
static PetscErrorCode PCApplyRichardson_PFMG(PC pc,Vec b,Vec y,Vec w,PetscReal rtol,PetscReal abstol, PetscReal dtol,PetscInt its,PetscTruth guesszero,PetscInt *outits,PCRichardsonConvergedReason *reason)
{
  PC_PFMG        *jac = (PC_PFMG*)pc->data;
  PetscErrorCode ierr;
  int            oits;

  PetscFunctionBegin;
  ierr = HYPRE_StructPFMGSetMaxIter(jac->hsolver,its*jac->its);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetTol(jac->hsolver,rtol);CHKERRQ(ierr);

  ierr = PCApply_PFMG(pc,b,y);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGGetNumIterations(jac->hsolver,&oits);CHKERRQ(ierr);
  *outits = oits;
  if (oits == its) *reason = PCRICHARDSON_CONVERGED_ITS;
  else             *reason = PCRICHARDSON_CONVERGED_RTOL;
  ierr = HYPRE_StructPFMGSetTol(jac->hsolver,jac->tol);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetMaxIter(jac->hsolver,jac->its);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}


#undef __FUNCT__
#define __FUNCT__ "PCSetUp_PFMG"
PetscErrorCode PCSetUp_PFMG(PC pc)
{
  PetscErrorCode  ierr;
  PC_PFMG         *ex = (PC_PFMG*) pc->data;
  Mat_HYPREStruct *mx = (Mat_HYPREStruct *)(pc->pmat->data);
  PetscTruth      flg;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)pc->pmat,MATHYPRESTRUCT,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_INCOMP,"Must use MATHYPRESTRUCT with this preconditioner");

  /* create the hypre solver object and set its information */
  if (ex->hsolver) {
    ierr = HYPRE_StructPFMGDestroy(ex->hsolver);CHKERRQ(ierr);
  }
  ierr = HYPRE_StructPFMGCreate(ex->hcomm,&ex->hsolver);CHKERRQ(ierr);
  ierr = PCSetFromOptions_PFMG(pc);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetup(ex->hsolver,mx->hmat,mx->hb,mx->hx);CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGSetZeroGuess(ex->hsolver);CHKERRQ(ierr);

  PetscFunctionReturn(0);
}


/*MC
     PCPFMG - the hypre PFMG multigrid solver

   Level: advanced

   Options Database:
+ -pc_pfmg_its <its> number of iterations of PFMG to use as preconditioner
. -pc_pfmg_num_pre_relax <steps> number of smoothing steps before coarse grid
. -pc_pfmg_num_post_relax <steps> number of smoothing steps after coarse grid
. -pc_pfmg_tol <tol> tolerance of PFMG
. -pc_pfmg_relax_type -relaxation type for the up and down cycles, one of Jacobi,Weighted-Jacobi,symmetric-Red/Black-Gauss-Seidel,Red/Black-Gauss-Seidel
- -pc_pfmg_rap_type - type of coarse matrix generation, one of Galerkin,non-Galerkin

   Notes:  This is for CELL-centered descretizations

           This must be used with the MATHYPRESTRUCT matrix type.
           This is less general than in hypre, it supports only one block per process defined by a PETSc DA.

.seealso:  PCMG, MATHYPRESTRUCT
M*/

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "PCCreate_PFMG"
PetscErrorCode PETSCKSP_DLLEXPORT PCCreate_PFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_PFMG        *ex;

  PetscFunctionBegin;
  ierr = PetscNew(PC_PFMG,&ex);CHKERRQ(ierr);\
  pc->data = ex;

  ex->its            = 1;
  ex->tol            = 1.e-8;
  ex->relax_type     = 1;
  ex->rap_type       = 0;
  ex->num_pre_relax  = 1;
  ex->num_post_relax = 1;
  ex->max_levels     = 0;

  pc->ops->setfromoptions  = PCSetFromOptions_PFMG;
  pc->ops->view            = PCView_PFMG;
  pc->ops->destroy         = PCDestroy_PFMG;
  pc->ops->apply           = PCApply_PFMG;
  pc->ops->applyrichardson = PCApplyRichardson_PFMG;
  pc->ops->setup           = PCSetUp_PFMG;
  ierr = MPI_Comm_dup(((PetscObject)pc)->comm,&(ex->hcomm));CHKERRQ(ierr);
  ierr = HYPRE_StructPFMGCreate(ex->hcomm,&ex->hsolver);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
EXTERN_C_END

/* we know we are working with a HYPRE_SStructMatrix */
typedef struct {
  MPI_Comm            hcomm;       /* does not share comm with HYPRE_SStructMatrix because need to create solver before getting matrix */
  HYPRE_SStructSolver  ss_solver;

  /* keep copy of SYSPFMG options used so may view them */
  int                 its;
  double              tol;
  int                 relax_type;
  int                 num_pre_relax,num_post_relax;
} PC_SysPFMG;

#undef __FUNCT__
#define __FUNCT__ "PCDestroy_SysPFMG"
PetscErrorCode PCDestroy_SysPFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_SysPFMG    *ex = (PC_SysPFMG*) pc->data;

  PetscFunctionBegin;
  if (ex->ss_solver) {ierr = HYPRE_SStructSysPFMGDestroy(ex->ss_solver);CHKERRQ(ierr);}
  ierr = MPI_Comm_free(&ex->hcomm);CHKERRQ(ierr);
  ierr = PetscFree(ex);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static const char *SysPFMGRelaxType[]   = {"Weighted-Jacobi","Red/Black-Gauss-Seidel"};

#undef __FUNCT__
#define __FUNCT__ "PCView_SysPFMG"
PetscErrorCode PCView_SysPFMG(PC pc,PetscViewer viewer)
{
  PetscErrorCode ierr;
  PetscTruth     iascii;
  PC_SysPFMG    *ex = (PC_SysPFMG*) pc->data;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE SysPFMG preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE SysPFMG: max iterations %d\n",ex->its);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE SysPFMG: tolerance %g\n",ex->tol);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE SysPFMG: relax type %s\n",PFMGRelaxType[ex->relax_type]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE SysPFMG: number pre-relax %d post-relax %d\n",ex->num_pre_relax,ex->num_post_relax);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}


#undef __FUNCT__
#define __FUNCT__ "PCSetFromOptions_SysPFMG"
PetscErrorCode PCSetFromOptions_SysPFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_SysPFMG    *ex = (PC_SysPFMG*) pc->data;
  PetscTruth     flg = PETSC_FALSE;

  PetscFunctionBegin;
  ierr = PetscOptionsHead("SysPFMG options");CHKERRQ(ierr);
  ierr = PetscOptionsTruth("-pc_syspfmg_print_statistics","Print statistics","HYPRE_SStructSysPFMGSetPrintLevel",flg,&flg,PETSC_NULL);CHKERRQ(ierr);
  if (flg) {
    int level=3;
    ierr = HYPRE_SStructSysPFMGSetPrintLevel(ex->ss_solver,level);CHKERRQ(ierr);
  }
  ierr = PetscOptionsInt("-pc_syspfmg_its","Number of iterations of SysPFMG to use as preconditioner","HYPRE_SStructSysPFMGSetMaxIter",ex->its,&ex->its,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetMaxIter(ex->ss_solver,ex->its);CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_syspfmg_num_pre_relax","Number of smoothing steps before coarse grid","HYPRE_SStructSysPFMGSetNumPreRelax",ex->num_pre_relax,&ex->num_pre_relax,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetNumPreRelax(ex->ss_solver,ex->num_pre_relax);CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_syspfmg_num_post_relax","Number of smoothing steps after coarse grid","HYPRE_SStructSysPFMGSetNumPostRelax",ex->num_post_relax,&ex->num_post_relax,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetNumPostRelax(ex->ss_solver,ex->num_post_relax);CHKERRQ(ierr);

  ierr = PetscOptionsReal("-pc_syspfmg_tol","Tolerance of SysPFMG","HYPRE_SStructSysPFMGSetTol",ex->tol,&ex->tol,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetTol(ex->ss_solver,ex->tol);CHKERRQ(ierr);
  ierr = PetscOptionsEList("-pc_syspfmg_relax_type","Relax type for the up and down cycles","HYPRE_SStructSysPFMGSetRelaxType",SysPFMGRelaxType,4,SysPFMGRelaxType[ex->relax_type],&ex->relax_type,PETSC_NULL);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetRelaxType(ex->ss_solver, ex->relax_type);CHKERRQ(ierr);
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCApply_SysPFMG"
PetscErrorCode PCApply_SysPFMG(PC pc,Vec x,Vec y)
{
  PetscErrorCode    ierr;
  PC_SysPFMG       *ex = (PC_SysPFMG*) pc->data;
  PetscScalar      *xx,*yy;
  int               ilower[3],iupper[3];
  Mat_HYPRESStruct *mx = (Mat_HYPRESStruct *)(pc->pmat->data);
  int               ordering= mx->dofs_order;
  int               nvars= mx->nvars;
  int               part= 0;
  int               size;
  int               i;

  PetscFunctionBegin;
  ierr = DAGetCorners(mx->da,&ilower[0],&ilower[1],&ilower[2],&iupper[0],&iupper[1],&iupper[2]);CHKERRQ(ierr);
  iupper[0] += ilower[0] - 1;
  iupper[1] += ilower[1] - 1;
  iupper[2] += ilower[2] - 1;

  size= 1;
  for (i= 0; i< 3; i++) {
     size*= (iupper[i]-ilower[i]+1);
  }
  /* copy x values over to hypre for variable ordering */
  if (ordering) {
     ierr = HYPRE_SStructVectorSetConstantValues(mx->ss_b,0.0);CHKERRQ(ierr);
     ierr = VecGetArray(x,&xx);CHKERRQ(ierr);
     for (i= 0; i< nvars; i++) {
        ierr = HYPRE_SStructVectorSetBoxValues(mx->ss_b,part,ilower,iupper,i,xx+(size*i));CHKERRQ(ierr);
     }
     ierr = VecRestoreArray(x,&xx);CHKERRQ(ierr);
     ierr = HYPRE_SStructVectorAssemble(mx->ss_b);CHKERRQ(ierr);

     ierr = HYPRE_SStructMatrixMatvec(1.0,mx->ss_mat,mx->ss_b,0.0,mx->ss_x);CHKERRQ(ierr);
     ierr = HYPRE_SStructSysPFMGSolve(ex->ss_solver,mx->ss_mat,mx->ss_b,mx->ss_x);CHKERRQ(ierr);

     /* copy solution values back to PETSc */
     ierr = VecGetArray(y,&yy);CHKERRQ(ierr);
     for (i= 0; i< nvars; i++) {
        ierr = HYPRE_SStructVectorGetBoxValues(mx->ss_x,part,ilower,iupper,i,yy+(size*i));CHKERRQ(ierr);
     }
     ierr = VecRestoreArray(y,&yy);CHKERRQ(ierr);
  }

  else {      /* nodal ordering must be mapped to variable ordering for sys_pfmg */
     PetscScalar     *z;
     int              j, k;

     ierr = PetscMalloc(nvars*size*sizeof(PetscScalar),&z);CHKERRQ(ierr);
     ierr = HYPRE_SStructVectorSetConstantValues(mx->ss_b,0.0);CHKERRQ(ierr);
     ierr = VecGetArray(x,&xx);CHKERRQ(ierr);

     /* transform nodal to hypre's variable ordering for sys_pfmg */
     for (i= 0; i< size; i++) {
        k= i*nvars;
        for (j= 0; j< nvars; j++) {
           z[j*size+i]= xx[k+j];
        }
     }
     for (i= 0; i< nvars; i++) {
        ierr = HYPRE_SStructVectorSetBoxValues(mx->ss_b,part,ilower,iupper,i,z+(size*i));CHKERRQ(ierr);
     }
     ierr = VecRestoreArray(x,&xx);CHKERRQ(ierr);

     ierr = HYPRE_SStructVectorAssemble(mx->ss_b);CHKERRQ(ierr);

     ierr = HYPRE_SStructSysPFMGSolve(ex->ss_solver,mx->ss_mat,mx->ss_b,mx->ss_x);CHKERRQ(ierr);

     /* copy solution values back to PETSc */
     ierr = VecGetArray(y,&yy);CHKERRQ(ierr);
     for (i= 0; i< nvars; i++) {
        ierr = HYPRE_SStructVectorGetBoxValues(mx->ss_x,part,ilower,iupper,i,z+(size*i));CHKERRQ(ierr);
     }
     /* transform hypre's variable ordering for sys_pfmg to nodal ordering */
     for (i= 0; i< size; i++) {
        k= i*nvars;
        for (j= 0; j< nvars; j++) {
           yy[k+j]= z[j*size+i];
        }
     }
     ierr = VecRestoreArray(y,&yy);CHKERRQ(ierr);

     ierr = PetscFree(z);CHKERRQ(ierr);
  }

  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCApplyRichardson_SysPFMG"
static PetscErrorCode PCApplyRichardson_SysPFMG(PC pc,Vec b,Vec y,Vec w,PetscReal rtol,PetscReal abstol, PetscReal dtol,PetscInt its,PetscTruth guesszero,PetscInt *outits,PCRichardsonConvergedReason *reason)
{
  PC_SysPFMG    *jac = (PC_SysPFMG*)pc->data;
  PetscErrorCode ierr;
  int            oits;

  PetscFunctionBegin;

  ierr = HYPRE_SStructSysPFMGSetMaxIter(jac->ss_solver,its*jac->its);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetTol(jac->ss_solver,rtol);CHKERRQ(ierr);

  ierr = PCApply_SysPFMG(pc,b,y);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGGetNumIterations(jac->ss_solver,&oits);CHKERRQ(ierr);
  *outits = oits;
  if (oits == its) *reason = PCRICHARDSON_CONVERGED_ITS;
  else             *reason = PCRICHARDSON_CONVERGED_RTOL;
  ierr = HYPRE_SStructSysPFMGSetTol(jac->ss_solver,jac->tol);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetMaxIter(jac->ss_solver,jac->its);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}


#undef __FUNCT__
#define __FUNCT__ "PCSetUp_SysPFMG"
PetscErrorCode PCSetUp_SysPFMG(PC pc)
{
  PetscErrorCode    ierr;
  PC_SysPFMG       *ex = (PC_SysPFMG*) pc->data;
  Mat_HYPRESStruct *mx = (Mat_HYPRESStruct *)(pc->pmat->data);
  PetscTruth        flg;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)pc->pmat,MATHYPRESSTRUCT,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_INCOMP,"Must use MATHYPRESSTRUCT with this preconditioner");

  /* create the hypre sstruct solver object and set its information */
  if (ex->ss_solver) {
    ierr = HYPRE_SStructSysPFMGDestroy(ex->ss_solver);CHKERRQ(ierr);
  }
  ierr = HYPRE_SStructSysPFMGCreate(ex->hcomm,&ex->ss_solver);CHKERRQ(ierr);
  ierr = PCSetFromOptions_SysPFMG(pc);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetZeroGuess(ex->ss_solver);CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGSetup(ex->ss_solver,mx->ss_mat,mx->ss_b,mx->ss_x);CHKERRQ(ierr);

  PetscFunctionReturn(0);
}


/*MC
     PCSysPFMG - the hypre SysPFMG multigrid solver

   Level: advanced

   Options Database:
+ -pc_syspfmg_its <its> number of iterations of SysPFMG to use as preconditioner
. -pc_syspfmg_num_pre_relax <steps> number of smoothing steps before coarse grid
. -pc_syspfmg_num_post_relax <steps> number of smoothing steps after coarse grid
. -pc_syspfmg_tol <tol> tolerance of SysPFMG
. -pc_syspfmg_relax_type -relaxation type for the up and down cycles, one of Weighted-Jacobi,Red/Black-Gauss-Seidel

   Notes:  This is for CELL-centered descretizations

           This must be used with the MATHYPRESSTRUCT matrix type.
           This is less general than in hypre, it supports only one part, and one block per process defined by a PETSc DA.
           Also, only cell-centered variables.

.seealso:  PCMG, MATHYPRESSTRUCT
M*/

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "PCCreate_SysPFMG"
PetscErrorCode PETSCKSP_DLLEXPORT PCCreate_SysPFMG(PC pc)
{
  PetscErrorCode     ierr;
  PC_SysPFMG        *ex;

  PetscFunctionBegin;
  ierr = PetscNew(PC_SysPFMG,&ex);CHKERRQ(ierr);\
  pc->data = ex;

  ex->its            = 1;
  ex->tol            = 1.e-8;
  ex->relax_type     = 1;
  ex->num_pre_relax  = 1;
  ex->num_post_relax = 1;

  pc->ops->setfromoptions  = PCSetFromOptions_SysPFMG;
  pc->ops->view            = PCView_SysPFMG;
  pc->ops->destroy         = PCDestroy_SysPFMG;
  pc->ops->apply           = PCApply_SysPFMG;
  pc->ops->applyrichardson = PCApplyRichardson_SysPFMG;
  pc->ops->setup           = PCSetUp_SysPFMG;
  ierr = MPI_Comm_dup(((PetscObject)pc)->comm,&(ex->hcomm));CHKERRQ(ierr);
  ierr = HYPRE_SStructSysPFMGCreate(ex->hcomm,&ex->ss_solver);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
EXTERN_C_END