xref: /petsc/src/mat/impls/aij/mpi/pastix/pastix.c (revision 952ee8f4eced83631dada985b0088a4ff474626c)

/*
 Provides an interface to the PaStiX sparse solver
 */
#include <../src/mat/impls/aij/seq/aij.h>
#include <../src/mat/impls/aij/mpi/mpiaij.h>
#include <../src/mat/impls/sbaij/seq/sbaij.h>
#include <../src/mat/impls/sbaij/mpi/mpisbaij.h>

#if defined(PETSC_USE_COMPLEX) && defined(__cplusplus)
#define _H_COMPLEX
#endif

EXTERN_C_BEGIN
#include <pastix.h>
EXTERN_C_END

#if defined(PETSC_USE_COMPLEX)
#if defined(PETSC_USE_REAL_SINGLE)
#define PASTIX_CALL c_pastix
#define PASTIX_CHECKMATRIX c_pastix_checkMatrix
#define PastixScalar COMPLEX
#else
#define PASTIX_CALL z_pastix
#define PASTIX_CHECKMATRIX z_pastix_checkMatrix
#define PastixScalar DCOMPLEX
#endif

#else /* PETSC_USE_COMPLEX */

#if defined(PETSC_USE_REAL_SINGLE)
#define PASTIX_CALL s_pastix
#define PASTIX_CHECKMATRIX s_pastix_checkMatrix
#define PastixScalar float
#else
#define PASTIX_CALL d_pastix
#define PASTIX_CHECKMATRIX d_pastix_checkMatrix
#define PastixScalar double
#endif

#endif /* PETSC_USE_COMPLEX */

typedef struct Mat_Pastix_ {
  pastix_data_t *pastix_data;    /* Pastix data storage structure                        */
  MatStructure  matstruc;
  PetscInt      n;               /* Number of columns in the matrix                      */
  PetscInt      *colptr;         /* Index of first element of each column in row and val */
  PetscInt      *row;            /* Row of each element of the matrix                    */
  PetscScalar   *val;            /* Value of each element of the matrix                  */
  PetscInt      *perm;           /* Permutation tabular                                  */
  PetscInt      *invp;           /* Reverse permutation tabular                          */
  PetscScalar   *rhs;            /* Rhight-hand-side member                              */
  PetscInt      rhsnbr;          /* Rhight-hand-side number (must be 1)                  */
  PetscInt      iparm[64];       /* Integer parameters                                   */
  double        dparm[64];       /* Floating point parameters                            */
  MPI_Comm      pastix_comm;     /* PaStiX MPI communicator                              */
  PetscMPIInt   commRank;        /* MPI rank                                             */
  PetscMPIInt   commSize;        /* MPI communicator size                                */
  PetscBool     CleanUpPastix;   /* Boolean indicating if we call PaStiX clean step      */
  VecScatter    scat_rhs;
  VecScatter    scat_sol;
  Vec           b_seq;
  PetscBool     isAIJ;
  PetscErrorCode (*Destroy)(Mat);
} Mat_Pastix;

extern PetscErrorCode MatDuplicate_Pastix(Mat,MatDuplicateOption,Mat*);

#undef __FUNCT__
#define __FUNCT__ "MatConvertToCSC"
/*
   convert Petsc seqaij matrix to CSC: colptr[n], row[nz], val[nz]

  input:
    A       - matrix in seqaij or mpisbaij (bs=1) format
    valOnly - FALSE: spaces are allocated and values are set for the CSC
              TRUE:  Only fill values
  output:
    n       - Size of the matrix
    colptr  - Index of first element of each column in row and val
    row     - Row of each element of the matrix
    values  - Value of each element of the matrix
 */
PetscErrorCode MatConvertToCSC(Mat A,PetscBool valOnly,PetscInt *n,PetscInt **colptr,PetscInt **row,PetscScalar **values)
{
  Mat_SeqAIJ     *aa      = (Mat_SeqAIJ*)A->data;
  PetscInt       *rowptr  = aa->i;
  PetscInt       *col     = aa->j;
  PetscScalar    *rvalues = aa->a;
  PetscInt       m        = A->rmap->N;
  PetscInt       nnz;
  PetscInt       i,j, k;
  PetscInt       base = 1;
  PetscInt       idx;
  PetscErrorCode ierr;
  PetscInt       colidx;
  PetscInt       *colcount;
  PetscBool      isSBAIJ;
  PetscBool      isSeqSBAIJ;
  PetscBool      isMpiSBAIJ;
  PetscBool      isSym;
  PetscBool      flg;
  PetscInt       icntl;
  PetscInt       verb;
  PetscInt       check;

  PetscFunctionBegin;
  ierr = MatIsSymmetric(A,0.0,&isSym);CHKERRQ(ierr);
  ierr = PetscObjectTypeCompare((PetscObject)A,MATSBAIJ,&isSBAIJ);CHKERRQ(ierr);
  ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQSBAIJ,&isSeqSBAIJ);CHKERRQ(ierr);
  ierr = PetscObjectTypeCompare((PetscObject)A,MATMPISBAIJ,&isMpiSBAIJ);CHKERRQ(ierr);

  *n = A->cmap->N;

  /* PaStiX only needs triangular matrix if matrix is symmetric
   */
  if (isSym && !(isSBAIJ || isSeqSBAIJ || isMpiSBAIJ)) nnz = (aa->nz - *n)/2 + *n;
  else nnz = aa->nz;

  if (!valOnly) {
    ierr = PetscMalloc(((*n)+1) *sizeof(PetscInt)   ,colptr);CHKERRQ(ierr);
    ierr = PetscMalloc(nnz      *sizeof(PetscInt)   ,row);CHKERRQ(ierr);
    ierr = PetscMalloc1(nnz      ,values);CHKERRQ(ierr);

    if (isSBAIJ || isSeqSBAIJ || isMpiSBAIJ) {
      ierr = PetscMemcpy (*colptr, rowptr, ((*n)+1)*sizeof(PetscInt));CHKERRQ(ierr);
      for (i = 0; i < *n+1; i++) (*colptr)[i] += base;
      ierr = PetscMemcpy (*row, col, (nnz)*sizeof(PetscInt));CHKERRQ(ierr);
      for (i = 0; i < nnz; i++) (*row)[i] += base;
      ierr = PetscMemcpy (*values, rvalues, (nnz)*sizeof(PetscScalar));CHKERRQ(ierr);
    } else {
      ierr = PetscMalloc1((*n),&colcount);CHKERRQ(ierr);

      for (i = 0; i < m; i++) colcount[i] = 0;
      /* Fill-in colptr */
      for (i = 0; i < m; i++) {
        for (j = rowptr[i]; j < rowptr[i+1]; j++) {
          if (!isSym || col[j] <= i)  colcount[col[j]]++;
        }
      }

      (*colptr)[0] = base;
      for (j = 0; j < *n; j++) {
        (*colptr)[j+1] = (*colptr)[j] + colcount[j];
        /* in next loop we fill starting from (*colptr)[colidx] - base */
        colcount[j] = -base;
      }

      /* Fill-in rows and values */
      for (i = 0; i < m; i++) {
        for (j = rowptr[i]; j < rowptr[i+1]; j++) {
          if (!isSym || col[j] <= i) {
            colidx         = col[j];
            idx            = (*colptr)[colidx] + colcount[colidx];
            (*row)[idx]    = i + base;
            (*values)[idx] = rvalues[j];
            colcount[colidx]++;
          }
        }
      }
      ierr = PetscFree(colcount);CHKERRQ(ierr);
    }
  } else {
    /* Fill-in only values */
    for (i = 0; i < m; i++) {
      for (j = rowptr[i]; j < rowptr[i+1]; j++) {
        colidx = col[j];
        if ((isSBAIJ || isSeqSBAIJ || isMpiSBAIJ) ||!isSym || col[j] <= i) {
          /* look for the value to fill */
          for (k = (*colptr)[colidx] - base; k < (*colptr)[colidx + 1] - base; k++) {
            if (((*row)[k]-base) == i) {
              (*values)[k] = rvalues[j];
              break;
            }
          }
          /* data structure of sparse matrix has changed */
          if (k == (*colptr)[colidx + 1] - base) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"overflow on k %D",k);
        }
      }
    }
  }

  icntl =-1;
  check = 0;
  ierr  = PetscOptionsGetInt(((PetscObject) A)->prefix, "-mat_pastix_check", &icntl, &flg);CHKERRQ(ierr);
  if ((flg && icntl >= 0) || PetscLogPrintInfo) check =  icntl;

  if (check == 1) {
    PetscScalar *tmpvalues;
    PetscInt    *tmprows,*tmpcolptr;
    tmpvalues = (PetscScalar*)malloc(nnz*sizeof(PetscScalar));    if (!tmpvalues) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory");
    tmprows   = (PetscInt*)   malloc(nnz*sizeof(PetscInt));       if (!tmprows)   SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory");
    tmpcolptr = (PetscInt*)   malloc((*n+1)*sizeof(PetscInt));    if (!tmpcolptr) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MEM,"Unable to allocate memory");

    ierr = PetscMemcpy(tmpcolptr,*colptr,(*n+1)*sizeof(PetscInt));CHKERRQ(ierr);
    ierr = PetscMemcpy(tmprows,*row,nnz*sizeof(PetscInt));CHKERRQ(ierr);
    ierr = PetscMemcpy(tmpvalues,*values,nnz*sizeof(PetscScalar));CHKERRQ(ierr);
    ierr = PetscFree(*row);CHKERRQ(ierr);
    ierr = PetscFree(*values);CHKERRQ(ierr);

    icntl=-1;
    verb = API_VERBOSE_NOT;
    /* "iparm[IPARM_VERBOSE] : level of printing (0 to 2)" */
    ierr = PetscOptionsGetInt(((PetscObject) A)->prefix, "-mat_pastix_verbose", &icntl, &flg);CHKERRQ(ierr);
    if ((flg && icntl >= 0) || PetscLogPrintInfo) verb =  icntl;
    PASTIX_CHECKMATRIX(MPI_COMM_WORLD,verb,((isSym != 0) ? API_SYM_YES : API_SYM_NO),API_YES,*n,&tmpcolptr,&tmprows,(PastixScalar**)&tmpvalues,NULL,1);

    ierr = PetscMemcpy(*colptr,tmpcolptr,(*n+1)*sizeof(PetscInt));CHKERRQ(ierr);
    ierr = PetscMalloc1(((*colptr)[*n]-1),row);CHKERRQ(ierr);
    ierr = PetscMemcpy(*row,tmprows,((*colptr)[*n]-1)*sizeof(PetscInt));CHKERRQ(ierr);
    ierr = PetscMalloc1(((*colptr)[*n]-1),values);CHKERRQ(ierr);
    ierr = PetscMemcpy(*values,tmpvalues,((*colptr)[*n]-1)*sizeof(PetscScalar));CHKERRQ(ierr);
    free(tmpvalues);
    free(tmprows);
    free(tmpcolptr);

  }
  PetscFunctionReturn(0);
}



#undef __FUNCT__
#define __FUNCT__ "MatDestroy_Pastix"
/*
  Call clean step of PaStiX if lu->CleanUpPastix == true.
  Free the CSC matrix.
 */
PetscErrorCode MatDestroy_Pastix(Mat A)
{
  Mat_Pastix     *lu=(Mat_Pastix*)A->spptr;
  PetscErrorCode ierr;
  PetscMPIInt    size=lu->commSize;

  PetscFunctionBegin;
  if (lu && lu->CleanUpPastix) {
    /* Terminate instance, deallocate memories */
    if (size > 1) {
      ierr = VecScatterDestroy(&lu->scat_rhs);CHKERRQ(ierr);
      ierr = VecDestroy(&lu->b_seq);CHKERRQ(ierr);
      ierr = VecScatterDestroy(&lu->scat_sol);CHKERRQ(ierr);
    }

    lu->iparm[IPARM_START_TASK]=API_TASK_CLEAN;
    lu->iparm[IPARM_END_TASK]  =API_TASK_CLEAN;

    PASTIX_CALL(&(lu->pastix_data),
                lu->pastix_comm,
                lu->n,
                lu->colptr,
                lu->row,
                (PastixScalar*)lu->val,
                lu->perm,
                lu->invp,
                (PastixScalar*)lu->rhs,
                lu->rhsnbr,
                lu->iparm,
                lu->dparm);

    ierr = PetscFree(lu->colptr);CHKERRQ(ierr);
    ierr = PetscFree(lu->row);CHKERRQ(ierr);
    ierr = PetscFree(lu->val);CHKERRQ(ierr);
    ierr = PetscFree(lu->perm);CHKERRQ(ierr);
    ierr = PetscFree(lu->invp);CHKERRQ(ierr);
    ierr = MPI_Comm_free(&(lu->pastix_comm));CHKERRQ(ierr);
  }
  if (lu && lu->Destroy) {
    ierr = (lu->Destroy)(A);CHKERRQ(ierr);
  }
  ierr = PetscFree(A->spptr);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatSolve_PaStiX"
/*
  Gather right-hand-side.
  Call for Solve step.
  Scatter solution.
 */
PetscErrorCode MatSolve_PaStiX(Mat A,Vec b,Vec x)
{
  Mat_Pastix     *lu=(Mat_Pastix*)A->spptr;
  PetscScalar    *array;
  Vec            x_seq;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  lu->rhsnbr = 1;
  x_seq      = lu->b_seq;
  if (lu->commSize > 1) {
    /* PaStiX only supports centralized rhs. Scatter b into a seqential rhs vector */
    ierr = VecScatterBegin(lu->scat_rhs,b,x_seq,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
    ierr = VecScatterEnd(lu->scat_rhs,b,x_seq,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
    ierr = VecGetArray(x_seq,&array);CHKERRQ(ierr);
  } else {  /* size == 1 */
    ierr = VecCopy(b,x);CHKERRQ(ierr);
    ierr = VecGetArray(x,&array);CHKERRQ(ierr);
  }
  lu->rhs = array;
  if (lu->commSize == 1) {
    ierr = VecRestoreArray(x,&array);CHKERRQ(ierr);
  } else {
    ierr = VecRestoreArray(x_seq,&array);CHKERRQ(ierr);
  }

  /* solve phase */
  /*-------------*/
  lu->iparm[IPARM_START_TASK] = API_TASK_SOLVE;
  lu->iparm[IPARM_END_TASK]   = API_TASK_REFINE;
  lu->iparm[IPARM_RHS_MAKING] = API_RHS_B;

  PASTIX_CALL(&(lu->pastix_data),
              lu->pastix_comm,
              lu->n,
              lu->colptr,
              lu->row,
              (PastixScalar*)lu->val,
              lu->perm,
              lu->invp,
              (PastixScalar*)lu->rhs,
              lu->rhsnbr,
              lu->iparm,
              lu->dparm);

  if (lu->iparm[IPARM_ERROR_NUMBER] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error reported by PaStiX in solve phase: lu->iparm[IPARM_ERROR_NUMBER] = %d\n",lu->iparm[IPARM_ERROR_NUMBER]);

  if (lu->commSize == 1) {
    ierr = VecRestoreArray(x,&(lu->rhs));CHKERRQ(ierr);
  } else {
    ierr = VecRestoreArray(x_seq,&(lu->rhs));CHKERRQ(ierr);
  }

  if (lu->commSize > 1) { /* convert PaStiX centralized solution to petsc mpi x */
    ierr = VecScatterBegin(lu->scat_sol,x_seq,x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
    ierr = VecScatterEnd(lu->scat_sol,x_seq,x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

/*
  Numeric factorisation using PaStiX solver.

 */
#undef __FUNCT__
#define __FUNCT__ "MatFactorNumeric_PaStiX"
PetscErrorCode MatFactorNumeric_PaStiX(Mat F,Mat A,const MatFactorInfo *info)
{
  Mat_Pastix     *lu =(Mat_Pastix*)(F)->spptr;
  Mat            *tseq;
  PetscErrorCode ierr = 0;
  PetscInt       icntl;
  PetscInt       M=A->rmap->N;
  PetscBool      valOnly,flg, isSym;
  Mat            F_diag;
  IS             is_iden;
  Vec            b;
  IS             isrow;
  PetscBool      isSeqAIJ,isSeqSBAIJ,isMPIAIJ;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQAIJ,&isSeqAIJ);CHKERRQ(ierr);
  ierr = PetscObjectTypeCompare((PetscObject)A,MATMPIAIJ,&isMPIAIJ);CHKERRQ(ierr);
  ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQSBAIJ,&isSeqSBAIJ);CHKERRQ(ierr);
  if (lu->matstruc == DIFFERENT_NONZERO_PATTERN) {
    (F)->ops->solve = MatSolve_PaStiX;

    /* Initialize a PASTIX instance */
    ierr = MPI_Comm_dup(PetscObjectComm((PetscObject)A),&(lu->pastix_comm));CHKERRQ(ierr);
    ierr = MPI_Comm_rank(lu->pastix_comm, &lu->commRank);CHKERRQ(ierr);
    ierr = MPI_Comm_size(lu->pastix_comm, &lu->commSize);CHKERRQ(ierr);

    /* Set pastix options */
    lu->iparm[IPARM_MODIFY_PARAMETER] = API_NO;
    lu->iparm[IPARM_START_TASK]       = API_TASK_INIT;
    lu->iparm[IPARM_END_TASK]         = API_TASK_INIT;

    lu->rhsnbr = 1;

    /* Call to set default pastix options */
    PASTIX_CALL(&(lu->pastix_data),
                lu->pastix_comm,
                lu->n,
                lu->colptr,
                lu->row,
                (PastixScalar*)lu->val,
                lu->perm,
                lu->invp,
                (PastixScalar*)lu->rhs,
                lu->rhsnbr,
                lu->iparm,
                lu->dparm);

    ierr = PetscOptionsBegin(PetscObjectComm((PetscObject)A),((PetscObject)A)->prefix,"PaStiX Options","Mat");CHKERRQ(ierr);

    icntl = -1;

    lu->iparm[IPARM_VERBOSE] = API_VERBOSE_NOT;

    ierr = PetscOptionsInt("-mat_pastix_verbose","iparm[IPARM_VERBOSE] : level of printing (0 to 2)","None",lu->iparm[IPARM_VERBOSE],&icntl,&flg);CHKERRQ(ierr);
    if ((flg && icntl >= 0) || PetscLogPrintInfo) {
      lu->iparm[IPARM_VERBOSE] =  icntl;
    }
    icntl=-1;
    ierr = PetscOptionsInt("-mat_pastix_threadnbr","iparm[IPARM_THREAD_NBR] : Number of thread by MPI node","None",lu->iparm[IPARM_THREAD_NBR],&icntl,&flg);CHKERRQ(ierr);
    if ((flg && icntl > 0)) {
      lu->iparm[IPARM_THREAD_NBR] = icntl;
    }
    PetscOptionsEnd();
    valOnly = PETSC_FALSE;
  } else {
    if (isSeqAIJ || isMPIAIJ) {
      ierr    = PetscFree(lu->colptr);CHKERRQ(ierr);
      ierr    = PetscFree(lu->row);CHKERRQ(ierr);
      ierr    = PetscFree(lu->val);CHKERRQ(ierr);
      valOnly = PETSC_FALSE;
    } else valOnly = PETSC_TRUE;
  }

  lu->iparm[IPARM_MATRIX_VERIFICATION] = API_YES;

  /* convert mpi A to seq mat A */
  ierr = ISCreateStride(PETSC_COMM_SELF,M,0,1,&isrow);CHKERRQ(ierr);
  ierr = MatGetSubMatrices(A,1,&isrow,&isrow,MAT_INITIAL_MATRIX,&tseq);CHKERRQ(ierr);
  ierr = ISDestroy(&isrow);CHKERRQ(ierr);

  ierr = MatConvertToCSC(*tseq,valOnly, &lu->n, &lu->colptr, &lu->row, &lu->val);CHKERRQ(ierr);
  ierr = MatIsSymmetric(*tseq,0.0,&isSym);CHKERRQ(ierr);
  ierr = MatDestroyMatrices(1,&tseq);CHKERRQ(ierr);

  if (!lu->perm) {
    ierr = PetscMalloc1((lu->n),&(lu->perm));CHKERRQ(ierr);
    ierr = PetscMalloc1((lu->n),&(lu->invp));CHKERRQ(ierr);
  }

  if (isSym) {
    /* On symmetric matrix, LLT */
    lu->iparm[IPARM_SYM]           = API_SYM_YES;
    lu->iparm[IPARM_FACTORIZATION] = API_FACT_LDLT;
  } else {
    /* On unsymmetric matrix, LU */
    lu->iparm[IPARM_SYM]           = API_SYM_NO;
    lu->iparm[IPARM_FACTORIZATION] = API_FACT_LU;
  }

  /*----------------*/
  if (lu->matstruc == DIFFERENT_NONZERO_PATTERN) {
    if (!(isSeqAIJ || isSeqSBAIJ)) {
      /* PaStiX only supports centralized rhs. Create scatter scat_rhs for repeated use in MatSolve() */
      ierr = VecCreateSeq(PETSC_COMM_SELF,A->cmap->N,&lu->b_seq);CHKERRQ(ierr);
      ierr = ISCreateStride(PETSC_COMM_SELF,A->cmap->N,0,1,&is_iden);CHKERRQ(ierr);
      ierr = MatGetVecs(A,NULL,&b);CHKERRQ(ierr);
      ierr = VecScatterCreate(b,is_iden,lu->b_seq,is_iden,&lu->scat_rhs);CHKERRQ(ierr);
      ierr = VecScatterCreate(lu->b_seq,is_iden,b,is_iden,&lu->scat_sol);CHKERRQ(ierr);
      ierr = ISDestroy(&is_iden);CHKERRQ(ierr);
      ierr = VecDestroy(&b);CHKERRQ(ierr);
    }
    lu->iparm[IPARM_START_TASK] = API_TASK_ORDERING;
    lu->iparm[IPARM_END_TASK]   = API_TASK_NUMFACT;

    PASTIX_CALL(&(lu->pastix_data),
                lu->pastix_comm,
                lu->n,
                lu->colptr,
                lu->row,
                (PastixScalar*)lu->val,
                lu->perm,
                lu->invp,
                (PastixScalar*)lu->rhs,
                lu->rhsnbr,
                lu->iparm,
                lu->dparm);
    if (lu->iparm[IPARM_ERROR_NUMBER] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error reported by PaStiX in analysis phase: iparm(IPARM_ERROR_NUMBER)=%d\n",lu->iparm[IPARM_ERROR_NUMBER]);
  } else {
    lu->iparm[IPARM_START_TASK] = API_TASK_NUMFACT;
    lu->iparm[IPARM_END_TASK]   = API_TASK_NUMFACT;
    PASTIX_CALL(&(lu->pastix_data),
                lu->pastix_comm,
                lu->n,
                lu->colptr,
                lu->row,
                (PastixScalar*)lu->val,
                lu->perm,
                lu->invp,
                (PastixScalar*)lu->rhs,
                lu->rhsnbr,
                lu->iparm,
                lu->dparm);

    if (lu->iparm[IPARM_ERROR_NUMBER] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error reported by PaStiX in analysis phase: iparm(IPARM_ERROR_NUMBER)=%d\n",lu->iparm[IPARM_ERROR_NUMBER]);
  }

  if (lu->commSize > 1) {
    if ((F)->factortype == MAT_FACTOR_LU) {
      F_diag = ((Mat_MPIAIJ*)(F)->data)->A;
    } else {
      F_diag = ((Mat_MPISBAIJ*)(F)->data)->A;
    }
    F_diag->assembled = PETSC_TRUE;
  }
  (F)->assembled    = PETSC_TRUE;
  lu->matstruc      = SAME_NONZERO_PATTERN;
  lu->CleanUpPastix = PETSC_TRUE;
  PetscFunctionReturn(0);
}

/* Note the Petsc r and c permutations are ignored */
#undef __FUNCT__
#define __FUNCT__ "MatLUFactorSymbolic_AIJPASTIX"
PetscErrorCode MatLUFactorSymbolic_AIJPASTIX(Mat F,Mat A,IS r,IS c,const MatFactorInfo *info)
{
  Mat_Pastix *lu = (Mat_Pastix*)F->spptr;

  PetscFunctionBegin;
  lu->iparm[IPARM_FACTORIZATION] = API_FACT_LU;
  lu->iparm[IPARM_SYM]           = API_SYM_YES;
  lu->matstruc                   = DIFFERENT_NONZERO_PATTERN;
  F->ops->lufactornumeric        = MatFactorNumeric_PaStiX;
  PetscFunctionReturn(0);
}


/* Note the Petsc r permutation is ignored */
#undef __FUNCT__
#define __FUNCT__ "MatCholeskyFactorSymbolic_SBAIJPASTIX"
PetscErrorCode MatCholeskyFactorSymbolic_SBAIJPASTIX(Mat F,Mat A,IS r,const MatFactorInfo *info)
{
  Mat_Pastix *lu = (Mat_Pastix*)(F)->spptr;

  PetscFunctionBegin;
  lu->iparm[IPARM_FACTORIZATION]  = API_FACT_LLT;
  lu->iparm[IPARM_SYM]            = API_SYM_NO;
  lu->matstruc                    = DIFFERENT_NONZERO_PATTERN;
  (F)->ops->choleskyfactornumeric = MatFactorNumeric_PaStiX;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatView_PaStiX"
PetscErrorCode MatView_PaStiX(Mat A,PetscViewer viewer)
{
  PetscErrorCode    ierr;
  PetscBool         iascii;
  PetscViewerFormat format;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr);
    if (format == PETSC_VIEWER_ASCII_INFO) {
      Mat_Pastix *lu=(Mat_Pastix*)A->spptr;

      ierr = PetscViewerASCIIPrintf(viewer,"PaStiX run parameters:\n");CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"  Matrix type :                      %s \n",((lu->iparm[IPARM_SYM] == API_SYM_YES) ? "Symmetric" : "Unsymmetric"));CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"  Level of printing (0,1,2):         %d \n",lu->iparm[IPARM_VERBOSE]);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"  Number of refinements iterations : %d \n",lu->iparm[IPARM_NBITER]);CHKERRQ(ierr);
      ierr = PetscPrintf(PETSC_COMM_SELF,"  Error :                        %g \n",lu->dparm[DPARM_RELATIVE_ERROR]);CHKERRQ(ierr);
    }
  }
  PetscFunctionReturn(0);
}


/*MC
     MATSOLVERPASTIX  - A solver package providing direct solvers (LU) for distributed
  and sequential matrices via the external package PaStiX.

  Use ./configure --download-pastix to have PETSc installed with PaStiX

  Options Database Keys:
+ -mat_pastix_verbose   <0,1,2>   - print level
- -mat_pastix_threadnbr <integer> - Set the thread number by MPI task.

  Level: beginner

.seealso: PCFactorSetMatSolverPackage(), MatSolverPackage

M*/


#undef __FUNCT__
#define __FUNCT__ "MatGetInfo_PaStiX"
PetscErrorCode MatGetInfo_PaStiX(Mat A,MatInfoType flag,MatInfo *info)
{
  Mat_Pastix *lu =(Mat_Pastix*)A->spptr;

  PetscFunctionBegin;
  info->block_size        = 1.0;
  info->nz_allocated      = lu->iparm[IPARM_NNZEROS];
  info->nz_used           = lu->iparm[IPARM_NNZEROS];
  info->nz_unneeded       = 0.0;
  info->assemblies        = 0.0;
  info->mallocs           = 0.0;
  info->memory            = 0.0;
  info->fill_ratio_given  = 0;
  info->fill_ratio_needed = 0;
  info->factor_mallocs    = 0;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatFactorGetSolverPackage_pastix"
PetscErrorCode MatFactorGetSolverPackage_pastix(Mat A,const MatSolverPackage *type)
{
  PetscFunctionBegin;
  *type = MATSOLVERPASTIX;
  PetscFunctionReturn(0);
}

/*
    The seq and mpi versions of this function are the same
*/
#undef __FUNCT__
#define __FUNCT__ "MatGetFactor_seqaij_pastix"
PETSC_EXTERN PetscErrorCode MatGetFactor_seqaij_pastix(Mat A,MatFactorType ftype,Mat *F)
{
  Mat            B;
  PetscErrorCode ierr;
  Mat_Pastix     *pastix;

  PetscFunctionBegin;
  if (ftype != MAT_FACTOR_LU) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot use PETSc AIJ matrices with PaStiX Cholesky, use SBAIJ matrix");
  /* Create the factorization matrix */
  ierr = MatCreate(PetscObjectComm((PetscObject)A),&B);CHKERRQ(ierr);
  ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr);
  ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr);
  ierr = MatSeqAIJSetPreallocation(B,0,NULL);CHKERRQ(ierr);

  B->ops->lufactorsymbolic = MatLUFactorSymbolic_AIJPASTIX;
  B->ops->view             = MatView_PaStiX;
  B->ops->getinfo          = MatGetInfo_PaStiX;

  ierr = PetscObjectComposeFunction((PetscObject)B,"MatFactorGetSolverPackage_C",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr);

  B->factortype = MAT_FACTOR_LU;

  ierr = PetscNewLog(B,&pastix);CHKERRQ(ierr);

  pastix->CleanUpPastix = PETSC_FALSE;
  pastix->isAIJ         = PETSC_TRUE;
  pastix->scat_rhs      = NULL;
  pastix->scat_sol      = NULL;
  pastix->Destroy       = B->ops->destroy;
  B->ops->destroy       = MatDestroy_Pastix;
  B->spptr              = (void*)pastix;

  *F = B;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetFactor_mpiaij_pastix"
PETSC_EXTERN PetscErrorCode MatGetFactor_mpiaij_pastix(Mat A,MatFactorType ftype,Mat *F)
{
  Mat            B;
  PetscErrorCode ierr;
  Mat_Pastix     *pastix;

  PetscFunctionBegin;
  if (ftype != MAT_FACTOR_LU) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot use PETSc AIJ matrices with PaStiX Cholesky, use SBAIJ matrix");
  /* Create the factorization matrix */
  ierr = MatCreate(PetscObjectComm((PetscObject)A),&B);CHKERRQ(ierr);
  ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr);
  ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr);
  ierr = MatSeqAIJSetPreallocation(B,0,NULL);CHKERRQ(ierr);
  ierr = MatMPIAIJSetPreallocation(B,0,NULL,0,NULL);CHKERRQ(ierr);

  B->ops->lufactorsymbolic = MatLUFactorSymbolic_AIJPASTIX;
  B->ops->view             = MatView_PaStiX;

  ierr = PetscObjectComposeFunction((PetscObject)B,"MatFactorGetSolverPackage_C",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr);

  B->factortype = MAT_FACTOR_LU;

  ierr = PetscNewLog(B,&pastix);CHKERRQ(ierr);

  pastix->CleanUpPastix = PETSC_FALSE;
  pastix->isAIJ         = PETSC_TRUE;
  pastix->scat_rhs      = NULL;
  pastix->scat_sol      = NULL;
  pastix->Destroy       = B->ops->destroy;
  B->ops->destroy       = MatDestroy_Pastix;
  B->spptr              = (void*)pastix;

  *F = B;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetFactor_seqsbaij_pastix"
PETSC_EXTERN PetscErrorCode MatGetFactor_seqsbaij_pastix(Mat A,MatFactorType ftype,Mat *F)
{
  Mat            B;
  PetscErrorCode ierr;
  Mat_Pastix     *pastix;

  PetscFunctionBegin;
  if (ftype != MAT_FACTOR_CHOLESKY) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot use PETSc SBAIJ matrices with PaStiX LU, use AIJ matrix");
  /* Create the factorization matrix */
  ierr = MatCreate(PetscObjectComm((PetscObject)A),&B);CHKERRQ(ierr);
  ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr);
  ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr);
  ierr = MatSeqSBAIJSetPreallocation(B,1,0,NULL);CHKERRQ(ierr);
  ierr = MatMPISBAIJSetPreallocation(B,1,0,NULL,0,NULL);CHKERRQ(ierr);

  B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SBAIJPASTIX;
  B->ops->view                   = MatView_PaStiX;

  ierr = PetscObjectComposeFunction((PetscObject)B,"MatFactorGetSolverPackage_C",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr);

  B->factortype = MAT_FACTOR_CHOLESKY;

  ierr = PetscNewLog(B,&pastix);CHKERRQ(ierr);

  pastix->CleanUpPastix = PETSC_FALSE;
  pastix->isAIJ         = PETSC_TRUE;
  pastix->scat_rhs      = NULL;
  pastix->scat_sol      = NULL;
  pastix->Destroy       = B->ops->destroy;
  B->ops->destroy       = MatDestroy_Pastix;
  B->spptr              = (void*)pastix;

  *F = B;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetFactor_mpisbaij_pastix"
PETSC_EXTERN PetscErrorCode MatGetFactor_mpisbaij_pastix(Mat A,MatFactorType ftype,Mat *F)
{
  Mat            B;
  PetscErrorCode ierr;
  Mat_Pastix     *pastix;

  PetscFunctionBegin;
  if (ftype != MAT_FACTOR_CHOLESKY) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot use PETSc SBAIJ matrices with PaStiX LU, use AIJ matrix");

  /* Create the factorization matrix */
  ierr = MatCreate(PetscObjectComm((PetscObject)A),&B);CHKERRQ(ierr);
  ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr);
  ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr);
  ierr = MatSeqSBAIJSetPreallocation(B,1,0,NULL);CHKERRQ(ierr);
  ierr = MatMPISBAIJSetPreallocation(B,1,0,NULL,0,NULL);CHKERRQ(ierr);

  B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SBAIJPASTIX;
  B->ops->view                   = MatView_PaStiX;

  ierr = PetscObjectComposeFunction((PetscObject)B,"MatFactorGetSolverPackage_C",MatFactorGetSolverPackage_pastix);CHKERRQ(ierr);

  B->factortype = MAT_FACTOR_CHOLESKY;

  ierr = PetscNewLog(B,&pastix);CHKERRQ(ierr);

  pastix->CleanUpPastix = PETSC_FALSE;
  pastix->isAIJ         = PETSC_TRUE;
  pastix->scat_rhs      = NULL;
  pastix->scat_sol      = NULL;
  pastix->Destroy       = B->ops->destroy;
  B->ops->destroy       = MatDestroy_Pastix;
  B->spptr              = (void*)pastix;

  *F = B;
  PetscFunctionReturn(0);
}