amg4psblas/mlprec/mld_dsub_solve.f90

!!$
!!$ 
!!$                                MLD2P4
!!$  MultiLevel Domain Decomposition Parallel Preconditioners Package
!!$             based on PSBLAS (Parallel Sparse BLAS v.2.0)
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!!$  (C) Copyright 2007  Alfredo Buttari      University of Rome Tor Vergata
!!$                      Pasqua D'Ambra       ICAR-CNR, Naples
!!$                      Daniela di Serafino  Second University of Naples
!!$                      Salvatore Filippone  University of Rome Tor Vergata
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! File mld_dsub_solve.f90
!
! Subroutine: mld_dsub_solve
! Version: real 
!
!  This routine computes
!
!                       Y = beta*Y + alpha*op(K^(-1))*X,
!
!  where
!  - K is a factored  matrix, as specified below,
!  - op(K^(-1)) is K^(-1) or its transpose, according to the value of trans,
!  - X and Y are vectors,
!  - alpha and beta are scalars.
!
!
!  1. Solution of a linear system with sparse factors LU generated by means
!     of an incomplete factorization approximating 
!
!                                    A*Y = X,
!     In this case the factors of A are either distributed (in which case
!     they are also block-diagonal) or replicated. 
!
!  2. Solution of a linear system with sparse factors LU generated by means
!     of an complete factorization 
!
!                                    A*Y = X,
!
!     computed with the aid of an auxiliary sparse package such as                 
!     a. UMFPACK
!     b. SuperLU
!     c. SuperLU_Dist
!     In cases a. and b. the matrix A and its factors are either distributed
!     and block diagonal or replicated; in case c. the matrix A and its
!     factors are distributed.
!
!
! Arguments:
!
!   alpha      -  real(kind(0.d0)), input.
!                 The scalar alpha.
!   prec       -  type(mld_dbaseprec_type), input.
!                 The 'base preconditioner' data structure containing the local 
!                 part of the preconditioner or solver.
!   x          -  real(kind(0.d0)), dimension(:), input.
!                 The local part of the vector X.
!   beta       -  real(kind(0.d0)), input.
!                 The scalar beta.
!   y          -  real(kind(0.d0)), dimension(:), input/output.
!                 The local part of the vector Y.
!   desc_data  -  type(psb_desc_type), input.
!                 The communication descriptor associated to the matrix to be
!                 preconditioned or 'inverted'.
!   trans      -  character(len=1), input.
!                 If trans='N','n' then op(K^(-1)) = K^(-1);
!                 if trans='T','t' then op(K^(-1)) = K^(-T) (transpose of K^(-1)).
!                 If prec%iprcparm(smooth_sweeps_) > 1, the value of trans provided
!                 in input is ignored.
!   work       -  real(kind(0.d0)), dimension (:), target.
!                 Workspace. Its size must be at least 4*psb_cd_get_local_cols(desc_data).
!   info       -  integer, output.
!                 Error code.
!  
subroutine mld_dsub_solve(alpha,prec,x,beta,y,desc_data,trans,work,info)

  use psb_base_mod
  use mld_prec_mod, mld_protect_name => mld_dsub_solve

  implicit none 

  ! Arguments
  type(psb_desc_type), intent(in)        :: desc_data
  type(mld_dbaseprc_type), intent(in)    :: prec
  real(kind(0.d0)),intent(in)            :: x(:)
  real(kind(0.d0)),intent(inout)         :: y(:)
  real(kind(0.d0)),intent(in)            :: alpha,beta
  character(len=1),intent(in)            :: trans
  real(kind(0.d0)),target, intent(inout) :: work(:)
  integer, intent(out)                   :: info

  ! Local variables
  integer :: n_row,n_col
  real(kind(1.d0)), pointer :: ww(:), aux(:), tx(:),ty(:)
  integer :: ictxt,np,me,i, err_act
  character(len=20)   :: name
  character           :: trans_

  interface 
    subroutine mld_dumf_solve(flag,m,x,b,n,ptr,info)
      integer, intent(in)  :: flag,m,n,ptr
      integer, intent(out) :: info
      real(kind(1.d0)), intent(in)    :: b(*)
      real(kind(1.d0)), intent(inout) :: x(*)
    end subroutine mld_dumf_solve
  end interface

  name='mld_dsub_solve'
  info = 0
  call psb_erractionsave(err_act)

  ictxt=psb_cd_get_context(desc_data)
  call psb_info(ictxt, me, np)

  trans_ = toupper(trans)
  select case(trans_)
  case('N')
  case('T','C')
  case default
    call psb_errpush(40,name)
    goto 9999
  end select


  n_row = psb_cd_get_local_rows(desc_data)
  n_col = psb_cd_get_local_cols(desc_data)

  if (n_col <= size(work)) then 
    ww => work(1:n_col)
    if ((4*n_col+n_col) <= size(work)) then 
      aux => work(n_col+1:)
    else
      allocate(aux(4*n_col),stat=info)
      if (info /= 0) then 
        info=4025
        call psb_errpush(info,name,i_err=(/4*n_col,0,0,0,0/),&
             & a_err='real(kind(1.d0))')
        goto 9999      
      end if
    endif
  else
    allocate(ww(n_col),aux(4*n_col),stat=info)
    if (info /= 0) then 
      info=4025
      call psb_errpush(info,name,i_err=(/5*n_col,0,0,0,0/),&
           & a_err='real(kind(1.d0))')
      goto 9999      
    end if
  endif


  select case(prec%iprcparm(mld_sub_solve_))
  case(mld_ilu_n_,mld_milu_n_,mld_ilu_t_) 
    !
    ! Apply a block-Jacobi preconditioner with ILU(k)/MILU(k)/ILU(k,t)
    ! factorization of the blocks (distributed matrix) or approximately
    ! solve a system through ILU(k)/MILU(k)/ILU(k,t) (replicated matrix).
    ! 

    select case(trans_)
    case('N')

      call psb_spsm(done,prec%av(mld_l_pr_),x,dzero,ww,desc_data,info,&
           & trans=trans_,unit='L',diag=prec%d,choice=psb_none_,work=aux)
      if (info == 0) call psb_spsm(alpha,prec%av(mld_u_pr_),ww,beta,y,desc_data,info,&
           & trans=trans_,unit='U',choice=psb_none_, work=aux)

    case('T','C')
      call psb_spsm(done,prec%av(mld_u_pr_),x,dzero,ww,desc_data,info,&
           & trans=trans_,unit='L',diag=prec%d,choice=psb_none_,work=aux)
      if (info == 0) call psb_spsm(alpha,prec%av(mld_l_pr_),ww,beta,y,desc_data,info,&
           & trans=trans_,unit='U',choice=psb_none_,work=aux)
    case default
      call psb_errpush(4001,name,a_err='Invalid TRANS in ILU subsolve')
      goto 9999
    end select

  case(mld_slu_)
    !
    ! Apply a block-Jacobi preconditioner with LU factorization of the
    ! blocks (distributed matrix) or approximately solve a local linear
    ! system through LU (replicated matrix). The SuperLU package is used 
    ! to apply the LU factorization in both cases.
    !

    ww(1:n_row) = x(1:n_row)

    select case(trans_)
    case('N')
      call mld_dslu_solve(0,n_row,1,ww,n_row,prec%iprcparm(mld_slu_ptr_),info)
    case('T','C')
      call mld_dslu_solve(1,n_row,1,ww,n_row,prec%iprcparm(mld_slu_ptr_),info)
    case default 
      call psb_errpush(4001,name,a_err='Invalid TRANS in SLU subsolve')
      goto 9999
    end select

    if (info ==0) call psb_geaxpby(alpha,ww,beta,y,desc_data,info)

  case(mld_sludist_)
    !
    ! Solve a distributed linear system with the LU factorization.
    ! The SuperLU_DIST package is used.
    !

    ww(1:n_row) = x(1:n_row)

    select case(trans_)
    case('N')
      call mld_dsludist_solve(0,n_row,1,ww,n_row,prec%iprcparm(mld_slud_ptr_),info)
    case('T','C')
      call mld_dsludist_solve(1,n_row,1,ww,n_row,prec%iprcparm(mld_slud_ptr_),info)
    case default 
      call psb_errpush(4001,name,a_err='Invalid TRANS in SLUDist subsolve')
      goto 9999
    end select

    if (info == 0) call psb_geaxpby(alpha,ww,beta,y,desc_data,info)

  case (mld_umf_) 
    !
    ! Apply a block-Jacobi preconditioner with LU factorization of the
    ! blocks (distributed matrix) or approximately solve a local linear
    ! system through LU (replicated matrix). The UMFPACK package is used 
    ! to apply the LU factorization in both cases.
    !

    select case(trans_)
    case('N')
      call mld_dumf_solve(0,n_row,ww,x,n_row,prec%iprcparm(mld_umf_numptr_),info)
    case('T','C')
      call mld_dumf_solve(1,n_row,ww,x,n_row,prec%iprcparm(mld_umf_numptr_),info)
    case default 
      call psb_errpush(4001,name,a_err='Invalid TRANS in UMF subsolve')
      goto 9999
    end select

    if (info == 0) call psb_geaxpby(alpha,ww,beta,y,desc_data,info)

  case default
    call psb_errpush(4001,name,a_err='Invalid mld_sub_solve_')
    goto 9999

  end select

  if (info /= 0) then
    call psb_errpush(4001,name,a_err='Error in subsolve')
    goto 9999
  endif

  if (n_col <= size(work)) then 
    if ((4*n_col+n_col) <= size(work)) then 
    else
      deallocate(aux)
    endif
  else
    deallocate(ww,aux)
  endif

  call psb_erractionrestore(err_act)
  return

9999 continue

  call psb_erractionrestore(err_act)
  if (err_act.eq.psb_act_abort_) then
    call psb_error()
    return
  end if
  return

end subroutine mld_dsub_solve