Actual source code: ex6f.F90

      1: !
      2: !  Description: This example demonstrates repeated linear solves as
      3: !  well as the use of different preconditioner and linear system
      4: !  matrices.  This example also illustrates how to save PETSc objects
      5: !  in common blocks.
      6: !
      7: !/*T
      8: !  Concepts: KSP^repeatedly solving linear systems;
      9: !  Concepts: KSP^different matrices for linear system and preconditioner;
     10: !  Processors: n
     11: !T*/
     12: !

     14:       program main
     15: #include <petsc/finclude/petscksp.h>
     16:       use petscksp
     17:       implicit none

     19: !  Variables:
     20: !
     21: !  A       - matrix that defines linear system
     22: !  ksp    - KSP context
     23: !  ksp     - KSP context
     24: !  x, b, u - approx solution, RHS, exact solution vectors
     25: !
     26:       Vec     x,u,b
     27:       Mat     A,A2
     28:       KSP    ksp
     29:       PetscInt i,j,II,JJ,m,n
     30:       PetscInt Istart,Iend
     31:       PetscInt nsteps,one
     32:       PetscErrorCode ierr
     33:       PetscBool  flg
     34:       PetscScalar  v

     37:       call PetscInitialize(PETSC_NULL_CHARACTER,ierr)
     38:       if (ierr .ne. 0) then
     39:         print*,'Unable to initialize PETSc'
     40:         stop
     41:       endif
     42:       m      = 3
     43:       n      = 3
     44:       nsteps = 2
     45:       one    = 1
     46:       call PetscOptionsGetInt(PETSC_NULL_OPTIONS,PETSC_NULL_CHARACTER,'-m',m,flg,ierr)
     47:       call PetscOptionsGetInt(PETSC_NULL_OPTIONS,PETSC_NULL_CHARACTER,'-n',n,flg,ierr)
     48:       call PetscOptionsGetInt(PETSC_NULL_OPTIONS,PETSC_NULL_CHARACTER,'-nsteps',nsteps,flg,ierr)

     50: !  Create parallel matrix, specifying only its global dimensions.
     51: !  When using MatCreate(), the matrix format can be specified at
     52: !  runtime. Also, the parallel partitioning of the matrix is
     53: !  determined by PETSc at runtime.

     55:       call MatCreate(PETSC_COMM_WORLD,A,ierr)
     56:       call MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,m*n,m*n,ierr)
     57:       call MatSetFromOptions(A,ierr)
     58:       call MatSetUp(A,ierr)

     60: !  The matrix is partitioned by contiguous chunks of rows across the
     61: !  processors.  Determine which rows of the matrix are locally owned.

     63:       call MatGetOwnershipRange(A,Istart,Iend,ierr)

     65: !  Set matrix elements.
     66: !   - Each processor needs to insert only elements that it owns
     67: !     locally (but any non-local elements will be sent to the
     68: !     appropriate processor during matrix assembly).
     69: !   - Always specify global rows and columns of matrix entries.

     71:       do 10, II=Istart,Iend-1
     72:         v = -1.0
     73:         i = II/n
     74:         j = II - i*n
     75:         if (i.gt.0) then
     76:           JJ = II - n
     77:           call MatSetValues(A,one,II,one,JJ,v,ADD_VALUES,ierr)
     78:         endif
     79:         if (i.lt.m-1) then
     80:           JJ = II + n
     81:           call MatSetValues(A,one,II,one,JJ,v,ADD_VALUES,ierr)
     82:         endif
     83:         if (j.gt.0) then
     84:           JJ = II - 1
     85:           call MatSetValues(A,one,II,one,JJ,v,ADD_VALUES,ierr)
     86:         endif
     87:         if (j.lt.n-1) then
     88:           JJ = II + 1
     89:           call MatSetValues(A,one,II,one,JJ,v,ADD_VALUES,ierr)
     90:         endif
     91:         v = 4.0
     92:         call  MatSetValues(A,one,II,one,II,v,ADD_VALUES,ierr)
     93:  10   continue

     95: !  Assemble matrix, using the 2-step process:
     96: !       MatAssemblyBegin(), MatAssemblyEnd()
     97: !  Computations can be done while messages are in transition
     98: !  by placing code between these two statements.

    100:       call MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY,ierr)
    101:       call MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY,ierr)

    103: !  Create parallel vectors.
    104: !   - When using VecCreate(), the parallel partitioning of the vector
    105: !     is determined by PETSc at runtime.
    106: !   - Note: We form 1 vector from scratch and then duplicate as needed.

    108:       call VecCreate(PETSC_COMM_WORLD,u,ierr)
    109:       call VecSetSizes(u,PETSC_DECIDE,m*n,ierr)
    110:       call VecSetFromOptions(u,ierr)
    111:       call VecDuplicate(u,b,ierr)
    112:       call VecDuplicate(b,x,ierr)

    114: !  Create linear solver context

    116:       call KSPCreate(PETSC_COMM_WORLD,ksp,ierr)

    118: !  Set runtime options (e.g., -ksp_type <type> -pc_type <type>)

    120:       call KSPSetFromOptions(ksp,ierr)

    122: !  Solve several linear systems in succession

    124:       do 100 i=1,nsteps
    125:          call solve1(ksp,A,x,b,u,i,nsteps,A2,ierr)
    126:  100  continue

    128: !  Free work space.  All PETSc objects should be destroyed when they
    129: !  are no longer needed.

    131:       call VecDestroy(u,ierr)
    132:       call VecDestroy(x,ierr)
    133:       call VecDestroy(b,ierr)
    134:       call MatDestroy(A,ierr)
    135:       call KSPDestroy(ksp,ierr)

    137:       call PetscFinalize(ierr)
    138:       end

    140: ! -----------------------------------------------------------------------
    141: !
    142:       subroutine solve1(ksp,A,x,b,u,count,nsteps,A2,ierr)
    143:       use petscksp
    144:       implicit none

    146: !
    147: !   solve1 - This routine is used for repeated linear system solves.
    148: !   We update the linear system matrix each time, but retain the same
    149: !   preconditioning matrix for all linear solves.
    150: !
    151: !      A - linear system matrix
    152: !      A2 - preconditioning matrix
    153: !
    154:       PetscScalar  v,val
    155:       PetscInt II,Istart,Iend
    156:       PetscInt count,nsteps,one
    157:       PetscErrorCode ierr
    158:       Mat     A
    159:       KSP     ksp
    160:       Vec     x,b,u

    162: ! Use common block to retain matrix between successive subroutine calls
    163:       Mat              A2
    164:       PetscMPIInt      rank
    165:       PetscBool        pflag
    166:       common /my_data/ pflag,rank

    168:       one = 1
    169: ! First time thorough: Create new matrix to define the linear system
    170:       if (count .eq. 1) then
    171:         call MPI_Comm_rank(PETSC_COMM_WORLD,rank,ierr)
    172:         pflag = .false.
    173:         call PetscOptionsHasName(PETSC_NULL_OPTIONS,PETSC_NULL_CHARACTER,'-mat_view',pflag,ierr)
    174:         if (pflag) then
    175:           if (rank .eq. 0) write(6,100)
    176:           call PetscFlush(6)
    177:         endif
    178:         call MatConvert(A,MATSAME,MAT_INITIAL_MATRIX,A2,ierr)
    179: ! All other times: Set previous solution as initial guess for next solve.
    180:       else
    181:         call KSPSetInitialGuessNonzero(ksp,PETSC_TRUE,ierr)
    182:       endif

    184: ! Alter the matrix A a bit
    185:       call MatGetOwnershipRange(A,Istart,Iend,ierr)
    186:       do 20, II=Istart,Iend-1
    187:         v = 2.0
    188:         call MatSetValues(A,one,II,one,II,v,ADD_VALUES,ierr)
    189:  20   continue
    190:       call MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY,ierr)
    191:       if (pflag) then
    192:         if (rank .eq. 0) write(6,110)
    193:         call PetscFlush(6)
    194:       endif
    195:       call MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY,ierr)

    197: ! Set the exact solution; compute the right-hand-side vector
    198:       val = 1.0*real(count)
    199:       call VecSet(u,val,ierr)
    200:       call MatMult(A,u,b,ierr)

    202: ! Set operators, keeping the identical preconditioner matrix for
    203: ! all linear solves.  This approach is often effective when the
    204: ! linear systems do not change very much between successive steps.
    205:       call KSPSetReusePreconditioner(ksp,PETSC_TRUE,ierr)
    206:       call KSPSetOperators(ksp,A,A2,ierr)

    208: ! Solve linear system
    209:       call KSPSolve(ksp,b,x,ierr)

    211: ! Destroy the preconditioner matrix on the last time through
    212:       if (count .eq. nsteps) call MatDestroy(A2,ierr)

    214:  100  format('previous matrix: preconditioning')
    215:  110  format('next matrix: defines linear system')

    217:       end

    220: !/*TEST
    221: !
    222: !   test:
    223: !      args: -pc_type jacobi -mat_view -ksp_monitor_short -ksp_gmres_cgs_refinement_type refine_always
    224: !
    225: !TEST*/