Exemple #1
0
PETSC_EXTERN void PETSC_STDCALL  pcmgsetcyclesonlevel_(PC pc,PetscInt *l,PetscInt *c, int *__ierr ){
*__ierr = PCMGSetCyclesOnLevel(
	(PC)PetscToPointer((pc) ),*l,*c);
}
Exemple #2
0
int main(int Argc,char **Args)
{
  PetscInt       x_mesh = 15,levels = 3,cycles = 1,use_jacobi = 0;
  PetscInt       i,smooths = 1,*N,its;
  PetscErrorCode ierr;
  PCMGType       am = PC_MG_MULTIPLICATIVE;
  Mat            cmat,mat[20],fmat;
  KSP            cksp,ksp[20],kspmg;
  PetscReal      e[3];  /* l_2 error,max error, residual */
  const char     *shellname;
  Vec            x,solution,X[20],R[20],B[20];
  PC             pcmg,pc;
  PetscBool      flg;

  PetscInitialize(&Argc,&Args,(char*)0,help);

  ierr = PetscOptionsGetInt(NULL,"-x",&x_mesh,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,"-l",&levels,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,"-c",&cycles,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsGetInt(NULL,"-smooths",&smooths,NULL);CHKERRQ(ierr);
  ierr = PetscOptionsHasName(NULL,"-a",&flg);CHKERRQ(ierr);

  if (flg) am = PC_MG_ADDITIVE;
  ierr = PetscOptionsHasName(NULL,"-f",&flg);CHKERRQ(ierr);
  if (flg) am = PC_MG_FULL;
  ierr = PetscOptionsHasName(NULL,"-j",&flg);CHKERRQ(ierr);
  if (flg) use_jacobi = 1;

  ierr = PetscMalloc1(levels,&N);CHKERRQ(ierr);
  N[0] = x_mesh;
  for (i=1; i<levels; i++) {
    N[i] = N[i-1]/2;
    if (N[i] < 1) SETERRQ(PETSC_COMM_WORLD,1,"Too many levels");
  }

  ierr = Create1dLaplacian(N[levels-1],&cmat);CHKERRQ(ierr);

  ierr = KSPCreate(PETSC_COMM_WORLD,&kspmg);CHKERRQ(ierr);
  ierr = KSPGetPC(kspmg,&pcmg);CHKERRQ(ierr);
  ierr = KSPSetFromOptions(kspmg);CHKERRQ(ierr);
  ierr = PCSetType(pcmg,PCMG);CHKERRQ(ierr);
  ierr = PCMGSetLevels(pcmg,levels,NULL);CHKERRQ(ierr);
  ierr = PCMGSetType(pcmg,am);CHKERRQ(ierr);

  ierr = PCMGGetCoarseSolve(pcmg,&cksp);CHKERRQ(ierr);
  ierr = KSPSetOperators(cksp,cmat,cmat);CHKERRQ(ierr);
  ierr = KSPGetPC(cksp,&pc);CHKERRQ(ierr);
  ierr = PCSetType(pc,PCLU);CHKERRQ(ierr);
  ierr = KSPSetType(cksp,KSPPREONLY);CHKERRQ(ierr);

  /* zero is finest level */
  for (i=0; i<levels-1; i++) {
    ierr = PCMGSetResidual(pcmg,levels - 1 - i,residual,(Mat)0);CHKERRQ(ierr);
    ierr = MatCreateShell(PETSC_COMM_WORLD,N[i+1],N[i],N[i+1],N[i],(void*)0,&mat[i]);CHKERRQ(ierr);
    ierr = MatShellSetOperation(mat[i],MATOP_MULT,(void (*)(void))restrct);CHKERRQ(ierr);
    ierr = MatShellSetOperation(mat[i],MATOP_MULT_TRANSPOSE_ADD,(void (*)(void))interpolate);CHKERRQ(ierr);
    ierr = PCMGSetInterpolation(pcmg,levels - 1 - i,mat[i]);CHKERRQ(ierr);
    ierr = PCMGSetRestriction(pcmg,levels - 1 - i,mat[i]);CHKERRQ(ierr);
    ierr = PCMGSetCyclesOnLevel(pcmg,levels - 1 - i,cycles);CHKERRQ(ierr);

    /* set smoother */
    ierr = PCMGGetSmoother(pcmg,levels - 1 - i,&ksp[i]);CHKERRQ(ierr);
    ierr = KSPGetPC(ksp[i],&pc);CHKERRQ(ierr);
    ierr = PCSetType(pc,PCSHELL);CHKERRQ(ierr);
    ierr = PCShellSetName(pc,"user_precond");CHKERRQ(ierr);
    ierr = PCShellGetName(pc,&shellname);CHKERRQ(ierr);
    ierr = PetscPrintf(PETSC_COMM_WORLD,"level=%D, PCShell name is %s\n",i,shellname);CHKERRQ(ierr);

    /* this is a dummy! since KSP requires a matrix passed in  */
    ierr = KSPSetOperators(ksp[i],mat[i],mat[i]);CHKERRQ(ierr);
    /*
        We override the matrix passed in by forcing it to use Richardson with
        a user provided application. This is non-standard and this practice
        should be avoided.
    */
    ierr = PCShellSetApplyRichardson(pc,gauss_seidel);CHKERRQ(ierr);
    if (use_jacobi) {
      ierr = PCShellSetApplyRichardson(pc,jacobi);CHKERRQ(ierr);
    }
    ierr = KSPSetType(ksp[i],KSPRICHARDSON);CHKERRQ(ierr);
    ierr = KSPSetInitialGuessNonzero(ksp[i],PETSC_TRUE);CHKERRQ(ierr);
    ierr = KSPSetTolerances(ksp[i],PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT,smooths);CHKERRQ(ierr);

    ierr = VecCreateSeq(PETSC_COMM_SELF,N[i],&x);CHKERRQ(ierr);

    X[levels - 1 - i] = x;
    if (i > 0) {
      ierr = PCMGSetX(pcmg,levels - 1 - i,x);CHKERRQ(ierr);
    }
    ierr = VecCreateSeq(PETSC_COMM_SELF,N[i],&x);CHKERRQ(ierr);

    B[levels -1 - i] = x;
    if (i > 0) {
      ierr = PCMGSetRhs(pcmg,levels - 1 - i,x);CHKERRQ(ierr);
    }
    ierr = VecCreateSeq(PETSC_COMM_SELF,N[i],&x);CHKERRQ(ierr);

    R[levels - 1 - i] = x;

    ierr = PCMGSetR(pcmg,levels - 1 - i,x);CHKERRQ(ierr);
  }
  /* create coarse level vectors */
  ierr = VecCreateSeq(PETSC_COMM_SELF,N[levels-1],&x);CHKERRQ(ierr);
  ierr = PCMGSetX(pcmg,0,x);CHKERRQ(ierr); X[0] = x;
  ierr = VecCreateSeq(PETSC_COMM_SELF,N[levels-1],&x);CHKERRQ(ierr);
  ierr = PCMGSetRhs(pcmg,0,x);CHKERRQ(ierr); B[0] = x;

  /* create matrix multiply for finest level */
  ierr = MatCreateShell(PETSC_COMM_WORLD,N[0],N[0],N[0],N[0],(void*)0,&fmat);CHKERRQ(ierr);
  ierr = MatShellSetOperation(fmat,MATOP_MULT,(void (*)(void))amult);CHKERRQ(ierr);
  ierr = KSPSetOperators(kspmg,fmat,fmat);CHKERRQ(ierr);

  ierr = CalculateSolution(N[0],&solution);CHKERRQ(ierr);
  ierr = CalculateRhs(B[levels-1]);CHKERRQ(ierr);
  ierr = VecSet(X[levels-1],0.0);CHKERRQ(ierr);

  ierr = residual((Mat)0,B[levels-1],X[levels-1],R[levels-1]);CHKERRQ(ierr);
  ierr = CalculateError(solution,X[levels-1],R[levels-1],e);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_SELF,"l_2 error %g max error %g resi %g\n",(double)e[0],(double)e[1],(double)e[2]);CHKERRQ(ierr);

  ierr = KSPSolve(kspmg,B[levels-1],X[levels-1]);CHKERRQ(ierr);
  ierr = KSPGetIterationNumber(kspmg,&its);CHKERRQ(ierr);
  ierr = residual((Mat)0,B[levels-1],X[levels-1],R[levels-1]);CHKERRQ(ierr);
  ierr = CalculateError(solution,X[levels-1],R[levels-1],e);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_SELF,"its %D l_2 error %g max error %g resi %g\n",its,(double)e[0],(double)e[1],(double)e[2]);CHKERRQ(ierr);

  ierr = PetscFree(N);CHKERRQ(ierr);
  ierr = VecDestroy(&solution);CHKERRQ(ierr);

  /* note we have to keep a list of all vectors allocated, this is
     not ideal, but putting it in MGDestroy is not so good either*/
  for (i=0; i<levels; i++) {
    ierr = VecDestroy(&X[i]);CHKERRQ(ierr);
    ierr = VecDestroy(&B[i]);CHKERRQ(ierr);
    if (i) {ierr = VecDestroy(&R[i]);CHKERRQ(ierr);}
  }
  for (i=0; i<levels-1; i++) {
    ierr = MatDestroy(&mat[i]);CHKERRQ(ierr);
  }
  ierr = MatDestroy(&cmat);CHKERRQ(ierr);
  ierr = MatDestroy(&fmat);CHKERRQ(ierr);
  ierr = KSPDestroy(&kspmg);CHKERRQ(ierr);
  ierr = PetscFinalize();
  return 0;
}
void PETScMGSolver_UpdateSolvers( PETScMGSolver* self ) {
	PETScMGSolver_Level*	level;
	PC			pc;
	KSP			levelKSP;
	PC			levelPC;
	PetscErrorCode		ec;
	unsigned		l_i;
	PetscTruth              smoothers_differ, flag;
	PetscMPIInt             size;
        MPI_Comm                comm;

	assert( self && Stg_CheckType( self, PETScMGSolver ) );

	ec = KSPGetPC( self->mgData->ksp, &pc );
	CheckPETScError( ec );

	ec = PCMGSetLevels( pc, self->nLevels, PETSC_NULL );
	CheckPETScError( ec );
	ec = PCMGSetType( pc, PC_MG_MULTIPLICATIVE );
	CheckPETScError( ec );

	ec=PetscOptionsGetTruth( PETSC_NULL, "-pc_mg_different_smoothers", &smoothers_differ, &flag ); CheckPETScError(ec);

	ec=PetscObjectGetComm( (PetscObject)pc, &comm ); CheckPETScError(ec);
	MPI_Comm_size( comm, &size );

	for( l_i = 1; l_i < self->nLevels; l_i++ ) {
		level = self->levels + l_i;

		printf("Configuring MG level %d \n", l_i );
		ec = PCMGGetSmootherDown( pc, l_i, &levelKSP );
		CheckPETScError( ec );
		if(smoothers_differ==PETSC_TRUE) { ec=KSPAppendOptionsPrefix( levelKSP, "down_" ); CheckPETScError(ec); }
		ec = KSPSetType( levelKSP, KSPRICHARDSON ); CheckPETScError( ec );
		ec = KSPGetPC( levelKSP, &levelPC ); CheckPETScError( ec );

		if(size==1) {
		  ec = PCSetType( levelPC, PCSOR ); CheckPETScError( ec );
		}
		/* This does not work - bug with the order the operators are created I guess */
		/* For parallel jobs you best bet is to use the command line args and let petsc work it out */
		/*
		else {
		  KSP *sub_ksp;
		  PetscInt k, n_local, first_local;
		  PC sub_pc;

		  PCSetType( levelPC, PCBJACOBI );
		  KSPSetUp( levelKSP );
		  PCBJacobiGetSubKSP( levelPC, &n_local,&first_local,&sub_ksp);
		  for(k=0;k<n_local;k++ ) {
		    KSPSetType( sub_ksp[k], KSPFGMRES );
		    KSPGetPC( sub_ksp[k], &sub_pc );
		    PCSetType( sub_pc, PCSOR );
		  }
		}
		*/
		ec = KSPSetTolerances( levelKSP, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, level->nDownIts ); CheckPETScError( ec );
		if( l_i == self->nLevels - 1 ) { 
		  ec = KSPSetInitialGuessNonzero( levelKSP, PETSC_TRUE );  CheckPETScError( ec );
		} 
		else {  ec = KSPSetInitialGuessNonzero( levelKSP, PETSC_FALSE ); CheckPETScError( ec );  }

		ec = PCMGGetSmootherUp( pc, l_i, &levelKSP ); CheckPETScError( ec );
		if(smoothers_differ==PETSC_TRUE) { ec=KSPAppendOptionsPrefix( levelKSP, "up_" ); CheckPETScError(ec); }
		ec = KSPSetType( levelKSP, KSPRICHARDSON ); CheckPETScError( ec );
		ec = KSPGetPC( levelKSP, &levelPC ); CheckPETScError( ec );
		if(size==1) {
		  ec = PCSetType( levelPC, PCSOR ); CheckPETScError( ec );
		}
		ec = KSPSetTolerances( levelKSP, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, level->nUpIts ); CheckPETScError( ec );
		ec = KSPSetInitialGuessNonzero( levelKSP, PETSC_TRUE ); CheckPETScError( ec );

		ec = PCMGSetCyclesOnLevel( pc, l_i, level->nCycles ); CheckPETScError( ec );
	}
}