[petsc-users] I write the following program, it can converge with 4 processor, but can not converge with 2 , or 3 processor. Could you help me out

丁老师 ztdepyahoo at 163.com
Fri Aug 16 07:32:49 CDT 2013


thank you very much! could you please suggest me a robust preconditioner which is independent of the number of processor.






在 2013-08-16 19:54:01,"Matthew Knepley" <knepley at gmail.com> 写道:

On Fri, Aug 16, 2013 at 6:13 AM, 丁老师 <ztdepyahoo at 163.com> wrote:


Its common for iterative solvers to converge differently for different PC. You are using block Jacobi-ILU
which is different for different numbers of processes.


   Matt


/* Program usage:  mpiexec ex1 [-help] [all PETSc options] */

static char help[] = "Basic vector routines.\n\n";


#include "petscksp.h"
#include "petscvec.h"



int main(int argc,char **argv)
{
  int N=16;
 
  int MyRank;
 
   Mat A; 
   PC Pc; 
   KSP ksp;
   Vec b,x;
 
 PetscInitialize(&argc,&argv,(char*)0,help);
  MPI_Comm_rank(MPI_COMM_WORLD,&MyRank);
 
  MatCreate(PETSC_COMM_WORLD,&A);
  MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N);
  MatSetFromOptions(A);
  MatMPIAIJSetPreallocation(A,5,PETSC_NULL,5,PETSC_NULL);
 
  VecCreate(PETSC_COMM_WORLD,&b);
  VecSetSizes(b,PETSC_DECIDE,N);
  VecSetFromOptions(b);
  VecDuplicate(b,&x);
&n bsp;
  int row=0;
  int* col3;
  int* col4;
  int* col5;
  PetscMalloc(3*sizeof(PetscInt),&col3);
  PetscMalloc(4*sizeof(PetscInt),&col4);
  PetscMalloc(5*sizeof(PetscInt),&col5);
 
  col3[0]=0;  col3[1]=1;  col3[2]=4;
 double value3[3]={2.2916666666666665e+00,-1.1458333333333333e+00,-1.1458333333333333e+00};
 MatSetValues(A,1,&row,3,col3,value3,INSERT_VALUES);

 row=1;
 col4[0]=0;  col4[1]=1;  col4[2]=2; col4[3]=5;
 double value4[4]={-1.1458333333333333e+00,3.8020833333333330e+00,-1.2500000000000000e+00 ,-1.4062500000000000e+00};
  MatSetValues(A,1,&row,4,col4,value4,INSERT_VALUES);

 
  row=2;
 col4[0]=1;  col4[1]=2;  col4[2]=3; col4[3]=6;
 value4[0]=-1.2500000000000000e+00;
 value4[1]=3.8020833333333330e+00;
 value4[2]=-1.1458333333333333e+00 ;
&n bsp;value4[3]=-1.4062500000000000e+00;
  MatSetValues(A,1,&row,4,col4,value4,INSERT_VALUES);
 
 
   row=3;
  col3[0]=2;  col3[1]=3;  col3[2]=7;
 value3[0]=-1.1458333333333333e+00;
 value3[1]=2.2916666666666665e+00;
 value3[2]=-1.1458333333333333e+00;
 MatSetValues(A,1,&row,3,col3,value3,INSERT_VALUES);
 
 
  row=4;
 col4[0]=0;  col4[1]=4;  col4[2]=5; col4[3]=8;
 value4[0]=-1.1458333333333333e+00;
 value4[1]=3.8020833333333330e+00;
 value4[2]=-1.4062500000000000e+00;
 value4[3]=-1.2500000000000000e+00;
  MatSetValues(A,1,&row,4,col4,value4,INSERT_VALUES);
 
   row=5;
 col5[0]=1;  col5[1]=4;  col5[2]=5; col5[3]=6; col5[4]=9;
 double value5[5];
 value5[0]=-1.4062500000000000e+00;
 value5[1]=-1.4062500000000000e+00;
 value5[2]=5 .9375000000000000e+00;
 value5[3]=-1.5625000000000000e+00 ;
 value5[4]=-1.5625000000000000e+00 ;
  MatSetValues(A,1,&row,5,col5,value5,INSERT_VALUES);
 
 
 
  row=6;
 col5[0]=2;  col5[1]=5;  col5[2]=6; col5[3]=7; col5[4]=10;
 value5[0]=-1.4062500000000000e+00;
 value5[1]=-1.5625000000000000e+00;
 value5[2]=5.9375000000000000e+00;
 value5[3]=-1.4062500000000000e+00 ;
 value5[4]=-1.5625000000000000e+00 ;
  MatSetValues(A,1,&row,5,col5,value5,INSERT_VALUES);  
 
  row=7;
 col4[0]=3;  col4[1]=6;  col4[2]=7; col4[3]=11;
 value4[0]=-1.1458333333333333e+00;
 value4[1]=-1.4062500000000000e+00;
 value4[2]=3.8020833333333330e+00;
 value4[3]=-1.2500000000000000e+00;
  MatSetValues(A,1,&row,4,col4,value4,INSERT_VALUES);  
 
  row=8;
  col4[0]=4;  col4[1]=8;  col4[2]=9; col4[3]=12;
 value4[0]=-1.2500000000000000e+00;
 value4[1]=3.8020833333333330e+00;
 value4[2]=-1.4062500000000000e+00;
 value4[3]=-1.1458333333333333e+00;
  MatSetValues(A,1,&row,4,col4,value4,INSERT_VALUES);    
 
 
   row=9;
 col5[0]=5;  col5[1]=8;  col5[2]=9; col5[3]=10; col5[4]=13;
 value5[0]=-1.5625000000000000e+00;
 value5[1]=-1.4062500000000000e+00;
 value5[2]=5.9375000000000000e+00;
 value5[3]=-1.5625000000000000e+00 ;
 value5[4]= -1.4062500000000000e+00;
  MatSetValues(A,1,&row,5,col5,value5,INSERT_VALUES); 
 
     row=10;
 col5[0]=6;  col5[1]=9;  col5[2]=10; col5[3]=11; col5[4]=14;
 value5[0]=-1.5625000000000000e+00;
 value5[1]=-1.5625000000000000e+00;
 value5[2]=5.93750000000000 00e+00;
 value5[3]=-1.4062500000000000e+00 ;
 value5[4]= -1.4062500000000000e+00;
  MatSetValues(A,1,&row,5,col5,value5,INSERT_VALUES); 
 
 
  row=11;
 col4[0]=7;  col4[1]=10;  col4[2]=11; col4[3]=15;
 value4[0]=-1.2500000000000000e+00;
 value4[1]=-1.4062500000000000e+00;
 value4[2]=3.8020833333333330e+00;
 value4[3]=-1.1458333333333333e+00;
  MatSetValues(A,1,&row,4,col4,value4,INSERT_VALUES);    
 
 
 
 
    row=12;
  col3[0]=8;  col3[1]=12;  col3[2]=13;
 value3[0]=-1.1458333333333333e+00;
 value3[1]=2.2916666666666665e+00;
 value3[2]=-1.1458333333333333e+00;
 MatSetValues(A,1,&row,3,col3,value3,INSERT_VALUES); 
 
 
   row=13;
 col4[0]=9;  col4[1]=12;  col4[2]=13; col4[3]= 14;
 value4[0]=-1.4062500000000000e+00;
 value4[1]=-1.1458333333333333e+00;
 value4[2]=3.8020833333333330e+00;
 value4[3]=-1.2500000000000000e+00;
  MatSetValues(A,1,&row,4,col4,value4,INSERT_VALUES);  
 
 
   row=14;
 col4[0]=10;  col4[1]=13;  col4[2]=14; col4[3]=15;
 value4[0]=-1.4062500000000000e+00;
 value4[1]=-1.2500000000000000e+00;
 value4[2]=3.8020833333333330e+00;
 value4[3]=-1.1458333333333333e+00;
  MatSetValues(A,1,&row,4,col4,value4,INSERT_VALUES);  
 
 
 
     row=15;
  col3[0]=11;  col3[1]=14;  col3[2]=15;
 value3[0]=-1.1458333333333333e+00;
 value3[1]=-1.1458333333333333e+00;
 value3[2]=2.2916666666666665e+00;
 MatSetValues(A,1,&row,3,col3,value3,INSERT_VALUES);  
 
 
&n bsp;
  MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
  MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY); 
   
//  MatView(A,PETSC_VIEWER_STDOUT_WORLD); 

 
 
  double val[16]={-7.6233779415782715e-04,
-3.0457072596705860e-04,
3.0457072596705860e-04,
7.6233779415782715e-04,
-4.4764543813290442e-03,
-1.6196451741044846e-03,
1.6196451741044846e-03,
4.4764543813290442e-03,
-1.9333475373837013e-02,
-5.4815619458573189e-03,
5.4815619458573189e-03,
1.9333475373837013e-02,
-8.4153777598326651e-02,
-1.2883385353962010e-02,
1.2883385353962010e-02,
8.4153777598326651e-02};

int* col16;
  PetscMalloc(16*sizeof(PetscInt),&col16);
 for(int i=0;i<16;i++)
  col16[i]=i;
 
VecSetValues(b,16,col16,val,INSERT_VALUES);
    VecAssemblyBegin(b);
    VecAssemblyEnd(b);   
//
 &nbs p;   VecView(b,PETSC_VIEWER_STDOUT_WORLD);

   
  KSPCreate(PETSC_COMM_WORLD,&ksp);
  KSPSetOperators(ksp,A,A,SAME_NONZERO_PATTERN);
  KSPSetOperators(ksp,A,A,SAME_PRECONDITIONER);
  KSPSetInitialGuessNonzero(ksp,PETSC_FALSE);
 
  KSPSetType(ksp,KSPBCGS);
 //  KSPSetType(ksp,KSPLSQR);
 //  KSPSetType(ksp,KSPFGMRES);
 // KSPSetType(ksp,KSPDGMRES);
//KSPSetType(ksp,KSPTCQMR);
 // KSPSetType(ksp,KSPPREONLY);
 
  //KSPGetPC(ksp,&Pc);
 // PCSetType(Pc,PCJACOBI);
  KSPSetFromOptions(ksp);
  KSPSetTolerances(ksp,1.e-20,1.e-20,PETSC_DEFAULT,1000);
  KSPSolve(ksp,b,x);
 
 
  VecView(x,PETSC_VIEWER_STDOUT_WORLD);

 
  PetscFinalize();
  return 0;
}
 










--
What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead.
-- Norbert Wiener
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