xref: /petsc/src/mat/tests/ex42.c (revision 5f80ce2ab25dff0f4601e710601cbbcecf323266)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Tests MatIncreaseOverlap() and MatCreateSubmatrices() for the parallel case.\n\
3c4762a1bSJed Brown This example is similar to ex40.c; here the index sets used are random.\n\
4c4762a1bSJed Brown Input arguments are:\n\
5c4762a1bSJed Brown   -f <input_file> : file to load.  For example see $PETSC_DIR/share/petsc/datafiles/matrices\n\
6c4762a1bSJed Brown   -nd <size>      : > 0  no of domains per processor \n\
7c4762a1bSJed Brown   -ov <overlap>   : >=0  amount of overlap between domains\n\n";
8c4762a1bSJed Brown 
9c4762a1bSJed Brown #include <petscmat.h>
10c4762a1bSJed Brown 
11c4762a1bSJed Brown int main(int argc,char **args)
12c4762a1bSJed Brown {
13c4762a1bSJed Brown   PetscErrorCode ierr;
14c4762a1bSJed Brown   PetscInt       nd = 2,ov=1,i,j,lsize,m,n,*idx,bs;
15c4762a1bSJed Brown   PetscMPIInt    rank, size;
16c4762a1bSJed Brown   PetscBool      flg;
17c4762a1bSJed Brown   Mat            A,B,*submatA,*submatB;
18c4762a1bSJed Brown   char           file[PETSC_MAX_PATH_LEN];
19c4762a1bSJed Brown   PetscViewer    fd;
20c4762a1bSJed Brown   IS             *is1,*is2;
21c4762a1bSJed Brown   PetscRandom    r;
22c4762a1bSJed Brown   PetscBool      test_unsorted = PETSC_FALSE;
23c4762a1bSJed Brown   PetscScalar    rand;
24c4762a1bSJed Brown 
25c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
26*5f80ce2aSJacob Faibussowitsch   CHKERRMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size));
27*5f80ce2aSJacob Faibussowitsch   CHKERRMPI(MPI_Comm_rank(PETSC_COMM_WORLD,&rank));
28*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscOptionsGetString(NULL,NULL,"-f",file,sizeof(file),NULL));
29*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-nd",&nd,NULL));
30*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-ov",&ov,NULL));
31*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscOptionsGetBool(NULL,NULL,"-test_unsorted",&test_unsorted,NULL));
32c4762a1bSJed Brown 
33c4762a1bSJed Brown   /* Read matrix A and RHS */
34*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscViewerBinaryOpen(PETSC_COMM_WORLD,file,FILE_MODE_READ,&fd));
35*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatCreate(PETSC_COMM_WORLD,&A));
36*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatSetType(A,MATAIJ));
37*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatSetFromOptions(A));
38*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatLoad(A,fd));
39*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscViewerDestroy(&fd));
40c4762a1bSJed Brown 
41c4762a1bSJed Brown   /* Read the same matrix as a seq matrix B */
42*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscViewerBinaryOpen(PETSC_COMM_SELF,file,FILE_MODE_READ,&fd));
43*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatCreate(PETSC_COMM_SELF,&B));
44*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatSetType(B,MATSEQAIJ));
45*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatSetFromOptions(B));
46*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatLoad(B,fd));
47*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscViewerDestroy(&fd));
48c4762a1bSJed Brown 
49*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatGetBlockSize(A,&bs));
50c4762a1bSJed Brown 
51c4762a1bSJed Brown   /* Create the Random no generator */
52*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatGetSize(A,&m,&n));
53*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscRandomCreate(PETSC_COMM_SELF,&r));
54*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscRandomSetFromOptions(r));
55c4762a1bSJed Brown 
56c4762a1bSJed Brown   /* Create the IS corresponding to subdomains */
57*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscMalloc1(nd,&is1));
58*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscMalloc1(nd,&is2));
59*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscMalloc1(m ,&idx));
602f613bf5SBarry Smith   for (i = 0; i < m; i++) {idx[i] = i;}
61c4762a1bSJed Brown 
62c4762a1bSJed Brown   /* Create the random Index Sets */
63c4762a1bSJed Brown   for (i=0; i<nd; i++) {
64c4762a1bSJed Brown     /* Skip a few,so that the IS on different procs are diffeent*/
65c4762a1bSJed Brown     for (j=0; j<rank; j++) {
66*5f80ce2aSJacob Faibussowitsch       CHKERRQ(PetscRandomGetValue(r,&rand));
67c4762a1bSJed Brown     }
68*5f80ce2aSJacob Faibussowitsch     CHKERRQ(PetscRandomGetValue(r,&rand));
69c4762a1bSJed Brown     lsize = (PetscInt)(rand*(m/bs));
70c4762a1bSJed Brown     /* shuffle */
71c4762a1bSJed Brown     for (j=0; j<lsize; j++) {
72c4762a1bSJed Brown       PetscInt k, swap, l;
73c4762a1bSJed Brown 
74*5f80ce2aSJacob Faibussowitsch       CHKERRQ(PetscRandomGetValue(r,&rand));
75c4762a1bSJed Brown       k      = j + (PetscInt)(rand*((m/bs)-j));
76c4762a1bSJed Brown       for (l = 0; l < bs; l++) {
77c4762a1bSJed Brown         swap        = idx[bs*j+l];
78c4762a1bSJed Brown         idx[bs*j+l] = idx[bs*k+l];
79c4762a1bSJed Brown         idx[bs*k+l] = swap;
80c4762a1bSJed Brown       }
81c4762a1bSJed Brown     }
82*5f80ce2aSJacob Faibussowitsch     if (!test_unsorted) CHKERRQ(PetscSortInt(lsize*bs,idx));
83*5f80ce2aSJacob Faibussowitsch     CHKERRQ(ISCreateGeneral(PETSC_COMM_SELF,lsize*bs,idx,PETSC_COPY_VALUES,is1+i));
84*5f80ce2aSJacob Faibussowitsch     CHKERRQ(ISCreateGeneral(PETSC_COMM_SELF,lsize*bs,idx,PETSC_COPY_VALUES,is2+i));
85*5f80ce2aSJacob Faibussowitsch     CHKERRQ(ISSetBlockSize(is1[i],bs));
86*5f80ce2aSJacob Faibussowitsch     CHKERRQ(ISSetBlockSize(is2[i],bs));
87c4762a1bSJed Brown   }
88c4762a1bSJed Brown 
89c4762a1bSJed Brown   if (!test_unsorted) {
90*5f80ce2aSJacob Faibussowitsch     CHKERRQ(MatIncreaseOverlap(A,nd,is1,ov));
91*5f80ce2aSJacob Faibussowitsch     CHKERRQ(MatIncreaseOverlap(B,nd,is2,ov));
92c4762a1bSJed Brown 
93c4762a1bSJed Brown     for (i=0; i<nd; ++i) {
94*5f80ce2aSJacob Faibussowitsch       CHKERRQ(ISSort(is1[i]));
95*5f80ce2aSJacob Faibussowitsch       CHKERRQ(ISSort(is2[i]));
96c4762a1bSJed Brown     }
97c4762a1bSJed Brown   }
98c4762a1bSJed Brown 
99*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatCreateSubMatrices(A,nd,is1,is1,MAT_INITIAL_MATRIX,&submatA));
100*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatCreateSubMatrices(B,nd,is2,is2,MAT_INITIAL_MATRIX,&submatB));
101c4762a1bSJed Brown 
102c4762a1bSJed Brown   /* Now see if the serial and parallel case have the same answers */
103c4762a1bSJed Brown   for (i=0; i<nd; ++i) {
104*5f80ce2aSJacob Faibussowitsch     CHKERRQ(MatEqual(submatA[i],submatB[i],&flg));
1052c71b3e2SJacob Faibussowitsch     PetscCheckFalse(!flg,PETSC_COMM_SELF,PETSC_ERR_PLIB,"%" PetscInt_FMT "-th paralle submatA != seq submatB",i);
106c4762a1bSJed Brown   }
107c4762a1bSJed Brown 
108c4762a1bSJed Brown   /* Free Allocated Memory */
109c4762a1bSJed Brown   for (i=0; i<nd; ++i) {
110*5f80ce2aSJacob Faibussowitsch     CHKERRQ(ISDestroy(&is1[i]));
111*5f80ce2aSJacob Faibussowitsch     CHKERRQ(ISDestroy(&is2[i]));
112c4762a1bSJed Brown   }
113*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatDestroySubMatrices(nd,&submatA));
114*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatDestroySubMatrices(nd,&submatB));
115c4762a1bSJed Brown 
116*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscRandomDestroy(&r));
117*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscFree(is1));
118*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscFree(is2));
119*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatDestroy(&A));
120*5f80ce2aSJacob Faibussowitsch   CHKERRQ(MatDestroy(&B));
121*5f80ce2aSJacob Faibussowitsch   CHKERRQ(PetscFree(idx));
122c4762a1bSJed Brown   ierr = PetscFinalize();
123c4762a1bSJed Brown   return ierr;
124c4762a1bSJed Brown }
125c4762a1bSJed Brown 
126c4762a1bSJed Brown /*TEST
127c4762a1bSJed Brown 
128c4762a1bSJed Brown    build:
129c4762a1bSJed Brown       requires: !complex
130c4762a1bSJed Brown 
131c4762a1bSJed Brown    test:
132c4762a1bSJed Brown       nsize: 3
133dfd57a17SPierre Jolivet       requires: datafilespath double !defined(PETSC_USE_64BIT_INDICES) !complex
134c4762a1bSJed Brown       args: -f ${DATAFILESPATH}/matrices/arco1 -nd 5 -ov 2
135c4762a1bSJed Brown 
136c4762a1bSJed Brown    test:
137c4762a1bSJed Brown       suffix: 2
138c4762a1bSJed Brown       args: -f ${DATAFILESPATH}/matrices/arco1 -nd 8 -ov 2
139dfd57a17SPierre Jolivet       requires: datafilespath double !defined(PETSC_USE_64BIT_INDICES) !complex
140c4762a1bSJed Brown 
141c4762a1bSJed Brown    test:
142c4762a1bSJed Brown       suffix: unsorted_baij_mpi
143c4762a1bSJed Brown       nsize: 3
144dfd57a17SPierre Jolivet       requires: datafilespath double !defined(PETSC_USE_64BIT_INDICES) !complex
145c4762a1bSJed Brown       args: -f ${DATAFILESPATH}/matrices/cfd.1.10 -nd 8 -mat_type baij -test_unsorted
146c4762a1bSJed Brown 
147c4762a1bSJed Brown    test:
148c4762a1bSJed Brown       suffix: unsorted_baij_seq
149dfd57a17SPierre Jolivet       requires: datafilespath double !defined(PETSC_USE_64BIT_INDICES) !complex
150c4762a1bSJed Brown       args: -f ${DATAFILESPATH}/matrices/cfd.1.10 -nd 8 -mat_type baij -test_unsorted
151c4762a1bSJed Brown 
152c4762a1bSJed Brown    test:
153c4762a1bSJed Brown       suffix: unsorted_mpi
154c4762a1bSJed Brown       nsize: 3
155dfd57a17SPierre Jolivet       requires: datafilespath double !defined(PETSC_USE_64BIT_INDICES) !complex
156c4762a1bSJed Brown       args: -f ${DATAFILESPATH}/matrices/arco1 -nd 8 -test_unsorted
157c4762a1bSJed Brown 
158c4762a1bSJed Brown    test:
159c4762a1bSJed Brown       suffix: unsorted_seq
160dfd57a17SPierre Jolivet       requires: datafilespath double !defined(PETSC_USE_64BIT_INDICES) !complex
161c4762a1bSJed Brown       args: -f ${DATAFILESPATH}/matrices/arco1 -nd 8 -test_unsorted
162c4762a1bSJed Brown 
163c4762a1bSJed Brown TEST*/
164