Actual source code: ex33.c
petsc-3.13.6 2020-09-29
1: static char help[] = "Test memory scalability of MatMatMult() for AIJ and DENSE matrices. \n\
2: Modified from the code contributed by Ian Lin <iancclin@umich.edu> \n\n";
4: /*
5: Example:
6: mpiexec -n <np> ./ex33 -mem_view -matmatmult_Bbn <Bbn>
7: */
9: #include <petsc.h>
11: PetscErrorCode Print_memory(PetscLogDouble mem)
12: {
14: double max_mem,min_mem;
17: MPI_Reduce(&mem, &max_mem, 1, MPI_DOUBLE, MPI_MAX, 0, MPI_COMM_WORLD);
18: MPI_Reduce(&mem, &min_mem, 1, MPI_DOUBLE, MPI_MIN, 0, MPI_COMM_WORLD);
19: max_mem = max_mem / 1024.0 / 1024.0;
20: min_mem = min_mem / 1024.0 / 1024.0;
21: PetscPrintf(MPI_COMM_WORLD, " max and min memory across all processors %.4f Mb, %.4f Mb.\n", (double)max_mem,(double)min_mem);
22: return(0);
23: }
25: /*
26: Illustrate how to use MPI derived data types.
27: It would save memory significantly. See MatMPIDenseScatter()
28: */
29: PetscErrorCode TestMPIDerivedDataType()
30: {
31: PetscErrorCode ierr;
32: MPI_Datatype type1, type2,rtype1,rtype2;
33: PetscInt i,j;
34: PetscScalar buffer[24]; /* An array of 4 rows, 6 cols */
35: MPI_Status status;
36: PetscMPIInt rank,size,disp[2];
39: MPI_Comm_size(MPI_COMM_WORLD, &size);
40: if (size < 2) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Must use at least 2 processors");
41: MPI_Comm_rank(MPI_COMM_WORLD, &rank);
43: if (rank == 0) {
44: /* proc[0] sends 2 rows to proc[1] */
45: for (i=0; i<24; i++) buffer[i] = (PetscScalar)i;
47: disp[0] = 0; disp[1] = 2;
48: MPI_Type_create_indexed_block(2, 1, (const PetscMPIInt *)disp, MPIU_SCALAR, &type1);
49: /* one column has 4 entries */
50: MPI_Type_create_resized(type1,0,4*sizeof(PetscScalar),&type2);
51: MPI_Type_commit(&type2);
52: MPI_Send(buffer, 6, type2, 1, 123, MPI_COMM_WORLD);
54: } else if (rank == 1) {
55: /* proc[1] receives 2 rows from proc[0], and put them into contiguous rows, starting at the row 1 (disp[0]) */
56: PetscInt blen = 2;
57: for (i=0; i<24; i++) buffer[i] = 0.0;
59: disp[0] = 1;
60: MPI_Type_create_indexed_block(1, blen, (const PetscMPIInt *)disp, MPIU_SCALAR, &rtype1);
61: MPI_Type_create_resized(rtype1, 0, 4*sizeof(PetscScalar), &rtype2);
63: MPI_Type_commit(&rtype2);
64: MPI_Recv(buffer, 6, rtype2, 0, 123, MPI_COMM_WORLD, &status);
65: for (i=0; i<4; i++) {
66: for (j=0; j<6; j++) {
67: PetscPrintf(MPI_COMM_SELF," %g", (double)PetscRealPart(buffer[i+j*4]));
68: }
69: PetscPrintf(MPI_COMM_SELF,"\n");
70: }
71: }
73: if (rank == 0) {
74: MPI_Type_free(&type1);
75: MPI_Type_free(&type2);
76: } else if (rank == 1) {
77: MPI_Type_free(&rtype1);
78: MPI_Type_free(&rtype2);
79: }
80: MPI_Barrier(MPI_COMM_WORLD);
81: return(0);
82: }
84: int main(int argc, char **args)
85: {
86: PetscInt mA = 2700,nX = 80,nz = 40;
87: /* PetscInt mA=6,nX=5,nz=2; //small test */
88: PetscLogDouble mem;
89: Mat A,X,Y;
90: PetscErrorCode ierr;
91: PetscBool flg = PETSC_FALSE;
93: PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
94: PetscOptionsGetBool(NULL,NULL,"-test_mpiderivedtype",&flg,NULL);
95: if (flg) {
96: TestMPIDerivedDataType();
97: PetscFinalize();
98: return ierr;
99: }
101: PetscOptionsGetBool(NULL,NULL,"-mem_view",&flg,NULL);
102: PetscMemoryGetCurrentUsage(&mem);
103: if (flg) {
104: PetscPrintf(MPI_COMM_WORLD, "Before start,");
105: Print_memory(mem);
106: }
108: MatCreateAIJ(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE,mA,mA,nz,PETSC_NULL,nz,PETSC_NULL,&A);
109: MatSetRandom(A,PETSC_NULL);
110: PetscMemoryGetCurrentUsage(&mem);
111: if (flg) {
112: PetscPrintf(MPI_COMM_WORLD, "After creating A,");
113: Print_memory(mem);
114: }
116: MatCreateDense(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE,mA,nX,PETSC_NULL,&X);
117: MatSetRandom(X,PETSC_NULL);
118: PetscMemoryGetCurrentUsage(&mem);
119: if (flg) {
120: PetscPrintf(MPI_COMM_WORLD, "After creating X,");
121: Print_memory(mem);
122: }
124: MatMatMult(A,X,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&Y);
125: PetscMemoryGetCurrentUsage(&mem);
126: if (flg) {
127: PetscPrintf(MPI_COMM_WORLD, "After MatMatMult,");
128: Print_memory(mem);
129: }
131: /* Test reuse */
132: MatMatMult(A,X,MAT_REUSE_MATRIX,PETSC_DEFAULT,&Y);
133: PetscMemoryGetCurrentUsage(&mem);
134: if (flg) {
135: PetscPrintf(MPI_COMM_WORLD, "After reuse MatMatMult,");
136: Print_memory(mem);
137: }
139: /* Check accuracy */
140: MatMatMultEqual(A,X,Y,10,&flg);
141: if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_NOTSAMETYPE,"Error in MatMatMult()");
143: MatDestroy(&A);
144: MatDestroy(&X);
145: MatDestroy(&Y);
147: PetscFinalize();
148: return ierr;
149: }
151: /*TEST
153: test:
154: suffix: 1
155: nsize: 4
156: output_file: output/ex33.out
158: test:
159: suffix: 2
160: nsize: 8
161: output_file: output/ex33.out
163: test:
164: suffix: 3
165: nsize: 2
166: args: -test_mpiderivedtype
167: output_file: output/ex33_3.out
169: TEST*/