Actual source code: ex76.c
1: #include <petscksp.h>
2: #include <petsc/private/petscimpl.h>
4: static char help[] = "Solves a linear system using PCHPDDM.\n\n";
6: int main(int argc, char **args)
7: {
8: Vec b; /* computed solution and RHS */
9: Mat A, aux, X, B; /* linear system matrix */
10: KSP ksp; /* linear solver context */
11: PC pc;
12: IS is, sizes;
13: const PetscInt *idx;
14: PetscMPIInt rank, size;
15: PetscInt m, N = 1;
16: PetscViewer viewer;
17: char dir[PETSC_MAX_PATH_LEN], name[PETSC_MAX_PATH_LEN], type[256];
18: PetscBool3 share = PETSC_BOOL3_UNKNOWN;
19: PetscBool flg, set;
21: PetscFunctionBeginUser;
22: PetscCall(PetscInitialize(&argc, &args, NULL, help));
23: PetscCall(PetscLogDefaultBegin());
24: PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
25: PetscCheck(size == 4, PETSC_COMM_WORLD, PETSC_ERR_USER, "This example requires 4 processes");
26: PetscCall(PetscOptionsGetInt(NULL, NULL, "-rhs", &N, NULL));
27: PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
28: PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
29: PetscCall(MatCreate(PETSC_COMM_SELF, &aux));
30: PetscCall(ISCreate(PETSC_COMM_SELF, &is));
31: PetscCall(PetscStrncpy(dir, ".", sizeof(dir)));
32: PetscCall(PetscOptionsGetString(NULL, NULL, "-load_dir", dir, sizeof(dir), NULL));
33: /* loading matrices */
34: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/sizes_%d_%d.dat", dir, rank, size));
35: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
36: PetscCall(ISCreate(PETSC_COMM_SELF, &sizes));
37: PetscCall(ISLoad(sizes, viewer));
38: PetscCall(ISGetIndices(sizes, &idx));
39: PetscCall(MatSetSizes(A, idx[0], idx[1], idx[2], idx[3]));
40: PetscCall(MatSetUp(A));
41: PetscCall(ISRestoreIndices(sizes, &idx));
42: PetscCall(ISDestroy(&sizes));
43: PetscCall(PetscViewerDestroy(&viewer));
44: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/A.dat", dir));
45: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD, name, FILE_MODE_READ, &viewer));
46: PetscCall(MatLoad(A, viewer));
47: PetscCall(PetscViewerDestroy(&viewer));
48: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/is_%d_%d.dat", dir, rank, size));
49: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
50: PetscCall(ISLoad(is, viewer));
51: PetscCall(ISSetBlockSize(is, 2));
52: PetscCall(PetscViewerDestroy(&viewer));
53: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/Neumann_%d_%d.dat", dir, rank, size));
54: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
55: PetscCall(MatLoad(aux, viewer));
56: PetscCall(PetscViewerDestroy(&viewer));
57: flg = PETSC_FALSE;
58: PetscCall(PetscOptionsGetBool(NULL, NULL, "-pc_hpddm_levels_1_st_share_sub_ksp", &flg, &set));
59: if (flg) { /* PETSc LU/Cholesky is struggling numerically for bs > 1 */
60: /* only set the proper bs for the geneo_share_* tests, 1 otherwise */
61: PetscCall(MatSetBlockSizesFromMats(aux, A, A));
62: share = PETSC_BOOL3_TRUE;
63: } else if (set) share = PETSC_BOOL3_FALSE;
64: PetscCall(MatSetOption(A, MAT_SYMMETRIC, PETSC_TRUE));
65: PetscCall(MatSetOption(aux, MAT_SYMMETRIC, PETSC_TRUE));
66: /* ready for testing */
67: PetscOptionsBegin(PETSC_COMM_WORLD, "", "", "");
68: PetscCall(PetscStrncpy(type, MATAIJ, sizeof(type)));
69: PetscCall(PetscOptionsFList("-mat_type", "Matrix type", "MatSetType", MatList, type, type, 256, &flg));
70: PetscOptionsEnd();
71: PetscCall(MatConvert(A, type, MAT_INPLACE_MATRIX, &A));
72: PetscCall(MatConvert(aux, type, MAT_INPLACE_MATRIX, &aux));
73: PetscCall(KSPCreate(PETSC_COMM_WORLD, &ksp));
74: PetscCall(KSPSetOperators(ksp, A, A));
75: PetscCall(KSPGetPC(ksp, &pc));
76: PetscCall(PCSetType(pc, PCHPDDM));
77: #if defined(PETSC_HAVE_HPDDM) && defined(PETSC_HAVE_DYNAMIC_LIBRARIES) && defined(PETSC_USE_SHARED_LIBRARIES)
78: flg = PETSC_FALSE;
79: PetscCall(PetscOptionsGetBool(NULL, NULL, "-reset", &flg, NULL));
80: if (flg) {
81: PetscCall(PetscOptionsSetValue(NULL, "-pc_hpddm_block_splitting", "true"));
82: PetscCall(PCSetFromOptions(pc));
83: PetscCall(PCSetUp(pc));
84: PetscCall(PetscOptionsClearValue(NULL, "-pc_hpddm_block_splitting"));
85: }
86: PetscCall(PCHPDDMSetAuxiliaryMat(pc, is, aux, NULL, NULL));
87: PetscCall(PCHPDDMHasNeumannMat(pc, PETSC_FALSE)); /* PETSC_TRUE is fine as well, just testing */
88: if (share == PETSC_BOOL3_UNKNOWN) PetscCall(PCHPDDMSetSTShareSubKSP(pc, PetscBool3ToBool(share)));
89: flg = PETSC_FALSE;
90: PetscCall(PetscOptionsGetBool(NULL, NULL, "-set_rhs", &flg, NULL));
91: if (flg) { /* user-provided RHS for concurrent generalized eigenvalue problems */
92: Mat a, c, P; /* usually assembled automatically in PCHPDDM, this is solely for testing PCHPDDMSetRHSMat() */
93: PetscInt rstart, rend, location;
95: PetscCall(MatDuplicate(aux, MAT_DO_NOT_COPY_VALUES, &B)); /* duplicate so that MatStructure is SAME_NONZERO_PATTERN */
96: PetscCall(MatGetDiagonalBlock(A, &a));
97: PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
98: PetscCall(ISGetLocalSize(is, &m));
99: PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, rend - rstart, m, 1, NULL, &P));
100: for (m = rstart; m < rend; ++m) {
101: PetscCall(ISLocate(is, m, &location));
102: PetscCheck(location >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "IS of the auxiliary Mat does not include all local rows of A");
103: PetscCall(MatSetValue(P, m - rstart, location, 1.0, INSERT_VALUES));
104: }
105: PetscCall(MatAssemblyBegin(P, MAT_FINAL_ASSEMBLY));
106: PetscCall(MatAssemblyEnd(P, MAT_FINAL_ASSEMBLY));
107: PetscCall(PetscObjectTypeCompare((PetscObject)a, MATSEQAIJ, &flg));
108: if (flg) PetscCall(MatPtAP(a, P, MAT_INITIAL_MATRIX, 1.0, &X)); /* MatPtAP() is used to extend diagonal blocks with zeros on the overlap */
109: else { /* workaround for MatPtAP() limitations with some types */ PetscCall(MatConvert(a, MATSEQAIJ, MAT_INITIAL_MATRIX, &c));
110: PetscCall(MatPtAP(c, P, MAT_INITIAL_MATRIX, 1.0, &X));
111: PetscCall(MatDestroy(&c));
112: }
113: PetscCall(MatDestroy(&P));
114: PetscCall(MatAXPY(B, 1.0, X, SUBSET_NONZERO_PATTERN));
115: PetscCall(MatDestroy(&X));
116: PetscCall(MatSetOption(B, MAT_SYMMETRIC, PETSC_TRUE));
117: PetscCall(PCHPDDMSetRHSMat(pc, B));
118: PetscCall(MatDestroy(&B));
119: }
120: #else
121: (void)share;
122: #endif
123: PetscCall(MatDestroy(&aux));
124: PetscCall(KSPSetFromOptions(ksp));
125: PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &flg));
126: if (flg) {
127: flg = PETSC_FALSE;
128: PetscCall(PetscOptionsGetBool(NULL, NULL, "-pc_hpddm_define_subdomains", &flg, NULL));
129: if (flg) {
130: IS rows;
132: PetscCall(MatGetOwnershipIS(A, &rows, NULL));
133: PetscCall(PCASMSetLocalSubdomains(pc, 1, &is, &rows));
134: PetscCall(ISDestroy(&rows));
135: }
136: }
137: PetscCall(ISDestroy(&is));
138: PetscCall(MatCreateVecs(A, NULL, &b));
139: PetscCall(VecSet(b, 1.0));
140: PetscCall(KSPSolve(ksp, b, b));
141: PetscCall(VecGetLocalSize(b, &m));
142: PetscCall(VecDestroy(&b));
143: if (N > 1) {
144: KSPType type;
146: PetscCall(PetscOptionsClearValue(NULL, "-ksp_converged_reason"));
147: PetscCall(KSPSetFromOptions(ksp));
148: PetscCall(MatCreateDense(PETSC_COMM_WORLD, m, PETSC_DECIDE, PETSC_DECIDE, N, NULL, &B));
149: PetscCall(MatCreateDense(PETSC_COMM_WORLD, m, PETSC_DECIDE, PETSC_DECIDE, N, NULL, &X));
150: PetscCall(MatSetRandom(B, NULL));
151: /* this is algorithmically optimal in the sense that blocks of vectors are coarsened or interpolated using matrix--matrix operations */
152: /* PCHPDDM however heavily relies on MPI[S]BAIJ format for which there is no efficient MatProduct implementation */
153: PetscCall(KSPMatSolve(ksp, B, X));
154: PetscCall(KSPGetType(ksp, &type));
155: PetscCall(PetscStrcmp(type, KSPHPDDM, &flg));
156: #if defined(PETSC_HAVE_HPDDM)
157: if (flg) {
158: PetscReal norm;
159: KSPHPDDMType type;
161: PetscCall(KSPHPDDMGetType(ksp, &type));
162: if (type == KSP_HPDDM_TYPE_PREONLY || type == KSP_HPDDM_TYPE_CG || type == KSP_HPDDM_TYPE_GMRES || type == KSP_HPDDM_TYPE_GCRODR) {
163: Mat C;
165: PetscCall(MatDuplicate(X, MAT_DO_NOT_COPY_VALUES, &C));
166: PetscCall(KSPSetMatSolveBatchSize(ksp, 1));
167: PetscCall(KSPMatSolve(ksp, B, C));
168: PetscCall(MatAYPX(C, -1.0, X, SAME_NONZERO_PATTERN));
169: PetscCall(MatNorm(C, NORM_INFINITY, &norm));
170: PetscCall(MatDestroy(&C));
171: PetscCheck(norm <= 100 * PETSC_MACHINE_EPSILON, PetscObjectComm((PetscObject)pc), PETSC_ERR_PLIB, "KSPMatSolve() and KSPSolve() difference has nonzero norm %g with pseudo-block KSPHPDDMType %s", (double)norm, KSPHPDDMTypes[type]);
172: }
173: }
174: #endif
175: PetscCall(MatDestroy(&X));
176: PetscCall(MatDestroy(&B));
177: }
178: PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCHPDDM, &flg));
179: #if defined(PETSC_HAVE_HPDDM) && defined(PETSC_HAVE_DYNAMIC_LIBRARIES) && defined(PETSC_USE_SHARED_LIBRARIES)
180: if (flg) PetscCall(PCHPDDMGetSTShareSubKSP(pc, &flg));
181: #endif
182: if (flg && PetscDefined(USE_LOG)) {
183: PetscCall(PetscOptionsHasName(NULL, NULL, "-pc_hpddm_harmonic_overlap", &flg));
184: if (!flg) {
185: PetscLogEvent event;
186: PetscEventPerfInfo info1, info2;
188: PetscCall(PetscLogEventRegister("MatLUFactorSym", PC_CLASSID, &event));
189: PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, event, &info1));
190: PetscCall(PetscLogEventRegister("MatLUFactorNum", PC_CLASSID, &event));
191: PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, event, &info2));
192: if (!info1.count && !info2.count) {
193: PetscCall(PetscLogEventRegister("MatCholFctrSym", PC_CLASSID, &event));
194: PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, event, &info1));
195: PetscCall(PetscLogEventRegister("MatCholFctrNum", PC_CLASSID, &event));
196: PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, event, &info2));
197: PetscCheck(info2.count > info1.count, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Cholesky numerical factorization (%d) not called more times than Cholesky symbolic factorization (%d), broken -pc_hpddm_levels_1_st_share_sub_ksp", info2.count, info1.count);
198: } else PetscCheck(info2.count > info1.count, PETSC_COMM_SELF, PETSC_ERR_PLIB, "LU numerical factorization (%d) not called more times than LU symbolic factorization (%d), broken -pc_hpddm_levels_1_st_share_sub_ksp", info2.count, info1.count);
199: }
200: }
201: #if defined(PETSC_HAVE_HPDDM) && defined(PETSC_HAVE_DYNAMIC_LIBRARIES) && defined(PETSC_USE_SHARED_LIBRARIES)
202: if (N == 1) {
203: flg = PETSC_FALSE;
204: PetscCall(PetscOptionsGetBool(NULL, NULL, "-successive_solves", &flg, NULL));
205: if (flg) {
206: KSPConvergedReason reason[2];
207: PetscInt iterations[3];
209: PetscCall(KSPGetConvergedReason(ksp, reason));
210: PetscCall(KSPGetTotalIterations(ksp, iterations));
211: PetscCall(PetscOptionsClearValue(NULL, "-ksp_converged_reason"));
212: PetscCall(KSPSetFromOptions(ksp));
213: flg = PETSC_FALSE;
214: PetscCall(PetscOptionsGetBool(NULL, NULL, "-pc_hpddm_block_splitting", &flg, NULL));
215: if (!flg) {
216: PetscCall(MatCreate(PETSC_COMM_SELF, &aux));
217: PetscCall(ISCreate(PETSC_COMM_SELF, &is));
218: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/is_%d_%d.dat", dir, rank, size));
219: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
220: PetscCall(ISLoad(is, viewer));
221: PetscCall(ISSetBlockSize(is, 2));
222: PetscCall(PetscViewerDestroy(&viewer));
223: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/Neumann_%d_%d.dat", dir, rank, size));
224: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
225: PetscCall(MatLoad(aux, viewer));
226: PetscCall(PetscViewerDestroy(&viewer));
227: PetscCall(MatSetBlockSizesFromMats(aux, A, A));
228: PetscCall(MatSetOption(aux, MAT_SYMMETRIC, PETSC_TRUE));
229: PetscCall(MatConvert(aux, type, MAT_INPLACE_MATRIX, &aux));
230: }
231: PetscCall(MatCreateVecs(A, NULL, &b));
232: PetscCall(PetscObjectStateIncrease((PetscObject)A));
233: if (!flg) PetscCall(PCHPDDMSetAuxiliaryMat(pc, NULL, aux, NULL, NULL));
234: PetscCall(VecSet(b, 1.0));
235: PetscCall(KSPSolve(ksp, b, b));
236: PetscCall(KSPGetConvergedReason(ksp, reason + 1));
237: PetscCall(KSPGetTotalIterations(ksp, iterations + 1));
238: iterations[1] -= iterations[0];
239: PetscCheck(reason[0] == reason[1] && PetscAbs(iterations[0] - iterations[1]) <= 3, PetscObjectComm((PetscObject)ksp), PETSC_ERR_PLIB, "Successive calls to KSPSolve() did not converge for the same reason (%s v. %s) or with the same number of iterations (+/- 3, %" PetscInt_FMT " v. %" PetscInt_FMT ")", KSPConvergedReasons[reason[0]], KSPConvergedReasons[reason[1]], iterations[0], iterations[1]);
240: PetscCall(PetscObjectStateIncrease((PetscObject)A));
241: if (!flg) PetscCall(PCHPDDMSetAuxiliaryMat(pc, is, aux, NULL, NULL));
242: PetscCall(PCSetFromOptions(pc));
243: PetscCall(VecSet(b, 1.0));
244: PetscCall(KSPSolve(ksp, b, b));
245: PetscCall(KSPGetConvergedReason(ksp, reason + 1));
246: PetscCall(KSPGetTotalIterations(ksp, iterations + 2));
247: iterations[2] -= iterations[0] + iterations[1];
248: PetscCheck(reason[0] == reason[1] && PetscAbs(iterations[0] - iterations[2]) <= 3, PetscObjectComm((PetscObject)ksp), PETSC_ERR_PLIB, "Successive calls to KSPSolve() did not converge for the same reason (%s v. %s) or with the same number of iterations (+/- 3, %" PetscInt_FMT " v. %" PetscInt_FMT ")", KSPConvergedReasons[reason[0]], KSPConvergedReasons[reason[1]], iterations[0], iterations[2]);
249: PetscCall(VecDestroy(&b));
250: PetscCall(ISDestroy(&is));
251: PetscCall(MatDestroy(&aux));
252: }
253: }
254: PetscCall(PetscOptionsGetBool(NULL, NULL, "-viewer", &flg, NULL));
255: if (flg) {
256: PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCHPDDM, &flg));
257: if (flg) {
258: PetscCall(PetscStrncpy(dir, "XXXXXX", sizeof(dir)));
259: if (rank == 0) PetscCall(PetscMkdtemp(dir));
260: PetscCallMPI(MPI_Bcast(dir, 6, MPI_CHAR, 0, PETSC_COMM_WORLD));
261: for (PetscInt i = 0; i < 2; ++i) {
262: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/%s", dir, (i == 0 ? "A" : "A.dat")));
263: PetscCall(PetscViewerASCIIOpen(PETSC_COMM_WORLD, name, &viewer));
264: PetscCall(PetscViewerPushFormat(viewer, PETSC_VIEWER_ASCII_INFO_DETAIL));
265: PetscCall(PCView(pc, viewer));
266: PetscCall(PetscViewerPopFormat(viewer));
267: PetscCall(PetscViewerDestroy(&viewer));
268: }
269: PetscCallMPI(MPI_Barrier(PETSC_COMM_WORLD));
270: if (rank == 0) PetscCall(PetscRMTree(dir));
271: }
272: }
273: #endif
274: PetscCall(KSPDestroy(&ksp));
275: PetscCall(MatDestroy(&A));
276: PetscCall(PetscFinalize());
277: return 0;
278: }
280: /*TEST
282: test:
283: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
284: nsize: 4
285: args: -ksp_rtol 1e-3 -ksp_converged_reason -pc_type {{bjacobi hpddm}shared output} -pc_hpddm_coarse_sub_pc_type lu -sub_pc_type lu -options_left no -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO
287: testset:
288: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
289: suffix: define_subdomains
290: nsize: 4
291: args: -ksp_rtol 1e-3 -ksp_converged_reason -pc_hpddm_define_subdomains -options_left no -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO
292: test:
293: args: -pc_type {{asm hpddm}shared output} -pc_hpddm_coarse_sub_pc_type lu -sub_pc_type lu -viewer
294: test:
295: args: -pc_type hpddm -pc_hpddm_levels_1_st_pc_type cholesky -pc_hpddm_levels_1_eps_nev 5 -pc_hpddm_coarse_sub_pc_type lu -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_coarse_correction none
297: testset:
298: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
299: nsize: 4
300: args: -ksp_converged_reason -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type cholesky -pc_hpddm_coarse_pc_type redundant -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO
301: test:
302: suffix: geneo
303: args: -pc_hpddm_coarse_p {{1 2}shared output} -pc_hpddm_levels_1_st_pc_type cholesky -pc_hpddm_levels_1_eps_nev {{5 15}separate output} -mat_type {{aij baij sbaij}shared output}
304: test:
305: suffix: geneo_block_splitting
306: output_file: output/ex76_geneo_pc_hpddm_levels_1_eps_nev-15.out
307: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 1[6-9]/Linear solve converged due to CONVERGED_RTOL iterations 11/g"
308: args: -pc_hpddm_coarse_p 2 -pc_hpddm_levels_1_eps_nev 15 -pc_hpddm_block_splitting -pc_hpddm_levels_1_st_pc_type lu -pc_hpddm_levels_1_eps_gen_non_hermitian -mat_type {{aij baij}shared output} -successive_solves
309: test:
310: suffix: geneo_share
311: output_file: output/ex76_geneo_pc_hpddm_levels_1_eps_nev-5.out
312: args: -pc_hpddm_levels_1_st_pc_type cholesky -pc_hpddm_levels_1_eps_nev 5 -pc_hpddm_levels_1_st_share_sub_ksp -reset {{false true}shared output}
313: test:
314: suffix: harmonic_overlap_1_define_false
315: output_file: output/ex76_geneo_share.out
316: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 1[0-3]/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
317: args: -pc_hpddm_harmonic_overlap 1 -pc_hpddm_levels_1_eps_nev 30 -pc_hpddm_levels_1_eps_relative_threshold 1e+1 -pc_hpddm_levels_1_st_pc_type lu -pc_hpddm_levels_1_eps_pc_type lu -pc_hpddm_define_subdomains false -pc_hpddm_levels_1_pc_type asm -pc_hpddm_levels_1_pc_asm_overlap 2 -mat_type baij
318: test:
319: suffix: harmonic_overlap_1
320: output_file: output/ex76_geneo_share.out
321: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 1[0-3]/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
322: args: -pc_hpddm_harmonic_overlap 1 -pc_hpddm_levels_1_eps_nev 30 -pc_hpddm_levels_1_eps_relative_threshold 1e+1 -pc_hpddm_levels_1_st_pc_type lu -pc_hpddm_levels_1_eps_pc_type lu -mat_type baij
323: test:
324: suffix: harmonic_overlap_1_share_petsc
325: output_file: output/ex76_geneo_share.out
326: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 1[0-3]/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
327: args: -pc_hpddm_harmonic_overlap 1 -pc_hpddm_levels_1_eps_nev 30 -pc_hpddm_levels_1_eps_relative_threshold 1e+1 -pc_hpddm_levels_1_st_pc_type lu -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_levels_1_sub_pc_factor_mat_solver_type petsc -pc_hpddm_levels_1_eps_pc_type lu -mat_type baij
328: test:
329: requires: mumps
330: suffix: harmonic_overlap_1_share_mumps
331: output_file: output/ex76_geneo_share.out
332: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 1[0-3]/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
333: args: -pc_hpddm_harmonic_overlap 1 -pc_hpddm_levels_1_eps_nev 30 -pc_hpddm_levels_1_eps_relative_threshold 1e+1 -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_levels_1_sub_pc_factor_mat_solver_type mumps
334: test:
335: requires: mumps
336: suffix: harmonic_overlap_1_share_mumps_not_set_explicitly
337: output_file: output/ex76_geneo_share.out
338: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 1[0-3]/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
339: args: -pc_hpddm_harmonic_overlap 1 -pc_hpddm_levels_1_eps_nev 30 -pc_hpddm_levels_1_eps_relative_threshold 1e+1 -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_levels_1_eps_mat_type baij
340: test:
341: requires: mkl_pardiso
342: suffix: harmonic_overlap_1_share_mkl_pardiso
343: output_file: output/ex76_geneo_share.out
344: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations [12][0-3]/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
345: args: -pc_hpddm_harmonic_overlap 1 -pc_hpddm_levels_1_eps_nev 30 -pc_hpddm_levels_1_eps_relative_threshold 1e+1 -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_levels_1_eps_mat_type shell -pc_hpddm_levels_1_sub_pc_factor_mat_solver_type mkl_pardiso
346: test:
347: requires: mkl_pardiso !mumps
348: suffix: harmonic_overlap_1_share_mkl_pardiso_no_set_explicitly
349: output_file: output/ex76_geneo_share.out
350: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations [12][0-3]/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
351: args: -pc_hpddm_harmonic_overlap 1 -pc_hpddm_levels_1_eps_nev 30 -pc_hpddm_levels_1_eps_relative_threshold 1e+1 -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_levels_1_eps_mat_type shell
352: test:
353: suffix: harmonic_overlap_2_relative_threshold
354: output_file: output/ex76_geneo_share.out
355: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 9/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
356: args: -pc_hpddm_harmonic_overlap 2 -pc_hpddm_levels_1_svd_nsv 15 -pc_hpddm_levels_1_svd_relative_threshold 1e-1 -pc_hpddm_levels_1_st_share_sub_ksp -mat_type sbaij
357: test:
358: suffix: harmonic_overlap_2
359: output_file: output/ex76_geneo_share.out
360: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 9/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
361: args: -pc_hpddm_harmonic_overlap 2 -pc_hpddm_levels_1_svd_nsv 12 -pc_hpddm_levels_1_st_share_sub_ksp -mat_type sbaij
363: testset:
364: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
365: nsize: 4
366: args: -ksp_converged_reason -ksp_max_it 150 -pc_type hpddm -pc_hpddm_levels_1_eps_nev 5 -pc_hpddm_coarse_p 1 -pc_hpddm_coarse_pc_type redundant -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO -pc_hpddm_define_subdomains
367: test:
368: suffix: geneo_share_cholesky
369: output_file: output/ex76_geneo_share.out
370: # extra -pc_hpddm_levels_1_eps_gen_non_hermitian needed to avoid failures with PETSc Cholesky
371: args: -pc_hpddm_levels_1_sub_pc_type cholesky -pc_hpddm_levels_1_st_pc_type cholesky -mat_type {{aij sbaij}shared output} -pc_hpddm_levels_1_eps_gen_non_hermitian -pc_hpddm_has_neumann -pc_hpddm_levels_1_st_share_sub_ksp {{false true}shared output} -successive_solves
372: test:
373: suffix: geneo_share_cholesky_matstructure
374: output_file: output/ex76_geneo_share.out
375: # extra -pc_hpddm_levels_1_eps_gen_non_hermitian needed to avoid failures with PETSc Cholesky
376: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 14/Linear solve converged due to CONVERGED_RTOL iterations 15/g"
377: args: -pc_hpddm_levels_1_sub_pc_type cholesky -mat_type {{baij sbaij}shared output} -pc_hpddm_levels_1_eps_gen_non_hermitian -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_levels_1_st_matstructure same -set_rhs {{false true} shared output}
378: test:
379: requires: mumps
380: suffix: geneo_share_lu
381: output_file: output/ex76_geneo_share.out
382: # extra -pc_factor_mat_solver_type mumps needed to avoid failures with PETSc LU
383: args: -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_st_pc_type lu -mat_type baij -pc_hpddm_levels_1_st_pc_factor_mat_solver_type mumps -pc_hpddm_levels_1_sub_pc_factor_mat_solver_type mumps -pc_hpddm_has_neumann -pc_hpddm_levels_1_st_share_sub_ksp {{false true}shared output}
384: test:
385: requires: mumps
386: suffix: geneo_share_lu_matstructure
387: output_file: output/ex76_geneo_share.out
388: # extra -pc_factor_mat_solver_type mumps needed to avoid failures with PETSc LU
389: args: -pc_hpddm_levels_1_sub_pc_type lu -mat_type aij -pc_hpddm_levels_1_sub_pc_factor_mat_solver_type mumps -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_levels_1_st_matstructure {{same different}shared output} -pc_hpddm_levels_1_st_pc_type lu -pc_hpddm_levels_1_st_pc_factor_mat_solver_type mumps -successive_solves -pc_hpddm_levels_1_eps_target 1e-5
390: test:
391: suffix: geneo_share_not_asm
392: output_file: output/ex76_geneo_pc_hpddm_levels_1_eps_nev-5.out
393: # extra -pc_hpddm_levels_1_eps_gen_non_hermitian needed to avoid failures with PETSc Cholesky
394: args: -pc_hpddm_levels_1_sub_pc_type cholesky -pc_hpddm_levels_1_st_pc_type cholesky -pc_hpddm_levels_1_eps_gen_non_hermitian -pc_hpddm_has_neumann -pc_hpddm_levels_1_st_share_sub_ksp true -pc_hpddm_levels_1_pc_type gasm -successive_solves
396: test:
397: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
398: suffix: fgmres_geneo_20_p_2
399: nsize: 4
400: args: -ksp_converged_reason -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 20 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_type fgmres -pc_hpddm_coarse_mat_type {{baij sbaij}shared output} -pc_hpddm_log_separate {{false true}shared output} -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO
402: testset:
403: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
404: output_file: output/ex76_fgmres_geneo_20_p_2.out
405: nsize: 4
406: args: -ksp_converged_reason -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type cholesky -pc_hpddm_levels_1_eps_nev 20 -pc_hpddm_levels_2_p 2 -pc_hpddm_levels_2_mat_type {{baij sbaij}shared output} -pc_hpddm_levels_2_eps_nev {{5 20}shared output} -pc_hpddm_levels_2_sub_pc_type cholesky -pc_hpddm_levels_2_ksp_type gmres -ksp_type fgmres -pc_hpddm_coarse_mat_type {{baij sbaij}shared output} -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO
407: test:
408: suffix: fgmres_geneo_20_p_2_geneo
409: args: -mat_type {{aij sbaij}shared output}
410: test:
411: suffix: fgmres_geneo_20_p_2_geneo_algebraic
412: args: -pc_hpddm_levels_2_st_pc_type mat
413: # PCHPDDM + KSPHPDDM test to exercise multilevel + multiple RHS in one go
414: test:
415: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
416: suffix: fgmres_geneo_20_p_2_geneo_rhs
417: output_file: output/ex76_fgmres_geneo_20_p_2.out
418: # for -pc_hpddm_coarse_correction additive
419: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 37/Linear solve converged due to CONVERGED_RTOL iterations 25/g"
420: nsize: 4
421: args: -ksp_converged_reason -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type cholesky -pc_hpddm_levels_1_eps_nev 20 -pc_hpddm_levels_2_p 2 -pc_hpddm_levels_2_mat_type baij -pc_hpddm_levels_2_eps_nev 5 -pc_hpddm_levels_2_sub_pc_type cholesky -pc_hpddm_levels_2_ksp_max_it 10 -pc_hpddm_levels_2_ksp_type hpddm -pc_hpddm_levels_2_ksp_hpddm_type gmres -ksp_type hpddm -ksp_hpddm_variant flexible -pc_hpddm_coarse_mat_type baij -mat_type aij -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO -rhs 4 -pc_hpddm_coarse_correction {{additive deflated balanced}shared output}
423: testset:
424: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) mumps defined(PETSC_HAVE_OPENMP_SUPPORT)
425: filter: grep -E -e "Linear solve" -e " executing" | sed -e "s/MPI = 1/MPI = 2/g" -e "s/OMP = 1/OMP = 2/g"
426: nsize: 4
427: args: -ksp_converged_reason -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type cholesky -pc_hpddm_levels_1_eps_nev 15 -pc_hpddm_levels_1_st_pc_type cholesky -pc_hpddm_coarse_p {{1 2}shared output} -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO -pc_hpddm_coarse_pc_factor_mat_solver_type mumps -pc_hpddm_coarse_mat_mumps_icntl_4 2 -pc_hpddm_coarse_mat_mumps_use_omp_threads {{1 2}shared output}
428: test:
429: suffix: geneo_mumps_use_omp_threads_1
430: output_file: output/ex76_geneo_mumps_use_omp_threads.out
431: args: -pc_hpddm_coarse_mat_type {{baij sbaij}shared output}
432: test:
433: suffix: geneo_mumps_use_omp_threads_2
434: output_file: output/ex76_geneo_mumps_use_omp_threads.out
435: args: -pc_hpddm_coarse_mat_type aij -pc_hpddm_levels_1_eps_threshold 0.4 -pc_hpddm_coarse_pc_type cholesky -pc_hpddm_coarse_mat_filter 1e-12
437: testset: # converge really poorly because of a tiny -pc_hpddm_levels_1_eps_threshold, but needed for proper code coverage where some subdomains don't call EPSSolve()
438: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
439: nsize: 4
440: args: -ksp_converged_reason -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type cholesky -pc_hpddm_levels_1_eps_threshold 0.005 -pc_hpddm_levels_1_eps_use_inertia -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_define_subdomains -pc_hpddm_has_neumann -ksp_rtol 0.9
441: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 1/Linear solve converged due to CONVERGED_RTOL iterations 141/g"
442: test:
443: suffix: inertia_petsc
444: output_file: output/ex76_1.out
445: args: -pc_hpddm_levels_1_sub_pc_factor_mat_solver_type petsc
446: test:
447: suffix: inertia_mumps
448: output_file: output/ex76_1.out
449: requires: mumps
451: test:
452: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
453: suffix: reuse_symbolic
454: output_file: output/ex77_preonly.out
455: nsize: 4
456: args: -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type cholesky -pc_hpddm_levels_1_eps_nev 20 -rhs 4 -pc_hpddm_coarse_correction {{additive deflated balanced}shared output} -ksp_pc_side {{left right}shared output} -ksp_max_it 20 -ksp_type hpddm -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO -pc_hpddm_define_subdomains -ksp_error_if_not_converged
458: TEST*/