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;
20: #if defined(PETSC_USE_LOG)
21: PetscLogEvent event;
22: #endif
23: PetscEventPerfInfo info1, info2;
25: PetscFunctionBeginUser;
26: PetscCall(PetscInitialize(&argc, &args, NULL, help));
27: PetscCall(PetscLogDefaultBegin());
28: PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
29: PetscCheck(size == 4, PETSC_COMM_WORLD, PETSC_ERR_USER, "This example requires 4 processes");
30: PetscCall(PetscOptionsGetInt(NULL, NULL, "-rhs", &N, NULL));
31: PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
32: PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
33: PetscCall(MatCreate(PETSC_COMM_SELF, &aux));
34: PetscCall(ISCreate(PETSC_COMM_SELF, &is));
35: PetscCall(PetscStrncpy(dir, ".", sizeof(dir)));
36: PetscCall(PetscOptionsGetString(NULL, NULL, "-load_dir", dir, sizeof(dir), NULL));
37: /* loading matrices */
38: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/sizes_%d_%d.dat", dir, rank, size));
39: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
40: PetscCall(ISCreate(PETSC_COMM_SELF, &sizes));
41: PetscCall(ISLoad(sizes, viewer));
42: PetscCall(ISGetIndices(sizes, &idx));
43: PetscCall(MatSetSizes(A, idx[0], idx[1], idx[2], idx[3]));
44: PetscCall(MatSetUp(A));
45: PetscCall(ISRestoreIndices(sizes, &idx));
46: PetscCall(ISDestroy(&sizes));
47: PetscCall(PetscViewerDestroy(&viewer));
48: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/A.dat", dir));
49: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD, name, FILE_MODE_READ, &viewer));
50: PetscCall(MatLoad(A, viewer));
51: PetscCall(PetscViewerDestroy(&viewer));
52: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/is_%d_%d.dat", dir, rank, size));
53: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
54: PetscCall(ISLoad(is, viewer));
55: PetscCall(PetscViewerDestroy(&viewer));
56: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/Neumann_%d_%d.dat", dir, rank, size));
57: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
58: PetscCall(MatLoad(aux, viewer));
59: PetscCall(PetscViewerDestroy(&viewer));
60: flg = PETSC_FALSE;
61: PetscCall(PetscOptionsGetBool(NULL, NULL, "-pc_hpddm_levels_1_st_share_sub_ksp", &flg, &set));
62: if (flg) { /* PETSc LU/Cholesky is struggling numerically for bs > 1 */
63: /* only set the proper bs for the geneo_share_* tests, 1 otherwise */
64: PetscCall(MatSetBlockSizesFromMats(aux, A, A));
65: share = PETSC_BOOL3_TRUE;
66: } else if (set) share = PETSC_BOOL3_FALSE;
67: PetscCall(MatSetOption(A, MAT_SYMMETRIC, PETSC_TRUE));
68: PetscCall(MatSetOption(aux, MAT_SYMMETRIC, PETSC_TRUE));
69: /* ready for testing */
70: PetscOptionsBegin(PETSC_COMM_WORLD, "", "", "");
71: PetscCall(PetscStrncpy(type, MATAIJ, sizeof(type)));
72: PetscCall(PetscOptionsFList("-mat_type", "Matrix type", "MatSetType", MatList, type, type, 256, &flg));
73: PetscOptionsEnd();
74: PetscCall(MatConvert(A, type, MAT_INPLACE_MATRIX, &A));
75: PetscCall(MatConvert(aux, type, MAT_INPLACE_MATRIX, &aux));
76: PetscCall(KSPCreate(PETSC_COMM_WORLD, &ksp));
77: PetscCall(KSPSetOperators(ksp, A, A));
78: PetscCall(KSPGetPC(ksp, &pc));
79: PetscCall(PCSetType(pc, PCHPDDM));
80: #if defined(PETSC_HAVE_HPDDM) && defined(PETSC_HAVE_DYNAMIC_LIBRARIES) && defined(PETSC_USE_SHARED_LIBRARIES)
81: flg = PETSC_FALSE;
82: PetscCall(PetscOptionsGetBool(NULL, NULL, "-reset", &flg, NULL));
83: if (flg) {
84: PetscCall(PetscOptionsSetValue(NULL, "-pc_hpddm_block_splitting", "true"));
85: PetscCall(PCSetFromOptions(pc));
86: PetscCall(PCSetUp(pc));
87: PetscCall(PetscOptionsClearValue(NULL, "-pc_hpddm_block_splitting"));
88: }
89: PetscCall(PCHPDDMSetAuxiliaryMat(pc, is, aux, NULL, NULL));
90: PetscCall(PCHPDDMHasNeumannMat(pc, PETSC_FALSE)); /* PETSC_TRUE is fine as well, just testing */
91: if (share == PETSC_BOOL3_UNKNOWN) PetscCall(PCHPDDMSetSTShareSubKSP(pc, PetscBool3ToBool(share)));
92: flg = PETSC_FALSE;
93: PetscCall(PetscOptionsGetBool(NULL, NULL, "-set_rhs", &flg, NULL));
94: if (flg) { /* user-provided RHS for concurrent generalized eigenvalue problems */
95: Mat a, c, P; /* usually assembled automatically in PCHPDDM, this is solely for testing PCHPDDMSetRHSMat() */
96: PetscInt rstart, rend, location;
97: PetscCall(MatDuplicate(aux, MAT_DO_NOT_COPY_VALUES, &B)); /* duplicate so that MatStructure is SAME_NONZERO_PATTERN */
98: PetscCall(MatGetDiagonalBlock(A, &a));
99: PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
100: PetscCall(ISGetLocalSize(is, &m));
101: PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, rend - rstart, m, 1, NULL, &P));
102: for (m = rstart; m < rend; ++m) {
103: PetscCall(ISLocate(is, m, &location));
104: PetscCheck(location >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "IS of the auxiliary Mat does not include all local rows of A");
105: PetscCall(MatSetValue(P, m - rstart, location, 1.0, INSERT_VALUES));
106: }
107: PetscCall(MatAssemblyBegin(P, MAT_FINAL_ASSEMBLY));
108: PetscCall(MatAssemblyEnd(P, MAT_FINAL_ASSEMBLY));
109: PetscCall(PetscObjectTypeCompare((PetscObject)a, MATSEQAIJ, &flg));
110: if (flg) PetscCall(MatPtAP(a, P, MAT_INITIAL_MATRIX, 1.0, &X)); /* MatPtAP() is used to extend diagonal blocks with zeros on the overlap */
111: else { /* workaround for MatPtAP() limitations with some types */ PetscCall(MatConvert(a, MATSEQAIJ, MAT_INITIAL_MATRIX, &c));
112: PetscCall(MatPtAP(c, P, MAT_INITIAL_MATRIX, 1.0, &X));
113: PetscCall(MatDestroy(&c));
114: }
115: PetscCall(MatDestroy(&P));
116: PetscCall(MatAXPY(B, 1.0, X, SUBSET_NONZERO_PATTERN));
117: PetscCall(MatDestroy(&X));
118: PetscCall(MatSetOption(B, MAT_SYMMETRIC, PETSC_TRUE));
119: PetscCall(PCHPDDMSetRHSMat(pc, B));
120: PetscCall(MatDestroy(&B));
121: }
122: #else
123: (void)share;
124: #endif
125: PetscCall(MatDestroy(&aux));
126: PetscCall(KSPSetFromOptions(ksp));
127: PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &flg));
128: if (flg) {
129: flg = PETSC_FALSE;
130: PetscCall(PetscOptionsGetBool(NULL, NULL, "-pc_hpddm_define_subdomains", &flg, NULL));
131: if (flg) {
132: IS rows;
133: PetscCall(MatGetOwnershipIS(A, &rows, NULL));
134: PetscCall(PCASMSetLocalSubdomains(pc, 1, &is, &rows));
135: PetscCall(ISDestroy(&rows));
136: }
137: }
138: PetscCall(ISDestroy(&is));
139: PetscCall(MatCreateVecs(A, NULL, &b));
140: PetscCall(VecSet(b, 1.0));
141: PetscCall(KSPSolve(ksp, b, b));
142: PetscCall(VecGetLocalSize(b, &m));
143: PetscCall(VecDestroy(&b));
144: if (N > 1) {
145: 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;
160: PetscCall(KSPHPDDMGetType(ksp, &type));
161: if (type == KSP_HPDDM_TYPE_PREONLY || type == KSP_HPDDM_TYPE_CG || type == KSP_HPDDM_TYPE_GMRES || type == KSP_HPDDM_TYPE_GCRODR) {
162: Mat C;
163: PetscCall(MatDuplicate(X, MAT_DO_NOT_COPY_VALUES, &C));
164: PetscCall(KSPSetMatSolveBatchSize(ksp, 1));
165: PetscCall(KSPMatSolve(ksp, B, C));
166: PetscCall(MatAYPX(C, -1.0, X, SAME_NONZERO_PATTERN));
167: PetscCall(MatNorm(C, NORM_INFINITY, &norm));
168: PetscCall(MatDestroy(&C));
169: 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]);
170: }
171: }
172: #endif
173: PetscCall(MatDestroy(&X));
174: PetscCall(MatDestroy(&B));
175: }
176: PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCHPDDM, &flg));
177: #if defined(PETSC_HAVE_HPDDM) && defined(PETSC_HAVE_DYNAMIC_LIBRARIES) && defined(PETSC_USE_SHARED_LIBRARIES)
178: if (flg) PetscCall(PCHPDDMGetSTShareSubKSP(pc, &flg));
179: #endif
180: if (flg && PetscDefined(USE_LOG)) {
181: PetscCall(PetscLogEventRegister("MatLUFactorSym", PC_CLASSID, &event));
182: PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, event, &info1));
183: PetscCall(PetscLogEventRegister("MatLUFactorNum", PC_CLASSID, &event));
184: PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, event, &info2));
185: if (!info1.count && !info2.count) {
186: PetscCall(PetscLogEventRegister("MatCholFctrSym", PC_CLASSID, &event));
187: PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, event, &info1));
188: PetscCall(PetscLogEventRegister("MatCholFctrNum", PC_CLASSID, &event));
189: PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, event, &info2));
190: 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);
191: } 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);
192: }
193: #if defined(PETSC_HAVE_HPDDM) && defined(PETSC_HAVE_DYNAMIC_LIBRARIES) && defined(PETSC_USE_SHARED_LIBRARIES)
194: if (N == 1) {
195: flg = PETSC_FALSE;
196: PetscCall(PetscOptionsGetBool(NULL, NULL, "-successive_solves", &flg, NULL));
197: if (flg) {
198: KSPConvergedReason reason[2];
199: PetscInt iterations[3];
200: PetscCall(KSPGetConvergedReason(ksp, reason));
201: PetscCall(KSPGetTotalIterations(ksp, iterations));
202: PetscCall(PetscOptionsClearValue(NULL, "-ksp_converged_reason"));
203: flg = PETSC_FALSE;
204: PetscCall(PetscOptionsGetBool(NULL, NULL, "-pc_hpddm_block_splitting", &flg, NULL));
205: if (!flg) {
206: PetscCall(MatCreate(PETSC_COMM_SELF, &aux));
207: PetscCall(ISCreate(PETSC_COMM_SELF, &is));
208: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/is_%d_%d.dat", dir, rank, size));
209: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
210: PetscCall(ISLoad(is, viewer));
211: PetscCall(PetscViewerDestroy(&viewer));
212: PetscCall(PetscSNPrintf(name, sizeof(name), "%s/Neumann_%d_%d.dat", dir, rank, size));
213: PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, name, FILE_MODE_READ, &viewer));
214: PetscCall(MatLoad(aux, viewer));
215: PetscCall(PetscViewerDestroy(&viewer));
216: PetscCall(MatSetBlockSizesFromMats(aux, A, A));
217: PetscCall(MatSetOption(aux, MAT_SYMMETRIC, PETSC_TRUE));
218: PetscCall(MatConvert(aux, type, MAT_INPLACE_MATRIX, &aux));
219: }
220: PetscCall(MatCreateVecs(A, NULL, &b));
221: PetscCall(PetscObjectStateIncrease((PetscObject)A));
222: if (!flg) PetscCall(PCHPDDMSetAuxiliaryMat(pc, NULL, aux, NULL, NULL));
223: PetscCall(VecSet(b, 1.0));
224: PetscCall(KSPSolve(ksp, b, b));
225: PetscCall(KSPGetConvergedReason(ksp, reason + 1));
226: PetscCall(KSPGetTotalIterations(ksp, iterations + 1));
227: iterations[1] -= iterations[0];
228: 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 or with the same number of iterations (+/- 3)");
229: PetscCall(PetscObjectStateIncrease((PetscObject)A));
230: if (!flg) PetscCall(PCHPDDMSetAuxiliaryMat(pc, is, aux, NULL, NULL));
231: PetscCall(PCSetFromOptions(pc));
232: PetscCall(VecSet(b, 1.0));
233: PetscCall(KSPSolve(ksp, b, b));
234: PetscCall(KSPGetConvergedReason(ksp, reason + 1));
235: PetscCall(KSPGetTotalIterations(ksp, iterations + 2));
236: iterations[2] -= iterations[0] + iterations[1];
237: 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 or with the same number of iterations (+/- 3)");
238: PetscCall(VecDestroy(&b));
239: PetscCall(ISDestroy(&is));
240: PetscCall(MatDestroy(&aux));
241: }
242: }
243: #endif
244: PetscCall(KSPDestroy(&ksp));
245: PetscCall(MatDestroy(&A));
246: PetscCall(PetscFinalize());
247: return 0;
248: }
250: /*TEST
252: test:
253: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
254: nsize: 4
255: 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
257: test:
258: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
259: suffix: define_subdomains
260: nsize: 4
261: args: -ksp_rtol 1e-3 -ksp_converged_reason -pc_type {{asm hpddm}shared output} -pc_hpddm_coarse_sub_pc_type lu -sub_pc_type lu -pc_hpddm_define_subdomains -options_left no -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO
263: testset:
264: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
265: nsize: 4
266: 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
267: test:
268: suffix: geneo
269: 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}
270: test:
271: suffix: geneo_block_splitting
272: output_file: output/ex76_geneo_pc_hpddm_levels_1_eps_nev-15.out
273: 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"
274: 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
275: test:
276: suffix: geneo_share
277: output_file: output/ex76_geneo_pc_hpddm_levels_1_eps_nev-5.out
278: 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}
280: testset:
281: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
282: nsize: 4
283: 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
284: test:
285: suffix: geneo_share_cholesky
286: output_file: output/ex76_geneo_share.out
287: # extra -pc_hpddm_levels_1_eps_gen_non_hermitian needed to avoid failures with PETSc Cholesky
288: 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
289: test:
290: suffix: geneo_share_cholesky_matstructure
291: output_file: output/ex76_geneo_share.out
292: # extra -pc_hpddm_levels_1_eps_gen_non_hermitian needed to avoid failures with PETSc Cholesky
293: 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}
294: test:
295: requires: mumps
296: suffix: geneo_share_lu
297: output_file: output/ex76_geneo_share.out
298: # extra -pc_factor_mat_solver_type mumps needed to avoid failures with PETSc LU
299: 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}
300: test:
301: requires: mumps
302: suffix: geneo_share_lu_matstructure
303: output_file: output/ex76_geneo_share.out
304: # extra -pc_factor_mat_solver_type mumps needed to avoid failures with PETSc LU
305: 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
306: test:
307: suffix: geneo_share_not_asm
308: output_file: output/ex76_geneo_pc_hpddm_levels_1_eps_nev-5.out
309: # extra -pc_hpddm_levels_1_eps_gen_non_hermitian needed to avoid failures with PETSc Cholesky
310: 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
312: test:
313: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
314: suffix: fgmres_geneo_20_p_2
315: nsize: 4
316: 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
318: testset:
319: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
320: output_file: output/ex76_fgmres_geneo_20_p_2.out
321: nsize: 4
322: 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
323: test:
324: suffix: fgmres_geneo_20_p_2_geneo
325: args: -mat_type {{aij sbaij}shared output}
326: test:
327: suffix: fgmres_geneo_20_p_2_geneo_algebraic
328: args: -pc_hpddm_levels_2_st_pc_type mat
329: # PCHPDDM + KSPHPDDM test to exercise multilevel + multiple RHS in one go
330: test:
331: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
332: suffix: fgmres_geneo_20_p_2_geneo_rhs
333: output_file: output/ex76_fgmres_geneo_20_p_2.out
334: # for -pc_hpddm_coarse_correction additive
335: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 37/Linear solve converged due to CONVERGED_RTOL iterations 25/g"
336: nsize: 4
337: 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}
339: testset:
340: 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)
341: filter: grep -E -e "Linear solve" -e " executing" | sed -e "s/MPI = 1/MPI = 2/g" -e "s/OMP = 1/OMP = 2/g"
342: nsize: 4
343: 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}
344: test:
345: suffix: geneo_mumps_use_omp_threads_1
346: output_file: output/ex76_geneo_mumps_use_omp_threads.out
347: args: -pc_hpddm_coarse_mat_type {{baij sbaij}shared output}
348: test:
349: suffix: geneo_mumps_use_omp_threads_2
350: output_file: output/ex76_geneo_mumps_use_omp_threads.out
351: args: -pc_hpddm_coarse_mat_type aij -pc_hpddm_levels_1_eps_threshold 0.3 -pc_hpddm_coarse_pc_type cholesky -pc_hpddm_coarse_mat_chop 1e-12
353: 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()
354: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
355: nsize: 4
356: 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_coarse_pc_type cholesky -pc_hpddm_levels_1_st_share_sub_ksp -pc_hpddm_define_subdomains -pc_hpddm_has_neumann -ksp_rtol 0.9
357: filter: sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 1/Linear solve converged due to CONVERGED_RTOL iterations 141/g"
358: test:
359: suffix: inertia_petsc
360: output_file: output/ex76_1.out
361: args: -pc_hpddm_levels_1_sub_pc_factor_mat_solver_type petsc
362: test:
363: suffix: inertia_mumps
364: output_file: output/ex76_1.out
365: requires: mumps
367: test:
368: requires: hpddm slepc datafilespath double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
369: suffix: reuse_symbolic
370: output_file: output/ex77_preonly.out
371: nsize: 4
372: 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
374: TEST*/