xref: /petsc/src/snes/tests/ex13.c (revision 030f984af8d8bb4c203755d35bded3c05b3d83ce)
1 static char help[] = "Benchmark Poisson Problem in 2d and 3d with finite elements.\n\
2 We solve the Poisson problem in a rectangular domain\n\
3 using a parallel unstructured mesh (DMPLEX) to discretize it.\n\n\n";
4 
5 #include <petscdmplex.h>
6 #include <petscsnes.h>
7 #include <petscds.h>
8 #include <petscconvest.h>
9 
10 typedef struct {
11   PetscInt  nit;    /* Number of benchmark iterations */
12   PetscBool strong; /* Do not integrate the Laplacian by parts */
13 } AppCtx;
14 
15 static PetscErrorCode trig_u(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
16 {
17   PetscInt d;
18   *u = 0.0;
19   for (d = 0; d < dim; ++d) *u += PetscSinReal(2.0*PETSC_PI*x[d]);
20   return 0;
21 }
22 
23 static void f0_trig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux,
24                       const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[],
25                       const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[],
26                       PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
27 {
28   PetscInt d;
29   for (d = 0; d < dim; ++d) f0[0] += -4.0*PetscSqr(PETSC_PI)*PetscSinReal(2.0*PETSC_PI*x[d]);
30 }
31 
32 static void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux,
33                  const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[],
34                  const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[],
35                  PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
36 {
37   PetscInt d;
38   for (d = 0; d < dim; ++d) f1[d] = u_x[d];
39 }
40 
41 static void g3_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux,
42                   const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[],
43                   const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[],
44                   PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
45 {
46   PetscInt d;
47   for (d = 0; d < dim; ++d) g3[d*dim+d] = 1.0;
48 }
49 
50 static PetscErrorCode quadratic_u(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
51 {
52   *u = PetscSqr(x[0]) + PetscSqr(x[1]);
53   return 0;
54 }
55 
56 static void f0_strong_u(PetscInt dim, PetscInt Nf, PetscInt NfAux,
57                         const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[],
58                         const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[],
59                         PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
60 {
61   PetscInt d;
62   for (d = 0; d < dim; ++d) f0[0] -= u_x[dim + d*dim+d];
63   f0[0] += 4.0;
64 }
65 
66 static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options)
67 {
68   PetscErrorCode ierr;
69 
70   PetscFunctionBeginUser;
71   options->nit    = 10;
72   options->strong = PETSC_FALSE;
73   ierr = PetscOptionsBegin(comm, "", "Poisson Problem Options", "DMPLEX");CHKERRQ(ierr);
74   ierr = PetscOptionsInt("-benchmark_it", "Solve the benchmark problem this many times", "ex13.c", options->nit, &options->nit, NULL);CHKERRQ(ierr);
75   ierr = PetscOptionsBool("-strong", "Do not integrate the Laplacian by parts", "ex13.c", options->strong, &options->strong, NULL);CHKERRQ(ierr);
76   ierr = PetscOptionsEnd();CHKERRQ(ierr);
77   PetscFunctionReturn(0);
78 }
79 
80 static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm)
81 {
82   PetscErrorCode ierr;
83 
84   PetscFunctionBeginUser;
85   ierr = DMCreate(comm, dm);CHKERRQ(ierr);
86   ierr = DMSetType(*dm, DMPLEX);CHKERRQ(ierr);
87   ierr = DMSetFromOptions(*dm);CHKERRQ(ierr);
88   ierr = DMSetApplicationContext(*dm, user);CHKERRQ(ierr);
89   ierr = DMViewFromOptions(*dm, NULL, "-dm_view");CHKERRQ(ierr);
90   PetscFunctionReturn(0);
91 }
92 
93 static PetscErrorCode SetupPrimalProblem(DM dm, AppCtx *user)
94 {
95   PetscDS        ds;
96   DMLabel        label;
97   const PetscInt id = 1;
98   PetscErrorCode ierr;
99 
100   PetscFunctionBeginUser;
101   ierr = DMGetDS(dm, &ds);CHKERRQ(ierr);
102   ierr = DMGetLabel(dm, "marker", &label);CHKERRQ(ierr);
103   if (user->strong) {
104     ierr = PetscDSSetResidual(ds, 0, f0_strong_u, NULL);CHKERRQ(ierr);
105     ierr = PetscDSSetExactSolution(ds, 0, quadratic_u, user);CHKERRQ(ierr);
106     ierr = DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, (void (*)(void)) quadratic_u, NULL, user, NULL);CHKERRQ(ierr);
107   } else {
108     ierr = PetscDSSetResidual(ds, 0, f0_trig_u, f1_u);CHKERRQ(ierr);
109     ierr = PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu);CHKERRQ(ierr);
110     ierr = PetscDSSetExactSolution(ds, 0, trig_u, user);CHKERRQ(ierr);
111     ierr = DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, (void (*)(void)) trig_u, NULL, user, NULL);CHKERRQ(ierr);
112   }
113   PetscFunctionReturn(0);
114 }
115 
116 static PetscErrorCode SetupDiscretization(DM dm, const char name[], PetscErrorCode (*setup)(DM, AppCtx *), AppCtx *user)
117 {
118   DM             cdm = dm;
119   PetscFE        fe;
120   DMPolytopeType ct;
121   PetscBool      simplex;
122   PetscInt       dim, cStart;
123   char           prefix[PETSC_MAX_PATH_LEN];
124   PetscErrorCode ierr;
125 
126   PetscFunctionBeginUser;
127   ierr = DMGetDimension(dm, &dim);CHKERRQ(ierr);
128   ierr = DMPlexGetHeightStratum(dm, 0, &cStart, NULL);CHKERRQ(ierr);
129   ierr = DMPlexGetCellType(dm, cStart, &ct);CHKERRQ(ierr);
130   simplex = DMPolytopeTypeGetNumVertices(ct) == DMPolytopeTypeGetDim(ct)+1 ? PETSC_TRUE : PETSC_FALSE;
131   /* Create finite element */
132   ierr = PetscSNPrintf(prefix, PETSC_MAX_PATH_LEN, "%s_", name);CHKERRQ(ierr);
133   ierr = PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, name ? prefix : NULL, -1, &fe);CHKERRQ(ierr);
134   ierr = PetscObjectSetName((PetscObject) fe, name);CHKERRQ(ierr);
135   /* Set discretization and boundary conditions for each mesh */
136   ierr = DMSetField(dm, 0, NULL, (PetscObject) fe);CHKERRQ(ierr);
137   ierr = DMCreateDS(dm);CHKERRQ(ierr);
138   ierr = (*setup)(dm, user);CHKERRQ(ierr);
139   while (cdm) {
140     ierr = DMCopyDisc(dm,cdm);CHKERRQ(ierr);
141     /* TODO: Check whether the boundary of coarse meshes is marked */
142     ierr = DMGetCoarseDM(cdm, &cdm);CHKERRQ(ierr);
143   }
144   ierr = PetscFEDestroy(&fe);CHKERRQ(ierr);
145   PetscFunctionReturn(0);
146 }
147 
148 int main(int argc, char **argv)
149 {
150   DM             dm;   /* Problem specification */
151   SNES           snes; /* Nonlinear solver */
152   Vec            u;    /* Solutions */
153   AppCtx         user; /* User-defined work context */
154   PetscErrorCode ierr;
155 
156   ierr = PetscInitialize(&argc, &argv, NULL,help);if (ierr) return ierr;
157   ierr = ProcessOptions(PETSC_COMM_WORLD, &user);CHKERRQ(ierr);
158   /* Primal system */
159   ierr = SNESCreate(PETSC_COMM_WORLD, &snes);CHKERRQ(ierr);
160   ierr = CreateMesh(PETSC_COMM_WORLD, &user, &dm);CHKERRQ(ierr);
161   ierr = SNESSetDM(snes, dm);CHKERRQ(ierr);
162   ierr = SetupDiscretization(dm, "potential", SetupPrimalProblem, &user);CHKERRQ(ierr);
163   ierr = DMCreateGlobalVector(dm, &u);CHKERRQ(ierr);
164   ierr = VecSet(u, 0.0);CHKERRQ(ierr);
165   ierr = PetscObjectSetName((PetscObject) u, "potential");CHKERRQ(ierr);
166   ierr = DMPlexSetSNESLocalFEM(dm, &user, &user, &user);CHKERRQ(ierr);
167   ierr = SNESSetFromOptions(snes);CHKERRQ(ierr);
168   ierr = DMSNESCheckFromOptions(snes, u);CHKERRQ(ierr);
169   ierr = SNESSolve(snes, NULL, u);CHKERRQ(ierr);
170   /* Benchmark system */
171   if (user.nit) {
172 #if defined(PETSC_USE_LOG)
173     PetscLogStage kspstage,pcstage;
174 #endif
175     KSP       ksp;
176     PC        pc;
177     Mat       A,P;
178     Vec       b;
179     PetscInt  i;
180     ierr = PetscOptionsClearValue(NULL,"-ksp_monitor");CHKERRQ(ierr);
181     ierr = SNESGetKSP(snes, &ksp);CHKERRQ(ierr);
182     ierr = SNESGetSolution(snes, &u);CHKERRQ(ierr);
183     ierr = SNESGetJacobian(snes, &A, &P, NULL, NULL);CHKERRQ(ierr);
184     ierr = VecSet(u, 0.0);CHKERRQ(ierr);
185     ierr = SNESGetFunction(snes, &b, NULL, NULL);CHKERRQ(ierr);
186     ierr = SNESComputeFunction(snes, u, b);CHKERRQ(ierr);
187     ierr = SNESComputeJacobian(snes, u, A, P);CHKERRQ(ierr);
188     ierr = KSPGetPC(ksp, &pc);CHKERRQ(ierr);
189     ierr = PetscLogStageRegister("PCSetUp", &pcstage);CHKERRQ(ierr);
190     ierr = PetscLogStagePush(pcstage);CHKERRQ(ierr);
191     ierr = PCSetUp(pc);CHKERRQ(ierr);
192     ierr = PetscLogStagePop();CHKERRQ(ierr);
193     ierr = PetscLogStageRegister("KSP Solve only", &kspstage);CHKERRQ(ierr);
194     ierr = PetscLogStagePush(kspstage);CHKERRQ(ierr);
195     for (i=0;i<user.nit;i++) {
196       ierr = VecZeroEntries(u);CHKERRQ(ierr);
197       ierr = KSPSolve(ksp, b, u);CHKERRQ(ierr);
198     }
199     ierr = PetscLogStagePop();CHKERRQ(ierr);
200   }
201   ierr = SNESGetSolution(snes, &u);CHKERRQ(ierr);
202   ierr = VecViewFromOptions(u, NULL, "-potential_view");CHKERRQ(ierr);
203   /* Cleanup */
204   ierr = VecDestroy(&u);CHKERRQ(ierr);
205   ierr = SNESDestroy(&snes);CHKERRQ(ierr);
206   ierr = DMDestroy(&dm);CHKERRQ(ierr);
207   ierr = PetscFinalize();
208   return ierr;
209 }
210 
211 /*TEST
212 
213   test:
214     suffix: strong
215     requires: triangle
216     args: -dm_plex_dim 2 -dm_refine 1 -benchmark_it 0 -dmsnes_check \
217           -potential_petscspace_degree 2 -dm_ds_jet_degree 2 -strong
218 
219   test:
220     suffix: bench
221     nsize: 4
222     args: -dm_plex_dim 3 -dm_plex_simplex 0 -dm_plex_box_faces 2,2,8 -dm_refine 1 -dm_distribute \
223           -petscpartitioner_type simple -petscpartitioner_simple_process_grid 1,1,2 -petscpartitioner_simple_node_grid 1,1,2 \
224           -potential_petscspace_degree 2 -ksp_type cg -pc_type gamg -benchmark_it 1 -dm_view -snes_rtol 1.e-4
225 
226   test:
227     suffix: comparison
228     nsize: 4
229     args: -dm_plex_dim 2 -dm_plex_box_faces 4,4 -dm_refine 3 -petscpartitioner_simple_process_grid 2,2 \
230       -petscpartitioner_simple_node_grid 1,1 -potential_petscspace_degree 2 -dm_distribute -petscpartitioner_type simple \
231       -dm_plex_simplex 0 -snes_monitor_short -snes_type ksponly -dm_view -pc_type gamg -pc_gamg_process_eq_limit 400 -ksp_norm_type unpreconditioned \
232       -pc_gamg_coarse_eq_limit 10 -snes_converged_reason -ksp_converged_reason -snes_rtol 1.e-4
233 
234   test:
235     suffix: cuda
236     nsize: 4
237     requires: cuda
238     output_file: output/ex13_comparison.out
239     args: -dm_plex_dim 2 -dm_plex_box_faces 4,4 -dm_refine 3 -petscpartitioner_simple_process_grid 2,2 \
240       -petscpartitioner_simple_node_grid 1,1 -potential_petscspace_degree 2 -dm_distribute -petscpartitioner_type simple \
241       -dm_plex_simplex 0 -snes_monitor_short -snes_type ksponly -dm_view -pc_type gamg -pc_gamg_process_eq_limit 400 -ksp_norm_type unpreconditioned \
242       -pc_gamg_coarse_eq_limit 10 -snes_converged_reason -ksp_converged_reason -snes_rtol 1.e-4 -dm_mat_type aijcusparse -dm_vec_type cuda
243 
244   test:
245     suffix: kokkos_comp
246     nsize: 4
247     requires: kokkos_kernels
248     output_file: output/ex13_comparison.out
249     args: -dm_plex_dim 2 -dm_plex_box_faces 4,4 -dm_refine 3 -petscpartitioner_simple_process_grid 2,2 \
250       -petscpartitioner_simple_node_grid 1,1 -potential_petscspace_degree 2 -dm_distribute -petscpartitioner_type simple \
251       -dm_plex_simplex 0 -snes_monitor_short -snes_type ksponly -dm_view -pc_type gamg -pc_gamg_process_eq_limit 400 -ksp_norm_type unpreconditioned \
252       -pc_gamg_coarse_eq_limit 10 -snes_converged_reason -ksp_converged_reason -snes_rtol 1.e-4 -dm_mat_type aijkokkos -dm_vec_type kokkos
253 
254   test:
255     nsize: 4
256     requires: kokkos_kernels
257     suffix: kokkos
258     args: -dm_plex_dim 2 -dm_plex_box_faces 2,8 -dm_distribute -petscpartitioner_type simple -petscpartitioner_simple_process_grid 2,1 \
259           -petscpartitioner_simple_node_grid 2,1 -dm_plex_simplex 0 -potential_petscspace_degree 1 -dm_refine 1 -ksp_type cg -pc_type gamg -ksp_norm_type unpreconditioned \
260           -mg_levels_esteig_ksp_type cg -mg_levels_pc_type jacobi -ksp_converged_reason -snes_monitor_short -snes_rtol 1.e-4 -dm_view -dm_mat_type aijkokkos -dm_vec_type kokkos
261 
262   test:
263     suffix: aijmkl_comp
264     nsize: 4
265     requires: mkl_sparse
266     output_file: output/ex13_comparison.out
267     args: -dm_plex_dim 2 -dm_plex_box_faces 4,4 -dm_refine 3 -petscpartitioner_simple_process_grid 2,2 \
268       -petscpartitioner_simple_node_grid 1,1 -potential_petscspace_degree 2 -dm_distribute -petscpartitioner_type simple \
269       -dm_plex_simplex 0 -snes_monitor_short -snes_type ksponly -dm_view -pc_type gamg -pc_gamg_process_eq_limit 400 -ksp_norm_type unpreconditioned \
270       -pc_gamg_coarse_eq_limit 10 -snes_converged_reason -ksp_converged_reason -snes_rtol 1.e-4 -dm_mat_type aijmkl
271 
272   test:
273     suffix: aijmkl_seq
274     nsize: 1
275     requires: mkl_sparse
276     TODO: broken (INDEFINITE PC)
277     args: -dm_plex_dim 3 -dm_plex_box_faces 4,4,4 -dm_refine 1 -petscpartitioner_type simple -potential_petscspace_degree 1 -dm_distribute -dm_plex_simplex 0 -snes_monitor_short -snes_type ksponly -dm_view -pc_type gamg -pc_gamg_sym_graph 0 -pc_gamg_threshold -1 -pc_gamg_square_graph 10 -pc_gamg_process_eq_limit 400 -pc_gamg_reuse_interpolation -pc_gamg_coarse_eq_limit 10 -mg_levels_esteig_ksp_type cg -mg_levels_pc_type jacobi -ksp_type cg -ksp_norm_type unpreconditioned -snes_converged_reason -ksp_converged_reason -snes_rtol 1.e-4 -dm_mat_type aijmkl -dm_vec_type standard
278 
279 TEST*/
280