1 #include <../src/mat/impls/aij/seq/aij.h> 2 #include <petsc/private/dmpleximpl.h> /*I "petscdmplex.h" I*/ 3 #include <petsclandau.h> /*I "petsclandau.h" I*/ 4 #include <petscts.h> 5 #include <petscdmforest.h> 6 #include <petscdmcomposite.h> 7 8 /* Landau collision operator */ 9 10 /* relativistic terms */ 11 #if defined(PETSC_USE_REAL_SINGLE) 12 #define SPEED_OF_LIGHT 2.99792458e8F 13 #define C_0(v0) (SPEED_OF_LIGHT / v0) /* needed for relativistic tensor on all architectures */ 14 #else 15 #define SPEED_OF_LIGHT 2.99792458e8 16 #define C_0(v0) (SPEED_OF_LIGHT / v0) /* needed for relativistic tensor on all architectures */ 17 #endif 18 19 #define PETSC_THREAD_SYNC 20 #include "land_tensors.h" 21 22 #if defined(PETSC_HAVE_OPENMP) 23 #include <omp.h> 24 #endif 25 26 static PetscErrorCode LandauGPUMapsDestroy(void *ptr) { 27 P4estVertexMaps *maps = (P4estVertexMaps *)ptr; 28 PetscFunctionBegin; 29 // free device data 30 if (maps[0].deviceType != LANDAU_CPU) { 31 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 32 if (maps[0].deviceType == LANDAU_KOKKOS) { 33 PetscCall(LandauKokkosDestroyMatMaps(maps, maps[0].numgrids)); // imples Kokkos does 34 } // else could be CUDA 35 #elif defined(PETSC_HAVE_CUDA) 36 if (maps[0].deviceType == LANDAU_CUDA) { 37 PetscCall(LandauCUDADestroyMatMaps(maps, maps[0].numgrids)); 38 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "maps->deviceType %d ?????", maps->deviceType); 39 #endif 40 } 41 // free host data 42 for (PetscInt grid = 0; grid < maps[0].numgrids; grid++) { 43 PetscCall(PetscFree(maps[grid].c_maps)); 44 PetscCall(PetscFree(maps[grid].gIdx)); 45 } 46 PetscCall(PetscFree(maps)); 47 48 PetscFunctionReturn(0); 49 } 50 static PetscErrorCode energy_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) { 51 PetscReal v2 = 0; 52 PetscFunctionBegin; 53 /* compute v^2 / 2 */ 54 for (int i = 0; i < dim; ++i) v2 += x[i] * x[i]; 55 /* evaluate the Maxwellian */ 56 u[0] = v2 / 2; 57 PetscFunctionReturn(0); 58 } 59 60 /* needs double */ 61 static PetscErrorCode gamma_m1_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) { 62 PetscReal *c2_0_arr = ((PetscReal *)actx); 63 double u2 = 0, c02 = (double)*c2_0_arr, xx; 64 65 PetscFunctionBegin; 66 /* compute u^2 / 2 */ 67 for (int i = 0; i < dim; ++i) u2 += x[i] * x[i]; 68 /* gamma - 1 = g_eps, for conditioning and we only take derivatives */ 69 xx = u2 / c02; 70 #if defined(PETSC_USE_DEBUG) 71 u[0] = PetscSqrtReal(1. + xx); 72 #else 73 u[0] = xx / (PetscSqrtReal(1. + xx) + 1.) - 1.; // better conditioned. -1 might help condition and only used for derivative 74 #endif 75 PetscFunctionReturn(0); 76 } 77 78 /* 79 LandauFormJacobian_Internal - Evaluates Jacobian matrix. 80 81 Input Parameters: 82 . globX - input vector 83 . actx - optional user-defined context 84 . dim - dimension 85 86 Output Parameters: 87 . J0acP - Jacobian matrix filled, not created 88 */ 89 static PetscErrorCode LandauFormJacobian_Internal(Vec a_X, Mat JacP, const PetscInt dim, PetscReal shift, void *a_ctx) { 90 LandauCtx *ctx = (LandauCtx *)a_ctx; 91 PetscInt numCells[LANDAU_MAX_GRIDS], Nq, Nb; 92 PetscQuadrature quad; 93 PetscReal Eq_m[LANDAU_MAX_SPECIES]; // could be static data w/o quench (ex2) 94 PetscScalar *cellClosure = NULL; 95 const PetscScalar *xdata = NULL; 96 PetscDS prob; 97 PetscContainer container; 98 P4estVertexMaps *maps; 99 Mat subJ[LANDAU_MAX_GRIDS * LANDAU_MAX_BATCH_SZ]; 100 101 PetscFunctionBegin; 102 PetscValidHeaderSpecific(a_X, VEC_CLASSID, 1); 103 PetscValidHeaderSpecific(JacP, MAT_CLASSID, 2); 104 PetscValidPointer(ctx, 5); 105 /* check for matrix container for GPU assembly. Support CPU assembly for debugging */ 106 PetscCheck(ctx->plex[0] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 107 PetscCall(PetscLogEventBegin(ctx->events[10], 0, 0, 0, 0)); 108 PetscCall(DMGetDS(ctx->plex[0], &prob)); // same DS for all grids 109 PetscCall(PetscObjectQuery((PetscObject)JacP, "assembly_maps", (PetscObject *)&container)); 110 if (container) { 111 PetscCheck(ctx->gpu_assembly, ctx->comm, PETSC_ERR_ARG_WRONG, "maps but no GPU assembly"); 112 PetscCall(PetscContainerGetPointer(container, (void **)&maps)); 113 PetscCheck(maps, ctx->comm, PETSC_ERR_ARG_WRONG, "empty GPU matrix container"); 114 for (PetscInt i = 0; i < ctx->num_grids * ctx->batch_sz; i++) subJ[i] = NULL; 115 } else { 116 PetscCheck(!ctx->gpu_assembly, ctx->comm, PETSC_ERR_ARG_WRONG, "No maps but GPU assembly"); 117 for (PetscInt tid = 0; tid < ctx->batch_sz; tid++) { 118 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { PetscCall(DMCreateMatrix(ctx->plex[grid], &subJ[LAND_PACK_IDX(tid, grid)])); } 119 } 120 maps = NULL; 121 } 122 // get dynamic data (Eq is odd, for quench and Spitzer test) for CPU assembly and raw data for Jacobian GPU assembly. Get host numCells[], Nq (yuck) 123 PetscCall(PetscFEGetQuadrature(ctx->fe[0], &quad)); 124 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, NULL)); 125 Nb = Nq; 126 PetscCheck(Nq <= LANDAU_MAX_NQ, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nq = %" PetscInt_FMT " > LANDAU_MAX_NQ (%d)", Nq, LANDAU_MAX_NQ); 127 // get metadata for collecting dynamic data 128 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 129 PetscInt cStart, cEnd; 130 PetscCheck(ctx->plex[grid] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 131 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 132 numCells[grid] = cEnd - cStart; // grids can have different topology 133 } 134 PetscCall(PetscLogEventEnd(ctx->events[10], 0, 0, 0, 0)); 135 if (shift == 0) { /* create dynamic point data: f_alpha for closure of each cell (cellClosure[nbatch,ngrids,ncells[g],f[Nb,ns[g]]]) or xdata */ 136 DM pack; 137 PetscCall(VecGetDM(a_X, &pack)); 138 PetscCheck(pack, PETSC_COMM_SELF, PETSC_ERR_PLIB, "pack has no DM"); 139 PetscCall(PetscLogEventBegin(ctx->events[1], 0, 0, 0, 0)); 140 for (PetscInt fieldA = 0; fieldA < ctx->num_species; fieldA++) { 141 Eq_m[fieldA] = ctx->Ez * ctx->t_0 * ctx->charges[fieldA] / (ctx->v_0 * ctx->masses[fieldA]); /* normalize dimensionless */ 142 if (dim == 2) Eq_m[fieldA] *= 2 * PETSC_PI; /* add the 2pi term that is not in Landau */ 143 } 144 if (!ctx->gpu_assembly) { 145 Vec *locXArray, *globXArray; 146 PetscScalar *cellClosure_it; 147 PetscInt cellClosure_sz = 0, nDMs, Nf[LANDAU_MAX_GRIDS]; 148 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 149 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 150 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 151 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 152 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 153 } 154 /* count cellClosure size */ 155 PetscCall(DMCompositeGetNumberDM(pack, &nDMs)); 156 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) cellClosure_sz += Nb * Nf[grid] * numCells[grid]; 157 PetscCall(PetscMalloc1(cellClosure_sz * ctx->batch_sz, &cellClosure)); 158 cellClosure_it = cellClosure; 159 PetscCall(PetscMalloc(sizeof(*locXArray) * nDMs, &locXArray)); 160 PetscCall(PetscMalloc(sizeof(*globXArray) * nDMs, &globXArray)); 161 PetscCall(DMCompositeGetLocalAccessArray(pack, a_X, nDMs, NULL, locXArray)); 162 PetscCall(DMCompositeGetAccessArray(pack, a_X, nDMs, NULL, globXArray)); 163 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // OpenMP (once) 164 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 165 Vec locX = locXArray[LAND_PACK_IDX(b_id, grid)], globX = globXArray[LAND_PACK_IDX(b_id, grid)], locX2; 166 PetscInt cStart, cEnd, ei; 167 PetscCall(VecDuplicate(locX, &locX2)); 168 PetscCall(DMGlobalToLocalBegin(ctx->plex[grid], globX, INSERT_VALUES, locX2)); 169 PetscCall(DMGlobalToLocalEnd(ctx->plex[grid], globX, INSERT_VALUES, locX2)); 170 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 171 for (ei = cStart; ei < cEnd; ++ei) { 172 PetscScalar *coef = NULL; 173 PetscCall(DMPlexVecGetClosure(ctx->plex[grid], section[grid], locX2, ei, NULL, &coef)); 174 PetscCall(PetscMemcpy(cellClosure_it, coef, Nb * Nf[grid] * sizeof(*cellClosure_it))); /* change if LandauIPReal != PetscScalar */ 175 PetscCall(DMPlexVecRestoreClosure(ctx->plex[grid], section[grid], locX2, ei, NULL, &coef)); 176 cellClosure_it += Nb * Nf[grid]; 177 } 178 PetscCall(VecDestroy(&locX2)); 179 } 180 } 181 PetscCheck(cellClosure_it - cellClosure == cellClosure_sz * ctx->batch_sz, PETSC_COMM_SELF, PETSC_ERR_PLIB, "iteration wrong %" PetscCount_FMT " != cellClosure_sz = %" PetscInt_FMT, (PetscCount)(cellClosure_it - cellClosure), 182 cellClosure_sz * ctx->batch_sz); 183 PetscCall(DMCompositeRestoreLocalAccessArray(pack, a_X, nDMs, NULL, locXArray)); 184 PetscCall(DMCompositeRestoreAccessArray(pack, a_X, nDMs, NULL, globXArray)); 185 PetscCall(PetscFree(locXArray)); 186 PetscCall(PetscFree(globXArray)); 187 xdata = NULL; 188 } else { 189 PetscMemType mtype; 190 if (ctx->jacobian_field_major_order) { // get data in batch ordering 191 PetscCall(VecScatterBegin(ctx->plex_batch, a_X, ctx->work_vec, INSERT_VALUES, SCATTER_FORWARD)); 192 PetscCall(VecScatterEnd(ctx->plex_batch, a_X, ctx->work_vec, INSERT_VALUES, SCATTER_FORWARD)); 193 PetscCall(VecGetArrayReadAndMemType(ctx->work_vec, &xdata, &mtype)); 194 } else { 195 PetscCall(VecGetArrayReadAndMemType(a_X, &xdata, &mtype)); 196 } 197 PetscCheck(mtype == PETSC_MEMTYPE_HOST || ctx->deviceType != LANDAU_CPU, ctx->comm, PETSC_ERR_ARG_WRONG, "CPU run with device data: use -mat_type aij"); 198 cellClosure = NULL; 199 } 200 PetscCall(PetscLogEventEnd(ctx->events[1], 0, 0, 0, 0)); 201 } else xdata = cellClosure = NULL; 202 203 /* do it */ 204 if (ctx->deviceType == LANDAU_CUDA || ctx->deviceType == LANDAU_KOKKOS) { 205 if (ctx->deviceType == LANDAU_CUDA) { 206 #if defined(PETSC_HAVE_CUDA) 207 PetscCall(LandauCUDAJacobian(ctx->plex, Nq, ctx->batch_sz, ctx->num_grids, numCells, Eq_m, cellClosure, xdata, &ctx->SData_d, shift, ctx->events, ctx->mat_offset, ctx->species_offset, subJ, JacP)); 208 #else 209 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "cuda"); 210 #endif 211 } else if (ctx->deviceType == LANDAU_KOKKOS) { 212 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 213 PetscCall(LandauKokkosJacobian(ctx->plex, Nq, ctx->batch_sz, ctx->num_grids, numCells, Eq_m, cellClosure, xdata, &ctx->SData_d, shift, ctx->events, ctx->mat_offset, ctx->species_offset, subJ, JacP)); 214 #else 215 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "kokkos"); 216 #endif 217 } 218 } else { /* CPU version */ 219 PetscTabulation *Tf; // used for CPU and print info. Same on all grids and all species 220 PetscInt ip_offset[LANDAU_MAX_GRIDS + 1], ipf_offset[LANDAU_MAX_GRIDS + 1], elem_offset[LANDAU_MAX_GRIDS + 1], IPf_sz_glb, IPf_sz_tot, num_grids = ctx->num_grids, Nf[LANDAU_MAX_GRIDS]; 221 PetscReal *ff, *dudx, *dudy, *dudz, *invJ_a = (PetscReal *)ctx->SData_d.invJ, *xx = (PetscReal *)ctx->SData_d.x, *yy = (PetscReal *)ctx->SData_d.y, *zz = (PetscReal *)ctx->SData_d.z, *ww = (PetscReal *)ctx->SData_d.w; 222 PetscReal Eq_m[LANDAU_MAX_SPECIES], invMass[LANDAU_MAX_SPECIES], nu_alpha[LANDAU_MAX_SPECIES], nu_beta[LANDAU_MAX_SPECIES]; 223 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 224 PetscScalar *coo_vals = NULL; 225 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 226 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 227 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 228 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 229 } 230 /* count IPf size, etc */ 231 PetscCall(PetscDSGetTabulation(prob, &Tf)); // Bf, &Df same for all grids 232 const PetscReal *const BB = Tf[0]->T[0], *const DD = Tf[0]->T[1]; 233 ip_offset[0] = ipf_offset[0] = elem_offset[0] = 0; 234 for (PetscInt grid = 0; grid < num_grids; grid++) { 235 PetscInt nfloc = ctx->species_offset[grid + 1] - ctx->species_offset[grid]; 236 elem_offset[grid + 1] = elem_offset[grid] + numCells[grid]; 237 ip_offset[grid + 1] = ip_offset[grid] + numCells[grid] * Nq; 238 ipf_offset[grid + 1] = ipf_offset[grid] + Nq * nfloc * numCells[grid]; 239 } 240 IPf_sz_glb = ipf_offset[num_grids]; 241 IPf_sz_tot = IPf_sz_glb * ctx->batch_sz; 242 // prep COO 243 if (ctx->coo_assembly) { 244 PetscCall(PetscMalloc1(ctx->SData_d.coo_size, &coo_vals)); // allocate every time? 245 PetscCall(PetscInfo(ctx->plex[0], "COO Allocate %" PetscInt_FMT " values\n", (PetscInt)ctx->SData_d.coo_size)); 246 } 247 if (shift == 0.0) { /* compute dynamic data f and df and init data for Jacobian */ 248 #if defined(PETSC_HAVE_THREADSAFETY) 249 double starttime, endtime; 250 starttime = MPI_Wtime(); 251 #endif 252 PetscCall(PetscLogEventBegin(ctx->events[8], 0, 0, 0, 0)); 253 for (PetscInt fieldA = 0; fieldA < ctx->num_species; fieldA++) { 254 invMass[fieldA] = ctx->m_0 / ctx->masses[fieldA]; 255 Eq_m[fieldA] = ctx->Ez * ctx->t_0 * ctx->charges[fieldA] / (ctx->v_0 * ctx->masses[fieldA]); /* normalize dimensionless */ 256 if (dim == 2) Eq_m[fieldA] *= 2 * PETSC_PI; /* add the 2pi term that is not in Landau */ 257 nu_alpha[fieldA] = PetscSqr(ctx->charges[fieldA] / ctx->m_0) * ctx->m_0 / ctx->masses[fieldA]; 258 nu_beta[fieldA] = PetscSqr(ctx->charges[fieldA] / ctx->epsilon0) * ctx->lnLam / (8 * PETSC_PI) * ctx->t_0 * ctx->n_0 / PetscPowReal(ctx->v_0, 3); 259 } 260 PetscCall(PetscMalloc4(IPf_sz_tot, &ff, IPf_sz_tot, &dudx, IPf_sz_tot, &dudy, dim == 3 ? IPf_sz_tot : 0, &dudz)); 261 // F df/dx 262 for (PetscInt tid = 0; tid < ctx->batch_sz * elem_offset[num_grids]; tid++) { // for each element 263 const PetscInt b_Nelem = elem_offset[num_grids], b_elem_idx = tid % b_Nelem, b_id = tid / b_Nelem; // b_id == OMP thd_id in batch 264 // find my grid: 265 PetscInt grid = 0; 266 while (b_elem_idx >= elem_offset[grid + 1]) grid++; // yuck search for grid 267 { 268 const PetscInt loc_nip = numCells[grid] * Nq, loc_Nf = ctx->species_offset[grid + 1] - ctx->species_offset[grid], loc_elem = b_elem_idx - elem_offset[grid]; 269 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); //b_id*b_N + ctx->mat_offset[grid]; 270 PetscScalar *coef, coef_buff[LANDAU_MAX_SPECIES * LANDAU_MAX_NQ]; 271 PetscReal *invJe = &invJ_a[(ip_offset[grid] + loc_elem * Nq) * dim * dim]; // ingJ is static data on batch 0 272 PetscInt b, f, q; 273 if (cellClosure) { 274 coef = &cellClosure[b_id * IPf_sz_glb + ipf_offset[grid] + loc_elem * Nb * loc_Nf]; // this is const 275 } else { 276 coef = coef_buff; 277 for (f = 0; f < loc_Nf; ++f) { 278 LandauIdx *const Idxs = &maps[grid].gIdx[loc_elem][f][0]; 279 for (b = 0; b < Nb; ++b) { 280 PetscInt idx = Idxs[b]; 281 if (idx >= 0) { 282 coef[f * Nb + b] = xdata[idx + moffset]; 283 } else { 284 idx = -idx - 1; 285 coef[f * Nb + b] = 0; 286 for (q = 0; q < maps[grid].num_face; q++) { 287 PetscInt id = maps[grid].c_maps[idx][q].gid; 288 PetscScalar scale = maps[grid].c_maps[idx][q].scale; 289 coef[f * Nb + b] += scale * xdata[id + moffset]; 290 } 291 } 292 } 293 } 294 } 295 /* get f and df */ 296 for (PetscInt qi = 0; qi < Nq; qi++) { 297 const PetscReal *invJ = &invJe[qi * dim * dim]; 298 const PetscReal *Bq = &BB[qi * Nb]; 299 const PetscReal *Dq = &DD[qi * Nb * dim]; 300 PetscReal u_x[LANDAU_DIM]; 301 /* get f & df */ 302 for (f = 0; f < loc_Nf; ++f) { 303 const PetscInt idx = b_id * IPf_sz_glb + ipf_offset[grid] + f * loc_nip + loc_elem * Nq + qi; 304 PetscInt b, e; 305 PetscReal refSpaceDer[LANDAU_DIM]; 306 ff[idx] = 0.0; 307 for (int d = 0; d < LANDAU_DIM; ++d) refSpaceDer[d] = 0.0; 308 for (b = 0; b < Nb; ++b) { 309 const PetscInt cidx = b; 310 ff[idx] += Bq[cidx] * PetscRealPart(coef[f * Nb + cidx]); 311 for (int d = 0; d < dim; ++d) { refSpaceDer[d] += Dq[cidx * dim + d] * PetscRealPart(coef[f * Nb + cidx]); } 312 } 313 for (int d = 0; d < LANDAU_DIM; ++d) { 314 for (e = 0, u_x[d] = 0.0; e < LANDAU_DIM; ++e) { u_x[d] += invJ[e * dim + d] * refSpaceDer[e]; } 315 } 316 dudx[idx] = u_x[0]; 317 dudy[idx] = u_x[1]; 318 #if LANDAU_DIM == 3 319 dudz[idx] = u_x[2]; 320 #endif 321 } 322 } // q 323 } // grid 324 } // grid*batch 325 PetscCall(PetscLogEventEnd(ctx->events[8], 0, 0, 0, 0)); 326 #if defined(PETSC_HAVE_THREADSAFETY) 327 endtime = MPI_Wtime(); 328 if (ctx->stage) ctx->times[LANDAU_F_DF] += (endtime - starttime); 329 #endif 330 } // Jacobian setup 331 // assemble Jacobian (or mass) 332 for (PetscInt tid = 0; tid < ctx->batch_sz * elem_offset[num_grids]; tid++) { // for each element 333 const PetscInt b_Nelem = elem_offset[num_grids]; 334 const PetscInt glb_elem_idx = tid % b_Nelem, b_id = tid / b_Nelem; 335 PetscInt grid = 0; 336 #if defined(PETSC_HAVE_THREADSAFETY) 337 double starttime, endtime; 338 starttime = MPI_Wtime(); 339 #endif 340 while (glb_elem_idx >= elem_offset[grid + 1]) grid++; 341 { 342 const PetscInt loc_Nf = ctx->species_offset[grid + 1] - ctx->species_offset[grid], loc_elem = glb_elem_idx - elem_offset[grid]; 343 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset), totDim = loc_Nf * Nq, elemMatSize = totDim * totDim; 344 PetscScalar *elemMat; 345 const PetscReal *invJe = &invJ_a[(ip_offset[grid] + loc_elem * Nq) * dim * dim]; 346 PetscCall(PetscMalloc1(elemMatSize, &elemMat)); 347 PetscCall(PetscMemzero(elemMat, elemMatSize * sizeof(*elemMat))); 348 if (shift == 0.0) { // Jacobian 349 PetscCall(PetscLogEventBegin(ctx->events[4], 0, 0, 0, 0)); 350 } else { // mass 351 PetscCall(PetscLogEventBegin(ctx->events[16], 0, 0, 0, 0)); 352 } 353 for (PetscInt qj = 0; qj < Nq; ++qj) { 354 const PetscInt jpidx_glb = ip_offset[grid] + qj + loc_elem * Nq; 355 PetscReal g0[LANDAU_MAX_SPECIES], g2[LANDAU_MAX_SPECIES][LANDAU_DIM], g3[LANDAU_MAX_SPECIES][LANDAU_DIM][LANDAU_DIM]; // could make a LANDAU_MAX_SPECIES_GRID ~ number of ions - 1 356 PetscInt d, d2, dp, d3, IPf_idx; 357 if (shift == 0.0) { // Jacobian 358 const PetscReal *const invJj = &invJe[qj * dim * dim]; 359 PetscReal gg2[LANDAU_MAX_SPECIES][LANDAU_DIM], gg3[LANDAU_MAX_SPECIES][LANDAU_DIM][LANDAU_DIM], gg2_temp[LANDAU_DIM], gg3_temp[LANDAU_DIM][LANDAU_DIM]; 360 const PetscReal vj[3] = {xx[jpidx_glb], yy[jpidx_glb], zz ? zz[jpidx_glb] : 0}, wj = ww[jpidx_glb]; 361 // create g2 & g3 362 for (d = 0; d < LANDAU_DIM; d++) { // clear accumulation data D & K 363 gg2_temp[d] = 0; 364 for (d2 = 0; d2 < LANDAU_DIM; d2++) gg3_temp[d][d2] = 0; 365 } 366 /* inner beta reduction */ 367 IPf_idx = 0; 368 for (PetscInt grid_r = 0, f_off = 0, ipidx = 0; grid_r < ctx->num_grids; grid_r++, f_off = ctx->species_offset[grid_r]) { // IPf_idx += nip_loc_r*Nfloc_r 369 PetscInt nip_loc_r = numCells[grid_r] * Nq, Nfloc_r = Nf[grid_r]; 370 for (PetscInt ei_r = 0, loc_fdf_idx = 0; ei_r < numCells[grid_r]; ++ei_r) { 371 for (PetscInt qi = 0; qi < Nq; qi++, ipidx++, loc_fdf_idx++) { 372 const PetscReal wi = ww[ipidx], x = xx[ipidx], y = yy[ipidx]; 373 PetscReal temp1[3] = {0, 0, 0}, temp2 = 0; 374 #if LANDAU_DIM == 2 375 PetscReal Ud[2][2], Uk[2][2], mask = (PetscAbs(vj[0] - x) < 100 * PETSC_SQRT_MACHINE_EPSILON && PetscAbs(vj[1] - y) < 100 * PETSC_SQRT_MACHINE_EPSILON) ? 0. : 1.; 376 LandauTensor2D(vj, x, y, Ud, Uk, mask); 377 #else 378 PetscReal U[3][3], z = zz[ipidx], mask = (PetscAbs(vj[0] - x) < 100 * PETSC_SQRT_MACHINE_EPSILON && PetscAbs(vj[1] - y) < 100 * PETSC_SQRT_MACHINE_EPSILON && PetscAbs(vj[2] - z) < 100 * PETSC_SQRT_MACHINE_EPSILON) ? 0. : 1.; 379 if (ctx->use_relativistic_corrections) { 380 LandauTensor3DRelativistic(vj, x, y, z, U, mask, C_0(ctx->v_0)); 381 } else { 382 LandauTensor3D(vj, x, y, z, U, mask); 383 } 384 #endif 385 for (int f = 0; f < Nfloc_r; ++f) { 386 const PetscInt idx = b_id * IPf_sz_glb + ipf_offset[grid_r] + f * nip_loc_r + ei_r * Nq + qi; // IPf_idx + f*nip_loc_r + loc_fdf_idx; 387 temp1[0] += dudx[idx] * nu_beta[f + f_off] * invMass[f + f_off]; 388 temp1[1] += dudy[idx] * nu_beta[f + f_off] * invMass[f + f_off]; 389 #if LANDAU_DIM == 3 390 temp1[2] += dudz[idx] * nu_beta[f + f_off] * invMass[f + f_off]; 391 #endif 392 temp2 += ff[idx] * nu_beta[f + f_off]; 393 } 394 temp1[0] *= wi; 395 temp1[1] *= wi; 396 #if LANDAU_DIM == 3 397 temp1[2] *= wi; 398 #endif 399 temp2 *= wi; 400 #if LANDAU_DIM == 2 401 for (d2 = 0; d2 < 2; d2++) { 402 for (d3 = 0; d3 < 2; ++d3) { 403 /* K = U * grad(f): g2=e: i,A */ 404 gg2_temp[d2] += Uk[d2][d3] * temp1[d3]; 405 /* D = -U * (I \kron (fx)): g3=f: i,j,A */ 406 gg3_temp[d2][d3] += Ud[d2][d3] * temp2; 407 } 408 } 409 #else 410 for (d2 = 0; d2 < 3; ++d2) { 411 for (d3 = 0; d3 < 3; ++d3) { 412 /* K = U * grad(f): g2 = e: i,A */ 413 gg2_temp[d2] += U[d2][d3] * temp1[d3]; 414 /* D = -U * (I \kron (fx)): g3 = f: i,j,A */ 415 gg3_temp[d2][d3] += U[d2][d3] * temp2; 416 } 417 } 418 #endif 419 } // qi 420 } // ei_r 421 IPf_idx += nip_loc_r * Nfloc_r; 422 } /* grid_r - IPs */ 423 PetscCheck(IPf_idx == IPf_sz_glb, PETSC_COMM_SELF, PETSC_ERR_PLIB, "IPf_idx != IPf_sz %" PetscInt_FMT " %" PetscInt_FMT, IPf_idx, IPf_sz_glb); 424 // add alpha and put in gg2/3 425 for (PetscInt fieldA = 0, f_off = ctx->species_offset[grid]; fieldA < loc_Nf; ++fieldA) { 426 for (d2 = 0; d2 < LANDAU_DIM; d2++) { 427 gg2[fieldA][d2] = gg2_temp[d2] * nu_alpha[fieldA + f_off]; 428 for (d3 = 0; d3 < LANDAU_DIM; d3++) { gg3[fieldA][d2][d3] = -gg3_temp[d2][d3] * nu_alpha[fieldA + f_off] * invMass[fieldA + f_off]; } 429 } 430 } 431 /* add electric field term once per IP */ 432 for (PetscInt fieldA = 0, f_off = ctx->species_offset[grid]; fieldA < loc_Nf; ++fieldA) { gg2[fieldA][LANDAU_DIM - 1] += Eq_m[fieldA + f_off]; } 433 /* Jacobian transform - g2, g3 */ 434 for (PetscInt fieldA = 0; fieldA < loc_Nf; ++fieldA) { 435 for (d = 0; d < dim; ++d) { 436 g2[fieldA][d] = 0.0; 437 for (d2 = 0; d2 < dim; ++d2) { 438 g2[fieldA][d] += invJj[d * dim + d2] * gg2[fieldA][d2]; 439 g3[fieldA][d][d2] = 0.0; 440 for (d3 = 0; d3 < dim; ++d3) { 441 for (dp = 0; dp < dim; ++dp) { g3[fieldA][d][d2] += invJj[d * dim + d3] * gg3[fieldA][d3][dp] * invJj[d2 * dim + dp]; } 442 } 443 g3[fieldA][d][d2] *= wj; 444 } 445 g2[fieldA][d] *= wj; 446 } 447 } 448 } else { // mass 449 PetscReal wj = ww[jpidx_glb]; 450 /* Jacobian transform - g0 */ 451 for (PetscInt fieldA = 0; fieldA < loc_Nf; ++fieldA) { 452 if (dim == 2) { 453 g0[fieldA] = wj * shift * 2. * PETSC_PI; // move this to below and remove g0 454 } else { 455 g0[fieldA] = wj * shift; // move this to below and remove g0 456 } 457 } 458 } 459 /* FE matrix construction */ 460 { 461 PetscInt fieldA, d, f, d2, g; 462 const PetscReal *BJq = &BB[qj * Nb], *DIq = &DD[qj * Nb * dim]; 463 /* assemble - on the diagonal (I,I) */ 464 for (fieldA = 0; fieldA < loc_Nf; fieldA++) { 465 for (f = 0; f < Nb; f++) { 466 const PetscInt i = fieldA * Nb + f; /* Element matrix row */ 467 for (g = 0; g < Nb; ++g) { 468 const PetscInt j = fieldA * Nb + g; /* Element matrix column */ 469 const PetscInt fOff = i * totDim + j; 470 if (shift == 0.0) { 471 for (d = 0; d < dim; ++d) { 472 elemMat[fOff] += DIq[f * dim + d] * g2[fieldA][d] * BJq[g]; 473 for (d2 = 0; d2 < dim; ++d2) { elemMat[fOff] += DIq[f * dim + d] * g3[fieldA][d][d2] * DIq[g * dim + d2]; } 474 } 475 } else { // mass 476 elemMat[fOff] += BJq[f] * g0[fieldA] * BJq[g]; 477 } 478 } 479 } 480 } 481 } 482 } /* qj loop */ 483 if (shift == 0.0) { // Jacobian 484 PetscCall(PetscLogEventEnd(ctx->events[4], 0, 0, 0, 0)); 485 } else { 486 PetscCall(PetscLogEventEnd(ctx->events[16], 0, 0, 0, 0)); 487 } 488 #if defined(PETSC_HAVE_THREADSAFETY) 489 endtime = MPI_Wtime(); 490 if (ctx->stage) ctx->times[LANDAU_KERNEL] += (endtime - starttime); 491 #endif 492 /* assemble matrix */ 493 if (!container) { 494 PetscInt cStart; 495 PetscCall(PetscLogEventBegin(ctx->events[6], 0, 0, 0, 0)); 496 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, NULL)); 497 PetscCall(DMPlexMatSetClosure(ctx->plex[grid], section[grid], globsection[grid], subJ[LAND_PACK_IDX(b_id, grid)], loc_elem + cStart, elemMat, ADD_VALUES)); 498 PetscCall(PetscLogEventEnd(ctx->events[6], 0, 0, 0, 0)); 499 } else { // GPU like assembly for debugging 500 PetscInt fieldA, q, f, g, d, nr, nc, rows0[LANDAU_MAX_Q_FACE] = {0}, cols0[LANDAU_MAX_Q_FACE] = {0}, rows[LANDAU_MAX_Q_FACE], cols[LANDAU_MAX_Q_FACE]; 501 PetscScalar vals[LANDAU_MAX_Q_FACE * LANDAU_MAX_Q_FACE] = {0}, row_scale[LANDAU_MAX_Q_FACE] = {0}, col_scale[LANDAU_MAX_Q_FACE] = {0}; 502 LandauIdx *coo_elem_offsets = (LandauIdx *)ctx->SData_d.coo_elem_offsets, *coo_elem_fullNb = (LandauIdx *)ctx->SData_d.coo_elem_fullNb, (*coo_elem_point_offsets)[LANDAU_MAX_NQ + 1] = (LandauIdx(*)[LANDAU_MAX_NQ + 1]) ctx->SData_d.coo_elem_point_offsets; 503 /* assemble - from the diagonal (I,I) in this format for DMPlexMatSetClosure */ 504 for (fieldA = 0; fieldA < loc_Nf; fieldA++) { 505 LandauIdx *const Idxs = &maps[grid].gIdx[loc_elem][fieldA][0]; 506 for (f = 0; f < Nb; f++) { 507 PetscInt idx = Idxs[f]; 508 if (idx >= 0) { 509 nr = 1; 510 rows0[0] = idx; 511 row_scale[0] = 1.; 512 } else { 513 idx = -idx - 1; 514 for (q = 0, nr = 0; q < maps[grid].num_face; q++, nr++) { 515 if (maps[grid].c_maps[idx][q].gid < 0) break; 516 rows0[q] = maps[grid].c_maps[idx][q].gid; 517 row_scale[q] = maps[grid].c_maps[idx][q].scale; 518 } 519 } 520 for (g = 0; g < Nb; ++g) { 521 idx = Idxs[g]; 522 if (idx >= 0) { 523 nc = 1; 524 cols0[0] = idx; 525 col_scale[0] = 1.; 526 } else { 527 idx = -idx - 1; 528 nc = maps[grid].num_face; 529 for (q = 0, nc = 0; q < maps[grid].num_face; q++, nc++) { 530 if (maps[grid].c_maps[idx][q].gid < 0) break; 531 cols0[q] = maps[grid].c_maps[idx][q].gid; 532 col_scale[q] = maps[grid].c_maps[idx][q].scale; 533 } 534 } 535 const PetscInt i = fieldA * Nb + f; /* Element matrix row */ 536 const PetscInt j = fieldA * Nb + g; /* Element matrix column */ 537 const PetscScalar Aij = elemMat[i * totDim + j]; 538 if (coo_vals) { // mirror (i,j) in CreateStaticGPUData 539 const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb; 540 const int idx0 = b_id * coo_elem_offsets[elem_offset[num_grids]] + coo_elem_offsets[glb_elem_idx] + fieldA * fullNb2 + fullNb * coo_elem_point_offsets[glb_elem_idx][f] + nr * coo_elem_point_offsets[glb_elem_idx][g]; 541 for (int q = 0, idx2 = idx0; q < nr; q++) { 542 for (int d = 0; d < nc; d++, idx2++) { coo_vals[idx2] = row_scale[q] * col_scale[d] * Aij; } 543 } 544 } else { 545 for (q = 0; q < nr; q++) rows[q] = rows0[q] + moffset; 546 for (d = 0; d < nc; d++) cols[d] = cols0[d] + moffset; 547 for (q = 0; q < nr; q++) { 548 for (d = 0; d < nc; d++) { vals[q * nc + d] = row_scale[q] * col_scale[d] * Aij; } 549 } 550 PetscCall(MatSetValues(JacP, nr, rows, nc, cols, vals, ADD_VALUES)); 551 } 552 } 553 } 554 } 555 } 556 if (loc_elem == -1) { 557 PetscCall(PetscPrintf(ctx->comm, "CPU Element matrix\n")); 558 for (int d = 0; d < totDim; ++d) { 559 for (int f = 0; f < totDim; ++f) PetscCall(PetscPrintf(ctx->comm, " %12.5e", (double)PetscRealPart(elemMat[d * totDim + f]))); 560 PetscCall(PetscPrintf(ctx->comm, "\n")); 561 } 562 exit(12); 563 } 564 PetscCall(PetscFree(elemMat)); 565 } /* grid */ 566 } /* outer element & batch loop */ 567 if (shift == 0.0) { // mass 568 PetscCall(PetscFree4(ff, dudx, dudy, dudz)); 569 } 570 if (!container) { // 'CPU' assembly move nest matrix to global JacP 571 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // OpenMP 572 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 573 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); // b_id*b_N + ctx->mat_offset[grid]; 574 PetscInt nloc, nzl, colbuf[1024], row; 575 const PetscInt *cols; 576 const PetscScalar *vals; 577 Mat B = subJ[LAND_PACK_IDX(b_id, grid)]; 578 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 579 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 580 PetscCall(MatGetSize(B, &nloc, NULL)); 581 for (int i = 0; i < nloc; i++) { 582 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 583 PetscCheck(nzl <= 1024, PetscObjectComm((PetscObject)B), PETSC_ERR_PLIB, "Row too big: %" PetscInt_FMT, nzl); 584 for (int j = 0; j < nzl; j++) colbuf[j] = moffset + cols[j]; 585 row = moffset + i; 586 PetscCall(MatSetValues(JacP, 1, &row, nzl, colbuf, vals, ADD_VALUES)); 587 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 588 } 589 PetscCall(MatDestroy(&B)); 590 } 591 } 592 } 593 if (coo_vals) { 594 PetscCall(MatSetValuesCOO(JacP, coo_vals, ADD_VALUES)); 595 PetscCall(PetscFree(coo_vals)); 596 } 597 } /* CPU version */ 598 PetscCall(MatAssemblyBegin(JacP, MAT_FINAL_ASSEMBLY)); 599 PetscCall(MatAssemblyEnd(JacP, MAT_FINAL_ASSEMBLY)); 600 /* clean up */ 601 if (cellClosure) PetscCall(PetscFree(cellClosure)); 602 if (xdata) { PetscCall(VecRestoreArrayReadAndMemType(a_X, &xdata)); } 603 PetscFunctionReturn(0); 604 } 605 606 #if defined(LANDAU_ADD_BCS) 607 static void zero_bc(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[]) { 608 uexact[0] = 0; 609 } 610 #endif 611 612 #define MATVEC2(__a, __x, __p) \ 613 { \ 614 int i, j; \ 615 for (i = 0.; i < 2; i++) { \ 616 __p[i] = 0; \ 617 for (j = 0.; j < 2; j++) __p[i] += __a[i][j] * __x[j]; \ 618 } \ 619 } 620 static void CircleInflate(PetscReal r1, PetscReal r2, PetscReal r0, PetscInt num_sections, PetscReal x, PetscReal y, PetscReal *outX, PetscReal *outY) { 621 PetscReal rr = PetscSqrtReal(x * x + y * y), outfact, efact; 622 if (rr < r1 + PETSC_SQRT_MACHINE_EPSILON) { 623 *outX = x; 624 *outY = y; 625 } else { 626 const PetscReal xy[2] = {x, y}, sinphi = y / rr, cosphi = x / rr; 627 PetscReal cth, sth, xyprime[2], Rth[2][2], rotcos, newrr; 628 if (num_sections == 2) { 629 rotcos = 0.70710678118654; 630 outfact = 1.5; 631 efact = 2.5; 632 /* rotate normalized vector into [-pi/4,pi/4) */ 633 if (sinphi >= 0.) { /* top cell, -pi/2 */ 634 cth = 0.707106781186548; 635 sth = -0.707106781186548; 636 } else { /* bottom cell -pi/8 */ 637 cth = 0.707106781186548; 638 sth = .707106781186548; 639 } 640 } else if (num_sections == 3) { 641 rotcos = 0.86602540378443; 642 outfact = 1.5; 643 efact = 2.5; 644 /* rotate normalized vector into [-pi/6,pi/6) */ 645 if (sinphi >= 0.5) { /* top cell, -pi/3 */ 646 cth = 0.5; 647 sth = -0.866025403784439; 648 } else if (sinphi >= -.5) { /* mid cell 0 */ 649 cth = 1.; 650 sth = .0; 651 } else { /* bottom cell +pi/3 */ 652 cth = 0.5; 653 sth = 0.866025403784439; 654 } 655 } else if (num_sections == 4) { 656 rotcos = 0.9238795325112; 657 outfact = 1.5; 658 efact = 3; 659 /* rotate normalized vector into [-pi/8,pi/8) */ 660 if (sinphi >= 0.707106781186548) { /* top cell, -3pi/8 */ 661 cth = 0.38268343236509; 662 sth = -0.923879532511287; 663 } else if (sinphi >= 0.) { /* mid top cell -pi/8 */ 664 cth = 0.923879532511287; 665 sth = -.38268343236509; 666 } else if (sinphi >= -0.707106781186548) { /* mid bottom cell + pi/8 */ 667 cth = 0.923879532511287; 668 sth = 0.38268343236509; 669 } else { /* bottom cell + 3pi/8 */ 670 cth = 0.38268343236509; 671 sth = .923879532511287; 672 } 673 } else { 674 cth = 0.; 675 sth = 0.; 676 rotcos = 0; 677 efact = 0; 678 } 679 Rth[0][0] = cth; 680 Rth[0][1] = -sth; 681 Rth[1][0] = sth; 682 Rth[1][1] = cth; 683 MATVEC2(Rth, xy, xyprime); 684 if (num_sections == 2) { 685 newrr = xyprime[0] / rotcos; 686 } else { 687 PetscReal newcosphi = xyprime[0] / rr, rin = r1, rout = rr - rin; 688 PetscReal routmax = r0 * rotcos / newcosphi - rin, nroutmax = r0 - rin, routfrac = rout / routmax; 689 newrr = rin + routfrac * nroutmax; 690 } 691 *outX = cosphi * newrr; 692 *outY = sinphi * newrr; 693 /* grade */ 694 PetscReal fact, tt, rs, re, rr = PetscSqrtReal(PetscSqr(*outX) + PetscSqr(*outY)); 695 if (rr > r2) { 696 rs = r2; 697 re = r0; 698 fact = outfact; 699 } /* outer zone */ 700 else { 701 rs = r1; 702 re = r2; 703 fact = efact; 704 } /* electron zone */ 705 tt = (rs + PetscPowReal((rr - rs) / (re - rs), fact) * (re - rs)) / rr; 706 *outX *= tt; 707 *outY *= tt; 708 } 709 } 710 711 static PetscErrorCode GeometryDMLandau(DM base, PetscInt point, PetscInt dim, const PetscReal abc[], PetscReal xyz[], void *a_ctx) { 712 LandauCtx *ctx = (LandauCtx *)a_ctx; 713 PetscReal r = abc[0], z = abc[1]; 714 if (ctx->inflate) { 715 PetscReal absR, absZ; 716 absR = PetscAbs(r); 717 absZ = PetscAbs(z); 718 CircleInflate(ctx->i_radius[0], ctx->e_radius, ctx->radius[0], ctx->num_sections, absR, absZ, &absR, &absZ); // wrong: how do I know what grid I am on? 719 r = (r > 0) ? absR : -absR; 720 z = (z > 0) ? absZ : -absZ; 721 } 722 xyz[0] = r; 723 xyz[1] = z; 724 if (dim == 3) xyz[2] = abc[2]; 725 726 PetscFunctionReturn(0); 727 } 728 729 /* create DMComposite of meshes for each species group */ 730 static PetscErrorCode LandauDMCreateVMeshes(MPI_Comm comm_self, const PetscInt dim, const char prefix[], LandauCtx *ctx, DM pack) { 731 PetscFunctionBegin; 732 { /* p4est, quads */ 733 /* Create plex mesh of Landau domain */ 734 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 735 PetscReal radius = ctx->radius[grid]; 736 if (!ctx->sphere) { 737 PetscInt cells[] = {2, 2, 2}; 738 PetscReal lo[] = {-radius, -radius, -radius}, hi[] = {radius, radius, radius}; 739 DMBoundaryType periodicity[3] = {DM_BOUNDARY_NONE, dim == 2 ? DM_BOUNDARY_NONE : DM_BOUNDARY_NONE, DM_BOUNDARY_NONE}; 740 if (dim == 2) { 741 lo[0] = 0; 742 cells[0] /* = cells[1] */ = 1; 743 } 744 PetscCall(DMPlexCreateBoxMesh(comm_self, dim, PETSC_FALSE, cells, lo, hi, periodicity, PETSC_TRUE, &ctx->plex[grid])); // todo: make composite and create dm[grid] here 745 PetscCall(DMLocalizeCoordinates(ctx->plex[grid])); /* needed for periodic */ 746 if (dim == 3) PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "cube")); 747 else PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "half-plane")); 748 } else if (dim == 2) { // sphere is all wrong. should just have one inner radius 749 PetscInt numCells, cells[16][4], i, j; 750 PetscInt numVerts; 751 PetscReal inner_radius1 = ctx->i_radius[grid], inner_radius2 = ctx->e_radius; 752 PetscReal *flatCoords = NULL; 753 PetscInt *flatCells = NULL, *pcell; 754 if (ctx->num_sections == 2) { 755 #if 1 756 numCells = 5; 757 numVerts = 10; 758 int cells2[][4] = { 759 {0, 1, 4, 3}, 760 {1, 2, 5, 4}, 761 {3, 4, 7, 6}, 762 {4, 5, 8, 7}, 763 {6, 7, 8, 9} 764 }; 765 for (i = 0; i < numCells; i++) 766 for (j = 0; j < 4; j++) cells[i][j] = cells2[i][j]; 767 PetscCall(PetscMalloc2(numVerts * 2, &flatCoords, numCells * 4, &flatCells)); 768 { 769 PetscReal(*coords)[2] = (PetscReal(*)[2])flatCoords; 770 for (j = 0; j < numVerts - 1; j++) { 771 PetscReal z, r, theta = -PETSC_PI / 2 + (j % 3) * PETSC_PI / 2; 772 PetscReal rad = (j >= 6) ? inner_radius1 : (j >= 3) ? inner_radius2 : ctx->radius[grid]; 773 z = rad * PetscSinReal(theta); 774 coords[j][1] = z; 775 r = rad * PetscCosReal(theta); 776 coords[j][0] = r; 777 } 778 coords[numVerts - 1][0] = coords[numVerts - 1][1] = 0; 779 } 780 #else 781 numCells = 4; 782 numVerts = 8; 783 static int cells2[][4] = { 784 {0, 1, 2, 3}, 785 {4, 5, 1, 0}, 786 {5, 6, 2, 1}, 787 {6, 7, 3, 2} 788 }; 789 for (i = 0; i < numCells; i++) 790 for (j = 0; j < 4; j++) cells[i][j] = cells2[i][j]; 791 PetscCall(loc2(numVerts * 2, &flatCoords, numCells * 4, &flatCells)); 792 { 793 PetscReal(*coords)[2] = (PetscReal(*)[2])flatCoords; 794 PetscInt j; 795 for (j = 0; j < 8; j++) { 796 PetscReal z, r; 797 PetscReal theta = -PETSC_PI / 2 + (j % 4) * PETSC_PI / 3.; 798 PetscReal rad = ctx->radius[grid] * ((j < 4) ? 0.5 : 1.0); 799 z = rad * PetscSinReal(theta); 800 coords[j][1] = z; 801 r = rad * PetscCosReal(theta); 802 coords[j][0] = r; 803 } 804 } 805 #endif 806 } else if (ctx->num_sections == 3) { 807 numCells = 7; 808 numVerts = 12; 809 int cells2[][4] = { 810 {0, 1, 5, 4 }, 811 {1, 2, 6, 5 }, 812 {2, 3, 7, 6 }, 813 {4, 5, 9, 8 }, 814 {5, 6, 10, 9 }, 815 {6, 7, 11, 10}, 816 {8, 9, 10, 11} 817 }; 818 for (i = 0; i < numCells; i++) 819 for (j = 0; j < 4; j++) cells[i][j] = cells2[i][j]; 820 PetscCall(PetscMalloc2(numVerts * 2, &flatCoords, numCells * 4, &flatCells)); 821 { 822 PetscReal(*coords)[2] = (PetscReal(*)[2])flatCoords; 823 for (j = 0; j < numVerts; j++) { 824 PetscReal z, r, theta = -PETSC_PI / 2 + (j % 4) * PETSC_PI / 3; 825 PetscReal rad = (j >= 8) ? inner_radius1 : (j >= 4) ? inner_radius2 : ctx->radius[grid]; 826 z = rad * PetscSinReal(theta); 827 coords[j][1] = z; 828 r = rad * PetscCosReal(theta); 829 coords[j][0] = r; 830 } 831 } 832 } else if (ctx->num_sections == 4) { 833 numCells = 10; 834 numVerts = 16; 835 int cells2[][4] = { 836 {0, 1, 6, 5 }, 837 {1, 2, 7, 6 }, 838 {2, 3, 8, 7 }, 839 {3, 4, 9, 8 }, 840 {5, 6, 11, 10}, 841 {6, 7, 12, 11}, 842 {7, 8, 13, 12}, 843 {8, 9, 14, 13}, 844 {10, 11, 12, 15}, 845 {12, 13, 14, 15} 846 }; 847 for (i = 0; i < numCells; i++) 848 for (j = 0; j < 4; j++) cells[i][j] = cells2[i][j]; 849 PetscCall(PetscMalloc2(numVerts * 2, &flatCoords, numCells * 4, &flatCells)); 850 { 851 PetscReal(*coords)[2] = (PetscReal(*)[2])flatCoords; 852 for (j = 0; j < numVerts - 1; j++) { 853 PetscReal z, r, theta = -PETSC_PI / 2 + (j % 5) * PETSC_PI / 4; 854 PetscReal rad = (j >= 10) ? inner_radius1 : (j >= 5) ? inner_radius2 : ctx->radius[grid]; 855 z = rad * PetscSinReal(theta); 856 coords[j][1] = z; 857 r = rad * PetscCosReal(theta); 858 coords[j][0] = r; 859 } 860 coords[numVerts - 1][0] = coords[numVerts - 1][1] = 0; 861 } 862 } else { 863 numCells = 0; 864 numVerts = 0; 865 } 866 for (j = 0, pcell = flatCells; j < numCells; j++, pcell += 4) { 867 pcell[0] = cells[j][0]; 868 pcell[1] = cells[j][1]; 869 pcell[2] = cells[j][2]; 870 pcell[3] = cells[j][3]; 871 } 872 PetscCall(DMPlexCreateFromCellListPetsc(comm_self, 2, numCells, numVerts, 4, ctx->interpolate, flatCells, 2, flatCoords, &ctx->plex[grid])); 873 PetscCall(PetscFree2(flatCoords, flatCells)); 874 PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "semi-circle")); 875 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Velocity space meshes does not support cubed sphere"); 876 877 PetscCall(DMSetFromOptions(ctx->plex[grid])); 878 } // grid loop 879 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)pack, prefix)); 880 881 { /* convert to p4est (or whatever), wait for discretization to create pack */ 882 char convType[256]; 883 PetscBool flg; 884 885 PetscOptionsBegin(ctx->comm, prefix, "Mesh conversion options", "DMPLEX"); 886 PetscCall(PetscOptionsFList("-dm_landau_type", "Convert DMPlex to another format (p4est)", "plexland.c", DMList, DMPLEX, convType, 256, &flg)); 887 PetscOptionsEnd(); 888 if (flg) { 889 ctx->use_p4est = PETSC_TRUE; /* flag for Forest */ 890 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 891 DM dmforest; 892 PetscCall(DMConvert(ctx->plex[grid], convType, &dmforest)); 893 if (dmforest) { 894 PetscBool isForest; 895 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)dmforest, prefix)); 896 PetscCall(DMIsForest(dmforest, &isForest)); 897 if (isForest) { 898 if (ctx->sphere && ctx->inflate) { PetscCall(DMForestSetBaseCoordinateMapping(dmforest, GeometryDMLandau, ctx)); } 899 PetscCall(DMDestroy(&ctx->plex[grid])); 900 ctx->plex[grid] = dmforest; // Forest for adaptivity 901 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Converted to non Forest?"); 902 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Convert failed?"); 903 } 904 } else ctx->use_p4est = PETSC_FALSE; /* flag for Forest */ 905 } 906 } /* non-file */ 907 PetscCall(DMSetDimension(pack, dim)); 908 PetscCall(PetscObjectSetName((PetscObject)pack, "Mesh")); 909 PetscCall(DMSetApplicationContext(pack, ctx)); 910 911 PetscFunctionReturn(0); 912 } 913 914 static PetscErrorCode SetupDS(DM pack, PetscInt dim, PetscInt grid, LandauCtx *ctx) { 915 PetscInt ii, i0; 916 char buf[256]; 917 PetscSection section; 918 919 PetscFunctionBegin; 920 for (ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 921 if (ii == 0) PetscCall(PetscSNPrintf(buf, sizeof(buf), "e")); 922 else PetscCall(PetscSNPrintf(buf, sizeof(buf), "i%" PetscInt_FMT, ii)); 923 /* Setup Discretization - FEM */ 924 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, PETSC_FALSE, NULL, PETSC_DECIDE, &ctx->fe[ii])); 925 PetscCall(PetscObjectSetName((PetscObject)ctx->fe[ii], buf)); 926 PetscCall(DMSetField(ctx->plex[grid], i0, NULL, (PetscObject)ctx->fe[ii])); 927 } 928 PetscCall(DMCreateDS(ctx->plex[grid])); 929 PetscCall(DMGetSection(ctx->plex[grid], §ion)); 930 for (PetscInt ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 931 if (ii == 0) PetscCall(PetscSNPrintf(buf, sizeof(buf), "se")); 932 else PetscCall(PetscSNPrintf(buf, sizeof(buf), "si%" PetscInt_FMT, ii)); 933 PetscCall(PetscSectionSetComponentName(section, i0, 0, buf)); 934 } 935 PetscFunctionReturn(0); 936 } 937 938 /* Define a Maxwellian function for testing out the operator. */ 939 940 /* Using cartesian velocity space coordinates, the particle */ 941 /* density, [1/m^3], is defined according to */ 942 943 /* $$ n=\int_{R^3} dv^3 \left(\frac{m}{2\pi T}\right)^{3/2}\exp [- mv^2/(2T)] $$ */ 944 945 /* Using some constant, c, we normalize the velocity vector into a */ 946 /* dimensionless variable according to v=c*x. Thus the density, $n$, becomes */ 947 948 /* $$ n=\int_{R^3} dx^3 \left(\frac{mc^2}{2\pi T}\right)^{3/2}\exp [- mc^2/(2T)*x^2] $$ */ 949 950 /* Defining $\theta=2T/mc^2$, we thus find that the probability density */ 951 /* for finding the particle within the interval in a box dx^3 around x is */ 952 953 /* f(x;\theta)=\left(\frac{1}{\pi\theta}\right)^{3/2} \exp [ -x^2/\theta ] */ 954 955 typedef struct { 956 PetscReal v_0; 957 PetscReal kT_m; 958 PetscReal n; 959 PetscReal shift; 960 } MaxwellianCtx; 961 962 static PetscErrorCode maxwellian(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) { 963 MaxwellianCtx *mctx = (MaxwellianCtx *)actx; 964 PetscInt i; 965 PetscReal v2 = 0, theta = 2 * mctx->kT_m / (mctx->v_0 * mctx->v_0); /* theta = 2kT/mc^2 */ 966 PetscFunctionBegin; 967 /* compute the exponents, v^2 */ 968 for (i = 0; i < dim; ++i) v2 += x[i] * x[i]; 969 /* evaluate the Maxwellian */ 970 u[0] = mctx->n * PetscPowReal(PETSC_PI * theta, -1.5) * (PetscExpReal(-v2 / theta)); 971 if (mctx->shift != 0.) { 972 v2 = 0; 973 for (i = 0; i < dim - 1; ++i) v2 += x[i] * x[i]; 974 v2 += (x[dim - 1] - mctx->shift) * (x[dim - 1] - mctx->shift); 975 /* evaluate the shifted Maxwellian */ 976 u[0] += mctx->n * PetscPowReal(PETSC_PI * theta, -1.5) * (PetscExpReal(-v2 / theta)); 977 } 978 PetscFunctionReturn(0); 979 } 980 981 /*@ 982 DMPlexLandauAddMaxwellians - Add a Maxwellian distribution to a state 983 984 Collective on X 985 986 Input Parameters: 987 . dm - The mesh (local) 988 + time - Current time 989 - temps - Temperatures of each species (global) 990 . ns - Number density of each species (global) 991 - grid - index into current grid - just used for offset into temp and ns 992 . b_id - batch index 993 - n_batch - number of batches 994 + actx - Landau context 995 996 Output Parameter: 997 . X - The state (local to this grid) 998 999 Level: beginner 1000 1001 .keywords: mesh 1002 .seealso: `DMPlexLandauCreateVelocitySpace()` 1003 @*/ 1004 PetscErrorCode DMPlexLandauAddMaxwellians(DM dm, Vec X, PetscReal time, PetscReal temps[], PetscReal ns[], PetscInt grid, PetscInt b_id, PetscInt n_batch, void *actx) { 1005 LandauCtx *ctx = (LandauCtx *)actx; 1006 PetscErrorCode (*initu[LANDAU_MAX_SPECIES])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *); 1007 PetscInt dim; 1008 MaxwellianCtx *mctxs[LANDAU_MAX_SPECIES], data[LANDAU_MAX_SPECIES]; 1009 1010 PetscFunctionBegin; 1011 PetscCall(DMGetDimension(dm, &dim)); 1012 if (!ctx) PetscCall(DMGetApplicationContext(dm, &ctx)); 1013 for (PetscInt ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 1014 mctxs[i0] = &data[i0]; 1015 data[i0].v_0 = ctx->v_0; // v_0 same for all grids 1016 data[i0].kT_m = ctx->k * temps[ii] / ctx->masses[ii]; /* kT/m */ 1017 data[i0].n = ns[ii] * (1 + 0.1 * (double)b_id / (double)n_batch); // ramp density up 10% to mimic application, n[0] use for Conner-Hastie 1018 initu[i0] = maxwellian; 1019 data[i0].shift = 0; 1020 } 1021 data[0].shift = ctx->electronShift; 1022 /* need to make ADD_ALL_VALUES work - TODO */ 1023 PetscCall(DMProjectFunction(dm, time, initu, (void **)mctxs, INSERT_ALL_VALUES, X)); 1024 PetscFunctionReturn(0); 1025 } 1026 1027 /* 1028 LandauSetInitialCondition - Addes Maxwellians with context 1029 1030 Collective on X 1031 1032 Input Parameters: 1033 . dm - The mesh 1034 - grid - index into current grid - just used for offset into temp and ns 1035 . b_id - batch index 1036 - n_batch - number of batches 1037 + actx - Landau context with T and n 1038 1039 Output Parameter: 1040 . X - The state 1041 1042 Level: beginner 1043 1044 .keywords: mesh 1045 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauAddMaxwellians()` 1046 */ 1047 static PetscErrorCode LandauSetInitialCondition(DM dm, Vec X, PetscInt grid, PetscInt b_id, PetscInt n_batch, void *actx) { 1048 LandauCtx *ctx = (LandauCtx *)actx; 1049 PetscFunctionBegin; 1050 if (!ctx) PetscCall(DMGetApplicationContext(dm, &ctx)); 1051 PetscCall(VecZeroEntries(X)); 1052 PetscCall(DMPlexLandauAddMaxwellians(dm, X, 0.0, ctx->thermal_temps, ctx->n, grid, b_id, n_batch, ctx)); 1053 PetscFunctionReturn(0); 1054 } 1055 1056 // adapt a level once. Forest in/out 1057 static PetscErrorCode adaptToleranceFEM(PetscFE fem, Vec sol, PetscInt type, PetscInt grid, LandauCtx *ctx, DM *newForest) { 1058 DM forest, plex, adaptedDM = NULL; 1059 PetscDS prob; 1060 PetscBool isForest; 1061 PetscQuadrature quad; 1062 PetscInt Nq, *Nb, cStart, cEnd, c, dim, qj, k; 1063 DMLabel adaptLabel = NULL; 1064 1065 PetscFunctionBegin; 1066 forest = ctx->plex[grid]; 1067 PetscCall(DMCreateDS(forest)); 1068 PetscCall(DMGetDS(forest, &prob)); 1069 PetscCall(DMGetDimension(forest, &dim)); 1070 PetscCall(DMIsForest(forest, &isForest)); 1071 PetscCheck(isForest, ctx->comm, PETSC_ERR_ARG_WRONG, "! Forest"); 1072 PetscCall(DMConvert(forest, DMPLEX, &plex)); 1073 PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd)); 1074 PetscCall(DMLabelCreate(PETSC_COMM_SELF, "adapt", &adaptLabel)); 1075 PetscCall(PetscFEGetQuadrature(fem, &quad)); 1076 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, NULL)); 1077 PetscCheck(Nq <= LANDAU_MAX_NQ, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nq = %" PetscInt_FMT " > LANDAU_MAX_NQ (%d)", Nq, LANDAU_MAX_NQ); 1078 PetscCall(PetscDSGetDimensions(prob, &Nb)); 1079 if (type == 4) { 1080 for (c = cStart; c < cEnd; c++) { PetscCall(DMLabelSetValue(adaptLabel, c, DM_ADAPT_REFINE)); } 1081 PetscCall(PetscInfo(sol, "Phase:%s: Uniform refinement\n", "adaptToleranceFEM")); 1082 } else if (type == 2) { 1083 PetscInt rCellIdx[8], eCellIdx[64], iCellIdx[64], eMaxIdx = -1, iMaxIdx = -1, nr = 0, nrmax = (dim == 3) ? 8 : 2; 1084 PetscReal minRad = PETSC_INFINITY, r, eMinRad = PETSC_INFINITY, iMinRad = PETSC_INFINITY; 1085 for (c = 0; c < 64; c++) { eCellIdx[c] = iCellIdx[c] = -1; } 1086 for (c = cStart; c < cEnd; c++) { 1087 PetscReal tt, v0[LANDAU_MAX_NQ * 3], detJ[LANDAU_MAX_NQ]; 1088 PetscCall(DMPlexComputeCellGeometryFEM(plex, c, quad, v0, NULL, NULL, detJ)); 1089 for (qj = 0; qj < Nq; ++qj) { 1090 tt = PetscSqr(v0[dim * qj + 0]) + PetscSqr(v0[dim * qj + 1]) + PetscSqr(((dim == 3) ? v0[dim * qj + 2] : 0)); 1091 r = PetscSqrtReal(tt); 1092 if (r < minRad - PETSC_SQRT_MACHINE_EPSILON * 10.) { 1093 minRad = r; 1094 nr = 0; 1095 rCellIdx[nr++] = c; 1096 PetscCall(PetscInfo(sol, "\t\tPhase: adaptToleranceFEM Found first inner r=%e, cell %" PetscInt_FMT ", qp %" PetscInt_FMT "/%" PetscInt_FMT "\n", (double)r, c, qj + 1, Nq)); 1097 } else if ((r - minRad) < PETSC_SQRT_MACHINE_EPSILON * 100. && nr < nrmax) { 1098 for (k = 0; k < nr; k++) 1099 if (c == rCellIdx[k]) break; 1100 if (k == nr) { 1101 rCellIdx[nr++] = c; 1102 PetscCall(PetscInfo(sol, "\t\t\tPhase: adaptToleranceFEM Found another inner r=%e, cell %" PetscInt_FMT ", qp %" PetscInt_FMT "/%" PetscInt_FMT ", d=%e\n", (double)r, c, qj + 1, Nq, (double)(r - minRad))); 1103 } 1104 } 1105 if (ctx->sphere) { 1106 if ((tt = r - ctx->e_radius) > 0) { 1107 PetscCall(PetscInfo(sol, "\t\t\t %" PetscInt_FMT " cell r=%g\n", c, (double)tt)); 1108 if (tt < eMinRad - PETSC_SQRT_MACHINE_EPSILON * 100.) { 1109 eMinRad = tt; 1110 eMaxIdx = 0; 1111 eCellIdx[eMaxIdx++] = c; 1112 } else if (eMaxIdx > 0 && (tt - eMinRad) <= PETSC_SQRT_MACHINE_EPSILON && c != eCellIdx[eMaxIdx - 1]) { 1113 eCellIdx[eMaxIdx++] = c; 1114 } 1115 } 1116 if ((tt = r - ctx->i_radius[grid]) > 0) { 1117 if (tt < iMinRad - 1.e-5) { 1118 iMinRad = tt; 1119 iMaxIdx = 0; 1120 iCellIdx[iMaxIdx++] = c; 1121 } else if (iMaxIdx > 0 && (tt - iMinRad) <= PETSC_SQRT_MACHINE_EPSILON && c != iCellIdx[iMaxIdx - 1]) { 1122 iCellIdx[iMaxIdx++] = c; 1123 } 1124 } 1125 } 1126 } 1127 } 1128 for (k = 0; k < nr; k++) { PetscCall(DMLabelSetValue(adaptLabel, rCellIdx[k], DM_ADAPT_REFINE)); } 1129 if (ctx->sphere) { 1130 for (c = 0; c < eMaxIdx; c++) { 1131 PetscCall(DMLabelSetValue(adaptLabel, eCellIdx[c], DM_ADAPT_REFINE)); 1132 PetscCall(PetscInfo(sol, "\t\tPhase:%s: refine sphere e cell %" PetscInt_FMT " r=%g\n", "adaptToleranceFEM", eCellIdx[c], (double)eMinRad)); 1133 } 1134 for (c = 0; c < iMaxIdx; c++) { 1135 PetscCall(DMLabelSetValue(adaptLabel, iCellIdx[c], DM_ADAPT_REFINE)); 1136 PetscCall(PetscInfo(sol, "\t\tPhase:%s: refine sphere i cell %" PetscInt_FMT " r=%g\n", "adaptToleranceFEM", iCellIdx[c], (double)iMinRad)); 1137 } 1138 } 1139 PetscCall(PetscInfo(sol, "Phase:%s: Adaptive refine origin cells %" PetscInt_FMT ",%" PetscInt_FMT " r=%g\n", "adaptToleranceFEM", rCellIdx[0], rCellIdx[1], (double)minRad)); 1140 } else if (type == 0 || type == 1 || type == 3) { /* refine along r=0 axis */ 1141 PetscScalar *coef = NULL; 1142 Vec coords; 1143 PetscInt csize, Nv, d, nz; 1144 DM cdm; 1145 PetscSection cs; 1146 PetscCall(DMGetCoordinatesLocal(forest, &coords)); 1147 PetscCall(DMGetCoordinateDM(forest, &cdm)); 1148 PetscCall(DMGetLocalSection(cdm, &cs)); 1149 for (c = cStart; c < cEnd; c++) { 1150 PetscInt doit = 0, outside = 0; 1151 PetscCall(DMPlexVecGetClosure(cdm, cs, coords, c, &csize, &coef)); 1152 Nv = csize / dim; 1153 for (nz = d = 0; d < Nv; d++) { 1154 PetscReal z = PetscRealPart(coef[d * dim + (dim - 1)]), x = PetscSqr(PetscRealPart(coef[d * dim + 0])) + ((dim == 3) ? PetscSqr(PetscRealPart(coef[d * dim + 1])) : 0); 1155 x = PetscSqrtReal(x); 1156 if (x < PETSC_MACHINE_EPSILON * 10. && PetscAbs(z) < PETSC_MACHINE_EPSILON * 10.) doit = 1; /* refine origin */ 1157 else if (type == 0 && (z < -PETSC_MACHINE_EPSILON * 10. || z > ctx->re_radius + PETSC_MACHINE_EPSILON * 10.)) outside++; /* first pass don't refine bottom */ 1158 else if (type == 1 && (z > ctx->vperp0_radius1 || z < -ctx->vperp0_radius1)) outside++; /* don't refine outside electron refine radius */ 1159 else if (type == 3 && (z > ctx->vperp0_radius2 || z < -ctx->vperp0_radius2)) outside++; /* don't refine outside ion refine radius */ 1160 if (x < PETSC_MACHINE_EPSILON * 10.) nz++; 1161 } 1162 PetscCall(DMPlexVecRestoreClosure(cdm, cs, coords, c, &csize, &coef)); 1163 if (doit || (outside < Nv && nz)) { PetscCall(DMLabelSetValue(adaptLabel, c, DM_ADAPT_REFINE)); } 1164 } 1165 PetscCall(PetscInfo(sol, "Phase:%s: RE refinement\n", "adaptToleranceFEM")); 1166 } 1167 PetscCall(DMDestroy(&plex)); 1168 PetscCall(DMAdaptLabel(forest, adaptLabel, &adaptedDM)); 1169 PetscCall(DMLabelDestroy(&adaptLabel)); 1170 *newForest = adaptedDM; 1171 if (adaptedDM) { 1172 if (isForest) { 1173 PetscCall(DMForestSetAdaptivityForest(adaptedDM, NULL)); // ???? 1174 } else exit(33); // ??????? 1175 PetscCall(DMConvert(adaptedDM, DMPLEX, &plex)); 1176 PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd)); 1177 PetscCall(PetscInfo(sol, "\tPhase: adaptToleranceFEM: %" PetscInt_FMT " cells, %" PetscInt_FMT " total quadrature points\n", cEnd - cStart, Nq * (cEnd - cStart))); 1178 PetscCall(DMDestroy(&plex)); 1179 } else *newForest = NULL; 1180 PetscFunctionReturn(0); 1181 } 1182 1183 // forest goes in (ctx->plex[grid]), plex comes out 1184 static PetscErrorCode adapt(PetscInt grid, LandauCtx *ctx, Vec *uu) { 1185 PetscInt adaptIter; 1186 1187 PetscFunctionBegin; 1188 PetscInt type, limits[5] = {(grid == 0) ? ctx->numRERefine : 0, (grid == 0) ? ctx->nZRefine1 : 0, ctx->numAMRRefine[grid], (grid == 0) ? ctx->nZRefine2 : 0, ctx->postAMRRefine[grid]}; 1189 for (type = 0; type < 5; type++) { 1190 for (adaptIter = 0; adaptIter < limits[type]; adaptIter++) { 1191 DM newForest = NULL; 1192 PetscCall(adaptToleranceFEM(ctx->fe[0], *uu, type, grid, ctx, &newForest)); 1193 if (newForest) { 1194 PetscCall(DMDestroy(&ctx->plex[grid])); 1195 PetscCall(VecDestroy(uu)); 1196 PetscCall(DMCreateGlobalVector(newForest, uu)); 1197 PetscCall(PetscObjectSetName((PetscObject)*uu, "uAMR")); 1198 PetscCall(LandauSetInitialCondition(newForest, *uu, grid, 0, 1, ctx)); 1199 ctx->plex[grid] = newForest; 1200 } else { 1201 exit(4); // can happen with no AMR and post refinement 1202 } 1203 } 1204 } 1205 PetscFunctionReturn(0); 1206 } 1207 1208 static PetscErrorCode ProcessOptions(LandauCtx *ctx, const char prefix[]) { 1209 PetscBool flg, sph_flg; 1210 PetscInt ii, nt, nm, nc, num_species_grid[LANDAU_MAX_GRIDS]; 1211 PetscReal v0_grid[LANDAU_MAX_GRIDS]; 1212 DM dummy; 1213 1214 PetscFunctionBegin; 1215 PetscCall(DMCreate(ctx->comm, &dummy)); 1216 /* get options - initialize context */ 1217 ctx->verbose = 1; // should be 0 for silent compliance 1218 #if defined(PETSC_HAVE_THREADSAFETY) 1219 ctx->batch_sz = PetscNumOMPThreads; 1220 #else 1221 ctx->batch_sz = 1; 1222 #endif 1223 ctx->batch_view_idx = 0; 1224 ctx->interpolate = PETSC_TRUE; 1225 ctx->gpu_assembly = PETSC_TRUE; 1226 ctx->norm_state = 0; 1227 ctx->electronShift = 0; 1228 ctx->M = NULL; 1229 ctx->J = NULL; 1230 /* geometry and grids */ 1231 ctx->sphere = PETSC_FALSE; 1232 ctx->inflate = PETSC_FALSE; 1233 ctx->use_p4est = PETSC_FALSE; 1234 ctx->num_sections = 3; /* 2, 3 or 4 */ 1235 for (PetscInt grid = 0; grid < LANDAU_MAX_GRIDS; grid++) { 1236 ctx->radius[grid] = 5.; /* thermal radius (velocity) */ 1237 ctx->numAMRRefine[grid] = 5; 1238 ctx->postAMRRefine[grid] = 0; 1239 ctx->species_offset[grid + 1] = 1; // one species default 1240 num_species_grid[grid] = 0; 1241 ctx->plex[grid] = NULL; /* cache as expensive to Convert */ 1242 } 1243 ctx->species_offset[0] = 0; 1244 ctx->re_radius = 0.; 1245 ctx->vperp0_radius1 = 0; 1246 ctx->vperp0_radius2 = 0; 1247 ctx->nZRefine1 = 0; 1248 ctx->nZRefine2 = 0; 1249 ctx->numRERefine = 0; 1250 num_species_grid[0] = 1; // one species default 1251 /* species - [0] electrons, [1] one ion species eg, duetarium, [2] heavy impurity ion, ... */ 1252 ctx->charges[0] = -1; /* electron charge (MKS) */ 1253 ctx->masses[0] = 1 / 1835.469965278441013; /* temporary value in proton mass */ 1254 ctx->n[0] = 1; 1255 ctx->v_0 = 1; /* thermal velocity, we could start with a scale != 1 */ 1256 ctx->thermal_temps[0] = 1; 1257 /* constants, etc. */ 1258 ctx->epsilon0 = 8.8542e-12; /* permittivity of free space (MKS) F/m */ 1259 ctx->k = 1.38064852e-23; /* Boltzmann constant (MKS) J/K */ 1260 ctx->lnLam = 10; /* cross section ratio large - small angle collisions */ 1261 ctx->n_0 = 1.e20; /* typical plasma n, but could set it to 1 */ 1262 ctx->Ez = 0; 1263 for (PetscInt grid = 0; grid < LANDAU_NUM_TIMERS; grid++) ctx->times[grid] = 0; 1264 ctx->use_matrix_mass = PETSC_FALSE; 1265 ctx->use_relativistic_corrections = PETSC_FALSE; 1266 ctx->use_energy_tensor_trick = PETSC_FALSE; /* Use Eero's trick for energy conservation v --> grad(v^2/2) */ 1267 ctx->SData_d.w = NULL; 1268 ctx->SData_d.x = NULL; 1269 ctx->SData_d.y = NULL; 1270 ctx->SData_d.z = NULL; 1271 ctx->SData_d.invJ = NULL; 1272 ctx->jacobian_field_major_order = PETSC_FALSE; 1273 ctx->SData_d.coo_elem_offsets = NULL; 1274 ctx->SData_d.coo_elem_point_offsets = NULL; 1275 ctx->coo_assembly = PETSC_FALSE; 1276 ctx->SData_d.coo_elem_fullNb = NULL; 1277 ctx->SData_d.coo_size = 0; 1278 PetscOptionsBegin(ctx->comm, prefix, "Options for Fokker-Plank-Landau collision operator", "none"); 1279 { 1280 char opstring[256]; 1281 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1282 ctx->deviceType = LANDAU_KOKKOS; 1283 PetscCall(PetscStrcpy(opstring, "kokkos")); 1284 #elif defined(PETSC_HAVE_CUDA) 1285 ctx->deviceType = LANDAU_CUDA; 1286 PetscCall(PetscStrcpy(opstring, "cuda")); 1287 #else 1288 ctx->deviceType = LANDAU_CPU; 1289 PetscCall(PetscStrcpy(opstring, "cpu")); 1290 #endif 1291 PetscCall(PetscOptionsString("-dm_landau_device_type", "Use kernels on 'cpu', 'cuda', or 'kokkos'", "plexland.c", opstring, opstring, sizeof(opstring), NULL)); 1292 PetscCall(PetscStrcmp("cpu", opstring, &flg)); 1293 if (flg) { 1294 ctx->deviceType = LANDAU_CPU; 1295 } else { 1296 PetscCall(PetscStrcmp("cuda", opstring, &flg)); 1297 if (flg) { 1298 ctx->deviceType = LANDAU_CUDA; 1299 } else { 1300 PetscCall(PetscStrcmp("kokkos", opstring, &flg)); 1301 if (flg) ctx->deviceType = LANDAU_KOKKOS; 1302 else SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_device_type %s", opstring); 1303 } 1304 } 1305 } 1306 PetscCall(PetscOptionsReal("-dm_landau_electron_shift", "Shift in thermal velocity of electrons", "none", ctx->electronShift, &ctx->electronShift, NULL)); 1307 PetscCall(PetscOptionsInt("-dm_landau_verbose", "Level of verbosity output", "plexland.c", ctx->verbose, &ctx->verbose, NULL)); 1308 PetscCall(PetscOptionsInt("-dm_landau_batch_size", "Number of 'vertices' to batch", "ex2.c", ctx->batch_sz, &ctx->batch_sz, NULL)); 1309 PetscCheck(LANDAU_MAX_BATCH_SZ >= ctx->batch_sz, ctx->comm, PETSC_ERR_ARG_WRONG, "LANDAU_MAX_BATCH_SZ %" PetscInt_FMT " < ctx->batch_sz %" PetscInt_FMT, (PetscInt)LANDAU_MAX_BATCH_SZ, ctx->batch_sz); 1310 PetscCall(PetscOptionsInt("-dm_landau_batch_view_idx", "Index of batch for diagnostics like plotting", "ex2.c", ctx->batch_view_idx, &ctx->batch_view_idx, NULL)); 1311 PetscCheck(ctx->batch_view_idx < ctx->batch_sz, ctx->comm, PETSC_ERR_ARG_WRONG, "-ctx->batch_view_idx %" PetscInt_FMT " > ctx->batch_sz %" PetscInt_FMT, ctx->batch_view_idx, ctx->batch_sz); 1312 PetscCall(PetscOptionsReal("-dm_landau_Ez", "Initial parallel electric field in unites of Conner-Hastie critical field", "plexland.c", ctx->Ez, &ctx->Ez, NULL)); 1313 PetscCall(PetscOptionsReal("-dm_landau_n_0", "Normalization constant for number density", "plexland.c", ctx->n_0, &ctx->n_0, NULL)); 1314 PetscCall(PetscOptionsReal("-dm_landau_ln_lambda", "Cross section parameter", "plexland.c", ctx->lnLam, &ctx->lnLam, NULL)); 1315 PetscCall(PetscOptionsBool("-dm_landau_use_mataxpy_mass", "Use fast but slightly fragile MATAXPY to add mass term", "plexland.c", ctx->use_matrix_mass, &ctx->use_matrix_mass, NULL)); 1316 PetscCall(PetscOptionsBool("-dm_landau_use_relativistic_corrections", "Use relativistic corrections", "plexland.c", ctx->use_relativistic_corrections, &ctx->use_relativistic_corrections, NULL)); 1317 PetscCall(PetscOptionsBool("-dm_landau_use_energy_tensor_trick", "Use Eero's trick of using grad(v^2/2) instead of v as args to Landau tensor to conserve energy with relativistic corrections and Q1 elements", "plexland.c", ctx->use_energy_tensor_trick, 1318 &ctx->use_energy_tensor_trick, NULL)); 1319 1320 /* get num species with temperature, set defaults */ 1321 for (ii = 1; ii < LANDAU_MAX_SPECIES; ii++) { 1322 ctx->thermal_temps[ii] = 1; 1323 ctx->charges[ii] = 1; 1324 ctx->masses[ii] = 1; 1325 ctx->n[ii] = 1; 1326 } 1327 nt = LANDAU_MAX_SPECIES; 1328 PetscCall(PetscOptionsRealArray("-dm_landau_thermal_temps", "Temperature of each species [e,i_0,i_1,...] in keV (must be set to set number of species)", "plexland.c", ctx->thermal_temps, &nt, &flg)); 1329 if (flg) { 1330 PetscCall(PetscInfo(dummy, "num_species set to number of thermal temps provided (%" PetscInt_FMT ")\n", nt)); 1331 ctx->num_species = nt; 1332 } else SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_thermal_temps ,t1,t2,.. must be provided to set the number of species"); 1333 for (ii = 0; ii < ctx->num_species; ii++) ctx->thermal_temps[ii] *= 1.1604525e7; /* convert to Kelvin */ 1334 nm = LANDAU_MAX_SPECIES - 1; 1335 PetscCall(PetscOptionsRealArray("-dm_landau_ion_masses", "Mass of each species in units of proton mass [i_0=2,i_1=40...]", "plexland.c", &ctx->masses[1], &nm, &flg)); 1336 PetscCheck(!flg || nm == ctx->num_species - 1, ctx->comm, PETSC_ERR_ARG_WRONG, "num ion masses %" PetscInt_FMT " != num species %" PetscInt_FMT, nm, ctx->num_species - 1); 1337 nm = LANDAU_MAX_SPECIES; 1338 PetscCall(PetscOptionsRealArray("-dm_landau_n", "Number density of each species = n_s * n_0", "plexland.c", ctx->n, &nm, &flg)); 1339 PetscCheck(!flg || nm == ctx->num_species, ctx->comm, PETSC_ERR_ARG_WRONG, "wrong num n: %" PetscInt_FMT " != num species %" PetscInt_FMT, nm, ctx->num_species); 1340 for (ii = 0; ii < LANDAU_MAX_SPECIES; ii++) ctx->masses[ii] *= 1.6720e-27; /* scale by proton mass kg */ 1341 ctx->masses[0] = 9.10938356e-31; /* electron mass kg (should be about right already) */ 1342 ctx->m_0 = ctx->masses[0]; /* arbitrary reference mass, electrons */ 1343 nc = LANDAU_MAX_SPECIES - 1; 1344 PetscCall(PetscOptionsRealArray("-dm_landau_ion_charges", "Charge of each species in units of proton charge [i_0=2,i_1=18,...]", "plexland.c", &ctx->charges[1], &nc, &flg)); 1345 if (flg) PetscCheck(nc == ctx->num_species - 1, ctx->comm, PETSC_ERR_ARG_WRONG, "num charges %" PetscInt_FMT " != num species %" PetscInt_FMT, nc, ctx->num_species - 1); 1346 for (ii = 0; ii < LANDAU_MAX_SPECIES; ii++) ctx->charges[ii] *= 1.6022e-19; /* electron/proton charge (MKS) */ 1347 /* geometry and grids */ 1348 nt = LANDAU_MAX_GRIDS; 1349 PetscCall(PetscOptionsIntArray("-dm_landau_num_species_grid", "Number of species on each grid: [ 1, ....] or [S, 0 ....] for single grid", "plexland.c", num_species_grid, &nt, &flg)); 1350 if (flg) { 1351 ctx->num_grids = nt; 1352 for (ii = nt = 0; ii < ctx->num_grids; ii++) nt += num_species_grid[ii]; 1353 PetscCheck(ctx->num_species == nt, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_num_species_grid: sum %" PetscInt_FMT " != num_species = %" PetscInt_FMT ". %" PetscInt_FMT " grids (check that number of grids <= LANDAU_MAX_GRIDS = %d)", nt, ctx->num_species, 1354 ctx->num_grids, LANDAU_MAX_GRIDS); 1355 } else { 1356 ctx->num_grids = 1; // go back to a single grid run 1357 num_species_grid[0] = ctx->num_species; 1358 } 1359 for (ctx->species_offset[0] = ii = 0; ii < ctx->num_grids; ii++) ctx->species_offset[ii + 1] = ctx->species_offset[ii] + num_species_grid[ii]; 1360 PetscCheck(ctx->species_offset[ctx->num_grids] == ctx->num_species, ctx->comm, PETSC_ERR_ARG_WRONG, "ctx->species_offset[ctx->num_grids] %" PetscInt_FMT " != ctx->num_species = %" PetscInt_FMT " ???????????", ctx->species_offset[ctx->num_grids], 1361 ctx->num_species); 1362 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1363 int iii = ctx->species_offset[grid]; // normalize with first (arbitrary) species on grid 1364 v0_grid[grid] = PetscSqrtReal(ctx->k * ctx->thermal_temps[iii] / ctx->masses[iii]); /* arbitrary units for non-dimensionalization: mean velocity in 1D of first species on grid */ 1365 } 1366 ii = 0; 1367 PetscCall(PetscOptionsInt("-dm_landau_v0_grid", "Index of grid to use for setting v_0 (electrons are default). Not recommended to change", "plexland.c", ii, &ii, NULL)); 1368 ctx->v_0 = v0_grid[ii]; /* arbitrary units for non dimensionalization: global mean velocity in 1D of electrons */ 1369 ctx->t_0 = 8 * PETSC_PI * PetscSqr(ctx->epsilon0 * ctx->m_0 / PetscSqr(ctx->charges[0])) / ctx->lnLam / ctx->n_0 * PetscPowReal(ctx->v_0, 3); /* note, this t_0 makes nu[0,0]=1 */ 1370 /* domain */ 1371 nt = LANDAU_MAX_GRIDS; 1372 PetscCall(PetscOptionsRealArray("-dm_landau_domain_radius", "Phase space size in units of thermal velocity of grid", "plexland.c", ctx->radius, &nt, &flg)); 1373 if (flg) PetscCheck(nt >= ctx->num_grids, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_domain_radius: given %" PetscInt_FMT " radius != number grids %" PetscInt_FMT, nt, ctx->num_grids); 1374 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1375 if (flg && ctx->radius[grid] <= 0) { /* negative is ratio of c */ 1376 if (ctx->radius[grid] == 0) ctx->radius[grid] = 0.75; 1377 else ctx->radius[grid] = -ctx->radius[grid]; 1378 ctx->radius[grid] = ctx->radius[grid] * SPEED_OF_LIGHT / ctx->v_0; // use any species on grid to normalize (v_0 same for all on grid) 1379 PetscCall(PetscInfo(dummy, "Change domain radius to %g for grid %" PetscInt_FMT "\n", (double)ctx->radius[grid], grid)); 1380 } 1381 ctx->radius[grid] *= v0_grid[grid] / ctx->v_0; // scale domain by thermal radius relative to v_0 1382 } 1383 /* amr parametres */ 1384 nt = LANDAU_MAX_GRIDS; 1385 PetscCall(PetscOptionsIntArray("-dm_landau_amr_levels_max", "Number of AMR levels of refinement around origin, after (RE) refinements along z", "plexland.c", ctx->numAMRRefine, &nt, &flg)); 1386 PetscCheck(!flg || nt >= ctx->num_grids, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_amr_levels_max: given %" PetscInt_FMT " != number grids %" PetscInt_FMT, nt, ctx->num_grids); 1387 nt = LANDAU_MAX_GRIDS; 1388 PetscCall(PetscOptionsIntArray("-dm_landau_amr_post_refine", "Number of levels to uniformly refine after AMR", "plexland.c", ctx->postAMRRefine, &nt, &flg)); 1389 for (ii = 1; ii < ctx->num_grids; ii++) ctx->postAMRRefine[ii] = ctx->postAMRRefine[0]; // all grids the same now 1390 PetscCall(PetscOptionsInt("-dm_landau_amr_re_levels", "Number of levels to refine along v_perp=0, z>0", "plexland.c", ctx->numRERefine, &ctx->numRERefine, &flg)); 1391 PetscCall(PetscOptionsInt("-dm_landau_amr_z_refine1", "Number of levels to refine along v_perp=0", "plexland.c", ctx->nZRefine1, &ctx->nZRefine1, &flg)); 1392 PetscCall(PetscOptionsInt("-dm_landau_amr_z_refine2", "Number of levels to refine along v_perp=0", "plexland.c", ctx->nZRefine2, &ctx->nZRefine2, &flg)); 1393 PetscCall(PetscOptionsReal("-dm_landau_re_radius", "velocity range to refine on positive (z>0) r=0 axis for runaways", "plexland.c", ctx->re_radius, &ctx->re_radius, &flg)); 1394 PetscCall(PetscOptionsReal("-dm_landau_z_radius1", "velocity range to refine r=0 axis (for electrons)", "plexland.c", ctx->vperp0_radius1, &ctx->vperp0_radius1, &flg)); 1395 PetscCall(PetscOptionsReal("-dm_landau_z_radius2", "velocity range to refine r=0 axis (for ions) after origin AMR", "plexland.c", ctx->vperp0_radius2, &ctx->vperp0_radius2, &flg)); 1396 /* spherical domain (not used) */ 1397 PetscCall(PetscOptionsInt("-dm_landau_num_sections", "Number of tangential section in (2D) grid, 2, 3, of 4", "plexland.c", ctx->num_sections, &ctx->num_sections, NULL)); 1398 PetscCall(PetscOptionsBool("-dm_landau_sphere", "use sphere/semi-circle domain instead of rectangle", "plexland.c", ctx->sphere, &ctx->sphere, &sph_flg)); 1399 PetscCall(PetscOptionsBool("-dm_landau_inflate", "With sphere, inflate for curved edges", "plexland.c", ctx->inflate, &ctx->inflate, &flg)); 1400 PetscCall(PetscOptionsReal("-dm_landau_e_radius", "Electron thermal velocity, used for circular meshes", "plexland.c", ctx->e_radius, &ctx->e_radius, &flg)); 1401 if (flg && !sph_flg) ctx->sphere = PETSC_TRUE; /* you gave me an e radius but did not set sphere, user error really */ 1402 if (!flg) { ctx->e_radius = 1.5 * PetscSqrtReal(8 * ctx->k * ctx->thermal_temps[0] / ctx->masses[0] / PETSC_PI) / ctx->v_0; } 1403 nt = LANDAU_MAX_GRIDS; 1404 PetscCall(PetscOptionsRealArray("-dm_landau_i_radius", "Ion thermal velocity, used for circular meshes", "plexland.c", ctx->i_radius, &nt, &flg)); 1405 if (flg && !sph_flg) ctx->sphere = PETSC_TRUE; 1406 if (!flg) { 1407 ctx->i_radius[0] = 1.5 * PetscSqrtReal(8 * ctx->k * ctx->thermal_temps[1] / ctx->masses[1] / PETSC_PI) / ctx->v_0; // need to correct for ion grid domain 1408 } 1409 if (flg) PetscCheck(ctx->num_grids == nt, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_i_radius: %" PetscInt_FMT " != num_species = %" PetscInt_FMT, nt, ctx->num_grids); 1410 if (ctx->sphere) PetscCheck(ctx->e_radius > ctx->i_radius[0], ctx->comm, PETSC_ERR_ARG_WRONG, "bad radii: %g < %g < %g", (double)ctx->i_radius[0], (double)ctx->e_radius, (double)ctx->radius[0]); 1411 /* processing options */ 1412 PetscCall(PetscOptionsBool("-dm_landau_gpu_assembly", "Assemble Jacobian on GPU", "plexland.c", ctx->gpu_assembly, &ctx->gpu_assembly, NULL)); 1413 if (ctx->deviceType == LANDAU_CPU || ctx->deviceType == LANDAU_KOKKOS) { // make Kokkos 1414 PetscCall(PetscOptionsBool("-dm_landau_coo_assembly", "Assemble Jacobian with Kokkos on 'device'", "plexland.c", ctx->coo_assembly, &ctx->coo_assembly, NULL)); 1415 if (ctx->coo_assembly) PetscCheck(ctx->gpu_assembly, ctx->comm, PETSC_ERR_ARG_WRONG, "COO assembly requires 'gpu assembly' even if Kokkos 'CPU' back-end %d", ctx->coo_assembly); 1416 } 1417 PetscCall(PetscOptionsBool("-dm_landau_jacobian_field_major_order", "Reorder Jacobian for GPU assembly with field major, or block diagonal, ordering (DEPRECATED)", "plexland.c", ctx->jacobian_field_major_order, &ctx->jacobian_field_major_order, NULL)); 1418 if (ctx->jacobian_field_major_order) PetscCheck(ctx->gpu_assembly, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_jacobian_field_major_order requires -dm_landau_gpu_assembly"); 1419 PetscCheck(!ctx->jacobian_field_major_order, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_jacobian_field_major_order DEPRECATED"); 1420 PetscOptionsEnd(); 1421 1422 for (ii = ctx->num_species; ii < LANDAU_MAX_SPECIES; ii++) ctx->masses[ii] = ctx->thermal_temps[ii] = ctx->charges[ii] = 0; 1423 if (ctx->verbose > 0) { 1424 PetscCall(PetscPrintf(ctx->comm, "masses: e=%10.3e; ions in proton mass units: %10.3e %10.3e ...\n", (double)ctx->masses[0], (double)(ctx->masses[1] / 1.6720e-27), (double)(ctx->num_species > 2 ? ctx->masses[2] / 1.6720e-27 : 0))); 1425 PetscCall(PetscPrintf(ctx->comm, "charges: e=%10.3e; charges in elementary units: %10.3e %10.3e\n", (double)ctx->charges[0], (double)(-ctx->charges[1] / ctx->charges[0]), (double)(ctx->num_species > 2 ? -ctx->charges[2] / ctx->charges[0] : 0))); 1426 PetscCall(PetscPrintf(ctx->comm, "n: e: %10.3e i: %10.3e %10.3e\n", (double)ctx->n[0], (double)ctx->n[1], (double)(ctx->num_species > 2 ? ctx->n[2] : 0))); 1427 PetscCall(PetscPrintf(ctx->comm, "thermal T (K): e=%10.3e i=%10.3e %10.3e. v_0=%10.3e (%10.3ec) n_0=%10.3e t_0=%10.3e, %s, %s, %" PetscInt_FMT " batched\n", (double)ctx->thermal_temps[0], (double)ctx->thermal_temps[1], 1428 (double)((ctx->num_species > 2) ? ctx->thermal_temps[2] : 0), (double)ctx->v_0, (double)(ctx->v_0 / SPEED_OF_LIGHT), (double)ctx->n_0, (double)ctx->t_0, ctx->use_relativistic_corrections ? "relativistic" : "classical", ctx->use_energy_tensor_trick ? "Use trick" : "Intuitive", 1429 ctx->batch_sz)); 1430 PetscCall(PetscPrintf(ctx->comm, "Domain radius (AMR levels) grid %d: %10.3e (%" PetscInt_FMT ") ", 0, (double)ctx->radius[0], ctx->numAMRRefine[0])); 1431 for (ii = 1; ii < ctx->num_grids; ii++) PetscCall(PetscPrintf(ctx->comm, ", %" PetscInt_FMT ": %10.3e (%" PetscInt_FMT ") ", ii, (double)ctx->radius[ii], ctx->numAMRRefine[ii])); 1432 PetscCall(PetscPrintf(ctx->comm, "\n")); 1433 if (ctx->jacobian_field_major_order) { 1434 PetscCall(PetscPrintf(ctx->comm, "Using field major order for GPU Jacobian\n")); 1435 } else { 1436 PetscCall(PetscPrintf(ctx->comm, "Using default Plex order for all matrices\n")); 1437 } 1438 } 1439 PetscCall(DMDestroy(&dummy)); 1440 { 1441 PetscMPIInt rank; 1442 PetscCallMPI(MPI_Comm_rank(ctx->comm, &rank)); 1443 ctx->stage = 0; 1444 PetscCall(PetscLogEventRegister("Landau Create", DM_CLASSID, &ctx->events[13])); /* 13 */ 1445 PetscCall(PetscLogEventRegister(" GPU ass. setup", DM_CLASSID, &ctx->events[2])); /* 2 */ 1446 PetscCall(PetscLogEventRegister(" Build matrix", DM_CLASSID, &ctx->events[12])); /* 12 */ 1447 PetscCall(PetscLogEventRegister(" Assembly maps", DM_CLASSID, &ctx->events[15])); /* 15 */ 1448 PetscCall(PetscLogEventRegister("Landau Mass mat", DM_CLASSID, &ctx->events[14])); /* 14 */ 1449 PetscCall(PetscLogEventRegister("Landau Operator", DM_CLASSID, &ctx->events[11])); /* 11 */ 1450 PetscCall(PetscLogEventRegister("Landau Jacobian", DM_CLASSID, &ctx->events[0])); /* 0 */ 1451 PetscCall(PetscLogEventRegister("Landau Mass", DM_CLASSID, &ctx->events[9])); /* 9 */ 1452 PetscCall(PetscLogEventRegister(" Preamble", DM_CLASSID, &ctx->events[10])); /* 10 */ 1453 PetscCall(PetscLogEventRegister(" static IP Data", DM_CLASSID, &ctx->events[7])); /* 7 */ 1454 PetscCall(PetscLogEventRegister(" dynamic IP-Jac", DM_CLASSID, &ctx->events[1])); /* 1 */ 1455 PetscCall(PetscLogEventRegister(" Kernel-init", DM_CLASSID, &ctx->events[3])); /* 3 */ 1456 PetscCall(PetscLogEventRegister(" Jac-f-df (GPU)", DM_CLASSID, &ctx->events[8])); /* 8 */ 1457 PetscCall(PetscLogEventRegister(" J Kernel (GPU)", DM_CLASSID, &ctx->events[4])); /* 4 */ 1458 PetscCall(PetscLogEventRegister(" M Kernel (GPU)", DM_CLASSID, &ctx->events[16])); /* 16 */ 1459 PetscCall(PetscLogEventRegister(" Copy to CPU", DM_CLASSID, &ctx->events[5])); /* 5 */ 1460 PetscCall(PetscLogEventRegister(" CPU assemble", DM_CLASSID, &ctx->events[6])); /* 6 */ 1461 1462 if (rank) { /* turn off output stuff for duplicate runs - do we need to add the prefix to all this? */ 1463 PetscCall(PetscOptionsClearValue(NULL, "-snes_converged_reason")); 1464 PetscCall(PetscOptionsClearValue(NULL, "-ksp_converged_reason")); 1465 PetscCall(PetscOptionsClearValue(NULL, "-snes_monitor")); 1466 PetscCall(PetscOptionsClearValue(NULL, "-ksp_monitor")); 1467 PetscCall(PetscOptionsClearValue(NULL, "-ts_monitor")); 1468 PetscCall(PetscOptionsClearValue(NULL, "-ts_view")); 1469 PetscCall(PetscOptionsClearValue(NULL, "-ts_adapt_monitor")); 1470 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_amr_dm_view")); 1471 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_amr_vec_view")); 1472 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mass_dm_view")); 1473 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mass_view")); 1474 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_jacobian_view")); 1475 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mat_view")); 1476 PetscCall(PetscOptionsClearValue(NULL, "-pc_bjkokkos_ksp_converged_reason")); 1477 PetscCall(PetscOptionsClearValue(NULL, "-pc_bjkokkos_ksp_monitor")); 1478 PetscCall(PetscOptionsClearValue(NULL, "-")); 1479 PetscCall(PetscOptionsClearValue(NULL, "-info")); 1480 } 1481 } 1482 PetscFunctionReturn(0); 1483 } 1484 1485 static PetscErrorCode CreateStaticGPUData(PetscInt dim, IS grid_batch_is_inv[], LandauCtx *ctx) { 1486 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 1487 PetscQuadrature quad; 1488 const PetscReal *quadWeights; 1489 PetscInt numCells[LANDAU_MAX_GRIDS], Nq, Nf[LANDAU_MAX_GRIDS], ncellsTot = 0, MAP_BF_SIZE = 64 * LANDAU_DIM * LANDAU_DIM * LANDAU_MAX_Q_FACE * LANDAU_MAX_SPECIES; 1490 PetscTabulation *Tf; 1491 PetscDS prob; 1492 1493 PetscFunctionBegin; 1494 PetscCall(DMGetDS(ctx->plex[0], &prob)); // same DS for all grids 1495 PetscCall(PetscDSGetTabulation(prob, &Tf)); // Bf, &Df same for all grids 1496 /* DS, Tab and quad is same on all grids */ 1497 PetscCheck(ctx->plex[0], ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 1498 PetscCall(PetscFEGetQuadrature(ctx->fe[0], &quad)); 1499 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, &quadWeights)); 1500 PetscCheck(Nq <= LANDAU_MAX_NQ, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nq = %" PetscInt_FMT " > LANDAU_MAX_NQ (%d)", Nq, LANDAU_MAX_NQ); 1501 /* setup each grid */ 1502 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1503 PetscInt cStart, cEnd; 1504 PetscCheck(ctx->plex[grid] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 1505 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1506 numCells[grid] = cEnd - cStart; // grids can have different topology 1507 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 1508 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 1509 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 1510 ncellsTot += numCells[grid]; 1511 } 1512 /* create GPU assembly data */ 1513 if (ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 1514 PetscContainer container; 1515 PetscScalar *elemMatrix, *elMat; 1516 pointInterpolationP4est(*pointMaps)[LANDAU_MAX_Q_FACE]; 1517 P4estVertexMaps *maps; 1518 const PetscInt *plex_batch = NULL, Nb = Nq, elMatSz = Nq * Nq * ctx->num_species * ctx->num_species; // tensor elements; 1519 LandauIdx *coo_elem_offsets = NULL, *coo_elem_fullNb = NULL, (*coo_elem_point_offsets)[LANDAU_MAX_NQ + 1] = NULL; 1520 /* create GPU asssembly data */ 1521 PetscCall(PetscInfo(ctx->plex[0], "Make GPU maps %d\n", 1)); 1522 PetscCall(PetscLogEventBegin(ctx->events[2], 0, 0, 0, 0)); 1523 PetscCall(PetscMalloc(sizeof(*maps) * ctx->num_grids, &maps)); 1524 PetscCall(PetscMalloc(sizeof(*pointMaps) * MAP_BF_SIZE, &pointMaps)); 1525 PetscCall(PetscMalloc(sizeof(*elemMatrix) * elMatSz, &elemMatrix)); 1526 1527 if (ctx->coo_assembly) { // setup COO assembly -- put COO metadata directly in ctx->SData_d 1528 PetscCall(PetscMalloc3(ncellsTot + 1, &coo_elem_offsets, ncellsTot, &coo_elem_fullNb, ncellsTot, &coo_elem_point_offsets)); // array of integer pointers 1529 coo_elem_offsets[0] = 0; // finish later 1530 PetscCall(PetscInfo(ctx->plex[0], "COO initialization, %" PetscInt_FMT " cells\n", ncellsTot)); 1531 ctx->SData_d.coo_n_cellsTot = ncellsTot; 1532 ctx->SData_d.coo_elem_offsets = (void *)coo_elem_offsets; 1533 ctx->SData_d.coo_elem_fullNb = (void *)coo_elem_fullNb; 1534 ctx->SData_d.coo_elem_point_offsets = (void *)coo_elem_point_offsets; 1535 } else { 1536 ctx->SData_d.coo_elem_offsets = ctx->SData_d.coo_elem_fullNb = NULL; 1537 ctx->SData_d.coo_elem_point_offsets = NULL; 1538 ctx->SData_d.coo_n_cellsTot = 0; 1539 } 1540 1541 ctx->SData_d.coo_max_fullnb = 0; 1542 for (PetscInt grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1543 PetscInt cStart, cEnd, Nfloc = Nf[grid], totDim = Nfloc * Nq; 1544 if (grid_batch_is_inv[grid]) { PetscCall(ISGetIndices(grid_batch_is_inv[grid], &plex_batch)); } 1545 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1546 // make maps 1547 maps[grid].d_self = NULL; 1548 maps[grid].num_elements = numCells[grid]; 1549 maps[grid].num_face = (PetscInt)(pow(Nq, 1. / ((double)dim)) + .001); // Q 1550 maps[grid].num_face = (PetscInt)(pow(maps[grid].num_face, (double)(dim - 1)) + .001); // Q^2 1551 maps[grid].num_reduced = 0; 1552 maps[grid].deviceType = ctx->deviceType; 1553 maps[grid].numgrids = ctx->num_grids; 1554 // count reduced and get 1555 PetscCall(PetscMalloc(maps[grid].num_elements * sizeof(*maps[grid].gIdx), &maps[grid].gIdx)); 1556 for (int ej = cStart, eidx = 0; ej < cEnd; ++ej, ++eidx, glb_elem_idx++) { 1557 if (coo_elem_offsets) coo_elem_offsets[glb_elem_idx + 1] = coo_elem_offsets[glb_elem_idx]; // start with last one, then add 1558 for (int fieldA = 0; fieldA < Nf[grid]; fieldA++) { 1559 int fullNb = 0; 1560 for (int q = 0; q < Nb; ++q) { 1561 PetscInt numindices, *indices; 1562 PetscScalar *valuesOrig = elMat = elemMatrix; 1563 PetscCall(PetscArrayzero(elMat, totDim * totDim)); 1564 elMat[(fieldA * Nb + q) * totDim + fieldA * Nb + q] = 1; 1565 PetscCall(DMPlexGetClosureIndices(ctx->plex[grid], section[grid], globsection[grid], ej, PETSC_TRUE, &numindices, &indices, NULL, (PetscScalar **)&elMat)); 1566 for (PetscInt f = 0; f < numindices; ++f) { // look for a non-zero on the diagonal 1567 if (PetscAbs(PetscRealPart(elMat[f * numindices + f])) > PETSC_MACHINE_EPSILON) { 1568 // found it 1569 if (PetscAbs(PetscRealPart(elMat[f * numindices + f] - 1.)) < PETSC_MACHINE_EPSILON) { // normal vertex 1.0 1570 if (plex_batch) { 1571 maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)plex_batch[indices[f]]; 1572 } else { 1573 maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)indices[f]; 1574 } 1575 fullNb++; 1576 } else { //found a constraint 1577 int jj = 0; 1578 PetscReal sum = 0; 1579 const PetscInt ff = f; 1580 maps[grid].gIdx[eidx][fieldA][q] = -maps[grid].num_reduced - 1; // store (-)index: id = -(idx+1): idx = -id - 1 1581 1582 do { // constraints are continuous in Plex - exploit that here 1583 int ii; // get 'scale' 1584 for (ii = 0, pointMaps[maps[grid].num_reduced][jj].scale = 0; ii < maps[grid].num_face; ii++) { // sum row of outer product to recover vector value 1585 if (ff + ii < numindices) { // 3D has Q and Q^2 interps so might run off end. We could test that elMat[f*numindices + ff + ii] > 0, and break if not 1586 pointMaps[maps[grid].num_reduced][jj].scale += PetscRealPart(elMat[f * numindices + ff + ii]); 1587 } 1588 } 1589 sum += pointMaps[maps[grid].num_reduced][jj].scale; // diagnostic 1590 // get 'gid' 1591 if (pointMaps[maps[grid].num_reduced][jj].scale == 0) pointMaps[maps[grid].num_reduced][jj].gid = -1; // 3D has Q and Q^2 interps 1592 else { 1593 if (plex_batch) { 1594 pointMaps[maps[grid].num_reduced][jj].gid = plex_batch[indices[f]]; 1595 } else { 1596 pointMaps[maps[grid].num_reduced][jj].gid = indices[f]; 1597 } 1598 fullNb++; 1599 } 1600 } while (++jj < maps[grid].num_face && ++f < numindices); // jj is incremented if we hit the end 1601 while (jj < maps[grid].num_face) { 1602 pointMaps[maps[grid].num_reduced][jj].scale = 0; 1603 pointMaps[maps[grid].num_reduced][jj].gid = -1; 1604 jj++; 1605 } 1606 if (PetscAbs(sum - 1.0) > 10 * PETSC_MACHINE_EPSILON) { // debug 1607 int d, f; 1608 PetscReal tmp = 0; 1609 PetscCall(PetscPrintf(PETSC_COMM_SELF, "\t\t%d.%d.%d) ERROR total I = %22.16e (LANDAU_MAX_Q_FACE=%d, #face=%d)\n", eidx, q, fieldA, (double)sum, LANDAU_MAX_Q_FACE, maps[grid].num_face)); 1610 for (d = 0, tmp = 0; d < numindices; ++d) { 1611 if (tmp != 0 && PetscAbs(tmp - 1.0) > 10 * PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "%3d) %3" PetscInt_FMT ": ", d, indices[d])); 1612 for (f = 0; f < numindices; ++f) { tmp += PetscRealPart(elMat[d * numindices + f]); } 1613 if (tmp != 0) PetscCall(PetscPrintf(ctx->comm, " | %22.16e\n", (double)tmp)); 1614 } 1615 } 1616 maps[grid].num_reduced++; 1617 PetscCheck(maps[grid].num_reduced < MAP_BF_SIZE, PETSC_COMM_SELF, PETSC_ERR_PLIB, "maps[grid].num_reduced %d > %" PetscInt_FMT, maps[grid].num_reduced, MAP_BF_SIZE); 1618 } 1619 break; 1620 } 1621 } 1622 // cleanup 1623 PetscCall(DMPlexRestoreClosureIndices(ctx->plex[grid], section[grid], globsection[grid], ej, PETSC_TRUE, &numindices, &indices, NULL, (PetscScalar **)&elMat)); 1624 if (elMat != valuesOrig) PetscCall(DMRestoreWorkArray(ctx->plex[grid], numindices * numindices, MPIU_SCALAR, &elMat)); 1625 } 1626 if (ctx->coo_assembly) { // setup COO assembly 1627 coo_elem_offsets[glb_elem_idx + 1] += fullNb * fullNb; // one species block, adds a block for each species, on this element in this grid 1628 if (fieldA == 0) { // cache full Nb for this element, on this grid per species 1629 coo_elem_fullNb[glb_elem_idx] = fullNb; 1630 if (fullNb > ctx->SData_d.coo_max_fullnb) ctx->SData_d.coo_max_fullnb = fullNb; 1631 } else PetscCheck(coo_elem_fullNb[glb_elem_idx] == fullNb, PETSC_COMM_SELF, PETSC_ERR_PLIB, "full element size change with species %d %d", coo_elem_fullNb[glb_elem_idx], fullNb); 1632 } 1633 } // field 1634 } // cell 1635 // allocate and copy point data maps[grid].gIdx[eidx][field][q] 1636 PetscCall(PetscMalloc(maps[grid].num_reduced * sizeof(*maps[grid].c_maps), &maps[grid].c_maps)); 1637 for (int ej = 0; ej < maps[grid].num_reduced; ++ej) { 1638 for (int q = 0; q < maps[grid].num_face; ++q) { 1639 maps[grid].c_maps[ej][q].scale = pointMaps[ej][q].scale; 1640 maps[grid].c_maps[ej][q].gid = pointMaps[ej][q].gid; 1641 } 1642 } 1643 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1644 if (ctx->deviceType == LANDAU_KOKKOS) { 1645 PetscCall(LandauKokkosCreateMatMaps(maps, pointMaps, Nf, Nq, grid)); // imples Kokkos does 1646 } // else could be CUDA 1647 #endif 1648 #if defined(PETSC_HAVE_CUDA) 1649 if (ctx->deviceType == LANDAU_CUDA) { PetscCall(LandauCUDACreateMatMaps(maps, pointMaps, Nf, Nq, grid)); } 1650 #endif 1651 if (plex_batch) { 1652 PetscCall(ISRestoreIndices(grid_batch_is_inv[grid], &plex_batch)); 1653 PetscCall(ISDestroy(&grid_batch_is_inv[grid])); // we are done with this 1654 } 1655 } /* grids */ 1656 // finish COO 1657 if (ctx->coo_assembly) { // setup COO assembly 1658 PetscInt *oor, *ooc; 1659 ctx->SData_d.coo_size = coo_elem_offsets[ncellsTot] * ctx->batch_sz; 1660 PetscCall(PetscMalloc2(ctx->SData_d.coo_size, &oor, ctx->SData_d.coo_size, &ooc)); 1661 for (int i = 0; i < ctx->SData_d.coo_size; i++) oor[i] = ooc[i] = -1; 1662 // get 1663 for (int grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1664 for (int ej = 0; ej < numCells[grid]; ++ej, glb_elem_idx++) { 1665 const int fullNb = coo_elem_fullNb[glb_elem_idx]; 1666 const LandauIdx *const Idxs = &maps[grid].gIdx[ej][0][0]; // just use field-0 maps, They should be the same but this is just for COO storage 1667 coo_elem_point_offsets[glb_elem_idx][0] = 0; 1668 for (int f = 0, cnt2 = 0; f < Nb; f++) { 1669 int idx = Idxs[f]; 1670 coo_elem_point_offsets[glb_elem_idx][f + 1] = coo_elem_point_offsets[glb_elem_idx][f]; // start at last 1671 if (idx >= 0) { 1672 cnt2++; 1673 coo_elem_point_offsets[glb_elem_idx][f + 1]++; // inc 1674 } else { 1675 idx = -idx - 1; 1676 for (int q = 0; q < maps[grid].num_face; q++) { 1677 if (maps[grid].c_maps[idx][q].gid < 0) break; 1678 cnt2++; 1679 coo_elem_point_offsets[glb_elem_idx][f + 1]++; // inc 1680 } 1681 } 1682 PetscCheck(cnt2 <= fullNb, PETSC_COMM_SELF, PETSC_ERR_PLIB, "wrong count %d < %d", fullNb, cnt2); 1683 } 1684 PetscCheck(coo_elem_point_offsets[glb_elem_idx][Nb] == fullNb, PETSC_COMM_SELF, PETSC_ERR_PLIB, "coo_elem_point_offsets size %d != fullNb=%d", coo_elem_point_offsets[glb_elem_idx][Nb], fullNb); 1685 } 1686 } 1687 // set 1688 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 1689 for (int grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1690 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 1691 for (int ej = 0; ej < numCells[grid]; ++ej, glb_elem_idx++) { 1692 const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb; 1693 // set (i,j) 1694 for (int fieldA = 0; fieldA < Nf[grid]; fieldA++) { 1695 const LandauIdx *const Idxs = &maps[grid].gIdx[ej][fieldA][0]; 1696 int rows[LANDAU_MAX_Q_FACE], cols[LANDAU_MAX_Q_FACE]; 1697 for (int f = 0; f < Nb; ++f) { 1698 const int nr = coo_elem_point_offsets[glb_elem_idx][f + 1] - coo_elem_point_offsets[glb_elem_idx][f]; 1699 if (nr == 1) rows[0] = Idxs[f]; 1700 else { 1701 const int idx = -Idxs[f] - 1; 1702 for (int q = 0; q < nr; q++) { rows[q] = maps[grid].c_maps[idx][q].gid; } 1703 } 1704 for (int g = 0; g < Nb; ++g) { 1705 const int nc = coo_elem_point_offsets[glb_elem_idx][g + 1] - coo_elem_point_offsets[glb_elem_idx][g]; 1706 if (nc == 1) cols[0] = Idxs[g]; 1707 else { 1708 const int idx = -Idxs[g] - 1; 1709 for (int q = 0; q < nc; q++) { cols[q] = maps[grid].c_maps[idx][q].gid; } 1710 } 1711 const int idx0 = b_id * coo_elem_offsets[ncellsTot] + coo_elem_offsets[glb_elem_idx] + fieldA * fullNb2 + fullNb * coo_elem_point_offsets[glb_elem_idx][f] + nr * coo_elem_point_offsets[glb_elem_idx][g]; 1712 for (int q = 0, idx = idx0; q < nr; q++) { 1713 for (int d = 0; d < nc; d++, idx++) { 1714 oor[idx] = rows[q] + moffset; 1715 ooc[idx] = cols[d] + moffset; 1716 } 1717 } 1718 } 1719 } 1720 } 1721 } // cell 1722 } // grid 1723 } // batch 1724 PetscCall(MatSetPreallocationCOO(ctx->J, ctx->SData_d.coo_size, oor, ooc)); 1725 PetscCall(PetscFree2(oor, ooc)); 1726 } 1727 PetscCall(PetscFree(pointMaps)); 1728 PetscCall(PetscFree(elemMatrix)); 1729 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 1730 PetscCall(PetscContainerSetPointer(container, (void *)maps)); 1731 PetscCall(PetscContainerSetUserDestroy(container, LandauGPUMapsDestroy)); 1732 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "assembly_maps", (PetscObject)container)); 1733 PetscCall(PetscContainerDestroy(&container)); 1734 PetscCall(PetscLogEventEnd(ctx->events[2], 0, 0, 0, 0)); 1735 } // end GPU assembly 1736 { /* create static point data, Jacobian called first, only one vertex copy */ 1737 PetscReal *invJe, *ww, *xx, *yy, *zz = NULL, *invJ_a; 1738 PetscInt outer_ipidx, outer_ej, grid, nip_glb = 0; 1739 PetscFE fe; 1740 const PetscInt Nb = Nq; 1741 PetscCall(PetscLogEventBegin(ctx->events[7], 0, 0, 0, 0)); 1742 PetscCall(PetscInfo(ctx->plex[0], "Initialize static data\n")); 1743 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) nip_glb += Nq * numCells[grid]; 1744 /* collect f data, first time is for Jacobian, but make mass now */ 1745 if (ctx->verbose > 0) { 1746 PetscInt ncells = 0, N; 1747 PetscCall(MatGetSize(ctx->J, &N, NULL)); 1748 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) ncells += numCells[grid]; 1749 PetscCall(PetscPrintf(ctx->comm, "%d) %s %" PetscInt_FMT " IPs, %" PetscInt_FMT " cells total, Nb=%" PetscInt_FMT ", Nq=%" PetscInt_FMT ", dim=%" PetscInt_FMT ", Tab: Nb=%" PetscInt_FMT " Nf=%" PetscInt_FMT " Np=%" PetscInt_FMT " cdim=%" PetscInt_FMT " N=%" PetscInt_FMT "\n", 0, "FormLandau", nip_glb, ncells, Nb, Nq, dim, Nb, 1750 ctx->num_species, Nb, dim, N)); 1751 } 1752 PetscCall(PetscMalloc4(nip_glb, &ww, nip_glb, &xx, nip_glb, &yy, nip_glb * dim * dim, &invJ_a)); 1753 if (dim == 3) { PetscCall(PetscMalloc1(nip_glb, &zz)); } 1754 if (ctx->use_energy_tensor_trick) { 1755 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, PETSC_FALSE, NULL, PETSC_DECIDE, &fe)); 1756 PetscCall(PetscObjectSetName((PetscObject)fe, "energy")); 1757 } 1758 /* init each grids static data - no batch */ 1759 for (grid = 0, outer_ipidx = 0, outer_ej = 0; grid < ctx->num_grids; grid++) { // OpenMP (once) 1760 Vec v2_2 = NULL; // projected function: v^2/2 for non-relativistic, gamma... for relativistic 1761 PetscSection e_section; 1762 DM dmEnergy; 1763 PetscInt cStart, cEnd, ej; 1764 1765 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1766 // prep energy trick, get v^2 / 2 vector 1767 if (ctx->use_energy_tensor_trick) { 1768 PetscErrorCode (*energyf[1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *) = {ctx->use_relativistic_corrections ? gamma_m1_f : energy_f}; 1769 Vec glob_v2; 1770 PetscReal *c2_0[1], data[1] = {PetscSqr(C_0(ctx->v_0))}; 1771 1772 PetscCall(DMClone(ctx->plex[grid], &dmEnergy)); 1773 PetscCall(PetscObjectSetName((PetscObject)dmEnergy, "energy")); 1774 PetscCall(DMSetField(dmEnergy, 0, NULL, (PetscObject)fe)); 1775 PetscCall(DMCreateDS(dmEnergy)); 1776 PetscCall(DMGetSection(dmEnergy, &e_section)); 1777 PetscCall(DMGetGlobalVector(dmEnergy, &glob_v2)); 1778 PetscCall(PetscObjectSetName((PetscObject)glob_v2, "trick")); 1779 c2_0[0] = &data[0]; 1780 PetscCall(DMProjectFunction(dmEnergy, 0., energyf, (void **)c2_0, INSERT_ALL_VALUES, glob_v2)); 1781 PetscCall(DMGetLocalVector(dmEnergy, &v2_2)); 1782 PetscCall(VecZeroEntries(v2_2)); /* zero BCs so don't set */ 1783 PetscCall(DMGlobalToLocalBegin(dmEnergy, glob_v2, INSERT_VALUES, v2_2)); 1784 PetscCall(DMGlobalToLocalEnd(dmEnergy, glob_v2, INSERT_VALUES, v2_2)); 1785 PetscCall(DMViewFromOptions(dmEnergy, NULL, "-energy_dm_view")); 1786 PetscCall(VecViewFromOptions(glob_v2, NULL, "-energy_vec_view")); 1787 PetscCall(DMRestoreGlobalVector(dmEnergy, &glob_v2)); 1788 } 1789 /* append part of the IP data for each grid */ 1790 for (ej = 0; ej < numCells[grid]; ++ej, ++outer_ej) { 1791 PetscScalar *coefs = NULL; 1792 PetscReal vj[LANDAU_MAX_NQ * LANDAU_DIM], detJj[LANDAU_MAX_NQ], Jdummy[LANDAU_MAX_NQ * LANDAU_DIM * LANDAU_DIM], c0 = C_0(ctx->v_0), c02 = PetscSqr(c0); 1793 invJe = invJ_a + outer_ej * Nq * dim * dim; 1794 PetscCall(DMPlexComputeCellGeometryFEM(ctx->plex[grid], ej + cStart, quad, vj, Jdummy, invJe, detJj)); 1795 if (ctx->use_energy_tensor_trick) { PetscCall(DMPlexVecGetClosure(dmEnergy, e_section, v2_2, ej + cStart, NULL, &coefs)); } 1796 /* create static point data */ 1797 for (PetscInt qj = 0; qj < Nq; qj++, outer_ipidx++) { 1798 const PetscInt gidx = outer_ipidx; 1799 const PetscReal *invJ = &invJe[qj * dim * dim]; 1800 ww[gidx] = detJj[qj] * quadWeights[qj]; 1801 if (dim == 2) ww[gidx] *= vj[qj * dim + 0]; /* cylindrical coordinate, w/o 2pi */ 1802 // get xx, yy, zz 1803 if (ctx->use_energy_tensor_trick) { 1804 double refSpaceDer[3], eGradPhi[3]; 1805 const PetscReal *const DD = Tf[0]->T[1]; 1806 const PetscReal *Dq = &DD[qj * Nb * dim]; 1807 for (int d = 0; d < 3; ++d) refSpaceDer[d] = eGradPhi[d] = 0.0; 1808 for (int b = 0; b < Nb; ++b) { 1809 for (int d = 0; d < dim; ++d) refSpaceDer[d] += Dq[b * dim + d] * PetscRealPart(coefs[b]); 1810 } 1811 xx[gidx] = 1e10; 1812 if (ctx->use_relativistic_corrections) { 1813 double dg2_c2 = 0; 1814 //for (int d = 0; d < dim; ++d) refSpaceDer[d] *= c02; 1815 for (int d = 0; d < dim; ++d) dg2_c2 += PetscSqr(refSpaceDer[d]); 1816 dg2_c2 *= (double)c02; 1817 if (dg2_c2 >= .999) { 1818 xx[gidx] = vj[qj * dim + 0]; /* coordinate */ 1819 yy[gidx] = vj[qj * dim + 1]; 1820 if (dim == 3) zz[gidx] = vj[qj * dim + 2]; 1821 PetscCall(PetscPrintf(ctx->comm, "Error: %12.5e %" PetscInt_FMT ".%" PetscInt_FMT ") dg2/c02 = %12.5e x= %12.5e %12.5e %12.5e\n", (double)PetscSqrtReal(xx[gidx] * xx[gidx] + yy[gidx] * yy[gidx] + zz[gidx] * zz[gidx]), ej, qj, dg2_c2, (double)xx[gidx], (double)yy[gidx], (double)zz[gidx])); 1822 } else { 1823 PetscReal fact = c02 / PetscSqrtReal(1. - dg2_c2); 1824 for (int d = 0; d < dim; ++d) refSpaceDer[d] *= fact; 1825 // could test with other point u' that (grad - grad') * U (refSpaceDer, refSpaceDer') == 0 1826 } 1827 } 1828 if (xx[gidx] == 1e10) { 1829 for (int d = 0; d < dim; ++d) { 1830 for (int e = 0; e < dim; ++e) { eGradPhi[d] += invJ[e * dim + d] * refSpaceDer[e]; } 1831 } 1832 xx[gidx] = eGradPhi[0]; 1833 yy[gidx] = eGradPhi[1]; 1834 if (dim == 3) zz[gidx] = eGradPhi[2]; 1835 } 1836 } else { 1837 xx[gidx] = vj[qj * dim + 0]; /* coordinate */ 1838 yy[gidx] = vj[qj * dim + 1]; 1839 if (dim == 3) zz[gidx] = vj[qj * dim + 2]; 1840 } 1841 } /* q */ 1842 if (ctx->use_energy_tensor_trick) { PetscCall(DMPlexVecRestoreClosure(dmEnergy, e_section, v2_2, ej + cStart, NULL, &coefs)); } 1843 } /* ej */ 1844 if (ctx->use_energy_tensor_trick) { 1845 PetscCall(DMRestoreLocalVector(dmEnergy, &v2_2)); 1846 PetscCall(DMDestroy(&dmEnergy)); 1847 } 1848 } /* grid */ 1849 if (ctx->use_energy_tensor_trick) { PetscCall(PetscFEDestroy(&fe)); } 1850 /* cache static data */ 1851 if (ctx->deviceType == LANDAU_CUDA || ctx->deviceType == LANDAU_KOKKOS) { 1852 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_KOKKOS_KERNELS) 1853 PetscReal invMass[LANDAU_MAX_SPECIES], nu_alpha[LANDAU_MAX_SPECIES], nu_beta[LANDAU_MAX_SPECIES]; 1854 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1855 for (PetscInt ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++) { 1856 invMass[ii] = ctx->m_0 / ctx->masses[ii]; 1857 nu_alpha[ii] = PetscSqr(ctx->charges[ii] / ctx->m_0) * ctx->m_0 / ctx->masses[ii]; 1858 nu_beta[ii] = PetscSqr(ctx->charges[ii] / ctx->epsilon0) * ctx->lnLam / (8 * PETSC_PI) * ctx->t_0 * ctx->n_0 / PetscPowReal(ctx->v_0, 3); 1859 } 1860 } 1861 if (ctx->deviceType == LANDAU_CUDA) { 1862 #if defined(PETSC_HAVE_CUDA) 1863 PetscCall(LandauCUDAStaticDataSet(ctx->plex[0], Nq, ctx->batch_sz, ctx->num_grids, numCells, ctx->species_offset, ctx->mat_offset, nu_alpha, nu_beta, invMass, invJ_a, xx, yy, zz, ww, &ctx->SData_d)); 1864 #else 1865 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type cuda not built"); 1866 #endif 1867 } else if (ctx->deviceType == LANDAU_KOKKOS) { 1868 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1869 PetscCall(LandauKokkosStaticDataSet(ctx->plex[0], Nq, ctx->batch_sz, ctx->num_grids, numCells, ctx->species_offset, ctx->mat_offset, nu_alpha, nu_beta, invMass, invJ_a, xx, yy, zz, ww, &ctx->SData_d)); 1870 #else 1871 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type kokkos not built"); 1872 #endif 1873 } 1874 #endif 1875 /* free */ 1876 PetscCall(PetscFree4(ww, xx, yy, invJ_a)); 1877 if (dim == 3) PetscCall(PetscFree(zz)); 1878 } else { /* CPU version, just copy in, only use part */ 1879 ctx->SData_d.w = (void *)ww; 1880 ctx->SData_d.x = (void *)xx; 1881 ctx->SData_d.y = (void *)yy; 1882 ctx->SData_d.z = (void *)zz; 1883 ctx->SData_d.invJ = (void *)invJ_a; 1884 } 1885 PetscCall(PetscLogEventEnd(ctx->events[7], 0, 0, 0, 0)); 1886 } // initialize 1887 PetscFunctionReturn(0); 1888 } 1889 1890 /* < v, u > */ 1891 static void g0_1(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) { 1892 g0[0] = 1.; 1893 } 1894 1895 /* < v, u > */ 1896 static void g0_fake(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) { 1897 static double ttt = 1e-12; 1898 g0[0] = ttt++; 1899 } 1900 1901 /* < v, u > */ 1902 static void g0_r(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) { 1903 g0[0] = 2. * PETSC_PI * x[0]; 1904 } 1905 1906 static PetscErrorCode MatrixNfDestroy(void *ptr) { 1907 PetscInt *nf = (PetscInt *)ptr; 1908 PetscFunctionBegin; 1909 PetscCall(PetscFree(nf)); 1910 PetscFunctionReturn(0); 1911 } 1912 1913 /* 1914 LandauCreateJacobianMatrix - creates ctx->J with without real data. Hard to keep sparse. 1915 - Like DMPlexLandauCreateMassMatrix. Should remove one and combine 1916 - has old support for field major ordering 1917 */ 1918 static PetscErrorCode LandauCreateJacobianMatrix(MPI_Comm comm, Vec X, IS grid_batch_is_inv[LANDAU_MAX_GRIDS], LandauCtx *ctx) { 1919 PetscInt *idxs = NULL; 1920 Mat subM[LANDAU_MAX_GRIDS]; 1921 1922 PetscFunctionBegin; 1923 if (!ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 1924 PetscFunctionReturn(0); 1925 } 1926 // get the RCM for this grid to separate out species into blocks -- create 'idxs' & 'ctx->batch_is' 1927 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { PetscCall(PetscMalloc1(ctx->mat_offset[ctx->num_grids] * ctx->batch_sz, &idxs)); } 1928 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1929 const PetscInt *values, n = ctx->mat_offset[grid + 1] - ctx->mat_offset[grid]; 1930 Mat gMat; 1931 DM massDM; 1932 PetscDS prob; 1933 Vec tvec; 1934 // get "mass" matrix for reordering 1935 PetscCall(DMClone(ctx->plex[grid], &massDM)); 1936 PetscCall(DMCopyFields(ctx->plex[grid], massDM)); 1937 PetscCall(DMCreateDS(massDM)); 1938 PetscCall(DMGetDS(massDM, &prob)); 1939 for (int ix = 0, ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++, ix++) { PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_fake, NULL, NULL, NULL)); } 1940 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); // this trick is need to both sparsify the matrix and avoid runtime error 1941 PetscCall(DMCreateMatrix(massDM, &gMat)); 1942 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 1943 PetscCall(MatSetOption(gMat, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 1944 PetscCall(MatSetOption(gMat, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 1945 PetscCall(DMCreateLocalVector(ctx->plex[grid], &tvec)); 1946 PetscCall(DMPlexSNESComputeJacobianFEM(massDM, tvec, gMat, gMat, ctx)); 1947 PetscCall(MatViewFromOptions(gMat, NULL, "-dm_landau_reorder_mat_view")); 1948 PetscCall(DMDestroy(&massDM)); 1949 PetscCall(VecDestroy(&tvec)); 1950 subM[grid] = gMat; 1951 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 1952 MatOrderingType rtype = MATORDERINGRCM; 1953 IS isrow, isicol; 1954 PetscCall(MatGetOrdering(gMat, rtype, &isrow, &isicol)); 1955 PetscCall(ISInvertPermutation(isrow, PETSC_DECIDE, &grid_batch_is_inv[grid])); 1956 PetscCall(ISGetIndices(isrow, &values)); 1957 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 1958 #if !defined(LANDAU_SPECIES_MAJOR) 1959 PetscInt N = ctx->mat_offset[ctx->num_grids], n0 = ctx->mat_offset[grid] + b_id * N; 1960 for (int ii = 0; ii < n; ++ii) idxs[n0 + ii] = values[ii] + n0; 1961 #else 1962 PetscInt n0 = ctx->mat_offset[grid] * ctx->batch_sz + b_id * n; 1963 for (int ii = 0; ii < n; ++ii) idxs[n0 + ii] = values[ii] + n0; 1964 #endif 1965 } 1966 PetscCall(ISRestoreIndices(isrow, &values)); 1967 PetscCall(ISDestroy(&isrow)); 1968 PetscCall(ISDestroy(&isicol)); 1969 } 1970 } 1971 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { PetscCall(ISCreateGeneral(comm, ctx->mat_offset[ctx->num_grids] * ctx->batch_sz, idxs, PETSC_OWN_POINTER, &ctx->batch_is)); } 1972 // get a block matrix 1973 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1974 Mat B = subM[grid]; 1975 PetscInt nloc, nzl, *colbuf, row, COL_BF_SIZE = 1024; 1976 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 1977 PetscCall(MatGetSize(B, &nloc, NULL)); 1978 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 1979 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 1980 const PetscInt *cols; 1981 const PetscScalar *vals; 1982 for (int i = 0; i < nloc; i++) { 1983 PetscCall(MatGetRow(B, i, &nzl, NULL, NULL)); 1984 if (nzl > COL_BF_SIZE) { 1985 PetscCall(PetscFree(colbuf)); 1986 PetscCall(PetscInfo(ctx->plex[grid], "Realloc buffer %" PetscInt_FMT " to %" PetscInt_FMT " (row size %" PetscInt_FMT ") \n", COL_BF_SIZE, 2 * COL_BF_SIZE, nzl)); 1987 COL_BF_SIZE = nzl; 1988 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 1989 } 1990 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 1991 for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset; 1992 row = i + moffset; 1993 PetscCall(MatSetValues(ctx->J, 1, &row, nzl, colbuf, vals, INSERT_VALUES)); 1994 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 1995 } 1996 } 1997 PetscCall(PetscFree(colbuf)); 1998 } 1999 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { PetscCall(MatDestroy(&subM[grid])); } 2000 PetscCall(MatAssemblyBegin(ctx->J, MAT_FINAL_ASSEMBLY)); 2001 PetscCall(MatAssemblyEnd(ctx->J, MAT_FINAL_ASSEMBLY)); 2002 2003 // debug 2004 PetscCall(MatViewFromOptions(ctx->J, NULL, "-dm_landau_mat_view")); 2005 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 2006 Mat mat_block_order; 2007 PetscCall(MatCreateSubMatrix(ctx->J, ctx->batch_is, ctx->batch_is, MAT_INITIAL_MATRIX, &mat_block_order)); // use MatPermute 2008 PetscCall(MatViewFromOptions(mat_block_order, NULL, "-dm_landau_mat_view")); 2009 PetscCall(MatDestroy(&mat_block_order)); 2010 PetscCall(VecScatterCreate(X, ctx->batch_is, X, NULL, &ctx->plex_batch)); 2011 PetscCall(VecDuplicate(X, &ctx->work_vec)); 2012 } 2013 2014 PetscFunctionReturn(0); 2015 } 2016 2017 PetscErrorCode DMPlexLandauCreateMassMatrix(DM pack, Mat *Amat); 2018 /*@C 2019 DMPlexLandauCreateVelocitySpace - Create a DMPlex velocity space mesh 2020 2021 Collective on comm 2022 2023 Input Parameters: 2024 + comm - The MPI communicator 2025 . dim - velocity space dimension (2 for axisymmetric, 3 for full 3X + 3V solver) 2026 - prefix - prefix for options (not tested) 2027 2028 Output Parameter: 2029 . pack - The DM object representing the mesh 2030 + X - A vector (user destroys) 2031 - J - Optional matrix (object destroys) 2032 2033 Level: beginner 2034 2035 .keywords: mesh 2036 .seealso: `DMPlexCreate()`, `DMPlexLandauDestroyVelocitySpace()` 2037 @*/ 2038 PetscErrorCode DMPlexLandauCreateVelocitySpace(MPI_Comm comm, PetscInt dim, const char prefix[], Vec *X, Mat *J, DM *pack) { 2039 LandauCtx *ctx; 2040 Vec Xsub[LANDAU_MAX_GRIDS]; 2041 IS grid_batch_is_inv[LANDAU_MAX_GRIDS]; 2042 2043 PetscFunctionBegin; 2044 PetscCheck(dim == 2 || dim == 3, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Only 2D and 3D supported"); 2045 PetscCheck(LANDAU_DIM == dim, PETSC_COMM_SELF, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " != LANDAU_DIM %d", dim, LANDAU_DIM); 2046 PetscCall(PetscNew(&ctx)); 2047 ctx->comm = comm; /* used for diagnostics and global errors */ 2048 /* process options */ 2049 PetscCall(ProcessOptions(ctx, prefix)); 2050 if (dim == 2) ctx->use_relativistic_corrections = PETSC_FALSE; 2051 /* Create Mesh */ 2052 PetscCall(DMCompositeCreate(PETSC_COMM_SELF, pack)); 2053 PetscCall(PetscLogEventBegin(ctx->events[13], 0, 0, 0, 0)); 2054 PetscCall(PetscLogEventBegin(ctx->events[15], 0, 0, 0, 0)); 2055 PetscCall(LandauDMCreateVMeshes(PETSC_COMM_SELF, dim, prefix, ctx, *pack)); // creates grids (Forest of AMR) 2056 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2057 /* create FEM */ 2058 PetscCall(SetupDS(ctx->plex[grid], dim, grid, ctx)); 2059 /* set initial state */ 2060 PetscCall(DMCreateGlobalVector(ctx->plex[grid], &Xsub[grid])); 2061 PetscCall(PetscObjectSetName((PetscObject)Xsub[grid], "u_orig")); 2062 /* initial static refinement, no solve */ 2063 PetscCall(LandauSetInitialCondition(ctx->plex[grid], Xsub[grid], grid, 0, 1, ctx)); 2064 /* forest refinement - forest goes in (if forest), plex comes out */ 2065 if (ctx->use_p4est) { 2066 DM plex; 2067 PetscCall(adapt(grid, ctx, &Xsub[grid])); // forest goes in, plex comes out 2068 PetscCall(DMViewFromOptions(ctx->plex[grid], NULL, "-dm_landau_amr_dm_view")); // need to differentiate - todo 2069 PetscCall(VecViewFromOptions(Xsub[grid], NULL, "-dm_landau_amr_vec_view")); 2070 // convert to plex, all done with this level 2071 PetscCall(DMConvert(ctx->plex[grid], DMPLEX, &plex)); 2072 PetscCall(DMDestroy(&ctx->plex[grid])); 2073 ctx->plex[grid] = plex; 2074 } 2075 #if !defined(LANDAU_SPECIES_MAJOR) 2076 PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); 2077 #else 2078 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 2079 PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); 2080 } 2081 #endif 2082 PetscCall(DMSetApplicationContext(ctx->plex[grid], ctx)); 2083 } 2084 #if !defined(LANDAU_SPECIES_MAJOR) 2085 // stack the batched DMs, could do it all here!!! b_id=0 2086 for (PetscInt b_id = 1; b_id < ctx->batch_sz; b_id++) { 2087 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); } 2088 } 2089 #endif 2090 // create ctx->mat_offset 2091 ctx->mat_offset[0] = 0; 2092 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2093 PetscInt n; 2094 PetscCall(VecGetLocalSize(Xsub[grid], &n)); 2095 ctx->mat_offset[grid + 1] = ctx->mat_offset[grid] + n; 2096 } 2097 // creat DM & Jac 2098 PetscCall(DMSetApplicationContext(*pack, ctx)); 2099 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); 2100 PetscCall(DMCreateMatrix(*pack, &ctx->J)); 2101 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 2102 PetscCall(MatSetOption(ctx->J, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 2103 PetscCall(MatSetOption(ctx->J, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 2104 PetscCall(PetscObjectSetName((PetscObject)ctx->J, "Jac")); 2105 // construct initial conditions in X 2106 PetscCall(DMCreateGlobalVector(*pack, X)); 2107 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2108 PetscInt n; 2109 PetscCall(VecGetLocalSize(Xsub[grid], &n)); 2110 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2111 PetscScalar const *values; 2112 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2113 PetscCall(LandauSetInitialCondition(ctx->plex[grid], Xsub[grid], grid, b_id, ctx->batch_sz, ctx)); 2114 PetscCall(VecGetArrayRead(Xsub[grid], &values)); 2115 for (int i = 0, idx = moffset; i < n; i++, idx++) { PetscCall(VecSetValue(*X, idx, values[i], INSERT_VALUES)); } 2116 PetscCall(VecRestoreArrayRead(Xsub[grid], &values)); 2117 } 2118 } 2119 // cleanup 2120 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { PetscCall(VecDestroy(&Xsub[grid])); } 2121 /* check for correct matrix type */ 2122 if (ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 2123 PetscBool flg; 2124 if (ctx->deviceType == LANDAU_CUDA) { 2125 PetscCall(PetscObjectTypeCompareAny((PetscObject)ctx->J, &flg, MATSEQAIJCUSPARSE, MATMPIAIJCUSPARSE, MATAIJCUSPARSE, "")); 2126 PetscCheck(flg, ctx->comm, PETSC_ERR_ARG_WRONG, "must use '-dm_mat_type aijcusparse -dm_vec_type cuda' for GPU assembly and Cuda or use '-dm_landau_device_type cpu'"); 2127 } else if (ctx->deviceType == LANDAU_KOKKOS) { 2128 PetscCall(PetscObjectTypeCompareAny((PetscObject)ctx->J, &flg, MATSEQAIJKOKKOS, MATMPIAIJKOKKOS, MATAIJKOKKOS, "")); 2129 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 2130 PetscCheck(flg, ctx->comm, PETSC_ERR_ARG_WRONG, "must use '-dm_mat_type aijkokkos -dm_vec_type kokkos' for GPU assembly and Kokkos or use '-dm_landau_device_type cpu'"); 2131 #else 2132 PetscCheck(flg, ctx->comm, PETSC_ERR_ARG_WRONG, "must configure with '--download-kokkos-kernels' for GPU assembly and Kokkos or use '-dm_landau_device_type cpu'"); 2133 #endif 2134 } 2135 } 2136 PetscCall(PetscLogEventEnd(ctx->events[15], 0, 0, 0, 0)); 2137 // create field major ordering 2138 2139 ctx->work_vec = NULL; 2140 ctx->plex_batch = NULL; 2141 ctx->batch_is = NULL; 2142 for (int i = 0; i < LANDAU_MAX_GRIDS; i++) grid_batch_is_inv[i] = NULL; 2143 PetscCall(PetscLogEventBegin(ctx->events[12], 0, 0, 0, 0)); 2144 PetscCall(LandauCreateJacobianMatrix(comm, *X, grid_batch_is_inv, ctx)); 2145 PetscCall(PetscLogEventEnd(ctx->events[12], 0, 0, 0, 0)); 2146 2147 // create AMR GPU assembly maps and static GPU data 2148 PetscCall(CreateStaticGPUData(dim, grid_batch_is_inv, ctx)); 2149 2150 PetscCall(PetscLogEventEnd(ctx->events[13], 0, 0, 0, 0)); 2151 2152 // create mass matrix 2153 PetscCall(DMPlexLandauCreateMassMatrix(*pack, NULL)); 2154 2155 if (J) *J = ctx->J; 2156 2157 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 2158 PetscContainer container; 2159 // cache ctx for KSP with batch/field major Jacobian ordering -ksp_type gmres/etc -dm_landau_jacobian_field_major_order 2160 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2161 PetscCall(PetscContainerSetPointer(container, (void *)ctx)); 2162 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "LandauCtx", (PetscObject)container)); 2163 PetscCall(PetscContainerDestroy(&container)); 2164 // batch solvers need to map -- can batch solvers work 2165 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2166 PetscCall(PetscContainerSetPointer(container, (void *)ctx->plex_batch)); 2167 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "plex_batch_is", (PetscObject)container)); 2168 PetscCall(PetscContainerDestroy(&container)); 2169 } 2170 // for batch solvers 2171 { 2172 PetscContainer container; 2173 PetscInt *pNf; 2174 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2175 PetscCall(PetscMalloc1(sizeof(*pNf), &pNf)); 2176 *pNf = ctx->batch_sz; 2177 PetscCall(PetscContainerSetPointer(container, (void *)pNf)); 2178 PetscCall(PetscContainerSetUserDestroy(container, MatrixNfDestroy)); 2179 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "batch size", (PetscObject)container)); 2180 PetscCall(PetscContainerDestroy(&container)); 2181 } 2182 2183 PetscFunctionReturn(0); 2184 } 2185 2186 /*@ 2187 DMPlexLandauAddToFunction - Add to the distribution function with user callback 2188 2189 Collective on dm 2190 2191 Input Parameters: 2192 . pack - the DMComposite 2193 + func - call back function 2194 . user_ctx - user context 2195 2196 Input/Output Parameters: 2197 + X - Vector to data to 2198 2199 Level: advanced 2200 2201 .keywords: mesh 2202 .seealso: `DMPlexLandauCreateVelocitySpace()` 2203 @*/ 2204 PetscErrorCode DMPlexLandauAddToFunction(DM pack, Vec X, PetscErrorCode (*func)(DM, Vec, PetscInt, PetscInt, PetscInt, void *), void *user_ctx) { 2205 LandauCtx *ctx; 2206 PetscFunctionBegin; 2207 PetscCall(DMGetApplicationContext(pack, &ctx)); // uses ctx->num_grids; ctx->plex[grid]; ctx->batch_sz; ctx->mat_offset 2208 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2209 PetscInt dim, n, Nf = ctx->species_offset[grid + 1] - ctx->species_offset[grid]; 2210 Vec vec; 2211 DM dm; 2212 PetscFE fe; 2213 PetscCall(DMGetDimension(pack, &dim)); 2214 PetscCall(DMClone(ctx->plex[grid], &dm)); 2215 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, PETSC_FALSE, NULL, PETSC_DECIDE, &fe)); 2216 PetscCall(PetscObjectSetName((PetscObject)fe, "species")); 2217 PetscCall(DMSetField(dm, 0, NULL, (PetscObject)fe)); 2218 PetscCall(PetscFEDestroy(&fe)); 2219 PetscCall(DMSetApplicationContext(dm, ctx)); // does the user want this? 2220 PetscCall(DMCreateGlobalVector(dm, &vec)); 2221 PetscCall(VecGetSize(vec, &n)); 2222 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2223 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2224 for (PetscInt sp = ctx->species_offset[grid], i0 = 0; sp < ctx->species_offset[grid + 1]; sp++, i0++) { 2225 PetscCall(VecZeroEntries(vec)); 2226 /* Add your data with 'dm' for species 'sp' to 'vec' */ 2227 PetscCall(func(dm, vec, i0, grid, b_id, user_ctx)); 2228 /* add to global */ 2229 PetscScalar const *values; 2230 PetscCall(VecGetArrayRead(vec, &values)); 2231 for (int i = 0, idx = moffset + i0; i < n; i++, idx += Nf) { // works for Q1 & Q2 only -- TODO 2232 PetscCall(VecSetValue(X, idx, values[i], ADD_VALUES)); 2233 } 2234 PetscCall(VecRestoreArrayRead(vec, &values)); 2235 } 2236 } // batch 2237 PetscCall(VecDestroy(&vec)); 2238 PetscCall(DMDestroy(&dm)); 2239 } // grid 2240 PetscFunctionReturn(0); 2241 } 2242 2243 /*@ 2244 DMPlexLandauDestroyVelocitySpace - Destroy a DMPlex velocity space mesh 2245 2246 Collective on dm 2247 2248 Input/Output Parameters: 2249 . dm - the dm to destroy 2250 2251 Level: beginner 2252 2253 .keywords: mesh 2254 .seealso: `DMPlexLandauCreateVelocitySpace()` 2255 @*/ 2256 PetscErrorCode DMPlexLandauDestroyVelocitySpace(DM *dm) { 2257 LandauCtx *ctx; 2258 PetscFunctionBegin; 2259 PetscCall(DMGetApplicationContext(*dm, &ctx)); 2260 PetscCall(MatDestroy(&ctx->M)); 2261 PetscCall(MatDestroy(&ctx->J)); 2262 for (PetscInt ii = 0; ii < ctx->num_species; ii++) PetscCall(PetscFEDestroy(&ctx->fe[ii])); 2263 PetscCall(ISDestroy(&ctx->batch_is)); 2264 PetscCall(VecDestroy(&ctx->work_vec)); 2265 PetscCall(VecScatterDestroy(&ctx->plex_batch)); 2266 if (ctx->deviceType == LANDAU_CUDA) { 2267 #if defined(PETSC_HAVE_CUDA) 2268 PetscCall(LandauCUDAStaticDataClear(&ctx->SData_d)); 2269 #else 2270 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "cuda"); 2271 #endif 2272 } else if (ctx->deviceType == LANDAU_KOKKOS) { 2273 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 2274 PetscCall(LandauKokkosStaticDataClear(&ctx->SData_d)); 2275 #else 2276 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "kokkos"); 2277 #endif 2278 } else { 2279 if (ctx->SData_d.x) { /* in a CPU run */ 2280 PetscReal *invJ = (PetscReal *)ctx->SData_d.invJ, *xx = (PetscReal *)ctx->SData_d.x, *yy = (PetscReal *)ctx->SData_d.y, *zz = (PetscReal *)ctx->SData_d.z, *ww = (PetscReal *)ctx->SData_d.w; 2281 LandauIdx *coo_elem_offsets = (LandauIdx *)ctx->SData_d.coo_elem_offsets, *coo_elem_fullNb = (LandauIdx *)ctx->SData_d.coo_elem_fullNb, (*coo_elem_point_offsets)[LANDAU_MAX_NQ + 1] = (LandauIdx(*)[LANDAU_MAX_NQ + 1]) ctx->SData_d.coo_elem_point_offsets; 2282 PetscCall(PetscFree4(ww, xx, yy, invJ)); 2283 if (zz) PetscCall(PetscFree(zz)); 2284 if (coo_elem_offsets) { 2285 PetscCall(PetscFree3(coo_elem_offsets, coo_elem_fullNb, coo_elem_point_offsets)); // could be NULL 2286 } 2287 } 2288 } 2289 2290 if (ctx->times[LANDAU_MATRIX_TOTAL] > 0) { // OMP timings 2291 PetscCall(PetscPrintf(ctx->comm, "TSStep N 1.0 %10.3e\n", ctx->times[LANDAU_EX2_TSSOLVE])); 2292 PetscCall(PetscPrintf(ctx->comm, "2: Solve: %10.3e with %" PetscInt_FMT " threads\n", ctx->times[LANDAU_EX2_TSSOLVE] - ctx->times[LANDAU_MATRIX_TOTAL], ctx->batch_sz)); 2293 PetscCall(PetscPrintf(ctx->comm, "3: Landau: %10.3e\n", ctx->times[LANDAU_MATRIX_TOTAL])); 2294 PetscCall(PetscPrintf(ctx->comm, "Landau Jacobian %" PetscInt_FMT " 1.0 %10.3e\n", (PetscInt)ctx->times[LANDAU_JACOBIAN_COUNT], ctx->times[LANDAU_JACOBIAN])); 2295 PetscCall(PetscPrintf(ctx->comm, "Landau Operator N 1.0 %10.3e\n", ctx->times[LANDAU_OPERATOR])); 2296 PetscCall(PetscPrintf(ctx->comm, "Landau Mass N 1.0 %10.3e\n", ctx->times[LANDAU_MASS])); 2297 PetscCall(PetscPrintf(ctx->comm, " Jac-f-df (GPU) N 1.0 %10.3e\n", ctx->times[LANDAU_F_DF])); 2298 PetscCall(PetscPrintf(ctx->comm, " Kernel (GPU) N 1.0 %10.3e\n", ctx->times[LANDAU_KERNEL])); 2299 PetscCall(PetscPrintf(ctx->comm, "MatLUFactorNum X 1.0 %10.3e\n", ctx->times[KSP_FACTOR])); 2300 PetscCall(PetscPrintf(ctx->comm, "MatSolve X 1.0 %10.3e\n", ctx->times[KSP_SOLVE])); 2301 } 2302 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { PetscCall(DMDestroy(&ctx->plex[grid])); } 2303 PetscFree(ctx); 2304 PetscCall(DMDestroy(dm)); 2305 PetscFunctionReturn(0); 2306 } 2307 2308 /* < v, ru > */ 2309 static void f0_s_den(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *f0) { 2310 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2311 f0[0] = u[ii]; 2312 } 2313 2314 /* < v, ru > */ 2315 static void f0_s_mom(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *f0) { 2316 PetscInt ii = (PetscInt)PetscRealPart(constants[0]), jj = (PetscInt)PetscRealPart(constants[1]); 2317 f0[0] = x[jj] * u[ii]; /* x momentum */ 2318 } 2319 2320 static void f0_s_v2(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *f0) { 2321 PetscInt i, ii = (PetscInt)PetscRealPart(constants[0]); 2322 double tmp1 = 0.; 2323 for (i = 0; i < dim; ++i) tmp1 += x[i] * x[i]; 2324 f0[0] = tmp1 * u[ii]; 2325 } 2326 2327 static PetscErrorCode gamma_n_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, void *actx) { 2328 const PetscReal *c2_0_arr = ((PetscReal *)actx); 2329 const PetscReal c02 = c2_0_arr[0]; 2330 2331 PetscFunctionBegin; 2332 for (int s = 0; s < Nf; s++) { 2333 PetscReal tmp1 = 0.; 2334 for (int i = 0; i < dim; ++i) tmp1 += x[i] * x[i]; 2335 #if defined(PETSC_USE_DEBUG) 2336 u[s] = PetscSqrtReal(1. + tmp1 / c02); // u[0] = PetscSqrtReal(1. + xx); 2337 #else 2338 { 2339 PetscReal xx = tmp1 / c02; 2340 u[s] = xx / (PetscSqrtReal(1. + xx) + 1.); // better conditioned = xx/(PetscSqrtReal(1. + xx) + 1.) 2341 } 2342 #endif 2343 } 2344 PetscFunctionReturn(0); 2345 } 2346 2347 /* < v, ru > */ 2348 static void f0_s_rden(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *f0) { 2349 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2350 f0[0] = 2. * PETSC_PI * x[0] * u[ii]; 2351 } 2352 2353 /* < v, ru > */ 2354 static void f0_s_rmom(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *f0) { 2355 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2356 f0[0] = 2. * PETSC_PI * x[0] * x[1] * u[ii]; 2357 } 2358 2359 static void f0_s_rv2(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *f0) { 2360 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2361 f0[0] = 2. * PETSC_PI * x[0] * (x[0] * x[0] + x[1] * x[1]) * u[ii]; 2362 } 2363 2364 /*@ 2365 DMPlexLandauPrintNorms - collects moments and prints them 2366 2367 Collective on dm 2368 2369 Input Parameters: 2370 + X - the state 2371 - stepi - current step to print 2372 2373 Level: beginner 2374 2375 .keywords: mesh 2376 .seealso: `DMPlexLandauCreateVelocitySpace()` 2377 @*/ 2378 PetscErrorCode DMPlexLandauPrintNorms(Vec X, PetscInt stepi) { 2379 LandauCtx *ctx; 2380 PetscDS prob; 2381 DM pack; 2382 PetscInt cStart, cEnd, dim, ii, i0, nDMs; 2383 PetscScalar xmomentumtot = 0, ymomentumtot = 0, zmomentumtot = 0, energytot = 0, densitytot = 0, tt[LANDAU_MAX_SPECIES]; 2384 PetscScalar xmomentum[LANDAU_MAX_SPECIES], ymomentum[LANDAU_MAX_SPECIES], zmomentum[LANDAU_MAX_SPECIES], energy[LANDAU_MAX_SPECIES], density[LANDAU_MAX_SPECIES]; 2385 Vec *globXArray; 2386 2387 PetscFunctionBegin; 2388 PetscCall(VecGetDM(X, &pack)); 2389 PetscCheck(pack, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Vector has no DM"); 2390 PetscCall(DMGetDimension(pack, &dim)); 2391 PetscCheck(dim == 2 || dim == 3, PETSC_COMM_SELF, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " not in [2,3]", dim); 2392 PetscCall(DMGetApplicationContext(pack, &ctx)); 2393 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2394 /* print momentum and energy */ 2395 PetscCall(DMCompositeGetNumberDM(pack, &nDMs)); 2396 PetscCheck(nDMs == ctx->num_grids * ctx->batch_sz, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "#DM wrong %" PetscInt_FMT " %" PetscInt_FMT, nDMs, ctx->num_grids * ctx->batch_sz); 2397 PetscCall(PetscMalloc(sizeof(*globXArray) * nDMs, &globXArray)); 2398 PetscCall(DMCompositeGetAccessArray(pack, X, nDMs, NULL, globXArray)); 2399 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2400 Vec Xloc = globXArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)]; 2401 PetscCall(DMGetDS(ctx->plex[grid], &prob)); 2402 for (ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 2403 PetscScalar user[2] = {(PetscScalar)i0, (PetscScalar)ctx->charges[ii]}; 2404 PetscCall(PetscDSSetConstants(prob, 2, user)); 2405 if (dim == 2) { /* 2/3X + 3V (cylindrical coordinates) */ 2406 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rden)); 2407 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2408 density[ii] = tt[0] * ctx->n_0 * ctx->charges[ii]; 2409 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rmom)); 2410 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2411 zmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2412 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rv2)); 2413 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2414 energy[ii] = tt[0] * 0.5 * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ii]; 2415 zmomentumtot += zmomentum[ii]; 2416 energytot += energy[ii]; 2417 densitytot += density[ii]; 2418 PetscCall(PetscPrintf(ctx->comm, "%3" PetscInt_FMT ") species-%" PetscInt_FMT ": charge density= %20.13e z-momentum= %20.13e energy= %20.13e", stepi, ii, (double)PetscRealPart(density[ii]), (double)PetscRealPart(zmomentum[ii]), (double)PetscRealPart(energy[ii]))); 2419 } else { /* 2/3Xloc + 3V */ 2420 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_den)); 2421 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2422 density[ii] = tt[0] * ctx->n_0 * ctx->charges[ii]; 2423 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_mom)); 2424 user[1] = 0; 2425 PetscCall(PetscDSSetConstants(prob, 2, user)); 2426 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2427 xmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2428 user[1] = 1; 2429 PetscCall(PetscDSSetConstants(prob, 2, user)); 2430 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2431 ymomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2432 user[1] = 2; 2433 PetscCall(PetscDSSetConstants(prob, 2, user)); 2434 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2435 zmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2436 if (ctx->use_relativistic_corrections) { 2437 /* gamma * M * f */ 2438 if (ii == 0 && grid == 0) { // do all at once 2439 Vec Mf, globGamma, *globMfArray, *globGammaArray; 2440 PetscErrorCode (*gammaf[1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *) = {gamma_n_f}; 2441 PetscReal *c2_0[1], data[1]; 2442 2443 PetscCall(VecDuplicate(X, &globGamma)); 2444 PetscCall(VecDuplicate(X, &Mf)); 2445 PetscCall(PetscMalloc(sizeof(*globMfArray) * nDMs, &globMfArray)); 2446 PetscCall(PetscMalloc(sizeof(*globMfArray) * nDMs, &globGammaArray)); 2447 /* M * f */ 2448 PetscCall(MatMult(ctx->M, X, Mf)); 2449 /* gamma */ 2450 PetscCall(DMCompositeGetAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2451 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { // yes a grid loop in a grid loop to print nice, need to fix for batching 2452 Vec v1 = globGammaArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)]; 2453 data[0] = PetscSqr(C_0(ctx->v_0)); 2454 c2_0[0] = &data[0]; 2455 PetscCall(DMProjectFunction(ctx->plex[grid], 0., gammaf, (void **)c2_0, INSERT_ALL_VALUES, v1)); 2456 } 2457 PetscCall(DMCompositeRestoreAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2458 /* gamma * Mf */ 2459 PetscCall(DMCompositeGetAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2460 PetscCall(DMCompositeGetAccessArray(pack, Mf, nDMs, NULL, globMfArray)); 2461 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { // yes a grid loop in a grid loop to print nice 2462 PetscInt Nf = ctx->species_offset[grid + 1] - ctx->species_offset[grid], N, bs; 2463 Vec Mfsub = globMfArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)], Gsub = globGammaArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)], v1, v2; 2464 // get each component 2465 PetscCall(VecGetSize(Mfsub, &N)); 2466 PetscCall(VecCreate(ctx->comm, &v1)); 2467 PetscCall(VecSetSizes(v1, PETSC_DECIDE, N / Nf)); 2468 PetscCall(VecCreate(ctx->comm, &v2)); 2469 PetscCall(VecSetSizes(v2, PETSC_DECIDE, N / Nf)); 2470 PetscCall(VecSetFromOptions(v1)); // ??? 2471 PetscCall(VecSetFromOptions(v2)); 2472 // get each component 2473 PetscCall(VecGetBlockSize(Gsub, &bs)); 2474 PetscCheck(bs == Nf, PETSC_COMM_SELF, PETSC_ERR_PLIB, "bs %" PetscInt_FMT " != num_species %" PetscInt_FMT " in Gsub", bs, Nf); 2475 PetscCall(VecGetBlockSize(Mfsub, &bs)); 2476 PetscCheck(bs == Nf, PETSC_COMM_SELF, PETSC_ERR_PLIB, "bs %" PetscInt_FMT " != num_species %" PetscInt_FMT, bs, Nf); 2477 for (int i = 0, ix = ctx->species_offset[grid]; i < Nf; i++, ix++) { 2478 PetscScalar val; 2479 PetscCall(VecStrideGather(Gsub, i, v1, INSERT_VALUES)); // this is not right -- TODO 2480 PetscCall(VecStrideGather(Mfsub, i, v2, INSERT_VALUES)); 2481 PetscCall(VecDot(v1, v2, &val)); 2482 energy[ix] = PetscRealPart(val) * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ix]; 2483 } 2484 PetscCall(VecDestroy(&v1)); 2485 PetscCall(VecDestroy(&v2)); 2486 } /* grids */ 2487 PetscCall(DMCompositeRestoreAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2488 PetscCall(DMCompositeRestoreAccessArray(pack, Mf, nDMs, NULL, globMfArray)); 2489 PetscCall(PetscFree(globGammaArray)); 2490 PetscCall(PetscFree(globMfArray)); 2491 PetscCall(VecDestroy(&globGamma)); 2492 PetscCall(VecDestroy(&Mf)); 2493 } 2494 } else { 2495 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_v2)); 2496 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2497 energy[ii] = 0.5 * tt[0] * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ii]; 2498 } 2499 PetscCall(PetscPrintf(ctx->comm, "%3" PetscInt_FMT ") species %" PetscInt_FMT ": density=%20.13e, x-momentum=%20.13e, y-momentum=%20.13e, z-momentum=%20.13e, energy=%21.13e", stepi, ii, (double)PetscRealPart(density[ii]), (double)PetscRealPart(xmomentum[ii]), (double)PetscRealPart(ymomentum[ii]), (double)PetscRealPart(zmomentum[ii]), (double)PetscRealPart(energy[ii]))); 2500 xmomentumtot += xmomentum[ii]; 2501 ymomentumtot += ymomentum[ii]; 2502 zmomentumtot += zmomentum[ii]; 2503 energytot += energy[ii]; 2504 densitytot += density[ii]; 2505 } 2506 if (ctx->num_species > 1) PetscPrintf(ctx->comm, "\n"); 2507 } 2508 } 2509 PetscCall(DMCompositeRestoreAccessArray(pack, X, nDMs, NULL, globXArray)); 2510 PetscCall(PetscFree(globXArray)); 2511 /* totals */ 2512 PetscCall(DMPlexGetHeightStratum(ctx->plex[0], 0, &cStart, &cEnd)); 2513 if (ctx->num_species > 1) { 2514 if (dim == 2) { 2515 PetscCall(PetscPrintf(ctx->comm, "\t%3" PetscInt_FMT ") Total: charge density=%21.13e, momentum=%21.13e, energy=%21.13e (m_i[0]/m_e = %g, %" PetscInt_FMT " cells on electron grid)", stepi, (double)PetscRealPart(densitytot), (double)PetscRealPart(zmomentumtot), (double)PetscRealPart(energytot), 2516 (double)(ctx->masses[1] / ctx->masses[0]), cEnd - cStart)); 2517 } else { 2518 PetscCall(PetscPrintf(ctx->comm, "\t%3" PetscInt_FMT ") Total: charge density=%21.13e, x-momentum=%21.13e, y-momentum=%21.13e, z-momentum=%21.13e, energy=%21.13e (m_i[0]/m_e = %g, %" PetscInt_FMT " cells)", stepi, (double)PetscRealPart(densitytot), (double)PetscRealPart(xmomentumtot), (double)PetscRealPart(ymomentumtot), (double)PetscRealPart(zmomentumtot), (double)PetscRealPart(energytot), 2519 (double)(ctx->masses[1] / ctx->masses[0]), cEnd - cStart)); 2520 } 2521 } else PetscCall(PetscPrintf(ctx->comm, " -- %" PetscInt_FMT " cells", cEnd - cStart)); 2522 PetscCall(PetscPrintf(ctx->comm, "\n")); 2523 PetscFunctionReturn(0); 2524 } 2525 2526 /*@ 2527 DMPlexLandauCreateMassMatrix - Create mass matrix for Landau in Plex space (not field major order of Jacobian) 2528 - puts mass matrix into ctx->M 2529 2530 Collective on pack 2531 2532 Input/Output Parameters: 2533 . pack - the DM object. Puts matrix in Landau context M field 2534 2535 Output Parameters: 2536 . Amat - The mass matrix (optional), mass matrix is added to the DM context 2537 2538 Level: beginner 2539 2540 .keywords: mesh 2541 .seealso: `DMPlexLandauCreateVelocitySpace()` 2542 @*/ 2543 PetscErrorCode DMPlexLandauCreateMassMatrix(DM pack, Mat *Amat) { 2544 DM mass_pack, massDM[LANDAU_MAX_GRIDS]; 2545 PetscDS prob; 2546 PetscInt ii, dim, N1 = 1, N2; 2547 LandauCtx *ctx; 2548 Mat packM, subM[LANDAU_MAX_GRIDS]; 2549 2550 PetscFunctionBegin; 2551 PetscValidHeaderSpecific(pack, DM_CLASSID, 1); 2552 if (Amat) PetscValidPointer(Amat, 2); 2553 PetscCall(DMGetApplicationContext(pack, &ctx)); 2554 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2555 PetscCall(PetscLogEventBegin(ctx->events[14], 0, 0, 0, 0)); 2556 PetscCall(DMGetDimension(pack, &dim)); 2557 PetscCall(DMCompositeCreate(PetscObjectComm((PetscObject)pack), &mass_pack)); 2558 /* create pack mass matrix */ 2559 for (PetscInt grid = 0, ix = 0; grid < ctx->num_grids; grid++) { 2560 PetscCall(DMClone(ctx->plex[grid], &massDM[grid])); 2561 PetscCall(DMCopyFields(ctx->plex[grid], massDM[grid])); 2562 PetscCall(DMCreateDS(massDM[grid])); 2563 PetscCall(DMGetDS(massDM[grid], &prob)); 2564 for (ix = 0, ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++, ix++) { 2565 if (dim == 3) PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_1, NULL, NULL, NULL)); 2566 else PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_r, NULL, NULL, NULL)); 2567 } 2568 #if !defined(LANDAU_SPECIES_MAJOR) 2569 PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); 2570 #else 2571 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 2572 PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); 2573 } 2574 #endif 2575 PetscCall(DMCreateMatrix(massDM[grid], &subM[grid])); 2576 } 2577 #if !defined(LANDAU_SPECIES_MAJOR) 2578 // stack the batched DMs 2579 for (PetscInt b_id = 1; b_id < ctx->batch_sz; b_id++) { 2580 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); } 2581 } 2582 #endif 2583 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); 2584 PetscCall(DMCreateMatrix(mass_pack, &packM)); 2585 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 2586 PetscCall(MatSetOption(packM, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 2587 PetscCall(MatSetOption(packM, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 2588 PetscCall(DMDestroy(&mass_pack)); 2589 /* make mass matrix for each block */ 2590 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2591 Vec locX; 2592 DM plex = massDM[grid]; 2593 PetscCall(DMGetLocalVector(plex, &locX)); 2594 /* Mass matrix is independent of the input, so no need to fill locX */ 2595 PetscCall(DMPlexSNESComputeJacobianFEM(plex, locX, subM[grid], subM[grid], ctx)); 2596 PetscCall(DMRestoreLocalVector(plex, &locX)); 2597 PetscCall(DMDestroy(&massDM[grid])); 2598 } 2599 PetscCall(MatGetSize(ctx->J, &N1, NULL)); 2600 PetscCall(MatGetSize(packM, &N2, NULL)); 2601 PetscCheck(N1 == N2, PetscObjectComm((PetscObject)pack), PETSC_ERR_PLIB, "Incorrect matrix sizes: |Jacobian| = %" PetscInt_FMT ", |Mass|=%" PetscInt_FMT, N1, N2); 2602 /* assemble block diagonals */ 2603 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2604 Mat B = subM[grid]; 2605 PetscInt nloc, nzl, *colbuf, COL_BF_SIZE = 1024, row; 2606 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 2607 PetscCall(MatGetSize(B, &nloc, NULL)); 2608 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2609 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2610 const PetscInt *cols; 2611 const PetscScalar *vals; 2612 for (int i = 0; i < nloc; i++) { 2613 PetscCall(MatGetRow(B, i, &nzl, NULL, NULL)); 2614 if (nzl > COL_BF_SIZE) { 2615 PetscCall(PetscFree(colbuf)); 2616 PetscCall(PetscInfo(pack, "Realloc buffer %" PetscInt_FMT " to %" PetscInt_FMT " (row size %" PetscInt_FMT ") \n", COL_BF_SIZE, 2 * COL_BF_SIZE, nzl)); 2617 COL_BF_SIZE = nzl; 2618 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 2619 } 2620 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 2621 for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset; 2622 row = i + moffset; 2623 PetscCall(MatSetValues(packM, 1, &row, nzl, colbuf, vals, INSERT_VALUES)); 2624 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 2625 } 2626 } 2627 PetscCall(PetscFree(colbuf)); 2628 } 2629 // cleanup 2630 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { PetscCall(MatDestroy(&subM[grid])); } 2631 PetscCall(MatAssemblyBegin(packM, MAT_FINAL_ASSEMBLY)); 2632 PetscCall(MatAssemblyEnd(packM, MAT_FINAL_ASSEMBLY)); 2633 PetscCall(PetscObjectSetName((PetscObject)packM, "mass")); 2634 PetscCall(MatViewFromOptions(packM, NULL, "-dm_landau_mass_view")); 2635 ctx->M = packM; 2636 if (Amat) *Amat = packM; 2637 PetscCall(PetscLogEventEnd(ctx->events[14], 0, 0, 0, 0)); 2638 PetscFunctionReturn(0); 2639 } 2640 2641 /*@ 2642 DMPlexLandauIFunction - TS residual calculation, confusingly this computes the Jacobian w/o mass 2643 2644 Collective on ts 2645 2646 Input Parameters: 2647 + TS - The time stepping context 2648 . time_dummy - current time (not used) 2649 . X - Current state 2650 . X_t - Time derivative of current state 2651 - actx - Landau context 2652 2653 Output Parameter: 2654 . F - The residual 2655 2656 Level: beginner 2657 2658 .keywords: mesh 2659 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauIJacobian()` 2660 @*/ 2661 PetscErrorCode DMPlexLandauIFunction(TS ts, PetscReal time_dummy, Vec X, Vec X_t, Vec F, void *actx) { 2662 LandauCtx *ctx = (LandauCtx *)actx; 2663 PetscInt dim; 2664 DM pack; 2665 #if defined(PETSC_HAVE_THREADSAFETY) 2666 double starttime, endtime; 2667 #endif 2668 PetscObjectState state; 2669 2670 PetscFunctionBegin; 2671 PetscCall(TSGetDM(ts, &pack)); 2672 PetscCall(DMGetApplicationContext(pack, &ctx)); 2673 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2674 if (ctx->stage) PetscCall(PetscLogStagePush(ctx->stage)); 2675 PetscCall(PetscLogEventBegin(ctx->events[11], 0, 0, 0, 0)); 2676 PetscCall(PetscLogEventBegin(ctx->events[0], 0, 0, 0, 0)); 2677 #if defined(PETSC_HAVE_THREADSAFETY) 2678 starttime = MPI_Wtime(); 2679 #endif 2680 PetscCall(DMGetDimension(pack, &dim)); 2681 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2682 if (state != ctx->norm_state) { 2683 PetscCall(PetscInfo(ts, "Create Landau Jacobian t=%g J.state %" PetscInt64_FMT " --> %" PetscInt64_FMT "\n", (double)time_dummy, ctx->norm_state, state)); 2684 PetscCall(MatZeroEntries(ctx->J)); 2685 PetscCall(LandauFormJacobian_Internal(X, ctx->J, dim, 0.0, (void *)ctx)); 2686 PetscCall(MatViewFromOptions(ctx->J, NULL, "-dm_landau_jacobian_view")); 2687 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2688 ctx->norm_state = state; 2689 } else { 2690 PetscCall(PetscInfo(ts, "WARNING Skip forming Jacobian, has not changed %" PetscInt64_FMT "\n", state)); 2691 } 2692 /* mat vec for op */ 2693 PetscCall(MatMult(ctx->J, X, F)); /* C*f */ 2694 /* add time term */ 2695 if (X_t) PetscCall(MatMultAdd(ctx->M, X_t, F, F)); 2696 #if defined(PETSC_HAVE_THREADSAFETY) 2697 if (ctx->stage) { 2698 endtime = MPI_Wtime(); 2699 ctx->times[LANDAU_OPERATOR] += (endtime - starttime); 2700 ctx->times[LANDAU_JACOBIAN] += (endtime - starttime); 2701 ctx->times[LANDAU_JACOBIAN_COUNT] += 1; 2702 } 2703 #endif 2704 PetscCall(PetscLogEventEnd(ctx->events[0], 0, 0, 0, 0)); 2705 PetscCall(PetscLogEventEnd(ctx->events[11], 0, 0, 0, 0)); 2706 if (ctx->stage) { 2707 PetscCall(PetscLogStagePop()); 2708 #if defined(PETSC_HAVE_THREADSAFETY) 2709 ctx->times[LANDAU_MATRIX_TOTAL] += (endtime - starttime); 2710 #endif 2711 } 2712 PetscFunctionReturn(0); 2713 } 2714 2715 /*@ 2716 DMPlexLandauIJacobian - TS Jacobian construction, confusingly this adds mass 2717 2718 Collective on ts 2719 2720 Input Parameters: 2721 + TS - The time stepping context 2722 . time_dummy - current time (not used) 2723 . X - Current state 2724 . U_tdummy - Time derivative of current state (not used) 2725 . shift - shift for du/dt term 2726 - actx - Landau context 2727 2728 Output Parameters: 2729 + Amat - Jacobian 2730 - Pmat - same as Amat 2731 2732 Level: beginner 2733 2734 .keywords: mesh 2735 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauIFunction()` 2736 @*/ 2737 PetscErrorCode DMPlexLandauIJacobian(TS ts, PetscReal time_dummy, Vec X, Vec U_tdummy, PetscReal shift, Mat Amat, Mat Pmat, void *actx) { 2738 LandauCtx *ctx = NULL; 2739 PetscInt dim; 2740 DM pack; 2741 #if defined(PETSC_HAVE_THREADSAFETY) 2742 double starttime, endtime; 2743 #endif 2744 PetscObjectState state; 2745 2746 PetscFunctionBegin; 2747 PetscCall(TSGetDM(ts, &pack)); 2748 PetscCall(DMGetApplicationContext(pack, &ctx)); 2749 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2750 PetscCheck(Amat == Pmat && Amat == ctx->J, ctx->comm, PETSC_ERR_PLIB, "Amat!=Pmat || Amat!=ctx->J"); 2751 PetscCall(DMGetDimension(pack, &dim)); 2752 /* get collision Jacobian into A */ 2753 if (ctx->stage) PetscCall(PetscLogStagePush(ctx->stage)); 2754 PetscCall(PetscLogEventBegin(ctx->events[11], 0, 0, 0, 0)); 2755 PetscCall(PetscLogEventBegin(ctx->events[9], 0, 0, 0, 0)); 2756 #if defined(PETSC_HAVE_THREADSAFETY) 2757 starttime = MPI_Wtime(); 2758 #endif 2759 PetscCall(PetscInfo(ts, "Adding mass to Jacobian t=%g, shift=%g\n", (double)time_dummy, (double)shift)); 2760 PetscCheck(shift != 0.0, ctx->comm, PETSC_ERR_PLIB, "zero shift"); 2761 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2762 PetscCheck(state == ctx->norm_state, ctx->comm, PETSC_ERR_PLIB, "wrong state, %" PetscInt64_FMT " %" PetscInt64_FMT "", ctx->norm_state, state); 2763 if (!ctx->use_matrix_mass) { 2764 PetscCall(LandauFormJacobian_Internal(X, ctx->J, dim, shift, (void *)ctx)); 2765 } else { /* add mass */ 2766 PetscCall(MatAXPY(Pmat, shift, ctx->M, SAME_NONZERO_PATTERN)); 2767 } 2768 #if defined(PETSC_HAVE_THREADSAFETY) 2769 if (ctx->stage) { 2770 endtime = MPI_Wtime(); 2771 ctx->times[LANDAU_OPERATOR] += (endtime - starttime); 2772 ctx->times[LANDAU_MASS] += (endtime - starttime); 2773 } 2774 #endif 2775 PetscCall(PetscLogEventEnd(ctx->events[9], 0, 0, 0, 0)); 2776 PetscCall(PetscLogEventEnd(ctx->events[11], 0, 0, 0, 0)); 2777 if (ctx->stage) { 2778 PetscCall(PetscLogStagePop()); 2779 #if defined(PETSC_HAVE_THREADSAFETY) 2780 ctx->times[LANDAU_MATRIX_TOTAL] += (endtime - starttime); 2781 #endif 2782 } 2783 PetscFunctionReturn(0); 2784 } 2785