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 { 28 P4estVertexMaps *maps = (P4estVertexMaps *)ptr; 29 PetscFunctionBegin; 30 // free device data 31 if (maps[0].deviceType != LANDAU_CPU) { 32 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 33 if (maps[0].deviceType == LANDAU_KOKKOS) { 34 PetscCall(LandauKokkosDestroyMatMaps(maps, maps[0].numgrids)); // imples Kokkos does 35 } // else could be CUDA 36 #elif defined(PETSC_HAVE_CUDA) 37 if (maps[0].deviceType == LANDAU_CUDA) { 38 PetscCall(LandauCUDADestroyMatMaps(maps, maps[0].numgrids)); 39 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "maps->deviceType %d ?????", maps->deviceType); 40 #endif 41 } 42 // free host data 43 for (PetscInt grid = 0; grid < maps[0].numgrids; grid++) { 44 PetscCall(PetscFree(maps[grid].c_maps)); 45 PetscCall(PetscFree(maps[grid].gIdx)); 46 } 47 PetscCall(PetscFree(maps)); 48 49 PetscFunctionReturn(0); 50 } 51 static PetscErrorCode energy_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) 52 { 53 PetscReal v2 = 0; 54 PetscFunctionBegin; 55 /* compute v^2 / 2 */ 56 for (int i = 0; i < dim; ++i) v2 += x[i] * x[i]; 57 /* evaluate the Maxwellian */ 58 u[0] = v2 / 2; 59 PetscFunctionReturn(0); 60 } 61 62 /* needs double */ 63 static PetscErrorCode gamma_m1_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) 64 { 65 PetscReal *c2_0_arr = ((PetscReal *)actx); 66 double u2 = 0, c02 = (double)*c2_0_arr, xx; 67 68 PetscFunctionBegin; 69 /* compute u^2 / 2 */ 70 for (int i = 0; i < dim; ++i) u2 += x[i] * x[i]; 71 /* gamma - 1 = g_eps, for conditioning and we only take derivatives */ 72 xx = u2 / c02; 73 #if defined(PETSC_USE_DEBUG) 74 u[0] = PetscSqrtReal(1. + xx); 75 #else 76 u[0] = xx / (PetscSqrtReal(1. + xx) + 1.) - 1.; // better conditioned. -1 might help condition and only used for derivative 77 #endif 78 PetscFunctionReturn(0); 79 } 80 81 /* 82 LandauFormJacobian_Internal - Evaluates Jacobian matrix. 83 84 Input Parameters: 85 . globX - input vector 86 . actx - optional user-defined context 87 . dim - dimension 88 89 Output Parameters: 90 . J0acP - Jacobian matrix filled, not created 91 */ 92 static PetscErrorCode LandauFormJacobian_Internal(Vec a_X, Mat JacP, const PetscInt dim, PetscReal shift, void *a_ctx) 93 { 94 LandauCtx *ctx = (LandauCtx *)a_ctx; 95 PetscInt numCells[LANDAU_MAX_GRIDS], Nq, Nb; 96 PetscQuadrature quad; 97 PetscReal Eq_m[LANDAU_MAX_SPECIES]; // could be static data w/o quench (ex2) 98 PetscScalar *cellClosure = NULL; 99 const PetscScalar *xdata = NULL; 100 PetscDS prob; 101 PetscContainer container; 102 P4estVertexMaps *maps; 103 Mat subJ[LANDAU_MAX_GRIDS * LANDAU_MAX_BATCH_SZ]; 104 105 PetscFunctionBegin; 106 PetscValidHeaderSpecific(a_X, VEC_CLASSID, 1); 107 PetscValidHeaderSpecific(JacP, MAT_CLASSID, 2); 108 PetscValidPointer(ctx, 5); 109 /* check for matrix container for GPU assembly. Support CPU assembly for debugging */ 110 PetscCheck(ctx->plex[0] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 111 PetscCall(PetscLogEventBegin(ctx->events[10], 0, 0, 0, 0)); 112 PetscCall(DMGetDS(ctx->plex[0], &prob)); // same DS for all grids 113 PetscCall(PetscObjectQuery((PetscObject)JacP, "assembly_maps", (PetscObject *)&container)); 114 if (container) { 115 PetscCheck(ctx->gpu_assembly, ctx->comm, PETSC_ERR_ARG_WRONG, "maps but no GPU assembly"); 116 PetscCall(PetscContainerGetPointer(container, (void **)&maps)); 117 PetscCheck(maps, ctx->comm, PETSC_ERR_ARG_WRONG, "empty GPU matrix container"); 118 for (PetscInt i = 0; i < ctx->num_grids * ctx->batch_sz; i++) subJ[i] = NULL; 119 } else { 120 PetscCheck(!ctx->gpu_assembly, ctx->comm, PETSC_ERR_ARG_WRONG, "No maps but GPU assembly"); 121 for (PetscInt tid = 0; tid < ctx->batch_sz; tid++) { 122 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMCreateMatrix(ctx->plex[grid], &subJ[LAND_PACK_IDX(tid, grid)])); 123 } 124 maps = NULL; 125 } 126 // 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) 127 PetscCall(PetscFEGetQuadrature(ctx->fe[0], &quad)); 128 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, NULL)); 129 Nb = Nq; 130 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); 131 // get metadata for collecting dynamic data 132 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 133 PetscInt cStart, cEnd; 134 PetscCheck(ctx->plex[grid] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 135 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 136 numCells[grid] = cEnd - cStart; // grids can have different topology 137 } 138 PetscCall(PetscLogEventEnd(ctx->events[10], 0, 0, 0, 0)); 139 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 */ 140 DM pack; 141 PetscCall(VecGetDM(a_X, &pack)); 142 PetscCheck(pack, PETSC_COMM_SELF, PETSC_ERR_PLIB, "pack has no DM"); 143 PetscCall(PetscLogEventBegin(ctx->events[1], 0, 0, 0, 0)); 144 for (PetscInt fieldA = 0; fieldA < ctx->num_species; fieldA++) { 145 Eq_m[fieldA] = ctx->Ez * ctx->t_0 * ctx->charges[fieldA] / (ctx->v_0 * ctx->masses[fieldA]); /* normalize dimensionless */ 146 if (dim == 2) Eq_m[fieldA] *= 2 * PETSC_PI; /* add the 2pi term that is not in Landau */ 147 } 148 if (!ctx->gpu_assembly) { 149 Vec *locXArray, *globXArray; 150 PetscScalar *cellClosure_it; 151 PetscInt cellClosure_sz = 0, nDMs, Nf[LANDAU_MAX_GRIDS]; 152 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 153 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 154 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 155 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 156 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 157 } 158 /* count cellClosure size */ 159 PetscCall(DMCompositeGetNumberDM(pack, &nDMs)); 160 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) cellClosure_sz += Nb * Nf[grid] * numCells[grid]; 161 PetscCall(PetscMalloc1(cellClosure_sz * ctx->batch_sz, &cellClosure)); 162 cellClosure_it = cellClosure; 163 PetscCall(PetscMalloc(sizeof(*locXArray) * nDMs, &locXArray)); 164 PetscCall(PetscMalloc(sizeof(*globXArray) * nDMs, &globXArray)); 165 PetscCall(DMCompositeGetLocalAccessArray(pack, a_X, nDMs, NULL, locXArray)); 166 PetscCall(DMCompositeGetAccessArray(pack, a_X, nDMs, NULL, globXArray)); 167 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // OpenMP (once) 168 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 169 Vec locX = locXArray[LAND_PACK_IDX(b_id, grid)], globX = globXArray[LAND_PACK_IDX(b_id, grid)], locX2; 170 PetscInt cStart, cEnd, ei; 171 PetscCall(VecDuplicate(locX, &locX2)); 172 PetscCall(DMGlobalToLocalBegin(ctx->plex[grid], globX, INSERT_VALUES, locX2)); 173 PetscCall(DMGlobalToLocalEnd(ctx->plex[grid], globX, INSERT_VALUES, locX2)); 174 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 175 for (ei = cStart; ei < cEnd; ++ei) { 176 PetscScalar *coef = NULL; 177 PetscCall(DMPlexVecGetClosure(ctx->plex[grid], section[grid], locX2, ei, NULL, &coef)); 178 PetscCall(PetscMemcpy(cellClosure_it, coef, Nb * Nf[grid] * sizeof(*cellClosure_it))); /* change if LandauIPReal != PetscScalar */ 179 PetscCall(DMPlexVecRestoreClosure(ctx->plex[grid], section[grid], locX2, ei, NULL, &coef)); 180 cellClosure_it += Nb * Nf[grid]; 181 } 182 PetscCall(VecDestroy(&locX2)); 183 } 184 } 185 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), 186 cellClosure_sz * ctx->batch_sz); 187 PetscCall(DMCompositeRestoreLocalAccessArray(pack, a_X, nDMs, NULL, locXArray)); 188 PetscCall(DMCompositeRestoreAccessArray(pack, a_X, nDMs, NULL, globXArray)); 189 PetscCall(PetscFree(locXArray)); 190 PetscCall(PetscFree(globXArray)); 191 xdata = NULL; 192 } else { 193 PetscMemType mtype; 194 if (ctx->jacobian_field_major_order) { // get data in batch ordering 195 PetscCall(VecScatterBegin(ctx->plex_batch, a_X, ctx->work_vec, INSERT_VALUES, SCATTER_FORWARD)); 196 PetscCall(VecScatterEnd(ctx->plex_batch, a_X, ctx->work_vec, INSERT_VALUES, SCATTER_FORWARD)); 197 PetscCall(VecGetArrayReadAndMemType(ctx->work_vec, &xdata, &mtype)); 198 } else { 199 PetscCall(VecGetArrayReadAndMemType(a_X, &xdata, &mtype)); 200 } 201 PetscCheck(mtype == PETSC_MEMTYPE_HOST || ctx->deviceType != LANDAU_CPU, ctx->comm, PETSC_ERR_ARG_WRONG, "CPU run with device data: use -mat_type aij"); 202 cellClosure = NULL; 203 } 204 PetscCall(PetscLogEventEnd(ctx->events[1], 0, 0, 0, 0)); 205 } else xdata = cellClosure = NULL; 206 207 /* do it */ 208 if (ctx->deviceType == LANDAU_CUDA || ctx->deviceType == LANDAU_KOKKOS) { 209 if (ctx->deviceType == LANDAU_CUDA) { 210 #if defined(PETSC_HAVE_CUDA) 211 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)); 212 #else 213 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "cuda"); 214 #endif 215 } else if (ctx->deviceType == LANDAU_KOKKOS) { 216 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 217 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)); 218 #else 219 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "kokkos"); 220 #endif 221 } 222 } else { /* CPU version */ 223 PetscTabulation *Tf; // used for CPU and print info. Same on all grids and all species 224 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]; 225 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; 226 PetscReal Eq_m[LANDAU_MAX_SPECIES], invMass[LANDAU_MAX_SPECIES], nu_alpha[LANDAU_MAX_SPECIES], nu_beta[LANDAU_MAX_SPECIES]; 227 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 228 PetscScalar *coo_vals = NULL; 229 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 230 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 231 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 232 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 233 } 234 /* count IPf size, etc */ 235 PetscCall(PetscDSGetTabulation(prob, &Tf)); // Bf, &Df same for all grids 236 const PetscReal *const BB = Tf[0]->T[0], *const DD = Tf[0]->T[1]; 237 ip_offset[0] = ipf_offset[0] = elem_offset[0] = 0; 238 for (PetscInt grid = 0; grid < num_grids; grid++) { 239 PetscInt nfloc = ctx->species_offset[grid + 1] - ctx->species_offset[grid]; 240 elem_offset[grid + 1] = elem_offset[grid] + numCells[grid]; 241 ip_offset[grid + 1] = ip_offset[grid] + numCells[grid] * Nq; 242 ipf_offset[grid + 1] = ipf_offset[grid] + Nq * nfloc * numCells[grid]; 243 } 244 IPf_sz_glb = ipf_offset[num_grids]; 245 IPf_sz_tot = IPf_sz_glb * ctx->batch_sz; 246 // prep COO 247 if (ctx->coo_assembly) { 248 PetscCall(PetscMalloc1(ctx->SData_d.coo_size, &coo_vals)); // allocate every time? 249 PetscCall(PetscInfo(ctx->plex[0], "COO Allocate %" PetscInt_FMT " values\n", (PetscInt)ctx->SData_d.coo_size)); 250 } 251 if (shift == 0.0) { /* compute dynamic data f and df and init data for Jacobian */ 252 #if defined(PETSC_HAVE_THREADSAFETY) 253 double starttime, endtime; 254 starttime = MPI_Wtime(); 255 #endif 256 PetscCall(PetscLogEventBegin(ctx->events[8], 0, 0, 0, 0)); 257 for (PetscInt fieldA = 0; fieldA < ctx->num_species; fieldA++) { 258 invMass[fieldA] = ctx->m_0 / ctx->masses[fieldA]; 259 Eq_m[fieldA] = ctx->Ez * ctx->t_0 * ctx->charges[fieldA] / (ctx->v_0 * ctx->masses[fieldA]); /* normalize dimensionless */ 260 if (dim == 2) Eq_m[fieldA] *= 2 * PETSC_PI; /* add the 2pi term that is not in Landau */ 261 nu_alpha[fieldA] = PetscSqr(ctx->charges[fieldA] / ctx->m_0) * ctx->m_0 / ctx->masses[fieldA]; 262 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); 263 } 264 PetscCall(PetscMalloc4(IPf_sz_tot, &ff, IPf_sz_tot, &dudx, IPf_sz_tot, &dudy, dim == 3 ? IPf_sz_tot : 0, &dudz)); 265 // F df/dx 266 for (PetscInt tid = 0; tid < ctx->batch_sz * elem_offset[num_grids]; tid++) { // for each element 267 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 268 // find my grid: 269 PetscInt grid = 0; 270 while (b_elem_idx >= elem_offset[grid + 1]) grid++; // yuck search for grid 271 { 272 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]; 273 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]; 274 PetscScalar *coef, coef_buff[LANDAU_MAX_SPECIES * LANDAU_MAX_NQ]; 275 PetscReal *invJe = &invJ_a[(ip_offset[grid] + loc_elem * Nq) * dim * dim]; // ingJ is static data on batch 0 276 PetscInt b, f, q; 277 if (cellClosure) { 278 coef = &cellClosure[b_id * IPf_sz_glb + ipf_offset[grid] + loc_elem * Nb * loc_Nf]; // this is const 279 } else { 280 coef = coef_buff; 281 for (f = 0; f < loc_Nf; ++f) { 282 LandauIdx *const Idxs = &maps[grid].gIdx[loc_elem][f][0]; 283 for (b = 0; b < Nb; ++b) { 284 PetscInt idx = Idxs[b]; 285 if (idx >= 0) { 286 coef[f * Nb + b] = xdata[idx + moffset]; 287 } else { 288 idx = -idx - 1; 289 coef[f * Nb + b] = 0; 290 for (q = 0; q < maps[grid].num_face; q++) { 291 PetscInt id = maps[grid].c_maps[idx][q].gid; 292 PetscScalar scale = maps[grid].c_maps[idx][q].scale; 293 coef[f * Nb + b] += scale * xdata[id + moffset]; 294 } 295 } 296 } 297 } 298 } 299 /* get f and df */ 300 for (PetscInt qi = 0; qi < Nq; qi++) { 301 const PetscReal *invJ = &invJe[qi * dim * dim]; 302 const PetscReal *Bq = &BB[qi * Nb]; 303 const PetscReal *Dq = &DD[qi * Nb * dim]; 304 PetscReal u_x[LANDAU_DIM]; 305 /* get f & df */ 306 for (f = 0; f < loc_Nf; ++f) { 307 const PetscInt idx = b_id * IPf_sz_glb + ipf_offset[grid] + f * loc_nip + loc_elem * Nq + qi; 308 PetscInt b, e; 309 PetscReal refSpaceDer[LANDAU_DIM]; 310 ff[idx] = 0.0; 311 for (int d = 0; d < LANDAU_DIM; ++d) refSpaceDer[d] = 0.0; 312 for (b = 0; b < Nb; ++b) { 313 const PetscInt cidx = b; 314 ff[idx] += Bq[cidx] * PetscRealPart(coef[f * Nb + cidx]); 315 for (int d = 0; d < dim; ++d) refSpaceDer[d] += Dq[cidx * dim + d] * PetscRealPart(coef[f * Nb + cidx]); 316 } 317 for (int d = 0; d < LANDAU_DIM; ++d) { 318 for (e = 0, u_x[d] = 0.0; e < LANDAU_DIM; ++e) u_x[d] += invJ[e * dim + d] * refSpaceDer[e]; 319 } 320 dudx[idx] = u_x[0]; 321 dudy[idx] = u_x[1]; 322 #if LANDAU_DIM == 3 323 dudz[idx] = u_x[2]; 324 #endif 325 } 326 } // q 327 } // grid 328 } // grid*batch 329 PetscCall(PetscLogEventEnd(ctx->events[8], 0, 0, 0, 0)); 330 #if defined(PETSC_HAVE_THREADSAFETY) 331 endtime = MPI_Wtime(); 332 if (ctx->stage) ctx->times[LANDAU_F_DF] += (endtime - starttime); 333 #endif 334 } // Jacobian setup 335 // assemble Jacobian (or mass) 336 for (PetscInt tid = 0; tid < ctx->batch_sz * elem_offset[num_grids]; tid++) { // for each element 337 const PetscInt b_Nelem = elem_offset[num_grids]; 338 const PetscInt glb_elem_idx = tid % b_Nelem, b_id = tid / b_Nelem; 339 PetscInt grid = 0; 340 #if defined(PETSC_HAVE_THREADSAFETY) 341 double starttime, endtime; 342 starttime = MPI_Wtime(); 343 #endif 344 while (glb_elem_idx >= elem_offset[grid + 1]) grid++; 345 { 346 const PetscInt loc_Nf = ctx->species_offset[grid + 1] - ctx->species_offset[grid], loc_elem = glb_elem_idx - elem_offset[grid]; 347 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset), totDim = loc_Nf * Nq, elemMatSize = totDim * totDim; 348 PetscScalar *elemMat; 349 const PetscReal *invJe = &invJ_a[(ip_offset[grid] + loc_elem * Nq) * dim * dim]; 350 PetscCall(PetscMalloc1(elemMatSize, &elemMat)); 351 PetscCall(PetscMemzero(elemMat, elemMatSize * sizeof(*elemMat))); 352 if (shift == 0.0) { // Jacobian 353 PetscCall(PetscLogEventBegin(ctx->events[4], 0, 0, 0, 0)); 354 } else { // mass 355 PetscCall(PetscLogEventBegin(ctx->events[16], 0, 0, 0, 0)); 356 } 357 for (PetscInt qj = 0; qj < Nq; ++qj) { 358 const PetscInt jpidx_glb = ip_offset[grid] + qj + loc_elem * Nq; 359 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 - 1 360 PetscInt d, d2, dp, d3, IPf_idx; 361 if (shift == 0.0) { // Jacobian 362 const PetscReal *const invJj = &invJe[qj * dim * dim]; 363 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]; 364 const PetscReal vj[3] = {xx[jpidx_glb], yy[jpidx_glb], zz ? zz[jpidx_glb] : 0}, wj = ww[jpidx_glb]; 365 // create g2 & g3 366 for (d = 0; d < LANDAU_DIM; d++) { // clear accumulation data D & K 367 gg2_temp[d] = 0; 368 for (d2 = 0; d2 < LANDAU_DIM; d2++) gg3_temp[d][d2] = 0; 369 } 370 /* inner beta reduction */ 371 IPf_idx = 0; 372 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 373 PetscInt nip_loc_r = numCells[grid_r] * Nq, Nfloc_r = Nf[grid_r]; 374 for (PetscInt ei_r = 0, loc_fdf_idx = 0; ei_r < numCells[grid_r]; ++ei_r) { 375 for (PetscInt qi = 0; qi < Nq; qi++, ipidx++, loc_fdf_idx++) { 376 const PetscReal wi = ww[ipidx], x = xx[ipidx], y = yy[ipidx]; 377 PetscReal temp1[3] = {0, 0, 0}, temp2 = 0; 378 #if LANDAU_DIM == 2 379 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.; 380 LandauTensor2D(vj, x, y, Ud, Uk, mask); 381 #else 382 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.; 383 if (ctx->use_relativistic_corrections) { 384 LandauTensor3DRelativistic(vj, x, y, z, U, mask, C_0(ctx->v_0)); 385 } else { 386 LandauTensor3D(vj, x, y, z, U, mask); 387 } 388 #endif 389 for (int f = 0; f < Nfloc_r; ++f) { 390 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; 391 temp1[0] += dudx[idx] * nu_beta[f + f_off] * invMass[f + f_off]; 392 temp1[1] += dudy[idx] * nu_beta[f + f_off] * invMass[f + f_off]; 393 #if LANDAU_DIM == 3 394 temp1[2] += dudz[idx] * nu_beta[f + f_off] * invMass[f + f_off]; 395 #endif 396 temp2 += ff[idx] * nu_beta[f + f_off]; 397 } 398 temp1[0] *= wi; 399 temp1[1] *= wi; 400 #if LANDAU_DIM == 3 401 temp1[2] *= wi; 402 #endif 403 temp2 *= wi; 404 #if LANDAU_DIM == 2 405 for (d2 = 0; d2 < 2; d2++) { 406 for (d3 = 0; d3 < 2; ++d3) { 407 /* K = U * grad(f): g2=e: i,A */ 408 gg2_temp[d2] += Uk[d2][d3] * temp1[d3]; 409 /* D = -U * (I \kron (fx)): g3=f: i,j,A */ 410 gg3_temp[d2][d3] += Ud[d2][d3] * temp2; 411 } 412 } 413 #else 414 for (d2 = 0; d2 < 3; ++d2) { 415 for (d3 = 0; d3 < 3; ++d3) { 416 /* K = U * grad(f): g2 = e: i,A */ 417 gg2_temp[d2] += U[d2][d3] * temp1[d3]; 418 /* D = -U * (I \kron (fx)): g3 = f: i,j,A */ 419 gg3_temp[d2][d3] += U[d2][d3] * temp2; 420 } 421 } 422 #endif 423 } // qi 424 } // ei_r 425 IPf_idx += nip_loc_r * Nfloc_r; 426 } /* grid_r - IPs */ 427 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); 428 // add alpha and put in gg2/3 429 for (PetscInt fieldA = 0, f_off = ctx->species_offset[grid]; fieldA < loc_Nf; ++fieldA) { 430 for (d2 = 0; d2 < LANDAU_DIM; d2++) { 431 gg2[fieldA][d2] = gg2_temp[d2] * nu_alpha[fieldA + f_off]; 432 for (d3 = 0; d3 < LANDAU_DIM; d3++) gg3[fieldA][d2][d3] = -gg3_temp[d2][d3] * nu_alpha[fieldA + f_off] * invMass[fieldA + f_off]; 433 } 434 } 435 /* add electric field term once per IP */ 436 for (PetscInt fieldA = 0, f_off = ctx->species_offset[grid]; fieldA < loc_Nf; ++fieldA) gg2[fieldA][LANDAU_DIM - 1] += Eq_m[fieldA + f_off]; 437 /* Jacobian transform - g2, g3 */ 438 for (PetscInt fieldA = 0; fieldA < loc_Nf; ++fieldA) { 439 for (d = 0; d < dim; ++d) { 440 g2[fieldA][d] = 0.0; 441 for (d2 = 0; d2 < dim; ++d2) { 442 g2[fieldA][d] += invJj[d * dim + d2] * gg2[fieldA][d2]; 443 g3[fieldA][d][d2] = 0.0; 444 for (d3 = 0; d3 < dim; ++d3) { 445 for (dp = 0; dp < dim; ++dp) g3[fieldA][d][d2] += invJj[d * dim + d3] * gg3[fieldA][d3][dp] * invJj[d2 * dim + dp]; 446 } 447 g3[fieldA][d][d2] *= wj; 448 } 449 g2[fieldA][d] *= wj; 450 } 451 } 452 } else { // mass 453 PetscReal wj = ww[jpidx_glb]; 454 /* Jacobian transform - g0 */ 455 for (PetscInt fieldA = 0; fieldA < loc_Nf; ++fieldA) { 456 if (dim == 2) { 457 g0[fieldA] = wj * shift * 2. * PETSC_PI; // move this to below and remove g0 458 } else { 459 g0[fieldA] = wj * shift; // move this to below and remove g0 460 } 461 } 462 } 463 /* FE matrix construction */ 464 { 465 PetscInt fieldA, d, f, d2, g; 466 const PetscReal *BJq = &BB[qj * Nb], *DIq = &DD[qj * Nb * dim]; 467 /* assemble - on the diagonal (I,I) */ 468 for (fieldA = 0; fieldA < loc_Nf; fieldA++) { 469 for (f = 0; f < Nb; f++) { 470 const PetscInt i = fieldA * Nb + f; /* Element matrix row */ 471 for (g = 0; g < Nb; ++g) { 472 const PetscInt j = fieldA * Nb + g; /* Element matrix column */ 473 const PetscInt fOff = i * totDim + j; 474 if (shift == 0.0) { 475 for (d = 0; d < dim; ++d) { 476 elemMat[fOff] += DIq[f * dim + d] * g2[fieldA][d] * BJq[g]; 477 for (d2 = 0; d2 < dim; ++d2) elemMat[fOff] += DIq[f * dim + d] * g3[fieldA][d][d2] * DIq[g * dim + d2]; 478 } 479 } else { // mass 480 elemMat[fOff] += BJq[f] * g0[fieldA] * BJq[g]; 481 } 482 } 483 } 484 } 485 } 486 } /* qj loop */ 487 if (shift == 0.0) { // Jacobian 488 PetscCall(PetscLogEventEnd(ctx->events[4], 0, 0, 0, 0)); 489 } else { 490 PetscCall(PetscLogEventEnd(ctx->events[16], 0, 0, 0, 0)); 491 } 492 #if defined(PETSC_HAVE_THREADSAFETY) 493 endtime = MPI_Wtime(); 494 if (ctx->stage) ctx->times[LANDAU_KERNEL] += (endtime - starttime); 495 #endif 496 /* assemble matrix */ 497 if (!container) { 498 PetscInt cStart; 499 PetscCall(PetscLogEventBegin(ctx->events[6], 0, 0, 0, 0)); 500 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, NULL)); 501 PetscCall(DMPlexMatSetClosure(ctx->plex[grid], section[grid], globsection[grid], subJ[LAND_PACK_IDX(b_id, grid)], loc_elem + cStart, elemMat, ADD_VALUES)); 502 PetscCall(PetscLogEventEnd(ctx->events[6], 0, 0, 0, 0)); 503 } else { // GPU like assembly for debugging 504 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]; 505 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}; 506 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; 507 /* assemble - from the diagonal (I,I) in this format for DMPlexMatSetClosure */ 508 for (fieldA = 0; fieldA < loc_Nf; fieldA++) { 509 LandauIdx *const Idxs = &maps[grid].gIdx[loc_elem][fieldA][0]; 510 for (f = 0; f < Nb; f++) { 511 PetscInt idx = Idxs[f]; 512 if (idx >= 0) { 513 nr = 1; 514 rows0[0] = idx; 515 row_scale[0] = 1.; 516 } else { 517 idx = -idx - 1; 518 for (q = 0, nr = 0; q < maps[grid].num_face; q++, nr++) { 519 if (maps[grid].c_maps[idx][q].gid < 0) break; 520 rows0[q] = maps[grid].c_maps[idx][q].gid; 521 row_scale[q] = maps[grid].c_maps[idx][q].scale; 522 } 523 } 524 for (g = 0; g < Nb; ++g) { 525 idx = Idxs[g]; 526 if (idx >= 0) { 527 nc = 1; 528 cols0[0] = idx; 529 col_scale[0] = 1.; 530 } else { 531 idx = -idx - 1; 532 nc = maps[grid].num_face; 533 for (q = 0, nc = 0; q < maps[grid].num_face; q++, nc++) { 534 if (maps[grid].c_maps[idx][q].gid < 0) break; 535 cols0[q] = maps[grid].c_maps[idx][q].gid; 536 col_scale[q] = maps[grid].c_maps[idx][q].scale; 537 } 538 } 539 const PetscInt i = fieldA * Nb + f; /* Element matrix row */ 540 const PetscInt j = fieldA * Nb + g; /* Element matrix column */ 541 const PetscScalar Aij = elemMat[i * totDim + j]; 542 if (coo_vals) { // mirror (i,j) in CreateStaticGPUData 543 const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb; 544 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]; 545 for (int q = 0, idx2 = idx0; q < nr; q++) { 546 for (int d = 0; d < nc; d++, idx2++) coo_vals[idx2] = row_scale[q] * col_scale[d] * Aij; 547 } 548 } else { 549 for (q = 0; q < nr; q++) rows[q] = rows0[q] + moffset; 550 for (d = 0; d < nc; d++) cols[d] = cols0[d] + moffset; 551 for (q = 0; q < nr; q++) { 552 for (d = 0; d < nc; d++) vals[q * nc + d] = row_scale[q] * col_scale[d] * Aij; 553 } 554 PetscCall(MatSetValues(JacP, nr, rows, nc, cols, vals, ADD_VALUES)); 555 } 556 } 557 } 558 } 559 } 560 if (loc_elem == -1) { 561 PetscCall(PetscPrintf(ctx->comm, "CPU Element matrix\n")); 562 for (int d = 0; d < totDim; ++d) { 563 for (int f = 0; f < totDim; ++f) PetscCall(PetscPrintf(ctx->comm, " %12.5e", (double)PetscRealPart(elemMat[d * totDim + f]))); 564 PetscCall(PetscPrintf(ctx->comm, "\n")); 565 } 566 exit(12); 567 } 568 PetscCall(PetscFree(elemMat)); 569 } /* grid */ 570 } /* outer element & batch loop */ 571 if (shift == 0.0) { // mass 572 PetscCall(PetscFree4(ff, dudx, dudy, dudz)); 573 } 574 if (!container) { // 'CPU' assembly move nest matrix to global JacP 575 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // OpenMP 576 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 577 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]; 578 PetscInt nloc, nzl, colbuf[1024], row; 579 const PetscInt *cols; 580 const PetscScalar *vals; 581 Mat B = subJ[LAND_PACK_IDX(b_id, grid)]; 582 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 583 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 584 PetscCall(MatGetSize(B, &nloc, NULL)); 585 for (int i = 0; i < nloc; i++) { 586 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 587 PetscCheck(nzl <= 1024, PetscObjectComm((PetscObject)B), PETSC_ERR_PLIB, "Row too big: %" PetscInt_FMT, nzl); 588 for (int j = 0; j < nzl; j++) colbuf[j] = moffset + cols[j]; 589 row = moffset + i; 590 PetscCall(MatSetValues(JacP, 1, &row, nzl, colbuf, vals, ADD_VALUES)); 591 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 592 } 593 PetscCall(MatDestroy(&B)); 594 } 595 } 596 } 597 if (coo_vals) { 598 PetscCall(MatSetValuesCOO(JacP, coo_vals, ADD_VALUES)); 599 PetscCall(PetscFree(coo_vals)); 600 } 601 } /* CPU version */ 602 PetscCall(MatAssemblyBegin(JacP, MAT_FINAL_ASSEMBLY)); 603 PetscCall(MatAssemblyEnd(JacP, MAT_FINAL_ASSEMBLY)); 604 /* clean up */ 605 if (cellClosure) PetscCall(PetscFree(cellClosure)); 606 if (xdata) PetscCall(VecRestoreArrayReadAndMemType(a_X, &xdata)); 607 PetscFunctionReturn(0); 608 } 609 610 #if defined(LANDAU_ADD_BCS) 611 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[]) 612 { 613 uexact[0] = 0; 614 } 615 #endif 616 617 #define MATVEC2(__a, __x, __p) \ 618 { \ 619 int i, j; \ 620 for (i = 0.; i < 2; i++) { \ 621 __p[i] = 0; \ 622 for (j = 0.; j < 2; j++) __p[i] += __a[i][j] * __x[j]; \ 623 } \ 624 } 625 static void CircleInflate(PetscReal r1, PetscReal r2, PetscReal r0, PetscInt num_sections, PetscReal x, PetscReal y, PetscReal *outX, PetscReal *outY) 626 { 627 PetscReal rr = PetscSqrtReal(x * x + y * y), outfact, efact; 628 if (rr < r1 + PETSC_SQRT_MACHINE_EPSILON) { 629 *outX = x; 630 *outY = y; 631 } else { 632 const PetscReal xy[2] = {x, y}, sinphi = y / rr, cosphi = x / rr; 633 PetscReal cth, sth, xyprime[2], Rth[2][2], rotcos, newrr; 634 if (num_sections == 2) { 635 rotcos = 0.70710678118654; 636 outfact = 1.5; 637 efact = 2.5; 638 /* rotate normalized vector into [-pi/4,pi/4) */ 639 if (sinphi >= 0.) { /* top cell, -pi/2 */ 640 cth = 0.707106781186548; 641 sth = -0.707106781186548; 642 } else { /* bottom cell -pi/8 */ 643 cth = 0.707106781186548; 644 sth = .707106781186548; 645 } 646 } else if (num_sections == 3) { 647 rotcos = 0.86602540378443; 648 outfact = 1.5; 649 efact = 2.5; 650 /* rotate normalized vector into [-pi/6,pi/6) */ 651 if (sinphi >= 0.5) { /* top cell, -pi/3 */ 652 cth = 0.5; 653 sth = -0.866025403784439; 654 } else if (sinphi >= -.5) { /* mid cell 0 */ 655 cth = 1.; 656 sth = .0; 657 } else { /* bottom cell +pi/3 */ 658 cth = 0.5; 659 sth = 0.866025403784439; 660 } 661 } else if (num_sections == 4) { 662 rotcos = 0.9238795325112; 663 outfact = 1.5; 664 efact = 3; 665 /* rotate normalized vector into [-pi/8,pi/8) */ 666 if (sinphi >= 0.707106781186548) { /* top cell, -3pi/8 */ 667 cth = 0.38268343236509; 668 sth = -0.923879532511287; 669 } else if (sinphi >= 0.) { /* mid top cell -pi/8 */ 670 cth = 0.923879532511287; 671 sth = -.38268343236509; 672 } else if (sinphi >= -0.707106781186548) { /* mid bottom cell + pi/8 */ 673 cth = 0.923879532511287; 674 sth = 0.38268343236509; 675 } else { /* bottom cell + 3pi/8 */ 676 cth = 0.38268343236509; 677 sth = .923879532511287; 678 } 679 } else { 680 cth = 0.; 681 sth = 0.; 682 rotcos = 0; 683 efact = 0; 684 } 685 Rth[0][0] = cth; 686 Rth[0][1] = -sth; 687 Rth[1][0] = sth; 688 Rth[1][1] = cth; 689 MATVEC2(Rth, xy, xyprime); 690 if (num_sections == 2) { 691 newrr = xyprime[0] / rotcos; 692 } else { 693 PetscReal newcosphi = xyprime[0] / rr, rin = r1, rout = rr - rin; 694 PetscReal routmax = r0 * rotcos / newcosphi - rin, nroutmax = r0 - rin, routfrac = rout / routmax; 695 newrr = rin + routfrac * nroutmax; 696 } 697 *outX = cosphi * newrr; 698 *outY = sinphi * newrr; 699 /* grade */ 700 PetscReal fact, tt, rs, re, rr = PetscSqrtReal(PetscSqr(*outX) + PetscSqr(*outY)); 701 if (rr > r2) { 702 rs = r2; 703 re = r0; 704 fact = outfact; 705 } /* outer zone */ 706 else { 707 rs = r1; 708 re = r2; 709 fact = efact; 710 } /* electron zone */ 711 tt = (rs + PetscPowReal((rr - rs) / (re - rs), fact) * (re - rs)) / rr; 712 *outX *= tt; 713 *outY *= tt; 714 } 715 } 716 717 static PetscErrorCode GeometryDMLandau(DM base, PetscInt point, PetscInt dim, const PetscReal abc[], PetscReal xyz[], void *a_ctx) 718 { 719 LandauCtx *ctx = (LandauCtx *)a_ctx; 720 PetscReal r = abc[0], z = abc[1]; 721 if (ctx->inflate) { 722 PetscReal absR, absZ; 723 absR = PetscAbs(r); 724 absZ = PetscAbs(z); 725 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? 726 r = (r > 0) ? absR : -absR; 727 z = (z > 0) ? absZ : -absZ; 728 } 729 xyz[0] = r; 730 xyz[1] = z; 731 if (dim == 3) xyz[2] = abc[2]; 732 733 PetscFunctionReturn(0); 734 } 735 736 /* create DMComposite of meshes for each species group */ 737 static PetscErrorCode LandauDMCreateVMeshes(MPI_Comm comm_self, const PetscInt dim, const char prefix[], LandauCtx *ctx, DM pack) 738 { 739 PetscFunctionBegin; 740 { /* p4est, quads */ 741 /* Create plex mesh of Landau domain */ 742 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 743 PetscReal radius = ctx->radius[grid]; 744 if (!ctx->sphere) { 745 PetscReal lo[] = {-radius, -radius, -radius}, hi[] = {radius, radius, radius}; 746 DMBoundaryType periodicity[3] = {DM_BOUNDARY_NONE, dim == 2 ? DM_BOUNDARY_NONE : DM_BOUNDARY_NONE, DM_BOUNDARY_NONE}; 747 if (dim == 2) lo[0] = 0; 748 PetscCall(DMPlexCreateBoxMesh(comm_self, dim, PETSC_FALSE, ctx->cells0, lo, hi, periodicity, PETSC_TRUE, &ctx->plex[grid])); // todo: make composite and create dm[grid] here 749 PetscCall(DMLocalizeCoordinates(ctx->plex[grid])); /* needed for periodic */ 750 if (dim == 3) PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "cube")); 751 else PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "half-plane")); 752 } else if (dim == 2) { // sphere is all wrong. should just have one inner radius 753 PetscInt numCells, cells[16][4], i, j; 754 PetscInt numVerts; 755 PetscReal inner_radius1 = ctx->i_radius[grid], inner_radius2 = ctx->e_radius; 756 PetscReal *flatCoords = NULL; 757 PetscInt *flatCells = NULL, *pcell; 758 if (ctx->num_sections == 2) { 759 #if 1 760 numCells = 5; 761 numVerts = 10; 762 int cells2[][4] = { 763 {0, 1, 4, 3}, 764 {1, 2, 5, 4}, 765 {3, 4, 7, 6}, 766 {4, 5, 8, 7}, 767 {6, 7, 8, 9} 768 }; 769 for (i = 0; i < numCells; i++) 770 for (j = 0; j < 4; j++) cells[i][j] = cells2[i][j]; 771 PetscCall(PetscMalloc2(numVerts * 2, &flatCoords, numCells * 4, &flatCells)); 772 { 773 PetscReal(*coords)[2] = (PetscReal(*)[2])flatCoords; 774 for (j = 0; j < numVerts - 1; j++) { 775 PetscReal z, r, theta = -PETSC_PI / 2 + (j % 3) * PETSC_PI / 2; 776 PetscReal rad = (j >= 6) ? inner_radius1 : (j >= 3) ? inner_radius2 : ctx->radius[grid]; 777 z = rad * PetscSinReal(theta); 778 coords[j][1] = z; 779 r = rad * PetscCosReal(theta); 780 coords[j][0] = r; 781 } 782 coords[numVerts - 1][0] = coords[numVerts - 1][1] = 0; 783 } 784 #else 785 numCells = 4; 786 numVerts = 8; 787 static int cells2[][4] = { 788 {0, 1, 2, 3}, 789 {4, 5, 1, 0}, 790 {5, 6, 2, 1}, 791 {6, 7, 3, 2} 792 }; 793 for (i = 0; i < numCells; i++) 794 for (j = 0; j < 4; j++) cells[i][j] = cells2[i][j]; 795 PetscCall(loc2(numVerts * 2, &flatCoords, numCells * 4, &flatCells)); 796 { 797 PetscReal(*coords)[2] = (PetscReal(*)[2])flatCoords; 798 PetscInt j; 799 for (j = 0; j < 8; j++) { 800 PetscReal z, r; 801 PetscReal theta = -PETSC_PI / 2 + (j % 4) * PETSC_PI / 3.; 802 PetscReal rad = ctx->radius[grid] * ((j < 4) ? 0.5 : 1.0); 803 z = rad * PetscSinReal(theta); 804 coords[j][1] = z; 805 r = rad * PetscCosReal(theta); 806 coords[j][0] = r; 807 } 808 } 809 #endif 810 } else if (ctx->num_sections == 3) { 811 numCells = 7; 812 numVerts = 12; 813 int cells2[][4] = { 814 {0, 1, 5, 4 }, 815 {1, 2, 6, 5 }, 816 {2, 3, 7, 6 }, 817 {4, 5, 9, 8 }, 818 {5, 6, 10, 9 }, 819 {6, 7, 11, 10}, 820 {8, 9, 10, 11} 821 }; 822 for (i = 0; i < numCells; i++) 823 for (j = 0; j < 4; j++) cells[i][j] = cells2[i][j]; 824 PetscCall(PetscMalloc2(numVerts * 2, &flatCoords, numCells * 4, &flatCells)); 825 { 826 PetscReal(*coords)[2] = (PetscReal(*)[2])flatCoords; 827 for (j = 0; j < numVerts; j++) { 828 PetscReal z, r, theta = -PETSC_PI / 2 + (j % 4) * PETSC_PI / 3; 829 PetscReal rad = (j >= 8) ? inner_radius1 : (j >= 4) ? inner_radius2 : ctx->radius[grid]; 830 z = rad * PetscSinReal(theta); 831 coords[j][1] = z; 832 r = rad * PetscCosReal(theta); 833 coords[j][0] = r; 834 } 835 } 836 } else if (ctx->num_sections == 4) { 837 numCells = 10; 838 numVerts = 16; 839 int cells2[][4] = { 840 {0, 1, 6, 5 }, 841 {1, 2, 7, 6 }, 842 {2, 3, 8, 7 }, 843 {3, 4, 9, 8 }, 844 {5, 6, 11, 10}, 845 {6, 7, 12, 11}, 846 {7, 8, 13, 12}, 847 {8, 9, 14, 13}, 848 {10, 11, 12, 15}, 849 {12, 13, 14, 15} 850 }; 851 for (i = 0; i < numCells; i++) 852 for (j = 0; j < 4; j++) cells[i][j] = cells2[i][j]; 853 PetscCall(PetscMalloc2(numVerts * 2, &flatCoords, numCells * 4, &flatCells)); 854 { 855 PetscReal(*coords)[2] = (PetscReal(*)[2])flatCoords; 856 for (j = 0; j < numVerts - 1; j++) { 857 PetscReal z, r, theta = -PETSC_PI / 2 + (j % 5) * PETSC_PI / 4; 858 PetscReal rad = (j >= 10) ? inner_radius1 : (j >= 5) ? inner_radius2 : ctx->radius[grid]; 859 z = rad * PetscSinReal(theta); 860 coords[j][1] = z; 861 r = rad * PetscCosReal(theta); 862 coords[j][0] = r; 863 } 864 coords[numVerts - 1][0] = coords[numVerts - 1][1] = 0; 865 } 866 } else { 867 numCells = 0; 868 numVerts = 0; 869 } 870 for (j = 0, pcell = flatCells; j < numCells; j++, pcell += 4) { 871 pcell[0] = cells[j][0]; 872 pcell[1] = cells[j][1]; 873 pcell[2] = cells[j][2]; 874 pcell[3] = cells[j][3]; 875 } 876 PetscCall(DMPlexCreateFromCellListPetsc(comm_self, 2, numCells, numVerts, 4, ctx->interpolate, flatCells, 2, flatCoords, &ctx->plex[grid])); 877 PetscCall(PetscFree2(flatCoords, flatCells)); 878 PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "semi-circle")); 879 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Velocity space meshes does not support cubed sphere"); 880 881 PetscCall(DMSetFromOptions(ctx->plex[grid])); 882 } // grid loop 883 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)pack, prefix)); 884 885 { /* convert to p4est (or whatever), wait for discretization to create pack */ 886 char convType[256]; 887 PetscBool flg; 888 889 PetscOptionsBegin(ctx->comm, prefix, "Mesh conversion options", "DMPLEX"); 890 PetscCall(PetscOptionsFList("-dm_landau_type", "Convert DMPlex to another format (p4est)", "plexland.c", DMList, DMPLEX, convType, 256, &flg)); 891 PetscOptionsEnd(); 892 if (flg) { 893 ctx->use_p4est = PETSC_TRUE; /* flag for Forest */ 894 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 895 DM dmforest; 896 PetscCall(DMConvert(ctx->plex[grid], convType, &dmforest)); 897 if (dmforest) { 898 PetscBool isForest; 899 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)dmforest, prefix)); 900 PetscCall(DMIsForest(dmforest, &isForest)); 901 if (isForest) { 902 if (ctx->sphere && ctx->inflate) PetscCall(DMForestSetBaseCoordinateMapping(dmforest, GeometryDMLandau, ctx)); 903 PetscCall(DMDestroy(&ctx->plex[grid])); 904 ctx->plex[grid] = dmforest; // Forest for adaptivity 905 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Converted to non Forest?"); 906 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Convert failed?"); 907 } 908 } else ctx->use_p4est = PETSC_FALSE; /* flag for Forest */ 909 } 910 } /* non-file */ 911 PetscCall(DMSetDimension(pack, dim)); 912 PetscCall(PetscObjectSetName((PetscObject)pack, "Mesh")); 913 PetscCall(DMSetApplicationContext(pack, ctx)); 914 915 PetscFunctionReturn(0); 916 } 917 918 static PetscErrorCode SetupDS(DM pack, PetscInt dim, PetscInt grid, LandauCtx *ctx) 919 { 920 PetscInt ii, i0; 921 char buf[256]; 922 PetscSection section; 923 924 PetscFunctionBegin; 925 for (ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 926 if (ii == 0) PetscCall(PetscSNPrintf(buf, sizeof(buf), "e")); 927 else PetscCall(PetscSNPrintf(buf, sizeof(buf), "i%" PetscInt_FMT, ii)); 928 /* Setup Discretization - FEM */ 929 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, PETSC_FALSE, NULL, PETSC_DECIDE, &ctx->fe[ii])); 930 PetscCall(PetscObjectSetName((PetscObject)ctx->fe[ii], buf)); 931 PetscCall(DMSetField(ctx->plex[grid], i0, NULL, (PetscObject)ctx->fe[ii])); 932 } 933 PetscCall(DMCreateDS(ctx->plex[grid])); 934 PetscCall(DMGetSection(ctx->plex[grid], §ion)); 935 for (PetscInt ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 936 if (ii == 0) PetscCall(PetscSNPrintf(buf, sizeof(buf), "se")); 937 else PetscCall(PetscSNPrintf(buf, sizeof(buf), "si%" PetscInt_FMT, ii)); 938 PetscCall(PetscSectionSetComponentName(section, i0, 0, buf)); 939 } 940 PetscFunctionReturn(0); 941 } 942 943 /* Define a Maxwellian function for testing out the operator. */ 944 945 /* Using cartesian velocity space coordinates, the particle */ 946 /* density, [1/m^3], is defined according to */ 947 948 /* $$ n=\int_{R^3} dv^3 \left(\frac{m}{2\pi T}\right)^{3/2}\exp [- mv^2/(2T)] $$ */ 949 950 /* Using some constant, c, we normalize the velocity vector into a */ 951 /* dimensionless variable according to v=c*x. Thus the density, $n$, becomes */ 952 953 /* $$ n=\int_{R^3} dx^3 \left(\frac{mc^2}{2\pi T}\right)^{3/2}\exp [- mc^2/(2T)*x^2] $$ */ 954 955 /* Defining $\theta=2T/mc^2$, we thus find that the probability density */ 956 /* for finding the particle within the interval in a box dx^3 around x is */ 957 958 /* f(x;\theta)=\left(\frac{1}{\pi\theta}\right)^{3/2} \exp [ -x^2/\theta ] */ 959 960 typedef struct { 961 PetscReal v_0; 962 PetscReal kT_m; 963 PetscReal n; 964 PetscReal shift; 965 } MaxwellianCtx; 966 967 static PetscErrorCode maxwellian(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) 968 { 969 MaxwellianCtx *mctx = (MaxwellianCtx *)actx; 970 PetscInt i; 971 PetscReal v2 = 0, theta = 2 * mctx->kT_m / (mctx->v_0 * mctx->v_0); /* theta = 2kT/mc^2 */ 972 PetscFunctionBegin; 973 /* compute the exponents, v^2 */ 974 for (i = 0; i < dim; ++i) v2 += x[i] * x[i]; 975 /* evaluate the Maxwellian */ 976 u[0] = mctx->n * PetscPowReal(PETSC_PI * theta, -1.5) * (PetscExpReal(-v2 / theta)); 977 if (mctx->shift != 0.) { 978 v2 = 0; 979 for (i = 0; i < dim - 1; ++i) v2 += x[i] * x[i]; 980 v2 += (x[dim - 1] - mctx->shift) * (x[dim - 1] - mctx->shift); 981 /* evaluate the shifted Maxwellian */ 982 u[0] += mctx->n * PetscPowReal(PETSC_PI * theta, -1.5) * (PetscExpReal(-v2 / theta)); 983 } 984 PetscFunctionReturn(0); 985 } 986 987 /*@ 988 DMPlexLandauAddMaxwellians - Add a Maxwellian distribution to a state 989 990 Collective on X 991 992 Input Parameters: 993 . dm - The mesh (local) 994 + time - Current time 995 - temps - Temperatures of each species (global) 996 . ns - Number density of each species (global) 997 - grid - index into current grid - just used for offset into temp and ns 998 . b_id - batch index 999 - n_batch - number of batches 1000 + actx - Landau context 1001 1002 Output Parameter: 1003 . X - The state (local to this grid) 1004 1005 Level: beginner 1006 1007 .keywords: mesh 1008 .seealso: `DMPlexLandauCreateVelocitySpace()` 1009 @*/ 1010 PetscErrorCode DMPlexLandauAddMaxwellians(DM dm, Vec X, PetscReal time, PetscReal temps[], PetscReal ns[], PetscInt grid, PetscInt b_id, PetscInt n_batch, void *actx) 1011 { 1012 LandauCtx *ctx = (LandauCtx *)actx; 1013 PetscErrorCode (*initu[LANDAU_MAX_SPECIES])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *); 1014 PetscInt dim; 1015 MaxwellianCtx *mctxs[LANDAU_MAX_SPECIES], data[LANDAU_MAX_SPECIES]; 1016 1017 PetscFunctionBegin; 1018 PetscCall(DMGetDimension(dm, &dim)); 1019 if (!ctx) PetscCall(DMGetApplicationContext(dm, &ctx)); 1020 for (PetscInt ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 1021 mctxs[i0] = &data[i0]; 1022 data[i0].v_0 = ctx->v_0; // v_0 same for all grids 1023 data[i0].kT_m = ctx->k * temps[ii] / ctx->masses[ii]; /* kT/m */ 1024 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 1025 initu[i0] = maxwellian; 1026 data[i0].shift = 0; 1027 } 1028 data[0].shift = ctx->electronShift; 1029 /* need to make ADD_ALL_VALUES work - TODO */ 1030 PetscCall(DMProjectFunction(dm, time, initu, (void **)mctxs, INSERT_ALL_VALUES, X)); 1031 PetscFunctionReturn(0); 1032 } 1033 1034 /* 1035 LandauSetInitialCondition - Addes Maxwellians with context 1036 1037 Collective on X 1038 1039 Input Parameters: 1040 . dm - The mesh 1041 - grid - index into current grid - just used for offset into temp and ns 1042 . b_id - batch index 1043 - n_batch - number of batches 1044 + actx - Landau context with T and n 1045 1046 Output Parameter: 1047 . X - The state 1048 1049 Level: beginner 1050 1051 .keywords: mesh 1052 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauAddMaxwellians()` 1053 */ 1054 static PetscErrorCode LandauSetInitialCondition(DM dm, Vec X, PetscInt grid, PetscInt b_id, PetscInt n_batch, void *actx) 1055 { 1056 LandauCtx *ctx = (LandauCtx *)actx; 1057 PetscFunctionBegin; 1058 if (!ctx) PetscCall(DMGetApplicationContext(dm, &ctx)); 1059 PetscCall(VecZeroEntries(X)); 1060 PetscCall(DMPlexLandauAddMaxwellians(dm, X, 0.0, ctx->thermal_temps, ctx->n, grid, b_id, n_batch, ctx)); 1061 PetscFunctionReturn(0); 1062 } 1063 1064 // adapt a level once. Forest in/out 1065 static PetscErrorCode adaptToleranceFEM(PetscFE fem, Vec sol, PetscInt type, PetscInt grid, LandauCtx *ctx, DM *newForest) 1066 { 1067 DM forest, plex, adaptedDM = NULL; 1068 PetscDS prob; 1069 PetscBool isForest; 1070 PetscQuadrature quad; 1071 PetscInt Nq, *Nb, cStart, cEnd, c, dim, qj, k; 1072 DMLabel adaptLabel = NULL; 1073 1074 PetscFunctionBegin; 1075 forest = ctx->plex[grid]; 1076 PetscCall(DMCreateDS(forest)); 1077 PetscCall(DMGetDS(forest, &prob)); 1078 PetscCall(DMGetDimension(forest, &dim)); 1079 PetscCall(DMIsForest(forest, &isForest)); 1080 PetscCheck(isForest, ctx->comm, PETSC_ERR_ARG_WRONG, "! Forest"); 1081 PetscCall(DMConvert(forest, DMPLEX, &plex)); 1082 PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd)); 1083 PetscCall(DMLabelCreate(PETSC_COMM_SELF, "adapt", &adaptLabel)); 1084 PetscCall(PetscFEGetQuadrature(fem, &quad)); 1085 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, NULL)); 1086 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); 1087 PetscCall(PetscDSGetDimensions(prob, &Nb)); 1088 if (type == 4) { 1089 for (c = cStart; c < cEnd; c++) PetscCall(DMLabelSetValue(adaptLabel, c, DM_ADAPT_REFINE)); 1090 PetscCall(PetscInfo(sol, "Phase:%s: Uniform refinement\n", "adaptToleranceFEM")); 1091 } else if (type == 2) { 1092 PetscInt rCellIdx[8], eCellIdx[64], iCellIdx[64], eMaxIdx = -1, iMaxIdx = -1, nr = 0, nrmax = (dim == 3) ? 8 : 2; 1093 PetscReal minRad = PETSC_INFINITY, r, eMinRad = PETSC_INFINITY, iMinRad = PETSC_INFINITY; 1094 for (c = 0; c < 64; c++) eCellIdx[c] = iCellIdx[c] = -1; 1095 for (c = cStart; c < cEnd; c++) { 1096 PetscReal tt, v0[LANDAU_MAX_NQ * 3], detJ[LANDAU_MAX_NQ]; 1097 PetscCall(DMPlexComputeCellGeometryFEM(plex, c, quad, v0, NULL, NULL, detJ)); 1098 for (qj = 0; qj < Nq; ++qj) { 1099 tt = PetscSqr(v0[dim * qj + 0]) + PetscSqr(v0[dim * qj + 1]) + PetscSqr(((dim == 3) ? v0[dim * qj + 2] : 0)); 1100 r = PetscSqrtReal(tt); 1101 if (r < minRad - PETSC_SQRT_MACHINE_EPSILON * 10.) { 1102 minRad = r; 1103 nr = 0; 1104 rCellIdx[nr++] = c; 1105 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)); 1106 } else if ((r - minRad) < PETSC_SQRT_MACHINE_EPSILON * 100. && nr < nrmax) { 1107 for (k = 0; k < nr; k++) 1108 if (c == rCellIdx[k]) break; 1109 if (k == nr) { 1110 rCellIdx[nr++] = c; 1111 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))); 1112 } 1113 } 1114 if (ctx->sphere) { 1115 if ((tt = r - ctx->e_radius) > 0) { 1116 PetscCall(PetscInfo(sol, "\t\t\t %" PetscInt_FMT " cell r=%g\n", c, (double)tt)); 1117 if (tt < eMinRad - PETSC_SQRT_MACHINE_EPSILON * 100.) { 1118 eMinRad = tt; 1119 eMaxIdx = 0; 1120 eCellIdx[eMaxIdx++] = c; 1121 } else if (eMaxIdx > 0 && (tt - eMinRad) <= PETSC_SQRT_MACHINE_EPSILON && c != eCellIdx[eMaxIdx - 1]) { 1122 eCellIdx[eMaxIdx++] = c; 1123 } 1124 } 1125 if ((tt = r - ctx->i_radius[grid]) > 0) { 1126 if (tt < iMinRad - 1.e-5) { 1127 iMinRad = tt; 1128 iMaxIdx = 0; 1129 iCellIdx[iMaxIdx++] = c; 1130 } else if (iMaxIdx > 0 && (tt - iMinRad) <= PETSC_SQRT_MACHINE_EPSILON && c != iCellIdx[iMaxIdx - 1]) { 1131 iCellIdx[iMaxIdx++] = c; 1132 } 1133 } 1134 } 1135 } 1136 } 1137 for (k = 0; k < nr; k++) PetscCall(DMLabelSetValue(adaptLabel, rCellIdx[k], DM_ADAPT_REFINE)); 1138 if (ctx->sphere) { 1139 for (c = 0; c < eMaxIdx; c++) { 1140 PetscCall(DMLabelSetValue(adaptLabel, eCellIdx[c], DM_ADAPT_REFINE)); 1141 PetscCall(PetscInfo(sol, "\t\tPhase:%s: refine sphere e cell %" PetscInt_FMT " r=%g\n", "adaptToleranceFEM", eCellIdx[c], (double)eMinRad)); 1142 } 1143 for (c = 0; c < iMaxIdx; c++) { 1144 PetscCall(DMLabelSetValue(adaptLabel, iCellIdx[c], DM_ADAPT_REFINE)); 1145 PetscCall(PetscInfo(sol, "\t\tPhase:%s: refine sphere i cell %" PetscInt_FMT " r=%g\n", "adaptToleranceFEM", iCellIdx[c], (double)iMinRad)); 1146 } 1147 } 1148 PetscCall(PetscInfo(sol, "Phase:%s: Adaptive refine origin cells %" PetscInt_FMT ",%" PetscInt_FMT " r=%g\n", "adaptToleranceFEM", rCellIdx[0], rCellIdx[1], (double)minRad)); 1149 } else if (type == 0 || type == 1 || type == 3) { /* refine along r=0 axis */ 1150 PetscScalar *coef = NULL; 1151 Vec coords; 1152 PetscInt csize, Nv, d, nz; 1153 DM cdm; 1154 PetscSection cs; 1155 PetscCall(DMGetCoordinatesLocal(forest, &coords)); 1156 PetscCall(DMGetCoordinateDM(forest, &cdm)); 1157 PetscCall(DMGetLocalSection(cdm, &cs)); 1158 for (c = cStart; c < cEnd; c++) { 1159 PetscInt doit = 0, outside = 0; 1160 PetscCall(DMPlexVecGetClosure(cdm, cs, coords, c, &csize, &coef)); 1161 Nv = csize / dim; 1162 for (nz = d = 0; d < Nv; d++) { 1163 PetscReal z = PetscRealPart(coef[d * dim + (dim - 1)]), x = PetscSqr(PetscRealPart(coef[d * dim + 0])) + ((dim == 3) ? PetscSqr(PetscRealPart(coef[d * dim + 1])) : 0); 1164 x = PetscSqrtReal(x); 1165 if (x < PETSC_MACHINE_EPSILON * 10. && PetscAbs(z) < PETSC_MACHINE_EPSILON * 10.) doit = 1; /* refine origin */ 1166 else if (type == 0 && (z < -PETSC_MACHINE_EPSILON * 10. || z > ctx->re_radius + PETSC_MACHINE_EPSILON * 10.)) outside++; /* first pass don't refine bottom */ 1167 else if (type == 1 && (z > ctx->vperp0_radius1 || z < -ctx->vperp0_radius1)) outside++; /* don't refine outside electron refine radius */ 1168 else if (type == 3 && (z > ctx->vperp0_radius2 || z < -ctx->vperp0_radius2)) outside++; /* don't refine outside ion refine radius */ 1169 if (x < PETSC_MACHINE_EPSILON * 10.) nz++; 1170 } 1171 PetscCall(DMPlexVecRestoreClosure(cdm, cs, coords, c, &csize, &coef)); 1172 if (doit || (outside < Nv && nz)) PetscCall(DMLabelSetValue(adaptLabel, c, DM_ADAPT_REFINE)); 1173 } 1174 PetscCall(PetscInfo(sol, "Phase:%s: RE refinement\n", "adaptToleranceFEM")); 1175 } 1176 PetscCall(DMDestroy(&plex)); 1177 PetscCall(DMAdaptLabel(forest, adaptLabel, &adaptedDM)); 1178 PetscCall(DMLabelDestroy(&adaptLabel)); 1179 *newForest = adaptedDM; 1180 if (adaptedDM) { 1181 if (isForest) { 1182 PetscCall(DMForestSetAdaptivityForest(adaptedDM, NULL)); // ???? 1183 } else exit(33); // ??????? 1184 PetscCall(DMConvert(adaptedDM, DMPLEX, &plex)); 1185 PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd)); 1186 PetscCall(PetscInfo(sol, "\tPhase: adaptToleranceFEM: %" PetscInt_FMT " cells, %" PetscInt_FMT " total quadrature points\n", cEnd - cStart, Nq * (cEnd - cStart))); 1187 PetscCall(DMDestroy(&plex)); 1188 } else *newForest = NULL; 1189 PetscFunctionReturn(0); 1190 } 1191 1192 // forest goes in (ctx->plex[grid]), plex comes out 1193 static PetscErrorCode adapt(PetscInt grid, LandauCtx *ctx, Vec *uu) 1194 { 1195 PetscInt adaptIter; 1196 1197 PetscFunctionBegin; 1198 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]}; 1199 for (type = 0; type < 5; type++) { 1200 for (adaptIter = 0; adaptIter < limits[type]; adaptIter++) { 1201 DM newForest = NULL; 1202 PetscCall(adaptToleranceFEM(ctx->fe[0], *uu, type, grid, ctx, &newForest)); 1203 if (newForest) { 1204 PetscCall(DMDestroy(&ctx->plex[grid])); 1205 PetscCall(VecDestroy(uu)); 1206 PetscCall(DMCreateGlobalVector(newForest, uu)); 1207 PetscCall(PetscObjectSetName((PetscObject)*uu, "uAMR")); 1208 PetscCall(LandauSetInitialCondition(newForest, *uu, grid, 0, 1, ctx)); 1209 ctx->plex[grid] = newForest; 1210 } else { 1211 exit(4); // can happen with no AMR and post refinement 1212 } 1213 } 1214 } 1215 PetscFunctionReturn(0); 1216 } 1217 1218 static PetscErrorCode ProcessOptions(LandauCtx *ctx, const char prefix[]) 1219 { 1220 PetscBool flg, sph_flg; 1221 PetscInt ii, nt, nm, nc, num_species_grid[LANDAU_MAX_GRIDS]; 1222 PetscReal v0_grid[LANDAU_MAX_GRIDS]; 1223 DM dummy; 1224 1225 PetscFunctionBegin; 1226 PetscCall(DMCreate(ctx->comm, &dummy)); 1227 /* get options - initialize context */ 1228 ctx->verbose = 1; // should be 0 for silent compliance 1229 #if defined(PETSC_HAVE_THREADSAFETY) 1230 ctx->batch_sz = PetscNumOMPThreads; 1231 #else 1232 ctx->batch_sz = 1; 1233 #endif 1234 ctx->batch_view_idx = 0; 1235 ctx->interpolate = PETSC_TRUE; 1236 ctx->gpu_assembly = PETSC_TRUE; 1237 ctx->norm_state = 0; 1238 ctx->electronShift = 0; 1239 ctx->M = NULL; 1240 ctx->J = NULL; 1241 /* geometry and grids */ 1242 ctx->sphere = PETSC_FALSE; 1243 ctx->inflate = PETSC_FALSE; 1244 ctx->use_p4est = PETSC_FALSE; 1245 ctx->num_sections = 3; /* 2, 3 or 4 */ 1246 for (PetscInt grid = 0; grid < LANDAU_MAX_GRIDS; grid++) { 1247 ctx->radius[grid] = 5.; /* thermal radius (velocity) */ 1248 ctx->numAMRRefine[grid] = 5; 1249 ctx->postAMRRefine[grid] = 0; 1250 ctx->species_offset[grid + 1] = 1; // one species default 1251 num_species_grid[grid] = 0; 1252 ctx->plex[grid] = NULL; /* cache as expensive to Convert */ 1253 } 1254 ctx->species_offset[0] = 0; 1255 ctx->re_radius = 0.; 1256 ctx->vperp0_radius1 = 0; 1257 ctx->vperp0_radius2 = 0; 1258 ctx->nZRefine1 = 0; 1259 ctx->nZRefine2 = 0; 1260 ctx->numRERefine = 0; 1261 num_species_grid[0] = 1; // one species default 1262 /* species - [0] electrons, [1] one ion species eg, duetarium, [2] heavy impurity ion, ... */ 1263 ctx->charges[0] = -1; /* electron charge (MKS) */ 1264 ctx->masses[0] = 1 / 1835.469965278441013; /* temporary value in proton mass */ 1265 ctx->n[0] = 1; 1266 ctx->v_0 = 1; /* thermal velocity, we could start with a scale != 1 */ 1267 ctx->thermal_temps[0] = 1; 1268 /* constants, etc. */ 1269 ctx->epsilon0 = 8.8542e-12; /* permittivity of free space (MKS) F/m */ 1270 ctx->k = 1.38064852e-23; /* Boltzmann constant (MKS) J/K */ 1271 ctx->lnLam = 10; /* cross section ratio large - small angle collisions */ 1272 ctx->n_0 = 1.e20; /* typical plasma n, but could set it to 1 */ 1273 ctx->Ez = 0; 1274 for (PetscInt grid = 0; grid < LANDAU_NUM_TIMERS; grid++) ctx->times[grid] = 0; 1275 for (PetscInt ii = 0; ii < LANDAU_DIM; ii++) ctx->cells0[ii] = 2; 1276 if (LANDAU_DIM == 2) ctx->cells0[0] = 1; 1277 ctx->use_matrix_mass = PETSC_FALSE; 1278 ctx->use_relativistic_corrections = PETSC_FALSE; 1279 ctx->use_energy_tensor_trick = PETSC_FALSE; /* Use Eero's trick for energy conservation v --> grad(v^2/2) */ 1280 ctx->SData_d.w = NULL; 1281 ctx->SData_d.x = NULL; 1282 ctx->SData_d.y = NULL; 1283 ctx->SData_d.z = NULL; 1284 ctx->SData_d.invJ = NULL; 1285 ctx->jacobian_field_major_order = PETSC_FALSE; 1286 ctx->SData_d.coo_elem_offsets = NULL; 1287 ctx->SData_d.coo_elem_point_offsets = NULL; 1288 ctx->coo_assembly = PETSC_FALSE; 1289 ctx->SData_d.coo_elem_fullNb = NULL; 1290 ctx->SData_d.coo_size = 0; 1291 PetscOptionsBegin(ctx->comm, prefix, "Options for Fokker-Plank-Landau collision operator", "none"); 1292 { 1293 char opstring[256]; 1294 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1295 ctx->deviceType = LANDAU_KOKKOS; 1296 PetscCall(PetscStrcpy(opstring, "kokkos")); 1297 #elif defined(PETSC_HAVE_CUDA) 1298 ctx->deviceType = LANDAU_CUDA; 1299 PetscCall(PetscStrcpy(opstring, "cuda")); 1300 #else 1301 ctx->deviceType = LANDAU_CPU; 1302 PetscCall(PetscStrcpy(opstring, "cpu")); 1303 #endif 1304 PetscCall(PetscOptionsString("-dm_landau_device_type", "Use kernels on 'cpu', 'cuda', or 'kokkos'", "plexland.c", opstring, opstring, sizeof(opstring), NULL)); 1305 PetscCall(PetscStrcmp("cpu", opstring, &flg)); 1306 if (flg) { 1307 ctx->deviceType = LANDAU_CPU; 1308 } else { 1309 PetscCall(PetscStrcmp("cuda", opstring, &flg)); 1310 if (flg) { 1311 ctx->deviceType = LANDAU_CUDA; 1312 } else { 1313 PetscCall(PetscStrcmp("kokkos", opstring, &flg)); 1314 if (flg) ctx->deviceType = LANDAU_KOKKOS; 1315 else SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_device_type %s", opstring); 1316 } 1317 } 1318 } 1319 PetscCall(PetscOptionsReal("-dm_landau_electron_shift", "Shift in thermal velocity of electrons", "none", ctx->electronShift, &ctx->electronShift, NULL)); 1320 PetscCall(PetscOptionsInt("-dm_landau_verbose", "Level of verbosity output", "plexland.c", ctx->verbose, &ctx->verbose, NULL)); 1321 PetscCall(PetscOptionsInt("-dm_landau_batch_size", "Number of 'vertices' to batch", "ex2.c", ctx->batch_sz, &ctx->batch_sz, NULL)); 1322 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); 1323 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)); 1324 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); 1325 PetscCall(PetscOptionsReal("-dm_landau_Ez", "Initial parallel electric field in unites of Conner-Hastie critical field", "plexland.c", ctx->Ez, &ctx->Ez, NULL)); 1326 PetscCall(PetscOptionsReal("-dm_landau_n_0", "Normalization constant for number density", "plexland.c", ctx->n_0, &ctx->n_0, NULL)); 1327 PetscCall(PetscOptionsReal("-dm_landau_ln_lambda", "Cross section parameter", "plexland.c", ctx->lnLam, &ctx->lnLam, NULL)); 1328 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)); 1329 PetscCall(PetscOptionsBool("-dm_landau_use_relativistic_corrections", "Use relativistic corrections", "plexland.c", ctx->use_relativistic_corrections, &ctx->use_relativistic_corrections, NULL)); 1330 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, 1331 &ctx->use_energy_tensor_trick, NULL)); 1332 1333 /* get num species with temperature, set defaults */ 1334 for (ii = 1; ii < LANDAU_MAX_SPECIES; ii++) { 1335 ctx->thermal_temps[ii] = 1; 1336 ctx->charges[ii] = 1; 1337 ctx->masses[ii] = 1; 1338 ctx->n[ii] = 1; 1339 } 1340 nt = LANDAU_MAX_SPECIES; 1341 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)); 1342 if (flg) { 1343 PetscCall(PetscInfo(dummy, "num_species set to number of thermal temps provided (%" PetscInt_FMT ")\n", nt)); 1344 ctx->num_species = nt; 1345 } else SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_thermal_temps ,t1,t2,.. must be provided to set the number of species"); 1346 for (ii = 0; ii < ctx->num_species; ii++) ctx->thermal_temps[ii] *= 1.1604525e7; /* convert to Kelvin */ 1347 nm = LANDAU_MAX_SPECIES - 1; 1348 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)); 1349 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); 1350 nm = LANDAU_MAX_SPECIES; 1351 PetscCall(PetscOptionsRealArray("-dm_landau_n", "Number density of each species = n_s * n_0", "plexland.c", ctx->n, &nm, &flg)); 1352 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); 1353 for (ii = 0; ii < LANDAU_MAX_SPECIES; ii++) ctx->masses[ii] *= 1.6720e-27; /* scale by proton mass kg */ 1354 ctx->masses[0] = 9.10938356e-31; /* electron mass kg (should be about right already) */ 1355 ctx->m_0 = ctx->masses[0]; /* arbitrary reference mass, electrons */ 1356 nc = LANDAU_MAX_SPECIES - 1; 1357 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)); 1358 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); 1359 for (ii = 0; ii < LANDAU_MAX_SPECIES; ii++) ctx->charges[ii] *= 1.6022e-19; /* electron/proton charge (MKS) */ 1360 /* geometry and grids */ 1361 nt = LANDAU_MAX_GRIDS; 1362 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)); 1363 if (flg) { 1364 ctx->num_grids = nt; 1365 for (ii = nt = 0; ii < ctx->num_grids; ii++) nt += num_species_grid[ii]; 1366 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, 1367 ctx->num_grids, LANDAU_MAX_GRIDS); 1368 } else { 1369 ctx->num_grids = 1; // go back to a single grid run 1370 num_species_grid[0] = ctx->num_species; 1371 } 1372 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]; 1373 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], 1374 ctx->num_species); 1375 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1376 int iii = ctx->species_offset[grid]; // normalize with first (arbitrary) species on grid 1377 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 */ 1378 } 1379 ii = 0; 1380 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)); 1381 ctx->v_0 = v0_grid[ii]; /* arbitrary units for non dimensionalization: global mean velocity in 1D of electrons */ 1382 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 */ 1383 /* domain */ 1384 nt = LANDAU_MAX_GRIDS; 1385 PetscCall(PetscOptionsRealArray("-dm_landau_domain_radius", "Phase space size in units of thermal velocity of grid", "plexland.c", ctx->radius, &nt, &flg)); 1386 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); 1387 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1388 if (flg && ctx->radius[grid] <= 0) { /* negative is ratio of c */ 1389 if (ctx->radius[grid] == 0) ctx->radius[grid] = 0.75; 1390 else ctx->radius[grid] = -ctx->radius[grid]; 1391 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) 1392 PetscCall(PetscInfo(dummy, "Change domain radius to %g for grid %" PetscInt_FMT "\n", (double)ctx->radius[grid], grid)); 1393 } 1394 ctx->radius[grid] *= v0_grid[grid] / ctx->v_0; // scale domain by thermal radius relative to v_0 1395 } 1396 /* amr parametres */ 1397 nt = LANDAU_DIM; 1398 PetscCall(PetscOptionsIntArray("-dm_landau_num_cells", "Number of cells in each dimention of base grid", "plexland.c", ctx->cells0, &nt, &flg)); 1399 nt = LANDAU_MAX_GRIDS; 1400 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)); 1401 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); 1402 nt = LANDAU_MAX_GRIDS; 1403 PetscCall(PetscOptionsIntArray("-dm_landau_amr_post_refine", "Number of levels to uniformly refine after AMR", "plexland.c", ctx->postAMRRefine, &nt, &flg)); 1404 for (ii = 1; ii < ctx->num_grids; ii++) ctx->postAMRRefine[ii] = ctx->postAMRRefine[0]; // all grids the same now 1405 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)); 1406 PetscCall(PetscOptionsInt("-dm_landau_amr_z_refine1", "Number of levels to refine along v_perp=0", "plexland.c", ctx->nZRefine1, &ctx->nZRefine1, &flg)); 1407 PetscCall(PetscOptionsInt("-dm_landau_amr_z_refine2", "Number of levels to refine along v_perp=0", "plexland.c", ctx->nZRefine2, &ctx->nZRefine2, &flg)); 1408 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)); 1409 PetscCall(PetscOptionsReal("-dm_landau_z_radius1", "velocity range to refine r=0 axis (for electrons)", "plexland.c", ctx->vperp0_radius1, &ctx->vperp0_radius1, &flg)); 1410 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)); 1411 /* spherical domain (not used) */ 1412 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)); 1413 PetscCall(PetscOptionsBool("-dm_landau_sphere", "use sphere/semi-circle domain instead of rectangle", "plexland.c", ctx->sphere, &ctx->sphere, &sph_flg)); 1414 PetscCall(PetscOptionsBool("-dm_landau_inflate", "With sphere, inflate for curved edges", "plexland.c", ctx->inflate, &ctx->inflate, &flg)); 1415 PetscCall(PetscOptionsReal("-dm_landau_e_radius", "Electron thermal velocity, used for circular meshes", "plexland.c", ctx->e_radius, &ctx->e_radius, &flg)); 1416 if (flg && !sph_flg) ctx->sphere = PETSC_TRUE; /* you gave me an e radius but did not set sphere, user error really */ 1417 if (!flg) ctx->e_radius = 1.5 * PetscSqrtReal(8 * ctx->k * ctx->thermal_temps[0] / ctx->masses[0] / PETSC_PI) / ctx->v_0; 1418 nt = LANDAU_MAX_GRIDS; 1419 PetscCall(PetscOptionsRealArray("-dm_landau_i_radius", "Ion thermal velocity, used for circular meshes", "plexland.c", ctx->i_radius, &nt, &flg)); 1420 if (flg && !sph_flg) ctx->sphere = PETSC_TRUE; 1421 if (!flg) { 1422 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 1423 } 1424 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); 1425 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]); 1426 /* processing options */ 1427 PetscCall(PetscOptionsBool("-dm_landau_gpu_assembly", "Assemble Jacobian on GPU", "plexland.c", ctx->gpu_assembly, &ctx->gpu_assembly, NULL)); 1428 if (ctx->deviceType == LANDAU_CPU || ctx->deviceType == LANDAU_KOKKOS) { // make Kokkos 1429 PetscCall(PetscOptionsBool("-dm_landau_coo_assembly", "Assemble Jacobian with Kokkos on 'device'", "plexland.c", ctx->coo_assembly, &ctx->coo_assembly, NULL)); 1430 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); 1431 } 1432 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)); 1433 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"); 1434 PetscCheck(!ctx->jacobian_field_major_order, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_jacobian_field_major_order DEPRECATED"); 1435 PetscOptionsEnd(); 1436 1437 for (ii = ctx->num_species; ii < LANDAU_MAX_SPECIES; ii++) ctx->masses[ii] = ctx->thermal_temps[ii] = ctx->charges[ii] = 0; 1438 if (ctx->verbose > 0) { 1439 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))); 1440 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))); 1441 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))); 1442 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], 1443 (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", 1444 ctx->batch_sz)); 1445 PetscCall(PetscPrintf(ctx->comm, "Domain radius (AMR levels) grid %d: %10.3e (%" PetscInt_FMT ") ", 0, (double)ctx->radius[0], ctx->numAMRRefine[0])); 1446 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])); 1447 PetscCall(PetscPrintf(ctx->comm, "\n")); 1448 if (ctx->jacobian_field_major_order) { 1449 PetscCall(PetscPrintf(ctx->comm, "Using field major order for GPU Jacobian\n")); 1450 } else { 1451 PetscCall(PetscPrintf(ctx->comm, "Using default Plex order for all matrices\n")); 1452 } 1453 } 1454 PetscCall(DMDestroy(&dummy)); 1455 { 1456 PetscMPIInt rank; 1457 PetscCallMPI(MPI_Comm_rank(ctx->comm, &rank)); 1458 ctx->stage = 0; 1459 PetscCall(PetscLogEventRegister("Landau Create", DM_CLASSID, &ctx->events[13])); /* 13 */ 1460 PetscCall(PetscLogEventRegister(" GPU ass. setup", DM_CLASSID, &ctx->events[2])); /* 2 */ 1461 PetscCall(PetscLogEventRegister(" Build matrix", DM_CLASSID, &ctx->events[12])); /* 12 */ 1462 PetscCall(PetscLogEventRegister(" Assembly maps", DM_CLASSID, &ctx->events[15])); /* 15 */ 1463 PetscCall(PetscLogEventRegister("Landau Mass mat", DM_CLASSID, &ctx->events[14])); /* 14 */ 1464 PetscCall(PetscLogEventRegister("Landau Operator", DM_CLASSID, &ctx->events[11])); /* 11 */ 1465 PetscCall(PetscLogEventRegister("Landau Jacobian", DM_CLASSID, &ctx->events[0])); /* 0 */ 1466 PetscCall(PetscLogEventRegister("Landau Mass", DM_CLASSID, &ctx->events[9])); /* 9 */ 1467 PetscCall(PetscLogEventRegister(" Preamble", DM_CLASSID, &ctx->events[10])); /* 10 */ 1468 PetscCall(PetscLogEventRegister(" static IP Data", DM_CLASSID, &ctx->events[7])); /* 7 */ 1469 PetscCall(PetscLogEventRegister(" dynamic IP-Jac", DM_CLASSID, &ctx->events[1])); /* 1 */ 1470 PetscCall(PetscLogEventRegister(" Kernel-init", DM_CLASSID, &ctx->events[3])); /* 3 */ 1471 PetscCall(PetscLogEventRegister(" Jac-f-df (GPU)", DM_CLASSID, &ctx->events[8])); /* 8 */ 1472 PetscCall(PetscLogEventRegister(" J Kernel (GPU)", DM_CLASSID, &ctx->events[4])); /* 4 */ 1473 PetscCall(PetscLogEventRegister(" M Kernel (GPU)", DM_CLASSID, &ctx->events[16])); /* 16 */ 1474 PetscCall(PetscLogEventRegister(" Copy to CPU", DM_CLASSID, &ctx->events[5])); /* 5 */ 1475 PetscCall(PetscLogEventRegister(" CPU assemble", DM_CLASSID, &ctx->events[6])); /* 6 */ 1476 1477 if (rank) { /* turn off output stuff for duplicate runs - do we need to add the prefix to all this? */ 1478 PetscCall(PetscOptionsClearValue(NULL, "-snes_converged_reason")); 1479 PetscCall(PetscOptionsClearValue(NULL, "-ksp_converged_reason")); 1480 PetscCall(PetscOptionsClearValue(NULL, "-snes_monitor")); 1481 PetscCall(PetscOptionsClearValue(NULL, "-ksp_monitor")); 1482 PetscCall(PetscOptionsClearValue(NULL, "-ts_monitor")); 1483 PetscCall(PetscOptionsClearValue(NULL, "-ts_view")); 1484 PetscCall(PetscOptionsClearValue(NULL, "-ts_adapt_monitor")); 1485 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_amr_dm_view")); 1486 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_amr_vec_view")); 1487 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mass_dm_view")); 1488 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mass_view")); 1489 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_jacobian_view")); 1490 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mat_view")); 1491 PetscCall(PetscOptionsClearValue(NULL, "-pc_bjkokkos_ksp_converged_reason")); 1492 PetscCall(PetscOptionsClearValue(NULL, "-pc_bjkokkos_ksp_monitor")); 1493 PetscCall(PetscOptionsClearValue(NULL, "-")); 1494 PetscCall(PetscOptionsClearValue(NULL, "-info")); 1495 } 1496 } 1497 PetscFunctionReturn(0); 1498 } 1499 1500 static PetscErrorCode CreateStaticGPUData(PetscInt dim, IS grid_batch_is_inv[], LandauCtx *ctx) 1501 { 1502 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 1503 PetscQuadrature quad; 1504 const PetscReal *quadWeights; 1505 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; 1506 PetscTabulation *Tf; 1507 PetscDS prob; 1508 1509 PetscFunctionBegin; 1510 PetscCall(DMGetDS(ctx->plex[0], &prob)); // same DS for all grids 1511 PetscCall(PetscDSGetTabulation(prob, &Tf)); // Bf, &Df same for all grids 1512 /* DS, Tab and quad is same on all grids */ 1513 PetscCheck(ctx->plex[0], ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 1514 PetscCall(PetscFEGetQuadrature(ctx->fe[0], &quad)); 1515 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, &quadWeights)); 1516 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); 1517 /* setup each grid */ 1518 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1519 PetscInt cStart, cEnd; 1520 PetscCheck(ctx->plex[grid] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 1521 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1522 numCells[grid] = cEnd - cStart; // grids can have different topology 1523 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 1524 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 1525 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 1526 ncellsTot += numCells[grid]; 1527 } 1528 /* create GPU assembly data */ 1529 if (ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 1530 PetscContainer container; 1531 PetscScalar *elemMatrix, *elMat; 1532 pointInterpolationP4est(*pointMaps)[LANDAU_MAX_Q_FACE]; 1533 P4estVertexMaps *maps; 1534 const PetscInt *plex_batch = NULL, Nb = Nq, elMatSz = Nq * Nq * ctx->num_species * ctx->num_species; // tensor elements; 1535 LandauIdx *coo_elem_offsets = NULL, *coo_elem_fullNb = NULL, (*coo_elem_point_offsets)[LANDAU_MAX_NQ + 1] = NULL; 1536 /* create GPU asssembly data */ 1537 PetscCall(PetscInfo(ctx->plex[0], "Make GPU maps %d\n", 1)); 1538 PetscCall(PetscLogEventBegin(ctx->events[2], 0, 0, 0, 0)); 1539 PetscCall(PetscMalloc(sizeof(*maps) * ctx->num_grids, &maps)); 1540 PetscCall(PetscMalloc(sizeof(*pointMaps) * MAP_BF_SIZE, &pointMaps)); 1541 PetscCall(PetscMalloc(sizeof(*elemMatrix) * elMatSz, &elemMatrix)); 1542 1543 if (ctx->coo_assembly) { // setup COO assembly -- put COO metadata directly in ctx->SData_d 1544 PetscCall(PetscMalloc3(ncellsTot + 1, &coo_elem_offsets, ncellsTot, &coo_elem_fullNb, ncellsTot, &coo_elem_point_offsets)); // array of integer pointers 1545 coo_elem_offsets[0] = 0; // finish later 1546 PetscCall(PetscInfo(ctx->plex[0], "COO initialization, %" PetscInt_FMT " cells\n", ncellsTot)); 1547 ctx->SData_d.coo_n_cellsTot = ncellsTot; 1548 ctx->SData_d.coo_elem_offsets = (void *)coo_elem_offsets; 1549 ctx->SData_d.coo_elem_fullNb = (void *)coo_elem_fullNb; 1550 ctx->SData_d.coo_elem_point_offsets = (void *)coo_elem_point_offsets; 1551 } else { 1552 ctx->SData_d.coo_elem_offsets = ctx->SData_d.coo_elem_fullNb = NULL; 1553 ctx->SData_d.coo_elem_point_offsets = NULL; 1554 ctx->SData_d.coo_n_cellsTot = 0; 1555 } 1556 1557 ctx->SData_d.coo_max_fullnb = 0; 1558 for (PetscInt grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1559 PetscInt cStart, cEnd, Nfloc = Nf[grid], totDim = Nfloc * Nq; 1560 if (grid_batch_is_inv[grid]) PetscCall(ISGetIndices(grid_batch_is_inv[grid], &plex_batch)); 1561 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1562 // make maps 1563 maps[grid].d_self = NULL; 1564 maps[grid].num_elements = numCells[grid]; 1565 maps[grid].num_face = (PetscInt)(pow(Nq, 1. / ((double)dim)) + .001); // Q 1566 maps[grid].num_face = (PetscInt)(pow(maps[grid].num_face, (double)(dim - 1)) + .001); // Q^2 1567 maps[grid].num_reduced = 0; 1568 maps[grid].deviceType = ctx->deviceType; 1569 maps[grid].numgrids = ctx->num_grids; 1570 // count reduced and get 1571 PetscCall(PetscMalloc(maps[grid].num_elements * sizeof(*maps[grid].gIdx), &maps[grid].gIdx)); 1572 for (int ej = cStart, eidx = 0; ej < cEnd; ++ej, ++eidx, glb_elem_idx++) { 1573 if (coo_elem_offsets) coo_elem_offsets[glb_elem_idx + 1] = coo_elem_offsets[glb_elem_idx]; // start with last one, then add 1574 for (int fieldA = 0; fieldA < Nf[grid]; fieldA++) { 1575 int fullNb = 0; 1576 for (int q = 0; q < Nb; ++q) { 1577 PetscInt numindices, *indices; 1578 PetscScalar *valuesOrig = elMat = elemMatrix; 1579 PetscCall(PetscArrayzero(elMat, totDim * totDim)); 1580 elMat[(fieldA * Nb + q) * totDim + fieldA * Nb + q] = 1; 1581 PetscCall(DMPlexGetClosureIndices(ctx->plex[grid], section[grid], globsection[grid], ej, PETSC_TRUE, &numindices, &indices, NULL, (PetscScalar **)&elMat)); 1582 for (PetscInt f = 0; f < numindices; ++f) { // look for a non-zero on the diagonal 1583 if (PetscAbs(PetscRealPart(elMat[f * numindices + f])) > PETSC_MACHINE_EPSILON) { 1584 // found it 1585 if (PetscAbs(PetscRealPart(elMat[f * numindices + f] - 1.)) < PETSC_MACHINE_EPSILON) { // normal vertex 1.0 1586 if (plex_batch) { 1587 maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)plex_batch[indices[f]]; 1588 } else { 1589 maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)indices[f]; 1590 } 1591 fullNb++; 1592 } else { //found a constraint 1593 int jj = 0; 1594 PetscReal sum = 0; 1595 const PetscInt ff = f; 1596 maps[grid].gIdx[eidx][fieldA][q] = -maps[grid].num_reduced - 1; // store (-)index: id = -(idx+1): idx = -id - 1 1597 1598 do { // constraints are continuous in Plex - exploit that here 1599 int ii; // get 'scale' 1600 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 1601 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 1602 pointMaps[maps[grid].num_reduced][jj].scale += PetscRealPart(elMat[f * numindices + ff + ii]); 1603 } 1604 } 1605 sum += pointMaps[maps[grid].num_reduced][jj].scale; // diagnostic 1606 // get 'gid' 1607 if (pointMaps[maps[grid].num_reduced][jj].scale == 0) pointMaps[maps[grid].num_reduced][jj].gid = -1; // 3D has Q and Q^2 interps 1608 else { 1609 if (plex_batch) { 1610 pointMaps[maps[grid].num_reduced][jj].gid = plex_batch[indices[f]]; 1611 } else { 1612 pointMaps[maps[grid].num_reduced][jj].gid = indices[f]; 1613 } 1614 fullNb++; 1615 } 1616 } while (++jj < maps[grid].num_face && ++f < numindices); // jj is incremented if we hit the end 1617 while (jj < maps[grid].num_face) { 1618 pointMaps[maps[grid].num_reduced][jj].scale = 0; 1619 pointMaps[maps[grid].num_reduced][jj].gid = -1; 1620 jj++; 1621 } 1622 if (PetscAbs(sum - 1.0) > 10 * PETSC_MACHINE_EPSILON) { // debug 1623 int d, f; 1624 PetscReal tmp = 0; 1625 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)); 1626 for (d = 0, tmp = 0; d < numindices; ++d) { 1627 if (tmp != 0 && PetscAbs(tmp - 1.0) > 10 * PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "%3d) %3" PetscInt_FMT ": ", d, indices[d])); 1628 for (f = 0; f < numindices; ++f) tmp += PetscRealPart(elMat[d * numindices + f]); 1629 if (tmp != 0) PetscCall(PetscPrintf(ctx->comm, " | %22.16e\n", (double)tmp)); 1630 } 1631 } 1632 maps[grid].num_reduced++; 1633 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); 1634 } 1635 break; 1636 } 1637 } 1638 // cleanup 1639 PetscCall(DMPlexRestoreClosureIndices(ctx->plex[grid], section[grid], globsection[grid], ej, PETSC_TRUE, &numindices, &indices, NULL, (PetscScalar **)&elMat)); 1640 if (elMat != valuesOrig) PetscCall(DMRestoreWorkArray(ctx->plex[grid], numindices * numindices, MPIU_SCALAR, &elMat)); 1641 } 1642 if (ctx->coo_assembly) { // setup COO assembly 1643 coo_elem_offsets[glb_elem_idx + 1] += fullNb * fullNb; // one species block, adds a block for each species, on this element in this grid 1644 if (fieldA == 0) { // cache full Nb for this element, on this grid per species 1645 coo_elem_fullNb[glb_elem_idx] = fullNb; 1646 if (fullNb > ctx->SData_d.coo_max_fullnb) ctx->SData_d.coo_max_fullnb = fullNb; 1647 } 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); 1648 } 1649 } // field 1650 } // cell 1651 // allocate and copy point data maps[grid].gIdx[eidx][field][q] 1652 PetscCall(PetscMalloc(maps[grid].num_reduced * sizeof(*maps[grid].c_maps), &maps[grid].c_maps)); 1653 for (int ej = 0; ej < maps[grid].num_reduced; ++ej) { 1654 for (int q = 0; q < maps[grid].num_face; ++q) { 1655 maps[grid].c_maps[ej][q].scale = pointMaps[ej][q].scale; 1656 maps[grid].c_maps[ej][q].gid = pointMaps[ej][q].gid; 1657 } 1658 } 1659 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1660 if (ctx->deviceType == LANDAU_KOKKOS) { 1661 PetscCall(LandauKokkosCreateMatMaps(maps, pointMaps, Nf, Nq, grid)); // imples Kokkos does 1662 } // else could be CUDA 1663 #endif 1664 #if defined(PETSC_HAVE_CUDA) 1665 if (ctx->deviceType == LANDAU_CUDA) PetscCall(LandauCUDACreateMatMaps(maps, pointMaps, Nf, Nq, grid)); 1666 #endif 1667 if (plex_batch) { 1668 PetscCall(ISRestoreIndices(grid_batch_is_inv[grid], &plex_batch)); 1669 PetscCall(ISDestroy(&grid_batch_is_inv[grid])); // we are done with this 1670 } 1671 } /* grids */ 1672 // finish COO 1673 if (ctx->coo_assembly) { // setup COO assembly 1674 PetscInt *oor, *ooc; 1675 ctx->SData_d.coo_size = coo_elem_offsets[ncellsTot] * ctx->batch_sz; 1676 PetscCall(PetscMalloc2(ctx->SData_d.coo_size, &oor, ctx->SData_d.coo_size, &ooc)); 1677 for (int i = 0; i < ctx->SData_d.coo_size; i++) oor[i] = ooc[i] = -1; 1678 // get 1679 for (int grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1680 for (int ej = 0; ej < numCells[grid]; ++ej, glb_elem_idx++) { 1681 const int fullNb = coo_elem_fullNb[glb_elem_idx]; 1682 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 1683 coo_elem_point_offsets[glb_elem_idx][0] = 0; 1684 for (int f = 0, cnt2 = 0; f < Nb; f++) { 1685 int idx = Idxs[f]; 1686 coo_elem_point_offsets[glb_elem_idx][f + 1] = coo_elem_point_offsets[glb_elem_idx][f]; // start at last 1687 if (idx >= 0) { 1688 cnt2++; 1689 coo_elem_point_offsets[glb_elem_idx][f + 1]++; // inc 1690 } else { 1691 idx = -idx - 1; 1692 for (int q = 0; q < maps[grid].num_face; q++) { 1693 if (maps[grid].c_maps[idx][q].gid < 0) break; 1694 cnt2++; 1695 coo_elem_point_offsets[glb_elem_idx][f + 1]++; // inc 1696 } 1697 } 1698 PetscCheck(cnt2 <= fullNb, PETSC_COMM_SELF, PETSC_ERR_PLIB, "wrong count %d < %d", fullNb, cnt2); 1699 } 1700 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); 1701 } 1702 } 1703 // set 1704 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 1705 for (int grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1706 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 1707 for (int ej = 0; ej < numCells[grid]; ++ej, glb_elem_idx++) { 1708 const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb; 1709 // set (i,j) 1710 for (int fieldA = 0; fieldA < Nf[grid]; fieldA++) { 1711 const LandauIdx *const Idxs = &maps[grid].gIdx[ej][fieldA][0]; 1712 int rows[LANDAU_MAX_Q_FACE], cols[LANDAU_MAX_Q_FACE]; 1713 for (int f = 0; f < Nb; ++f) { 1714 const int nr = coo_elem_point_offsets[glb_elem_idx][f + 1] - coo_elem_point_offsets[glb_elem_idx][f]; 1715 if (nr == 1) rows[0] = Idxs[f]; 1716 else { 1717 const int idx = -Idxs[f] - 1; 1718 for (int q = 0; q < nr; q++) rows[q] = maps[grid].c_maps[idx][q].gid; 1719 } 1720 for (int g = 0; g < Nb; ++g) { 1721 const int nc = coo_elem_point_offsets[glb_elem_idx][g + 1] - coo_elem_point_offsets[glb_elem_idx][g]; 1722 if (nc == 1) cols[0] = Idxs[g]; 1723 else { 1724 const int idx = -Idxs[g] - 1; 1725 for (int q = 0; q < nc; q++) cols[q] = maps[grid].c_maps[idx][q].gid; 1726 } 1727 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]; 1728 for (int q = 0, idx = idx0; q < nr; q++) { 1729 for (int d = 0; d < nc; d++, idx++) { 1730 oor[idx] = rows[q] + moffset; 1731 ooc[idx] = cols[d] + moffset; 1732 } 1733 } 1734 } 1735 } 1736 } 1737 } // cell 1738 } // grid 1739 } // batch 1740 PetscCall(MatSetPreallocationCOO(ctx->J, ctx->SData_d.coo_size, oor, ooc)); 1741 PetscCall(PetscFree2(oor, ooc)); 1742 } 1743 PetscCall(PetscFree(pointMaps)); 1744 PetscCall(PetscFree(elemMatrix)); 1745 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 1746 PetscCall(PetscContainerSetPointer(container, (void *)maps)); 1747 PetscCall(PetscContainerSetUserDestroy(container, LandauGPUMapsDestroy)); 1748 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "assembly_maps", (PetscObject)container)); 1749 PetscCall(PetscContainerDestroy(&container)); 1750 PetscCall(PetscLogEventEnd(ctx->events[2], 0, 0, 0, 0)); 1751 } // end GPU assembly 1752 { /* create static point data, Jacobian called first, only one vertex copy */ 1753 PetscReal *invJe, *ww, *xx, *yy, *zz = NULL, *invJ_a; 1754 PetscInt outer_ipidx, outer_ej, grid, nip_glb = 0; 1755 PetscFE fe; 1756 const PetscInt Nb = Nq; 1757 PetscCall(PetscLogEventBegin(ctx->events[7], 0, 0, 0, 0)); 1758 PetscCall(PetscInfo(ctx->plex[0], "Initialize static data\n")); 1759 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) nip_glb += Nq * numCells[grid]; 1760 /* collect f data, first time is for Jacobian, but make mass now */ 1761 if (ctx->verbose > 0) { 1762 PetscInt ncells = 0, N; 1763 PetscCall(MatGetSize(ctx->J, &N, NULL)); 1764 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) ncells += numCells[grid]; 1765 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, 1766 ctx->num_species, Nb, dim, N)); 1767 } 1768 PetscCall(PetscMalloc4(nip_glb, &ww, nip_glb, &xx, nip_glb, &yy, nip_glb * dim * dim, &invJ_a)); 1769 if (dim == 3) PetscCall(PetscMalloc1(nip_glb, &zz)); 1770 if (ctx->use_energy_tensor_trick) { 1771 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, PETSC_FALSE, NULL, PETSC_DECIDE, &fe)); 1772 PetscCall(PetscObjectSetName((PetscObject)fe, "energy")); 1773 } 1774 /* init each grids static data - no batch */ 1775 for (grid = 0, outer_ipidx = 0, outer_ej = 0; grid < ctx->num_grids; grid++) { // OpenMP (once) 1776 Vec v2_2 = NULL; // projected function: v^2/2 for non-relativistic, gamma... for relativistic 1777 PetscSection e_section; 1778 DM dmEnergy; 1779 PetscInt cStart, cEnd, ej; 1780 1781 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1782 // prep energy trick, get v^2 / 2 vector 1783 if (ctx->use_energy_tensor_trick) { 1784 PetscErrorCode (*energyf[1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *) = {ctx->use_relativistic_corrections ? gamma_m1_f : energy_f}; 1785 Vec glob_v2; 1786 PetscReal *c2_0[1], data[1] = {PetscSqr(C_0(ctx->v_0))}; 1787 1788 PetscCall(DMClone(ctx->plex[grid], &dmEnergy)); 1789 PetscCall(PetscObjectSetName((PetscObject)dmEnergy, "energy")); 1790 PetscCall(DMSetField(dmEnergy, 0, NULL, (PetscObject)fe)); 1791 PetscCall(DMCreateDS(dmEnergy)); 1792 PetscCall(DMGetSection(dmEnergy, &e_section)); 1793 PetscCall(DMGetGlobalVector(dmEnergy, &glob_v2)); 1794 PetscCall(PetscObjectSetName((PetscObject)glob_v2, "trick")); 1795 c2_0[0] = &data[0]; 1796 PetscCall(DMProjectFunction(dmEnergy, 0., energyf, (void **)c2_0, INSERT_ALL_VALUES, glob_v2)); 1797 PetscCall(DMGetLocalVector(dmEnergy, &v2_2)); 1798 PetscCall(VecZeroEntries(v2_2)); /* zero BCs so don't set */ 1799 PetscCall(DMGlobalToLocalBegin(dmEnergy, glob_v2, INSERT_VALUES, v2_2)); 1800 PetscCall(DMGlobalToLocalEnd(dmEnergy, glob_v2, INSERT_VALUES, v2_2)); 1801 PetscCall(DMViewFromOptions(dmEnergy, NULL, "-energy_dm_view")); 1802 PetscCall(VecViewFromOptions(glob_v2, NULL, "-energy_vec_view")); 1803 PetscCall(DMRestoreGlobalVector(dmEnergy, &glob_v2)); 1804 } 1805 /* append part of the IP data for each grid */ 1806 for (ej = 0; ej < numCells[grid]; ++ej, ++outer_ej) { 1807 PetscScalar *coefs = NULL; 1808 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); 1809 invJe = invJ_a + outer_ej * Nq * dim * dim; 1810 PetscCall(DMPlexComputeCellGeometryFEM(ctx->plex[grid], ej + cStart, quad, vj, Jdummy, invJe, detJj)); 1811 if (ctx->use_energy_tensor_trick) PetscCall(DMPlexVecGetClosure(dmEnergy, e_section, v2_2, ej + cStart, NULL, &coefs)); 1812 /* create static point data */ 1813 for (PetscInt qj = 0; qj < Nq; qj++, outer_ipidx++) { 1814 const PetscInt gidx = outer_ipidx; 1815 const PetscReal *invJ = &invJe[qj * dim * dim]; 1816 ww[gidx] = detJj[qj] * quadWeights[qj]; 1817 if (dim == 2) ww[gidx] *= vj[qj * dim + 0]; /* cylindrical coordinate, w/o 2pi */ 1818 // get xx, yy, zz 1819 if (ctx->use_energy_tensor_trick) { 1820 double refSpaceDer[3], eGradPhi[3]; 1821 const PetscReal *const DD = Tf[0]->T[1]; 1822 const PetscReal *Dq = &DD[qj * Nb * dim]; 1823 for (int d = 0; d < 3; ++d) refSpaceDer[d] = eGradPhi[d] = 0.0; 1824 for (int b = 0; b < Nb; ++b) { 1825 for (int d = 0; d < dim; ++d) refSpaceDer[d] += Dq[b * dim + d] * PetscRealPart(coefs[b]); 1826 } 1827 xx[gidx] = 1e10; 1828 if (ctx->use_relativistic_corrections) { 1829 double dg2_c2 = 0; 1830 //for (int d = 0; d < dim; ++d) refSpaceDer[d] *= c02; 1831 for (int d = 0; d < dim; ++d) dg2_c2 += PetscSqr(refSpaceDer[d]); 1832 dg2_c2 *= (double)c02; 1833 if (dg2_c2 >= .999) { 1834 xx[gidx] = vj[qj * dim + 0]; /* coordinate */ 1835 yy[gidx] = vj[qj * dim + 1]; 1836 if (dim == 3) zz[gidx] = vj[qj * dim + 2]; 1837 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])); 1838 } else { 1839 PetscReal fact = c02 / PetscSqrtReal(1. - dg2_c2); 1840 for (int d = 0; d < dim; ++d) refSpaceDer[d] *= fact; 1841 // could test with other point u' that (grad - grad') * U (refSpaceDer, refSpaceDer') == 0 1842 } 1843 } 1844 if (xx[gidx] == 1e10) { 1845 for (int d = 0; d < dim; ++d) { 1846 for (int e = 0; e < dim; ++e) eGradPhi[d] += invJ[e * dim + d] * refSpaceDer[e]; 1847 } 1848 xx[gidx] = eGradPhi[0]; 1849 yy[gidx] = eGradPhi[1]; 1850 if (dim == 3) zz[gidx] = eGradPhi[2]; 1851 } 1852 } else { 1853 xx[gidx] = vj[qj * dim + 0]; /* coordinate */ 1854 yy[gidx] = vj[qj * dim + 1]; 1855 if (dim == 3) zz[gidx] = vj[qj * dim + 2]; 1856 } 1857 } /* q */ 1858 if (ctx->use_energy_tensor_trick) PetscCall(DMPlexVecRestoreClosure(dmEnergy, e_section, v2_2, ej + cStart, NULL, &coefs)); 1859 } /* ej */ 1860 if (ctx->use_energy_tensor_trick) { 1861 PetscCall(DMRestoreLocalVector(dmEnergy, &v2_2)); 1862 PetscCall(DMDestroy(&dmEnergy)); 1863 } 1864 } /* grid */ 1865 if (ctx->use_energy_tensor_trick) PetscCall(PetscFEDestroy(&fe)); 1866 /* cache static data */ 1867 if (ctx->deviceType == LANDAU_CUDA || ctx->deviceType == LANDAU_KOKKOS) { 1868 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_KOKKOS_KERNELS) 1869 PetscReal invMass[LANDAU_MAX_SPECIES], nu_alpha[LANDAU_MAX_SPECIES], nu_beta[LANDAU_MAX_SPECIES]; 1870 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1871 for (PetscInt ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++) { 1872 invMass[ii] = ctx->m_0 / ctx->masses[ii]; 1873 nu_alpha[ii] = PetscSqr(ctx->charges[ii] / ctx->m_0) * ctx->m_0 / ctx->masses[ii]; 1874 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); 1875 } 1876 } 1877 if (ctx->deviceType == LANDAU_CUDA) { 1878 #if defined(PETSC_HAVE_CUDA) 1879 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)); 1880 #else 1881 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type cuda not built"); 1882 #endif 1883 } else if (ctx->deviceType == LANDAU_KOKKOS) { 1884 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1885 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)); 1886 #else 1887 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type kokkos not built"); 1888 #endif 1889 } 1890 #endif 1891 /* free */ 1892 PetscCall(PetscFree4(ww, xx, yy, invJ_a)); 1893 if (dim == 3) PetscCall(PetscFree(zz)); 1894 } else { /* CPU version, just copy in, only use part */ 1895 ctx->SData_d.w = (void *)ww; 1896 ctx->SData_d.x = (void *)xx; 1897 ctx->SData_d.y = (void *)yy; 1898 ctx->SData_d.z = (void *)zz; 1899 ctx->SData_d.invJ = (void *)invJ_a; 1900 } 1901 PetscCall(PetscLogEventEnd(ctx->events[7], 0, 0, 0, 0)); 1902 } // initialize 1903 PetscFunctionReturn(0); 1904 } 1905 1906 /* < v, u > */ 1907 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[]) 1908 { 1909 g0[0] = 1.; 1910 } 1911 1912 /* < v, u > */ 1913 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[]) 1914 { 1915 static double ttt = 1e-12; 1916 g0[0] = ttt++; 1917 } 1918 1919 /* < v, u > */ 1920 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[]) 1921 { 1922 g0[0] = 2. * PETSC_PI * x[0]; 1923 } 1924 1925 static PetscErrorCode MatrixNfDestroy(void *ptr) 1926 { 1927 PetscInt *nf = (PetscInt *)ptr; 1928 PetscFunctionBegin; 1929 PetscCall(PetscFree(nf)); 1930 PetscFunctionReturn(0); 1931 } 1932 1933 /* 1934 LandauCreateJacobianMatrix - creates ctx->J with without real data. Hard to keep sparse. 1935 - Like DMPlexLandauCreateMassMatrix. Should remove one and combine 1936 - has old support for field major ordering 1937 */ 1938 static PetscErrorCode LandauCreateJacobianMatrix(MPI_Comm comm, Vec X, IS grid_batch_is_inv[LANDAU_MAX_GRIDS], LandauCtx *ctx) 1939 { 1940 PetscInt *idxs = NULL; 1941 Mat subM[LANDAU_MAX_GRIDS]; 1942 1943 PetscFunctionBegin; 1944 if (!ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 1945 PetscFunctionReturn(0); 1946 } 1947 // get the RCM for this grid to separate out species into blocks -- create 'idxs' & 'ctx->batch_is' -- not used 1948 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) PetscCall(PetscMalloc1(ctx->mat_offset[ctx->num_grids] * ctx->batch_sz, &idxs)); 1949 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1950 const PetscInt *values, n = ctx->mat_offset[grid + 1] - ctx->mat_offset[grid]; 1951 Mat gMat; 1952 DM massDM; 1953 PetscDS prob; 1954 Vec tvec; 1955 // get "mass" matrix for reordering 1956 PetscCall(DMClone(ctx->plex[grid], &massDM)); 1957 PetscCall(DMCopyFields(ctx->plex[grid], massDM)); 1958 PetscCall(DMCreateDS(massDM)); 1959 PetscCall(DMGetDS(massDM, &prob)); 1960 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)); 1961 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); // this trick is need to both sparsify the matrix and avoid runtime error 1962 PetscCall(DMCreateMatrix(massDM, &gMat)); 1963 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 1964 PetscCall(MatSetOption(gMat, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 1965 PetscCall(MatSetOption(gMat, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 1966 PetscCall(DMCreateLocalVector(ctx->plex[grid], &tvec)); 1967 PetscCall(DMPlexSNESComputeJacobianFEM(massDM, tvec, gMat, gMat, ctx)); 1968 PetscCall(MatViewFromOptions(gMat, NULL, "-dm_landau_reorder_mat_view")); 1969 PetscCall(DMDestroy(&massDM)); 1970 PetscCall(VecDestroy(&tvec)); 1971 subM[grid] = gMat; 1972 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 1973 MatOrderingType rtype = MATORDERINGRCM; 1974 IS isrow, isicol; 1975 PetscCall(MatGetOrdering(gMat, rtype, &isrow, &isicol)); 1976 PetscCall(ISInvertPermutation(isrow, PETSC_DECIDE, &grid_batch_is_inv[grid])); 1977 PetscCall(ISGetIndices(isrow, &values)); 1978 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 1979 #if !defined(LANDAU_SPECIES_MAJOR) 1980 PetscInt N = ctx->mat_offset[ctx->num_grids], n0 = ctx->mat_offset[grid] + b_id * N; 1981 for (int ii = 0; ii < n; ++ii) idxs[n0 + ii] = values[ii] + n0; 1982 #else 1983 PetscInt n0 = ctx->mat_offset[grid] * ctx->batch_sz + b_id * n; 1984 for (int ii = 0; ii < n; ++ii) idxs[n0 + ii] = values[ii] + n0; 1985 #endif 1986 } 1987 PetscCall(ISRestoreIndices(isrow, &values)); 1988 PetscCall(ISDestroy(&isrow)); 1989 PetscCall(ISDestroy(&isicol)); 1990 } 1991 } 1992 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)); 1993 // get a block matrix 1994 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1995 Mat B = subM[grid]; 1996 PetscInt nloc, nzl, *colbuf, row, COL_BF_SIZE = 1024; 1997 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 1998 PetscCall(MatGetSize(B, &nloc, NULL)); 1999 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2000 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2001 const PetscInt *cols; 2002 const PetscScalar *vals; 2003 for (int i = 0; i < nloc; i++) { 2004 PetscCall(MatGetRow(B, i, &nzl, NULL, NULL)); 2005 if (nzl > COL_BF_SIZE) { 2006 PetscCall(PetscFree(colbuf)); 2007 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)); 2008 COL_BF_SIZE = nzl; 2009 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 2010 } 2011 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 2012 for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset; 2013 row = i + moffset; 2014 PetscCall(MatSetValues(ctx->J, 1, &row, nzl, colbuf, vals, INSERT_VALUES)); 2015 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 2016 } 2017 } 2018 PetscCall(PetscFree(colbuf)); 2019 } 2020 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(MatDestroy(&subM[grid])); 2021 PetscCall(MatAssemblyBegin(ctx->J, MAT_FINAL_ASSEMBLY)); 2022 PetscCall(MatAssemblyEnd(ctx->J, MAT_FINAL_ASSEMBLY)); 2023 2024 // debug 2025 PetscCall(MatViewFromOptions(ctx->J, NULL, "-dm_landau_mat_view")); 2026 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 2027 Mat mat_block_order; 2028 PetscCall(MatCreateSubMatrix(ctx->J, ctx->batch_is, ctx->batch_is, MAT_INITIAL_MATRIX, &mat_block_order)); // use MatPermute 2029 PetscCall(MatViewFromOptions(mat_block_order, NULL, "-dm_landau_mat_view")); 2030 PetscCall(MatDestroy(&mat_block_order)); 2031 PetscCall(VecScatterCreate(X, ctx->batch_is, X, NULL, &ctx->plex_batch)); 2032 PetscCall(VecDuplicate(X, &ctx->work_vec)); 2033 } 2034 2035 PetscFunctionReturn(0); 2036 } 2037 2038 PetscErrorCode DMPlexLandauCreateMassMatrix(DM pack, Mat *Amat); 2039 /*@C 2040 DMPlexLandauCreateVelocitySpace - Create a DMPlex velocity space mesh 2041 2042 Collective on comm 2043 2044 Input Parameters: 2045 + comm - The MPI communicator 2046 . dim - velocity space dimension (2 for axisymmetric, 3 for full 3X + 3V solver) 2047 - prefix - prefix for options (not tested) 2048 2049 Output Parameter: 2050 . pack - The DM object representing the mesh 2051 + X - A vector (user destroys) 2052 - J - Optional matrix (object destroys) 2053 2054 Level: beginner 2055 2056 .keywords: mesh 2057 .seealso: `DMPlexCreate()`, `DMPlexLandauDestroyVelocitySpace()` 2058 @*/ 2059 PetscErrorCode DMPlexLandauCreateVelocitySpace(MPI_Comm comm, PetscInt dim, const char prefix[], Vec *X, Mat *J, DM *pack) 2060 { 2061 LandauCtx *ctx; 2062 Vec Xsub[LANDAU_MAX_GRIDS]; 2063 IS grid_batch_is_inv[LANDAU_MAX_GRIDS]; 2064 2065 PetscFunctionBegin; 2066 PetscCheck(dim == 2 || dim == 3, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Only 2D and 3D supported"); 2067 PetscCheck(LANDAU_DIM == dim, PETSC_COMM_SELF, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " != LANDAU_DIM %d", dim, LANDAU_DIM); 2068 PetscCall(PetscNew(&ctx)); 2069 ctx->comm = comm; /* used for diagnostics and global errors */ 2070 /* process options */ 2071 PetscCall(ProcessOptions(ctx, prefix)); 2072 if (dim == 2) ctx->use_relativistic_corrections = PETSC_FALSE; 2073 /* Create Mesh */ 2074 PetscCall(DMCompositeCreate(PETSC_COMM_SELF, pack)); 2075 PetscCall(PetscLogEventBegin(ctx->events[13], 0, 0, 0, 0)); 2076 PetscCall(PetscLogEventBegin(ctx->events[15], 0, 0, 0, 0)); 2077 PetscCall(LandauDMCreateVMeshes(PETSC_COMM_SELF, dim, prefix, ctx, *pack)); // creates grids (Forest of AMR) 2078 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2079 /* create FEM */ 2080 PetscCall(SetupDS(ctx->plex[grid], dim, grid, ctx)); 2081 /* set initial state */ 2082 PetscCall(DMCreateGlobalVector(ctx->plex[grid], &Xsub[grid])); 2083 PetscCall(PetscObjectSetName((PetscObject)Xsub[grid], "u_orig")); 2084 /* initial static refinement, no solve */ 2085 PetscCall(LandauSetInitialCondition(ctx->plex[grid], Xsub[grid], grid, 0, 1, ctx)); 2086 /* forest refinement - forest goes in (if forest), plex comes out */ 2087 if (ctx->use_p4est) { 2088 DM plex; 2089 PetscCall(adapt(grid, ctx, &Xsub[grid])); // forest goes in, plex comes out 2090 PetscCall(DMViewFromOptions(ctx->plex[grid], NULL, "-dm_landau_amr_dm_view")); // need to differentiate - todo 2091 PetscCall(VecViewFromOptions(Xsub[grid], NULL, "-dm_landau_amr_vec_view")); 2092 // convert to plex, all done with this level 2093 PetscCall(DMConvert(ctx->plex[grid], DMPLEX, &plex)); 2094 PetscCall(DMDestroy(&ctx->plex[grid])); 2095 ctx->plex[grid] = plex; 2096 } 2097 #if !defined(LANDAU_SPECIES_MAJOR) 2098 PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); 2099 #else 2100 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 2101 PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); 2102 } 2103 #endif 2104 PetscCall(DMSetApplicationContext(ctx->plex[grid], ctx)); 2105 } 2106 #if !defined(LANDAU_SPECIES_MAJOR) 2107 // stack the batched DMs, could do it all here!!! b_id=0 2108 for (PetscInt b_id = 1; b_id < ctx->batch_sz; b_id++) { 2109 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); 2110 } 2111 #endif 2112 // create ctx->mat_offset 2113 ctx->mat_offset[0] = 0; 2114 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2115 PetscInt n; 2116 PetscCall(VecGetLocalSize(Xsub[grid], &n)); 2117 ctx->mat_offset[grid + 1] = ctx->mat_offset[grid] + n; 2118 } 2119 // creat DM & Jac 2120 PetscCall(DMSetApplicationContext(*pack, ctx)); 2121 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); 2122 PetscCall(DMCreateMatrix(*pack, &ctx->J)); 2123 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 2124 PetscCall(MatSetOption(ctx->J, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 2125 PetscCall(MatSetOption(ctx->J, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 2126 PetscCall(PetscObjectSetName((PetscObject)ctx->J, "Jac")); 2127 // construct initial conditions in X 2128 PetscCall(DMCreateGlobalVector(*pack, X)); 2129 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2130 PetscInt n; 2131 PetscCall(VecGetLocalSize(Xsub[grid], &n)); 2132 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2133 PetscScalar const *values; 2134 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2135 PetscCall(LandauSetInitialCondition(ctx->plex[grid], Xsub[grid], grid, b_id, ctx->batch_sz, ctx)); 2136 PetscCall(VecGetArrayRead(Xsub[grid], &values)); // Drop whole grid in Plex ordering 2137 for (int i = 0, idx = moffset; i < n; i++, idx++) PetscCall(VecSetValue(*X, idx, values[i], INSERT_VALUES)); 2138 PetscCall(VecRestoreArrayRead(Xsub[grid], &values)); 2139 } 2140 } 2141 // cleanup 2142 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(VecDestroy(&Xsub[grid])); 2143 /* check for correct matrix type */ 2144 if (ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 2145 PetscBool flg; 2146 if (ctx->deviceType == LANDAU_CUDA) { 2147 PetscCall(PetscObjectTypeCompareAny((PetscObject)ctx->J, &flg, MATSEQAIJCUSPARSE, MATMPIAIJCUSPARSE, MATAIJCUSPARSE, "")); 2148 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'"); 2149 } else if (ctx->deviceType == LANDAU_KOKKOS) { 2150 PetscCall(PetscObjectTypeCompareAny((PetscObject)ctx->J, &flg, MATSEQAIJKOKKOS, MATMPIAIJKOKKOS, MATAIJKOKKOS, "")); 2151 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 2152 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'"); 2153 #else 2154 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'"); 2155 #endif 2156 } 2157 } 2158 PetscCall(PetscLogEventEnd(ctx->events[15], 0, 0, 0, 0)); 2159 2160 // create field major ordering 2161 ctx->work_vec = NULL; 2162 ctx->plex_batch = NULL; 2163 ctx->batch_is = NULL; 2164 for (int i = 0; i < LANDAU_MAX_GRIDS; i++) grid_batch_is_inv[i] = NULL; 2165 PetscCall(PetscLogEventBegin(ctx->events[12], 0, 0, 0, 0)); 2166 PetscCall(LandauCreateJacobianMatrix(comm, *X, grid_batch_is_inv, ctx)); 2167 PetscCall(PetscLogEventEnd(ctx->events[12], 0, 0, 0, 0)); 2168 2169 // create AMR GPU assembly maps and static GPU data 2170 PetscCall(CreateStaticGPUData(dim, grid_batch_is_inv, ctx)); 2171 2172 PetscCall(PetscLogEventEnd(ctx->events[13], 0, 0, 0, 0)); 2173 2174 // create mass matrix 2175 PetscCall(DMPlexLandauCreateMassMatrix(*pack, NULL)); 2176 2177 if (J) *J = ctx->J; 2178 2179 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 2180 PetscContainer container; 2181 // cache ctx for KSP with batch/field major Jacobian ordering -ksp_type gmres/etc -dm_landau_jacobian_field_major_order 2182 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2183 PetscCall(PetscContainerSetPointer(container, (void *)ctx)); 2184 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "LandauCtx", (PetscObject)container)); 2185 PetscCall(PetscContainerDestroy(&container)); 2186 // batch solvers need to map -- can batch solvers work 2187 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2188 PetscCall(PetscContainerSetPointer(container, (void *)ctx->plex_batch)); 2189 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "plex_batch_is", (PetscObject)container)); 2190 PetscCall(PetscContainerDestroy(&container)); 2191 } 2192 // for batch solvers 2193 { 2194 PetscContainer container; 2195 PetscInt *pNf; 2196 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2197 PetscCall(PetscMalloc1(sizeof(*pNf), &pNf)); 2198 *pNf = ctx->batch_sz; 2199 PetscCall(PetscContainerSetPointer(container, (void *)pNf)); 2200 PetscCall(PetscContainerSetUserDestroy(container, MatrixNfDestroy)); 2201 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "batch size", (PetscObject)container)); 2202 PetscCall(PetscContainerDestroy(&container)); 2203 } 2204 2205 PetscFunctionReturn(0); 2206 } 2207 2208 /*@ 2209 DMPlexLandauAccess - Access to the distribution function with user callback 2210 2211 Collective on dm 2212 2213 Input Parameters: 2214 . pack - the DMComposite 2215 + func - call back function 2216 . user_ctx - user context 2217 2218 Input/Output Parameters: 2219 + X - Vector to data to 2220 2221 Level: advanced 2222 2223 .keywords: mesh 2224 .seealso: `DMPlexLandauCreateVelocitySpace()` 2225 @*/ 2226 PetscErrorCode DMPlexLandauAccess(DM pack, Vec X, PetscErrorCode (*func)(DM, Vec, PetscInt, PetscInt, PetscInt, void *), void *user_ctx) 2227 { 2228 LandauCtx *ctx; 2229 PetscFunctionBegin; 2230 PetscCall(DMGetApplicationContext(pack, &ctx)); // uses ctx->num_grids; ctx->plex[grid]; ctx->batch_sz; ctx->mat_offset 2231 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2232 PetscInt dim, n; 2233 PetscCall(DMGetDimension(pack, &dim)); 2234 for (PetscInt sp = ctx->species_offset[grid], i0 = 0; sp < ctx->species_offset[grid + 1]; sp++, i0++) { 2235 Vec vec; 2236 PetscInt vf[1] = {i0}; 2237 IS vis; 2238 DM vdm; 2239 PetscCall(DMCreateSubDM(ctx->plex[grid], 1, vf, &vis, &vdm)); 2240 PetscCall(DMSetApplicationContext(vdm, ctx)); // the user might want this 2241 PetscCall(DMCreateGlobalVector(vdm, &vec)); 2242 PetscCall(VecGetSize(vec, &n)); 2243 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2244 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2245 PetscCall(VecZeroEntries(vec)); 2246 /* Add your data with 'dm' for species 'sp' to 'vec' */ 2247 PetscCall(func(vdm, vec, i0, grid, b_id, user_ctx)); 2248 /* add to global */ 2249 PetscScalar const *values; 2250 const PetscInt *offsets; 2251 PetscCall(VecGetArrayRead(vec, &values)); 2252 PetscCall(ISGetIndices(vis, &offsets)); 2253 for (int i = 0; i < n; i++) { PetscCall(VecSetValue(X, moffset + offsets[i], values[i], ADD_VALUES)); } 2254 PetscCall(VecRestoreArrayRead(vec, &values)); 2255 PetscCall(ISRestoreIndices(vis, &offsets)); 2256 } // batch 2257 PetscCall(VecDestroy(&vec)); 2258 PetscCall(ISDestroy(&vis)); 2259 PetscCall(DMDestroy(&vdm)); 2260 } 2261 } // grid 2262 PetscFunctionReturn(0); 2263 } 2264 2265 /*@ 2266 DMPlexLandauDestroyVelocitySpace - Destroy a DMPlex velocity space mesh 2267 2268 Collective on dm 2269 2270 Input/Output Parameters: 2271 . dm - the dm to destroy 2272 2273 Level: beginner 2274 2275 .keywords: mesh 2276 .seealso: `DMPlexLandauCreateVelocitySpace()` 2277 @*/ 2278 PetscErrorCode DMPlexLandauDestroyVelocitySpace(DM *dm) 2279 { 2280 LandauCtx *ctx; 2281 PetscFunctionBegin; 2282 PetscCall(DMGetApplicationContext(*dm, &ctx)); 2283 PetscCall(MatDestroy(&ctx->M)); 2284 PetscCall(MatDestroy(&ctx->J)); 2285 for (PetscInt ii = 0; ii < ctx->num_species; ii++) PetscCall(PetscFEDestroy(&ctx->fe[ii])); 2286 PetscCall(ISDestroy(&ctx->batch_is)); 2287 PetscCall(VecDestroy(&ctx->work_vec)); 2288 PetscCall(VecScatterDestroy(&ctx->plex_batch)); 2289 if (ctx->deviceType == LANDAU_CUDA) { 2290 #if defined(PETSC_HAVE_CUDA) 2291 PetscCall(LandauCUDAStaticDataClear(&ctx->SData_d)); 2292 #else 2293 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "cuda"); 2294 #endif 2295 } else if (ctx->deviceType == LANDAU_KOKKOS) { 2296 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 2297 PetscCall(LandauKokkosStaticDataClear(&ctx->SData_d)); 2298 #else 2299 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "kokkos"); 2300 #endif 2301 } else { 2302 if (ctx->SData_d.x) { /* in a CPU run */ 2303 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; 2304 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; 2305 PetscCall(PetscFree4(ww, xx, yy, invJ)); 2306 if (zz) PetscCall(PetscFree(zz)); 2307 if (coo_elem_offsets) { 2308 PetscCall(PetscFree3(coo_elem_offsets, coo_elem_fullNb, coo_elem_point_offsets)); // could be NULL 2309 } 2310 } 2311 } 2312 2313 if (ctx->times[LANDAU_MATRIX_TOTAL] > 0) { // OMP timings 2314 PetscCall(PetscPrintf(ctx->comm, "TSStep N 1.0 %10.3e\n", ctx->times[LANDAU_EX2_TSSOLVE])); 2315 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)); 2316 PetscCall(PetscPrintf(ctx->comm, "3: Landau: %10.3e\n", ctx->times[LANDAU_MATRIX_TOTAL])); 2317 PetscCall(PetscPrintf(ctx->comm, "Landau Jacobian %" PetscInt_FMT " 1.0 %10.3e\n", (PetscInt)ctx->times[LANDAU_JACOBIAN_COUNT], ctx->times[LANDAU_JACOBIAN])); 2318 PetscCall(PetscPrintf(ctx->comm, "Landau Operator N 1.0 %10.3e\n", ctx->times[LANDAU_OPERATOR])); 2319 PetscCall(PetscPrintf(ctx->comm, "Landau Mass N 1.0 %10.3e\n", ctx->times[LANDAU_MASS])); 2320 PetscCall(PetscPrintf(ctx->comm, " Jac-f-df (GPU) N 1.0 %10.3e\n", ctx->times[LANDAU_F_DF])); 2321 PetscCall(PetscPrintf(ctx->comm, " Kernel (GPU) N 1.0 %10.3e\n", ctx->times[LANDAU_KERNEL])); 2322 PetscCall(PetscPrintf(ctx->comm, "MatLUFactorNum X 1.0 %10.3e\n", ctx->times[KSP_FACTOR])); 2323 PetscCall(PetscPrintf(ctx->comm, "MatSolve X 1.0 %10.3e\n", ctx->times[KSP_SOLVE])); 2324 } 2325 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMDestroy(&ctx->plex[grid])); 2326 PetscFree(ctx); 2327 PetscCall(DMDestroy(dm)); 2328 PetscFunctionReturn(0); 2329 } 2330 2331 /* < v, ru > */ 2332 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) 2333 { 2334 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2335 f0[0] = u[ii]; 2336 } 2337 2338 /* < v, ru > */ 2339 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) 2340 { 2341 PetscInt ii = (PetscInt)PetscRealPart(constants[0]), jj = (PetscInt)PetscRealPart(constants[1]); 2342 f0[0] = x[jj] * u[ii]; /* x momentum */ 2343 } 2344 2345 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) 2346 { 2347 PetscInt i, ii = (PetscInt)PetscRealPart(constants[0]); 2348 double tmp1 = 0.; 2349 for (i = 0; i < dim; ++i) tmp1 += x[i] * x[i]; 2350 f0[0] = tmp1 * u[ii]; 2351 } 2352 2353 static PetscErrorCode gamma_n_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, void *actx) 2354 { 2355 const PetscReal *c2_0_arr = ((PetscReal *)actx); 2356 const PetscReal c02 = c2_0_arr[0]; 2357 2358 PetscFunctionBegin; 2359 for (int s = 0; s < Nf; s++) { 2360 PetscReal tmp1 = 0.; 2361 for (int i = 0; i < dim; ++i) tmp1 += x[i] * x[i]; 2362 #if defined(PETSC_USE_DEBUG) 2363 u[s] = PetscSqrtReal(1. + tmp1 / c02); // u[0] = PetscSqrtReal(1. + xx); 2364 #else 2365 { 2366 PetscReal xx = tmp1 / c02; 2367 u[s] = xx / (PetscSqrtReal(1. + xx) + 1.); // better conditioned = xx/(PetscSqrtReal(1. + xx) + 1.) 2368 } 2369 #endif 2370 } 2371 PetscFunctionReturn(0); 2372 } 2373 2374 /* < v, ru > */ 2375 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) 2376 { 2377 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2378 f0[0] = 2. * PETSC_PI * x[0] * u[ii]; 2379 } 2380 2381 /* < v, ru > */ 2382 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) 2383 { 2384 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2385 f0[0] = 2. * PETSC_PI * x[0] * x[1] * u[ii]; 2386 } 2387 2388 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) 2389 { 2390 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2391 f0[0] = 2. * PETSC_PI * x[0] * (x[0] * x[0] + x[1] * x[1]) * u[ii]; 2392 } 2393 2394 /*@ 2395 DMPlexLandauPrintNorms - collects moments and prints them 2396 2397 Collective on dm 2398 2399 Input Parameters: 2400 + X - the state 2401 - stepi - current step to print 2402 2403 Level: beginner 2404 2405 .keywords: mesh 2406 .seealso: `DMPlexLandauCreateVelocitySpace()` 2407 @*/ 2408 PetscErrorCode DMPlexLandauPrintNorms(Vec X, PetscInt stepi) 2409 { 2410 LandauCtx *ctx; 2411 PetscDS prob; 2412 DM pack; 2413 PetscInt cStart, cEnd, dim, ii, i0, nDMs; 2414 PetscScalar xmomentumtot = 0, ymomentumtot = 0, zmomentumtot = 0, energytot = 0, densitytot = 0, tt[LANDAU_MAX_SPECIES]; 2415 PetscScalar xmomentum[LANDAU_MAX_SPECIES], ymomentum[LANDAU_MAX_SPECIES], zmomentum[LANDAU_MAX_SPECIES], energy[LANDAU_MAX_SPECIES], density[LANDAU_MAX_SPECIES]; 2416 Vec *globXArray; 2417 2418 PetscFunctionBegin; 2419 PetscCall(VecGetDM(X, &pack)); 2420 PetscCheck(pack, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Vector has no DM"); 2421 PetscCall(DMGetDimension(pack, &dim)); 2422 PetscCheck(dim == 2 || dim == 3, PETSC_COMM_SELF, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " not in [2,3]", dim); 2423 PetscCall(DMGetApplicationContext(pack, &ctx)); 2424 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2425 /* print momentum and energy */ 2426 PetscCall(DMCompositeGetNumberDM(pack, &nDMs)); 2427 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); 2428 PetscCall(PetscMalloc(sizeof(*globXArray) * nDMs, &globXArray)); 2429 PetscCall(DMCompositeGetAccessArray(pack, X, nDMs, NULL, globXArray)); 2430 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2431 Vec Xloc = globXArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)]; 2432 PetscCall(DMGetDS(ctx->plex[grid], &prob)); 2433 for (ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 2434 PetscScalar user[2] = {(PetscScalar)i0, (PetscScalar)ctx->charges[ii]}; 2435 PetscCall(PetscDSSetConstants(prob, 2, user)); 2436 if (dim == 2) { /* 2/3X + 3V (cylindrical coordinates) */ 2437 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rden)); 2438 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2439 density[ii] = tt[0] * ctx->n_0 * ctx->charges[ii]; 2440 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rmom)); 2441 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2442 zmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2443 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rv2)); 2444 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2445 energy[ii] = tt[0] * 0.5 * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ii]; 2446 zmomentumtot += zmomentum[ii]; 2447 energytot += energy[ii]; 2448 densitytot += density[ii]; 2449 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]))); 2450 } else { /* 2/3Xloc + 3V */ 2451 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_den)); 2452 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2453 density[ii] = tt[0] * ctx->n_0 * ctx->charges[ii]; 2454 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_mom)); 2455 user[1] = 0; 2456 PetscCall(PetscDSSetConstants(prob, 2, user)); 2457 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2458 xmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2459 user[1] = 1; 2460 PetscCall(PetscDSSetConstants(prob, 2, user)); 2461 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2462 ymomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2463 user[1] = 2; 2464 PetscCall(PetscDSSetConstants(prob, 2, user)); 2465 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2466 zmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2467 if (ctx->use_relativistic_corrections) { 2468 /* gamma * M * f */ 2469 if (ii == 0 && grid == 0) { // do all at once 2470 Vec Mf, globGamma, *globMfArray, *globGammaArray; 2471 PetscErrorCode (*gammaf[1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *) = {gamma_n_f}; 2472 PetscReal *c2_0[1], data[1]; 2473 2474 PetscCall(VecDuplicate(X, &globGamma)); 2475 PetscCall(VecDuplicate(X, &Mf)); 2476 PetscCall(PetscMalloc(sizeof(*globMfArray) * nDMs, &globMfArray)); 2477 PetscCall(PetscMalloc(sizeof(*globMfArray) * nDMs, &globGammaArray)); 2478 /* M * f */ 2479 PetscCall(MatMult(ctx->M, X, Mf)); 2480 /* gamma */ 2481 PetscCall(DMCompositeGetAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2482 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 2483 Vec v1 = globGammaArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)]; 2484 data[0] = PetscSqr(C_0(ctx->v_0)); 2485 c2_0[0] = &data[0]; 2486 PetscCall(DMProjectFunction(ctx->plex[grid], 0., gammaf, (void **)c2_0, INSERT_ALL_VALUES, v1)); 2487 } 2488 PetscCall(DMCompositeRestoreAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2489 /* gamma * Mf */ 2490 PetscCall(DMCompositeGetAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2491 PetscCall(DMCompositeGetAccessArray(pack, Mf, nDMs, NULL, globMfArray)); 2492 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { // yes a grid loop in a grid loop to print nice 2493 PetscInt Nf = ctx->species_offset[grid + 1] - ctx->species_offset[grid], N, bs; 2494 Vec Mfsub = globMfArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)], Gsub = globGammaArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)], v1, v2; 2495 // get each component 2496 PetscCall(VecGetSize(Mfsub, &N)); 2497 PetscCall(VecCreate(ctx->comm, &v1)); 2498 PetscCall(VecSetSizes(v1, PETSC_DECIDE, N / Nf)); 2499 PetscCall(VecCreate(ctx->comm, &v2)); 2500 PetscCall(VecSetSizes(v2, PETSC_DECIDE, N / Nf)); 2501 PetscCall(VecSetFromOptions(v1)); // ??? 2502 PetscCall(VecSetFromOptions(v2)); 2503 // get each component 2504 PetscCall(VecGetBlockSize(Gsub, &bs)); 2505 PetscCheck(bs == Nf, PETSC_COMM_SELF, PETSC_ERR_PLIB, "bs %" PetscInt_FMT " != num_species %" PetscInt_FMT " in Gsub", bs, Nf); 2506 PetscCall(VecGetBlockSize(Mfsub, &bs)); 2507 PetscCheck(bs == Nf, PETSC_COMM_SELF, PETSC_ERR_PLIB, "bs %" PetscInt_FMT " != num_species %" PetscInt_FMT, bs, Nf); 2508 for (int i = 0, ix = ctx->species_offset[grid]; i < Nf; i++, ix++) { 2509 PetscScalar val; 2510 PetscCall(VecStrideGather(Gsub, i, v1, INSERT_VALUES)); // this is not right -- TODO 2511 PetscCall(VecStrideGather(Mfsub, i, v2, INSERT_VALUES)); 2512 PetscCall(VecDot(v1, v2, &val)); 2513 energy[ix] = PetscRealPart(val) * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ix]; 2514 } 2515 PetscCall(VecDestroy(&v1)); 2516 PetscCall(VecDestroy(&v2)); 2517 } /* grids */ 2518 PetscCall(DMCompositeRestoreAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2519 PetscCall(DMCompositeRestoreAccessArray(pack, Mf, nDMs, NULL, globMfArray)); 2520 PetscCall(PetscFree(globGammaArray)); 2521 PetscCall(PetscFree(globMfArray)); 2522 PetscCall(VecDestroy(&globGamma)); 2523 PetscCall(VecDestroy(&Mf)); 2524 } 2525 } else { 2526 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_v2)); 2527 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2528 energy[ii] = 0.5 * tt[0] * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ii]; 2529 } 2530 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]))); 2531 xmomentumtot += xmomentum[ii]; 2532 ymomentumtot += ymomentum[ii]; 2533 zmomentumtot += zmomentum[ii]; 2534 energytot += energy[ii]; 2535 densitytot += density[ii]; 2536 } 2537 if (ctx->num_species > 1) PetscPrintf(ctx->comm, "\n"); 2538 } 2539 } 2540 PetscCall(DMCompositeRestoreAccessArray(pack, X, nDMs, NULL, globXArray)); 2541 PetscCall(PetscFree(globXArray)); 2542 /* totals */ 2543 PetscCall(DMPlexGetHeightStratum(ctx->plex[0], 0, &cStart, &cEnd)); 2544 if (ctx->num_species > 1) { 2545 if (dim == 2) { 2546 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), 2547 (double)(ctx->masses[1] / ctx->masses[0]), cEnd - cStart)); 2548 } else { 2549 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), 2550 (double)(ctx->masses[1] / ctx->masses[0]), cEnd - cStart)); 2551 } 2552 } else PetscCall(PetscPrintf(ctx->comm, " -- %" PetscInt_FMT " cells", cEnd - cStart)); 2553 PetscCall(PetscPrintf(ctx->comm, "\n")); 2554 PetscFunctionReturn(0); 2555 } 2556 2557 /*@ 2558 DMPlexLandauCreateMassMatrix - Create mass matrix for Landau in Plex space (not field major order of Jacobian) 2559 - puts mass matrix into ctx->M 2560 2561 Collective on pack 2562 2563 Input/Output Parameters: 2564 . pack - the DM object. Puts matrix in Landau context M field 2565 2566 Output Parameters: 2567 . Amat - The mass matrix (optional), mass matrix is added to the DM context 2568 2569 Level: beginner 2570 2571 .keywords: mesh 2572 .seealso: `DMPlexLandauCreateVelocitySpace()` 2573 @*/ 2574 PetscErrorCode DMPlexLandauCreateMassMatrix(DM pack, Mat *Amat) 2575 { 2576 DM mass_pack, massDM[LANDAU_MAX_GRIDS]; 2577 PetscDS prob; 2578 PetscInt ii, dim, N1 = 1, N2; 2579 LandauCtx *ctx; 2580 Mat packM, subM[LANDAU_MAX_GRIDS]; 2581 2582 PetscFunctionBegin; 2583 PetscValidHeaderSpecific(pack, DM_CLASSID, 1); 2584 if (Amat) PetscValidPointer(Amat, 2); 2585 PetscCall(DMGetApplicationContext(pack, &ctx)); 2586 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2587 PetscCall(PetscLogEventBegin(ctx->events[14], 0, 0, 0, 0)); 2588 PetscCall(DMGetDimension(pack, &dim)); 2589 PetscCall(DMCompositeCreate(PetscObjectComm((PetscObject)pack), &mass_pack)); 2590 /* create pack mass matrix */ 2591 for (PetscInt grid = 0, ix = 0; grid < ctx->num_grids; grid++) { 2592 PetscCall(DMClone(ctx->plex[grid], &massDM[grid])); 2593 PetscCall(DMCopyFields(ctx->plex[grid], massDM[grid])); 2594 PetscCall(DMCreateDS(massDM[grid])); 2595 PetscCall(DMGetDS(massDM[grid], &prob)); 2596 for (ix = 0, ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++, ix++) { 2597 if (dim == 3) PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_1, NULL, NULL, NULL)); 2598 else PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_r, NULL, NULL, NULL)); 2599 } 2600 #if !defined(LANDAU_SPECIES_MAJOR) 2601 PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); 2602 #else 2603 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 2604 PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); 2605 } 2606 #endif 2607 PetscCall(DMCreateMatrix(massDM[grid], &subM[grid])); 2608 } 2609 #if !defined(LANDAU_SPECIES_MAJOR) 2610 // stack the batched DMs 2611 for (PetscInt b_id = 1; b_id < ctx->batch_sz; b_id++) { 2612 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); 2613 } 2614 #endif 2615 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); 2616 PetscCall(DMCreateMatrix(mass_pack, &packM)); 2617 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 2618 PetscCall(MatSetOption(packM, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 2619 PetscCall(MatSetOption(packM, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 2620 PetscCall(DMDestroy(&mass_pack)); 2621 /* make mass matrix for each block */ 2622 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2623 Vec locX; 2624 DM plex = massDM[grid]; 2625 PetscCall(DMGetLocalVector(plex, &locX)); 2626 /* Mass matrix is independent of the input, so no need to fill locX */ 2627 PetscCall(DMPlexSNESComputeJacobianFEM(plex, locX, subM[grid], subM[grid], ctx)); 2628 PetscCall(DMRestoreLocalVector(plex, &locX)); 2629 PetscCall(DMDestroy(&massDM[grid])); 2630 } 2631 PetscCall(MatGetSize(ctx->J, &N1, NULL)); 2632 PetscCall(MatGetSize(packM, &N2, NULL)); 2633 PetscCheck(N1 == N2, PetscObjectComm((PetscObject)pack), PETSC_ERR_PLIB, "Incorrect matrix sizes: |Jacobian| = %" PetscInt_FMT ", |Mass|=%" PetscInt_FMT, N1, N2); 2634 /* assemble block diagonals */ 2635 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2636 Mat B = subM[grid]; 2637 PetscInt nloc, nzl, *colbuf, COL_BF_SIZE = 1024, row; 2638 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 2639 PetscCall(MatGetSize(B, &nloc, NULL)); 2640 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2641 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2642 const PetscInt *cols; 2643 const PetscScalar *vals; 2644 for (int i = 0; i < nloc; i++) { 2645 PetscCall(MatGetRow(B, i, &nzl, NULL, NULL)); 2646 if (nzl > COL_BF_SIZE) { 2647 PetscCall(PetscFree(colbuf)); 2648 PetscCall(PetscInfo(pack, "Realloc buffer %" PetscInt_FMT " to %" PetscInt_FMT " (row size %" PetscInt_FMT ") \n", COL_BF_SIZE, 2 * COL_BF_SIZE, nzl)); 2649 COL_BF_SIZE = nzl; 2650 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 2651 } 2652 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 2653 for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset; 2654 row = i + moffset; 2655 PetscCall(MatSetValues(packM, 1, &row, nzl, colbuf, vals, INSERT_VALUES)); 2656 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 2657 } 2658 } 2659 PetscCall(PetscFree(colbuf)); 2660 } 2661 // cleanup 2662 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(MatDestroy(&subM[grid])); 2663 PetscCall(MatAssemblyBegin(packM, MAT_FINAL_ASSEMBLY)); 2664 PetscCall(MatAssemblyEnd(packM, MAT_FINAL_ASSEMBLY)); 2665 PetscCall(PetscObjectSetName((PetscObject)packM, "mass")); 2666 PetscCall(MatViewFromOptions(packM, NULL, "-dm_landau_mass_view")); 2667 ctx->M = packM; 2668 if (Amat) *Amat = packM; 2669 PetscCall(PetscLogEventEnd(ctx->events[14], 0, 0, 0, 0)); 2670 PetscFunctionReturn(0); 2671 } 2672 2673 /*@ 2674 DMPlexLandauIFunction - TS residual calculation, confusingly this computes the Jacobian w/o mass 2675 2676 Collective on ts 2677 2678 Input Parameters: 2679 + TS - The time stepping context 2680 . time_dummy - current time (not used) 2681 . X - Current state 2682 . X_t - Time derivative of current state 2683 - actx - Landau context 2684 2685 Output Parameter: 2686 . F - The residual 2687 2688 Level: beginner 2689 2690 .keywords: mesh 2691 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauIJacobian()` 2692 @*/ 2693 PetscErrorCode DMPlexLandauIFunction(TS ts, PetscReal time_dummy, Vec X, Vec X_t, Vec F, void *actx) 2694 { 2695 LandauCtx *ctx = (LandauCtx *)actx; 2696 PetscInt dim; 2697 DM pack; 2698 #if defined(PETSC_HAVE_THREADSAFETY) 2699 double starttime, endtime; 2700 #endif 2701 PetscObjectState state; 2702 2703 PetscFunctionBegin; 2704 PetscCall(TSGetDM(ts, &pack)); 2705 PetscCall(DMGetApplicationContext(pack, &ctx)); 2706 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2707 if (ctx->stage) PetscCall(PetscLogStagePush(ctx->stage)); 2708 PetscCall(PetscLogEventBegin(ctx->events[11], 0, 0, 0, 0)); 2709 PetscCall(PetscLogEventBegin(ctx->events[0], 0, 0, 0, 0)); 2710 #if defined(PETSC_HAVE_THREADSAFETY) 2711 starttime = MPI_Wtime(); 2712 #endif 2713 PetscCall(DMGetDimension(pack, &dim)); 2714 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2715 if (state != ctx->norm_state) { 2716 PetscCall(PetscInfo(ts, "Create Landau Jacobian t=%g J.state %" PetscInt64_FMT " --> %" PetscInt64_FMT "\n", (double)time_dummy, ctx->norm_state, state)); 2717 PetscCall(MatZeroEntries(ctx->J)); 2718 PetscCall(LandauFormJacobian_Internal(X, ctx->J, dim, 0.0, (void *)ctx)); 2719 PetscCall(MatViewFromOptions(ctx->J, NULL, "-dm_landau_jacobian_view")); 2720 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2721 ctx->norm_state = state; 2722 } else { 2723 PetscCall(PetscInfo(ts, "WARNING Skip forming Jacobian, has not changed %" PetscInt64_FMT "\n", state)); 2724 } 2725 /* mat vec for op */ 2726 PetscCall(MatMult(ctx->J, X, F)); /* C*f */ 2727 /* add time term */ 2728 if (X_t) PetscCall(MatMultAdd(ctx->M, X_t, F, F)); 2729 #if defined(PETSC_HAVE_THREADSAFETY) 2730 if (ctx->stage) { 2731 endtime = MPI_Wtime(); 2732 ctx->times[LANDAU_OPERATOR] += (endtime - starttime); 2733 ctx->times[LANDAU_JACOBIAN] += (endtime - starttime); 2734 ctx->times[LANDAU_JACOBIAN_COUNT] += 1; 2735 } 2736 #endif 2737 PetscCall(PetscLogEventEnd(ctx->events[0], 0, 0, 0, 0)); 2738 PetscCall(PetscLogEventEnd(ctx->events[11], 0, 0, 0, 0)); 2739 if (ctx->stage) { 2740 PetscCall(PetscLogStagePop()); 2741 #if defined(PETSC_HAVE_THREADSAFETY) 2742 ctx->times[LANDAU_MATRIX_TOTAL] += (endtime - starttime); 2743 #endif 2744 } 2745 PetscFunctionReturn(0); 2746 } 2747 2748 /*@ 2749 DMPlexLandauIJacobian - TS Jacobian construction, confusingly this adds mass 2750 2751 Collective on ts 2752 2753 Input Parameters: 2754 + TS - The time stepping context 2755 . time_dummy - current time (not used) 2756 . X - Current state 2757 . U_tdummy - Time derivative of current state (not used) 2758 . shift - shift for du/dt term 2759 - actx - Landau context 2760 2761 Output Parameters: 2762 + Amat - Jacobian 2763 - Pmat - same as Amat 2764 2765 Level: beginner 2766 2767 .keywords: mesh 2768 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauIFunction()` 2769 @*/ 2770 PetscErrorCode DMPlexLandauIJacobian(TS ts, PetscReal time_dummy, Vec X, Vec U_tdummy, PetscReal shift, Mat Amat, Mat Pmat, void *actx) 2771 { 2772 LandauCtx *ctx = NULL; 2773 PetscInt dim; 2774 DM pack; 2775 #if defined(PETSC_HAVE_THREADSAFETY) 2776 double starttime, endtime; 2777 #endif 2778 PetscObjectState state; 2779 2780 PetscFunctionBegin; 2781 PetscCall(TSGetDM(ts, &pack)); 2782 PetscCall(DMGetApplicationContext(pack, &ctx)); 2783 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2784 PetscCheck(Amat == Pmat && Amat == ctx->J, ctx->comm, PETSC_ERR_PLIB, "Amat!=Pmat || Amat!=ctx->J"); 2785 PetscCall(DMGetDimension(pack, &dim)); 2786 /* get collision Jacobian into A */ 2787 if (ctx->stage) PetscCall(PetscLogStagePush(ctx->stage)); 2788 PetscCall(PetscLogEventBegin(ctx->events[11], 0, 0, 0, 0)); 2789 PetscCall(PetscLogEventBegin(ctx->events[9], 0, 0, 0, 0)); 2790 #if defined(PETSC_HAVE_THREADSAFETY) 2791 starttime = MPI_Wtime(); 2792 #endif 2793 PetscCall(PetscInfo(ts, "Adding mass to Jacobian t=%g, shift=%g\n", (double)time_dummy, (double)shift)); 2794 PetscCheck(shift != 0.0, ctx->comm, PETSC_ERR_PLIB, "zero shift"); 2795 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2796 PetscCheck(state == ctx->norm_state, ctx->comm, PETSC_ERR_PLIB, "wrong state, %" PetscInt64_FMT " %" PetscInt64_FMT "", ctx->norm_state, state); 2797 if (!ctx->use_matrix_mass) { 2798 PetscCall(LandauFormJacobian_Internal(X, ctx->J, dim, shift, (void *)ctx)); 2799 } else { /* add mass */ 2800 PetscCall(MatAXPY(Pmat, shift, ctx->M, SAME_NONZERO_PATTERN)); 2801 } 2802 #if defined(PETSC_HAVE_THREADSAFETY) 2803 if (ctx->stage) { 2804 endtime = MPI_Wtime(); 2805 ctx->times[LANDAU_OPERATOR] += (endtime - starttime); 2806 ctx->times[LANDAU_MASS] += (endtime - starttime); 2807 } 2808 #endif 2809 PetscCall(PetscLogEventEnd(ctx->events[9], 0, 0, 0, 0)); 2810 PetscCall(PetscLogEventEnd(ctx->events[11], 0, 0, 0, 0)); 2811 if (ctx->stage) { 2812 PetscCall(PetscLogStagePop()); 2813 #if defined(PETSC_HAVE_THREADSAFETY) 2814 ctx->times[LANDAU_MATRIX_TOTAL] += (endtime - starttime); 2815 #endif 2816 } 2817 PetscFunctionReturn(0); 2818 } 2819