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 #include "land_tensors.h" 20 21 #if defined(PETSC_HAVE_OPENMP) 22 #include <omp.h> 23 #endif 24 25 static PetscErrorCode LandauGPUMapsDestroy(void *ptr) 26 { 27 P4estVertexMaps *maps = (P4estVertexMaps *)ptr; 28 PetscFunctionBegin; 29 // free device data 30 if (maps[0].deviceType != LANDAU_CPU) { 31 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 32 if (maps[0].deviceType == LANDAU_KOKKOS) { 33 PetscCall(LandauKokkosDestroyMatMaps(maps, maps[0].numgrids)); // implies Kokkos does 34 } 35 #endif 36 } 37 // free host data 38 for (PetscInt grid = 0; grid < maps[0].numgrids; grid++) { 39 PetscCall(PetscFree(maps[grid].c_maps)); 40 PetscCall(PetscFree(maps[grid].gIdx)); 41 } 42 PetscCall(PetscFree(maps)); 43 44 PetscFunctionReturn(PETSC_SUCCESS); 45 } 46 static PetscErrorCode energy_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) 47 { 48 PetscReal v2 = 0; 49 PetscFunctionBegin; 50 /* compute v^2 / 2 */ 51 for (int i = 0; i < dim; ++i) v2 += x[i] * x[i]; 52 /* evaluate the Maxwellian */ 53 u[0] = v2 / 2; 54 PetscFunctionReturn(PETSC_SUCCESS); 55 } 56 57 /* needs double */ 58 static PetscErrorCode gamma_m1_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) 59 { 60 PetscReal *c2_0_arr = ((PetscReal *)actx); 61 double u2 = 0, c02 = (double)*c2_0_arr, xx; 62 63 PetscFunctionBegin; 64 /* compute u^2 / 2 */ 65 for (int i = 0; i < dim; ++i) u2 += x[i] * x[i]; 66 /* gamma - 1 = g_eps, for conditioning and we only take derivatives */ 67 xx = u2 / c02; 68 #if defined(PETSC_USE_DEBUG) 69 u[0] = PetscSqrtReal(1. + xx); 70 #else 71 u[0] = xx / (PetscSqrtReal(1. + xx) + 1.) - 1.; // better conditioned. -1 might help condition and only used for derivative 72 #endif 73 PetscFunctionReturn(PETSC_SUCCESS); 74 } 75 76 /* 77 LandauFormJacobian_Internal - Evaluates Jacobian matrix. 78 79 Input Parameters: 80 . globX - input vector 81 . actx - optional user-defined context 82 . dim - dimension 83 84 Output Parameter: 85 . J0acP - Jacobian matrix filled, not created 86 */ 87 static PetscErrorCode LandauFormJacobian_Internal(Vec a_X, Mat JacP, const PetscInt dim, PetscReal shift, void *a_ctx) 88 { 89 LandauCtx *ctx = (LandauCtx *)a_ctx; 90 PetscInt numCells[LANDAU_MAX_GRIDS], Nq, Nb; 91 PetscQuadrature quad; 92 PetscReal Eq_m[LANDAU_MAX_SPECIES]; // could be static data w/o quench (ex2) 93 PetscScalar *cellClosure = NULL; 94 const PetscScalar *xdata = NULL; 95 PetscDS prob; 96 PetscContainer container; 97 P4estVertexMaps *maps; 98 Mat subJ[LANDAU_MAX_GRIDS * LANDAU_MAX_BATCH_SZ]; 99 100 PetscFunctionBegin; 101 PetscValidHeaderSpecific(a_X, VEC_CLASSID, 1); 102 PetscValidHeaderSpecific(JacP, MAT_CLASSID, 2); 103 PetscValidPointer(ctx, 5); 104 /* check for matrix container for GPU assembly. Support CPU assembly for debugging */ 105 PetscCheck(ctx->plex[0] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 106 PetscCall(PetscLogEventBegin(ctx->events[10], 0, 0, 0, 0)); 107 PetscCall(DMGetDS(ctx->plex[0], &prob)); // same DS for all grids 108 PetscCall(PetscObjectQuery((PetscObject)JacP, "assembly_maps", (PetscObject *)&container)); 109 if (container) { 110 PetscCheck(ctx->gpu_assembly, ctx->comm, PETSC_ERR_ARG_WRONG, "maps but no GPU assembly"); 111 PetscCall(PetscContainerGetPointer(container, (void **)&maps)); 112 PetscCheck(maps, ctx->comm, PETSC_ERR_ARG_WRONG, "empty GPU matrix container"); 113 for (PetscInt i = 0; i < ctx->num_grids * ctx->batch_sz; i++) subJ[i] = NULL; 114 } else { 115 PetscCheck(!ctx->gpu_assembly, ctx->comm, PETSC_ERR_ARG_WRONG, "No maps but GPU assembly"); 116 for (PetscInt tid = 0; tid < ctx->batch_sz; tid++) { 117 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMCreateMatrix(ctx->plex[grid], &subJ[LAND_PACK_IDX(tid, grid)])); 118 } 119 maps = NULL; 120 } 121 // 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) 122 PetscCall(PetscFEGetQuadrature(ctx->fe[0], &quad)); 123 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, NULL)); 124 PetscCall(PetscFEGetDimension(ctx->fe[0], &Nb)); 125 PetscCheck(Nb == Nq, ctx->comm, PETSC_ERR_ARG_WRONG, "Nb (%d) != Nq (%d) - not true for some simplex elements (use P2)", (int)Nb, (int)Nq); 126 PetscCheck(Nq <= LANDAU_MAX_NQ, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nq = %" PetscInt_FMT " > LANDAU_MAX_NQ (%d)", Nq, LANDAU_MAX_NQ); 127 // get metadata for collecting dynamic data 128 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 129 PetscInt cStart, cEnd; 130 PetscCheck(ctx->plex[grid] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 131 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 132 numCells[grid] = cEnd - cStart; // grids can have different topology 133 } 134 PetscCall(PetscLogEventEnd(ctx->events[10], 0, 0, 0, 0)); 135 if (shift == 0) { /* create dynamic point data: f_alpha for closure of each cell (cellClosure[nbatch,ngrids,ncells[g],f[Nb,ns[g]]]) or xdata */ 136 DM pack; 137 PetscCall(VecGetDM(a_X, &pack)); 138 PetscCheck(pack, PETSC_COMM_SELF, PETSC_ERR_PLIB, "pack has no DM"); 139 PetscCall(PetscLogEventBegin(ctx->events[1], 0, 0, 0, 0)); 140 for (PetscInt fieldA = 0; fieldA < ctx->num_species; fieldA++) { 141 Eq_m[fieldA] = ctx->Ez * ctx->t_0 * ctx->charges[fieldA] / (ctx->v_0 * ctx->masses[fieldA]); /* normalize dimensionless */ 142 if (dim == 2) Eq_m[fieldA] *= 2 * PETSC_PI; /* add the 2pi term that is not in Landau */ 143 } 144 if (!ctx->gpu_assembly) { 145 Vec *locXArray, *globXArray; 146 PetscScalar *cellClosure_it; 147 PetscInt cellClosure_sz = 0, nDMs, Nf[LANDAU_MAX_GRIDS]; 148 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 149 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 150 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 151 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 152 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 153 } 154 /* count cellClosure size */ 155 PetscCall(DMCompositeGetNumberDM(pack, &nDMs)); 156 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) cellClosure_sz += Nb * Nf[grid] * numCells[grid]; 157 PetscCall(PetscMalloc1(cellClosure_sz * ctx->batch_sz, &cellClosure)); 158 cellClosure_it = cellClosure; 159 PetscCall(PetscMalloc(sizeof(*locXArray) * nDMs, &locXArray)); 160 PetscCall(PetscMalloc(sizeof(*globXArray) * nDMs, &globXArray)); 161 PetscCall(DMCompositeGetLocalAccessArray(pack, a_X, nDMs, NULL, locXArray)); 162 PetscCall(DMCompositeGetAccessArray(pack, a_X, nDMs, NULL, globXArray)); 163 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // OpenMP (once) 164 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 165 Vec locX = locXArray[LAND_PACK_IDX(b_id, grid)], globX = globXArray[LAND_PACK_IDX(b_id, grid)], locX2; 166 PetscInt cStart, cEnd, ei; 167 PetscCall(VecDuplicate(locX, &locX2)); 168 PetscCall(DMGlobalToLocalBegin(ctx->plex[grid], globX, INSERT_VALUES, locX2)); 169 PetscCall(DMGlobalToLocalEnd(ctx->plex[grid], globX, INSERT_VALUES, locX2)); 170 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 171 for (ei = cStart; ei < cEnd; ++ei) { 172 PetscScalar *coef = NULL; 173 PetscCall(DMPlexVecGetClosure(ctx->plex[grid], section[grid], locX2, ei, NULL, &coef)); 174 PetscCall(PetscMemcpy(cellClosure_it, coef, Nb * Nf[grid] * sizeof(*cellClosure_it))); /* change if LandauIPReal != PetscScalar */ 175 PetscCall(DMPlexVecRestoreClosure(ctx->plex[grid], section[grid], locX2, ei, NULL, &coef)); 176 cellClosure_it += Nb * Nf[grid]; 177 } 178 PetscCall(VecDestroy(&locX2)); 179 } 180 } 181 PetscCheck(cellClosure_it - cellClosure == cellClosure_sz * ctx->batch_sz, PETSC_COMM_SELF, PETSC_ERR_PLIB, "iteration wrong %" PetscCount_FMT " != cellClosure_sz = %" PetscInt_FMT, (PetscCount)(cellClosure_it - cellClosure), 182 cellClosure_sz * ctx->batch_sz); 183 PetscCall(DMCompositeRestoreLocalAccessArray(pack, a_X, nDMs, NULL, locXArray)); 184 PetscCall(DMCompositeRestoreAccessArray(pack, a_X, nDMs, NULL, globXArray)); 185 PetscCall(PetscFree(locXArray)); 186 PetscCall(PetscFree(globXArray)); 187 xdata = NULL; 188 } else { 189 PetscMemType mtype; 190 if (ctx->jacobian_field_major_order) { // get data in batch ordering 191 PetscCall(VecScatterBegin(ctx->plex_batch, a_X, ctx->work_vec, INSERT_VALUES, SCATTER_FORWARD)); 192 PetscCall(VecScatterEnd(ctx->plex_batch, a_X, ctx->work_vec, INSERT_VALUES, SCATTER_FORWARD)); 193 PetscCall(VecGetArrayReadAndMemType(ctx->work_vec, &xdata, &mtype)); 194 } else { 195 PetscCall(VecGetArrayReadAndMemType(a_X, &xdata, &mtype)); 196 } 197 PetscCheck(mtype == PETSC_MEMTYPE_HOST || ctx->deviceType != LANDAU_CPU, ctx->comm, PETSC_ERR_ARG_WRONG, "CPU run with device data: use -mat_type aij"); 198 cellClosure = NULL; 199 } 200 PetscCall(PetscLogEventEnd(ctx->events[1], 0, 0, 0, 0)); 201 } else xdata = cellClosure = NULL; 202 203 /* do it */ 204 if (ctx->deviceType == LANDAU_KOKKOS) { 205 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 206 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)); 207 #else 208 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "kokkos"); 209 #endif 210 } else { /* CPU version */ 211 PetscTabulation *Tf; // used for CPU and print info. Same on all grids and all species 212 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]; 213 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; 214 PetscReal *nu_alpha = (PetscReal *)ctx->SData_d.alpha, *nu_beta = (PetscReal *)ctx->SData_d.beta, *invMass = (PetscReal *)ctx->SData_d.invMass; 215 PetscReal(*lambdas)[LANDAU_MAX_GRIDS][LANDAU_MAX_GRIDS] = (PetscReal(*)[LANDAU_MAX_GRIDS][LANDAU_MAX_GRIDS])ctx->SData_d.lambdas; 216 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 217 PetscScalar *coo_vals = NULL; 218 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 219 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 220 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 221 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 222 } 223 /* count IPf size, etc */ 224 PetscCall(PetscDSGetTabulation(prob, &Tf)); // Bf, &Df same for all grids 225 const PetscReal *const BB = Tf[0]->T[0], *const DD = Tf[0]->T[1]; 226 ip_offset[0] = ipf_offset[0] = elem_offset[0] = 0; 227 for (PetscInt grid = 0; grid < num_grids; grid++) { 228 PetscInt nfloc = ctx->species_offset[grid + 1] - ctx->species_offset[grid]; 229 elem_offset[grid + 1] = elem_offset[grid] + numCells[grid]; 230 ip_offset[grid + 1] = ip_offset[grid] + numCells[grid] * Nq; 231 ipf_offset[grid + 1] = ipf_offset[grid] + Nq * nfloc * numCells[grid]; 232 } 233 IPf_sz_glb = ipf_offset[num_grids]; 234 IPf_sz_tot = IPf_sz_glb * ctx->batch_sz; 235 // prep COO 236 { 237 PetscCall(PetscMalloc1(ctx->SData_d.coo_size, &coo_vals)); // allocate every time? 238 PetscCall(PetscInfo(ctx->plex[0], "COO Allocate %" PetscInt_FMT " values\n", (PetscInt)ctx->SData_d.coo_size)); 239 } 240 if (shift == 0.0) { /* compute dynamic data f and df and init data for Jacobian */ 241 #if defined(PETSC_HAVE_THREADSAFETY) 242 double starttime, endtime; 243 starttime = MPI_Wtime(); 244 #endif 245 PetscCall(PetscLogEventBegin(ctx->events[8], 0, 0, 0, 0)); 246 PetscCall(PetscMalloc4(IPf_sz_tot, &ff, IPf_sz_tot, &dudx, IPf_sz_tot, &dudy, dim == 3 ? IPf_sz_tot : 0, &dudz)); 247 // F df/dx 248 for (PetscInt tid = 0; tid < ctx->batch_sz * elem_offset[num_grids]; tid++) { // for each element 249 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 250 // find my grid: 251 PetscInt grid = 0; 252 while (b_elem_idx >= elem_offset[grid + 1]) grid++; // yuck search for grid 253 { 254 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]; 255 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]; 256 PetscScalar *coef, coef_buff[LANDAU_MAX_SPECIES * LANDAU_MAX_NQ]; 257 PetscReal *invJe = &invJ_a[(ip_offset[grid] + loc_elem * Nq) * dim * dim]; // ingJ is static data on batch 0 258 PetscInt b, f, q; 259 if (cellClosure) { 260 coef = &cellClosure[b_id * IPf_sz_glb + ipf_offset[grid] + loc_elem * Nb * loc_Nf]; // this is const 261 } else { 262 coef = coef_buff; 263 for (f = 0; f < loc_Nf; ++f) { 264 LandauIdx *const Idxs = &maps[grid].gIdx[loc_elem][f][0]; 265 for (b = 0; b < Nb; ++b) { 266 PetscInt idx = Idxs[b]; 267 if (idx >= 0) { 268 coef[f * Nb + b] = xdata[idx + moffset]; 269 } else { 270 idx = -idx - 1; 271 coef[f * Nb + b] = 0; 272 for (q = 0; q < maps[grid].num_face; q++) { 273 PetscInt id = maps[grid].c_maps[idx][q].gid; 274 PetscScalar scale = maps[grid].c_maps[idx][q].scale; 275 coef[f * Nb + b] += scale * xdata[id + moffset]; 276 } 277 } 278 } 279 } 280 } 281 /* get f and df */ 282 for (PetscInt qi = 0; qi < Nq; qi++) { 283 const PetscReal *invJ = &invJe[qi * dim * dim]; 284 const PetscReal *Bq = &BB[qi * Nb]; 285 const PetscReal *Dq = &DD[qi * Nb * dim]; 286 PetscReal u_x[LANDAU_DIM]; 287 /* get f & df */ 288 for (f = 0; f < loc_Nf; ++f) { 289 const PetscInt idx = b_id * IPf_sz_glb + ipf_offset[grid] + f * loc_nip + loc_elem * Nq + qi; 290 PetscInt b, e; 291 PetscReal refSpaceDer[LANDAU_DIM]; 292 ff[idx] = 0.0; 293 for (int d = 0; d < LANDAU_DIM; ++d) refSpaceDer[d] = 0.0; 294 for (b = 0; b < Nb; ++b) { 295 const PetscInt cidx = b; 296 ff[idx] += Bq[cidx] * PetscRealPart(coef[f * Nb + cidx]); 297 for (int d = 0; d < dim; ++d) refSpaceDer[d] += Dq[cidx * dim + d] * PetscRealPart(coef[f * Nb + cidx]); 298 } 299 for (int d = 0; d < LANDAU_DIM; ++d) { 300 for (e = 0, u_x[d] = 0.0; e < LANDAU_DIM; ++e) u_x[d] += invJ[e * dim + d] * refSpaceDer[e]; 301 } 302 dudx[idx] = u_x[0]; 303 dudy[idx] = u_x[1]; 304 #if LANDAU_DIM == 3 305 dudz[idx] = u_x[2]; 306 #endif 307 } 308 } // q 309 } // grid 310 } // grid*batch 311 PetscCall(PetscLogEventEnd(ctx->events[8], 0, 0, 0, 0)); 312 #if defined(PETSC_HAVE_THREADSAFETY) 313 endtime = MPI_Wtime(); 314 if (ctx->stage) ctx->times[LANDAU_F_DF] += (endtime - starttime); 315 #endif 316 } // Jacobian setup 317 // assemble Jacobian (or mass) 318 for (PetscInt tid = 0; tid < ctx->batch_sz * elem_offset[num_grids]; tid++) { // for each element 319 const PetscInt b_Nelem = elem_offset[num_grids]; 320 const PetscInt glb_elem_idx = tid % b_Nelem, b_id = tid / b_Nelem; 321 PetscInt grid = 0; 322 #if defined(PETSC_HAVE_THREADSAFETY) 323 double starttime, endtime; 324 starttime = MPI_Wtime(); 325 #endif 326 while (glb_elem_idx >= elem_offset[grid + 1]) grid++; 327 { 328 const PetscInt loc_Nf = ctx->species_offset[grid + 1] - ctx->species_offset[grid], loc_elem = glb_elem_idx - elem_offset[grid]; 329 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset), totDim = loc_Nf * Nq, elemMatSize = totDim * totDim; 330 PetscScalar *elemMat; 331 const PetscReal *invJe = &invJ_a[(ip_offset[grid] + loc_elem * Nq) * dim * dim]; 332 PetscCall(PetscMalloc1(elemMatSize, &elemMat)); 333 PetscCall(PetscMemzero(elemMat, elemMatSize * sizeof(*elemMat))); 334 if (shift == 0.0) { // Jacobian 335 PetscCall(PetscLogEventBegin(ctx->events[4], 0, 0, 0, 0)); 336 } else { // mass 337 PetscCall(PetscLogEventBegin(ctx->events[16], 0, 0, 0, 0)); 338 } 339 for (PetscInt qj = 0; qj < Nq; ++qj) { 340 const PetscInt jpidx_glb = ip_offset[grid] + qj + loc_elem * Nq; 341 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 - 1 342 PetscInt d, d2, dp, d3, IPf_idx; 343 if (shift == 0.0) { // Jacobian 344 const PetscReal *const invJj = &invJe[qj * dim * dim]; 345 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]; 346 const PetscReal vj[3] = {xx[jpidx_glb], yy[jpidx_glb], zz ? zz[jpidx_glb] : 0}, wj = ww[jpidx_glb]; 347 // create g2 & g3 348 for (d = 0; d < LANDAU_DIM; d++) { // clear accumulation data D & K 349 gg2_temp[d] = 0; 350 for (d2 = 0; d2 < LANDAU_DIM; d2++) gg3_temp[d][d2] = 0; 351 } 352 /* inner beta reduction */ 353 IPf_idx = 0; 354 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 355 PetscInt nip_loc_r = numCells[grid_r] * Nq, Nfloc_r = Nf[grid_r]; 356 for (PetscInt ei_r = 0, loc_fdf_idx = 0; ei_r < numCells[grid_r]; ++ei_r) { 357 for (PetscInt qi = 0; qi < Nq; qi++, ipidx++, loc_fdf_idx++) { 358 const PetscReal wi = ww[ipidx], x = xx[ipidx], y = yy[ipidx]; 359 PetscReal temp1[3] = {0, 0, 0}, temp2 = 0; 360 #if LANDAU_DIM == 2 361 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.; 362 LandauTensor2D(vj, x, y, Ud, Uk, mask); 363 #else 364 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.; 365 if (ctx->use_relativistic_corrections) { 366 LandauTensor3DRelativistic(vj, x, y, z, U, mask, C_0(ctx->v_0)); 367 } else { 368 LandauTensor3D(vj, x, y, z, U, mask); 369 } 370 #endif 371 for (int f = 0; f < Nfloc_r; ++f) { 372 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; 373 temp1[0] += dudx[idx] * nu_beta[f + f_off] * invMass[f + f_off] * (*lambdas)[grid][grid_r]; 374 temp1[1] += dudy[idx] * nu_beta[f + f_off] * invMass[f + f_off] * (*lambdas)[grid][grid_r]; 375 #if LANDAU_DIM == 3 376 temp1[2] += dudz[idx] * nu_beta[f + f_off] * invMass[f + f_off] * (*lambdas)[grid][grid_r]; 377 #endif 378 temp2 += ff[idx] * nu_beta[f + f_off] * (*lambdas)[grid][grid_r]; 379 } 380 temp1[0] *= wi; 381 temp1[1] *= wi; 382 #if LANDAU_DIM == 3 383 temp1[2] *= wi; 384 #endif 385 temp2 *= wi; 386 #if LANDAU_DIM == 2 387 for (d2 = 0; d2 < 2; d2++) { 388 for (d3 = 0; d3 < 2; ++d3) { 389 /* K = U * grad(f): g2=e: i,A */ 390 gg2_temp[d2] += Uk[d2][d3] * temp1[d3]; 391 /* D = -U * (I \kron (fx)): g3=f: i,j,A */ 392 gg3_temp[d2][d3] += Ud[d2][d3] * temp2; 393 } 394 } 395 #else 396 for (d2 = 0; d2 < 3; ++d2) { 397 for (d3 = 0; d3 < 3; ++d3) { 398 /* K = U * grad(f): g2 = e: i,A */ 399 gg2_temp[d2] += U[d2][d3] * temp1[d3]; 400 /* D = -U * (I \kron (fx)): g3 = f: i,j,A */ 401 gg3_temp[d2][d3] += U[d2][d3] * temp2; 402 } 403 } 404 #endif 405 } // qi 406 } // ei_r 407 IPf_idx += nip_loc_r * Nfloc_r; 408 } /* grid_r - IPs */ 409 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); 410 // add alpha and put in gg2/3 411 for (PetscInt fieldA = 0, f_off = ctx->species_offset[grid]; fieldA < loc_Nf; ++fieldA) { 412 for (d2 = 0; d2 < LANDAU_DIM; d2++) { 413 gg2[fieldA][d2] = gg2_temp[d2] * nu_alpha[fieldA + f_off]; 414 for (d3 = 0; d3 < LANDAU_DIM; d3++) gg3[fieldA][d2][d3] = -gg3_temp[d2][d3] * nu_alpha[fieldA + f_off] * invMass[fieldA + f_off]; 415 } 416 } 417 /* add electric field term once per IP */ 418 for (PetscInt fieldA = 0, f_off = ctx->species_offset[grid]; fieldA < loc_Nf; ++fieldA) gg2[fieldA][LANDAU_DIM - 1] += Eq_m[fieldA + f_off]; 419 /* Jacobian transform - g2, g3 */ 420 for (PetscInt fieldA = 0; fieldA < loc_Nf; ++fieldA) { 421 for (d = 0; d < dim; ++d) { 422 g2[fieldA][d] = 0.0; 423 for (d2 = 0; d2 < dim; ++d2) { 424 g2[fieldA][d] += invJj[d * dim + d2] * gg2[fieldA][d2]; 425 g3[fieldA][d][d2] = 0.0; 426 for (d3 = 0; d3 < dim; ++d3) { 427 for (dp = 0; dp < dim; ++dp) g3[fieldA][d][d2] += invJj[d * dim + d3] * gg3[fieldA][d3][dp] * invJj[d2 * dim + dp]; 428 } 429 g3[fieldA][d][d2] *= wj; 430 } 431 g2[fieldA][d] *= wj; 432 } 433 } 434 } else { // mass 435 PetscReal wj = ww[jpidx_glb]; 436 /* Jacobian transform - g0 */ 437 for (PetscInt fieldA = 0; fieldA < loc_Nf; ++fieldA) { 438 if (dim == 2) { 439 g0[fieldA] = wj * shift * 2. * PETSC_PI; // move this to below and remove g0 440 } else { 441 g0[fieldA] = wj * shift; // move this to below and remove g0 442 } 443 } 444 } 445 /* FE matrix construction */ 446 { 447 PetscInt fieldA, d, f, d2, g; 448 const PetscReal *BJq = &BB[qj * Nb], *DIq = &DD[qj * Nb * dim]; 449 /* assemble - on the diagonal (I,I) */ 450 for (fieldA = 0; fieldA < loc_Nf; fieldA++) { 451 for (f = 0; f < Nb; f++) { 452 const PetscInt i = fieldA * Nb + f; /* Element matrix row */ 453 for (g = 0; g < Nb; ++g) { 454 const PetscInt j = fieldA * Nb + g; /* Element matrix column */ 455 const PetscInt fOff = i * totDim + j; 456 if (shift == 0.0) { 457 for (d = 0; d < dim; ++d) { 458 elemMat[fOff] += DIq[f * dim + d] * g2[fieldA][d] * BJq[g]; 459 for (d2 = 0; d2 < dim; ++d2) elemMat[fOff] += DIq[f * dim + d] * g3[fieldA][d][d2] * DIq[g * dim + d2]; 460 } 461 } else { // mass 462 elemMat[fOff] += BJq[f] * g0[fieldA] * BJq[g]; 463 } 464 } 465 } 466 } 467 } 468 } /* qj loop */ 469 if (shift == 0.0) { // Jacobian 470 PetscCall(PetscLogEventEnd(ctx->events[4], 0, 0, 0, 0)); 471 } else { 472 PetscCall(PetscLogEventEnd(ctx->events[16], 0, 0, 0, 0)); 473 } 474 #if defined(PETSC_HAVE_THREADSAFETY) 475 endtime = MPI_Wtime(); 476 if (ctx->stage) ctx->times[LANDAU_KERNEL] += (endtime - starttime); 477 #endif 478 /* assemble matrix */ 479 if (!container) { 480 PetscInt cStart; 481 PetscCall(PetscLogEventBegin(ctx->events[6], 0, 0, 0, 0)); 482 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, NULL)); 483 PetscCall(DMPlexMatSetClosure(ctx->plex[grid], section[grid], globsection[grid], subJ[LAND_PACK_IDX(b_id, grid)], loc_elem + cStart, elemMat, ADD_VALUES)); 484 PetscCall(PetscLogEventEnd(ctx->events[6], 0, 0, 0, 0)); 485 } else { // GPU like assembly for debugging 486 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]; 487 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}; 488 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; 489 /* assemble - from the diagonal (I,I) in this format for DMPlexMatSetClosure */ 490 for (fieldA = 0; fieldA < loc_Nf; fieldA++) { 491 LandauIdx *const Idxs = &maps[grid].gIdx[loc_elem][fieldA][0]; 492 for (f = 0; f < Nb; f++) { 493 PetscInt idx = Idxs[f]; 494 if (idx >= 0) { 495 nr = 1; 496 rows0[0] = idx; 497 row_scale[0] = 1.; 498 } else { 499 idx = -idx - 1; 500 for (q = 0, nr = 0; q < maps[grid].num_face; q++, nr++) { 501 if (maps[grid].c_maps[idx][q].gid < 0) break; 502 rows0[q] = maps[grid].c_maps[idx][q].gid; 503 row_scale[q] = maps[grid].c_maps[idx][q].scale; 504 } 505 } 506 for (g = 0; g < Nb; ++g) { 507 idx = Idxs[g]; 508 if (idx >= 0) { 509 nc = 1; 510 cols0[0] = idx; 511 col_scale[0] = 1.; 512 } else { 513 idx = -idx - 1; 514 nc = maps[grid].num_face; 515 for (q = 0, nc = 0; q < maps[grid].num_face; q++, nc++) { 516 if (maps[grid].c_maps[idx][q].gid < 0) break; 517 cols0[q] = maps[grid].c_maps[idx][q].gid; 518 col_scale[q] = maps[grid].c_maps[idx][q].scale; 519 } 520 } 521 const PetscInt i = fieldA * Nb + f; /* Element matrix row */ 522 const PetscInt j = fieldA * Nb + g; /* Element matrix column */ 523 const PetscScalar Aij = elemMat[i * totDim + j]; 524 if (coo_vals) { // mirror (i,j) in CreateStaticGPUData 525 const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb; 526 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]; 527 for (int q = 0, idx2 = idx0; q < nr; q++) { 528 for (int d = 0; d < nc; d++, idx2++) coo_vals[idx2] = row_scale[q] * col_scale[d] * Aij; 529 } 530 } else { 531 for (q = 0; q < nr; q++) rows[q] = rows0[q] + moffset; 532 for (d = 0; d < nc; d++) cols[d] = cols0[d] + moffset; 533 for (q = 0; q < nr; q++) { 534 for (d = 0; d < nc; d++) vals[q * nc + d] = row_scale[q] * col_scale[d] * Aij; 535 } 536 PetscCall(MatSetValues(JacP, nr, rows, nc, cols, vals, ADD_VALUES)); 537 } 538 } 539 } 540 } 541 } 542 if (loc_elem == -1) { 543 PetscCall(PetscPrintf(ctx->comm, "CPU Element matrix\n")); 544 for (int d = 0; d < totDim; ++d) { 545 for (int f = 0; f < totDim; ++f) PetscCall(PetscPrintf(ctx->comm, " %12.5e", (double)PetscRealPart(elemMat[d * totDim + f]))); 546 PetscCall(PetscPrintf(ctx->comm, "\n")); 547 } 548 exit(12); 549 } 550 PetscCall(PetscFree(elemMat)); 551 } /* grid */ 552 } /* outer element & batch loop */ 553 if (shift == 0.0) { // mass 554 PetscCall(PetscFree4(ff, dudx, dudy, dudz)); 555 } 556 if (!container) { // 'CPU' assembly move nest matrix to global JacP 557 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // OpenMP 558 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 559 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]; 560 PetscInt nloc, nzl, colbuf[1024], row; 561 const PetscInt *cols; 562 const PetscScalar *vals; 563 Mat B = subJ[LAND_PACK_IDX(b_id, grid)]; 564 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 565 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 566 PetscCall(MatGetSize(B, &nloc, NULL)); 567 for (int i = 0; i < nloc; i++) { 568 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 569 PetscCheck(nzl <= 1024, PetscObjectComm((PetscObject)B), PETSC_ERR_PLIB, "Row too big: %" PetscInt_FMT, nzl); 570 for (int j = 0; j < nzl; j++) colbuf[j] = moffset + cols[j]; 571 row = moffset + i; 572 PetscCall(MatSetValues(JacP, 1, &row, nzl, colbuf, vals, ADD_VALUES)); 573 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 574 } 575 PetscCall(MatDestroy(&B)); 576 } 577 } 578 } 579 if (coo_vals) { 580 PetscCall(MatSetValuesCOO(JacP, coo_vals, ADD_VALUES)); 581 PetscCall(PetscFree(coo_vals)); 582 } 583 } /* CPU version */ 584 PetscCall(MatAssemblyBegin(JacP, MAT_FINAL_ASSEMBLY)); 585 PetscCall(MatAssemblyEnd(JacP, MAT_FINAL_ASSEMBLY)); 586 /* clean up */ 587 if (cellClosure) PetscCall(PetscFree(cellClosure)); 588 if (xdata) PetscCall(VecRestoreArrayReadAndMemType(a_X, &xdata)); 589 PetscFunctionReturn(PETSC_SUCCESS); 590 } 591 592 static PetscErrorCode GeometryDMLandau(DM base, PetscInt point, PetscInt dim, const PetscReal abc[], PetscReal xyz[], void *a_ctx) 593 { 594 PetscReal r = abc[0], z = abc[1]; 595 596 PetscFunctionBegin; 597 xyz[0] = r; 598 xyz[1] = z; 599 if (dim == 3) xyz[2] = abc[2]; 600 601 PetscFunctionReturn(PETSC_SUCCESS); 602 } 603 604 /* create DMComposite of meshes for each species group */ 605 static PetscErrorCode LandauDMCreateVMeshes(MPI_Comm comm_self, const PetscInt dim, const char prefix[], LandauCtx *ctx, DM pack) 606 { 607 PetscFunctionBegin; 608 { /* p4est, quads */ 609 /* Create plex mesh of Landau domain */ 610 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 611 PetscReal par_radius = ctx->radius_par[grid], perp_radius = ctx->radius_perp[grid]; 612 if (!ctx->sphere && !ctx->simplex) { // 2 or 3D (only 3D option) 613 PetscReal lo[] = {-perp_radius, -par_radius, -par_radius}, hi[] = {perp_radius, par_radius, par_radius}; 614 DMBoundaryType periodicity[3] = {DM_BOUNDARY_NONE, dim == 2 ? DM_BOUNDARY_NONE : DM_BOUNDARY_NONE, DM_BOUNDARY_NONE}; 615 if (dim == 2) lo[0] = 0; 616 else { 617 lo[1] = -perp_radius; 618 hi[1] = perp_radius; // 3D y is a perp 619 } 620 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 621 PetscCall(DMLocalizeCoordinates(ctx->plex[grid])); /* needed for periodic */ 622 if (dim == 3) PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "cube")); 623 else PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "half-plane")); 624 } else if (dim == 2) { 625 char filename[PETSC_MAX_PATH_LEN]; 626 PetscBool flg; 627 PetscCall(PetscOptionsGetString(NULL, NULL, "-dm_landau_filename", filename, sizeof(filename), &flg)); 628 if (flg) { 629 char str[] = "-dm_landau_view_file_0"; 630 str[21] += grid; 631 PetscCall(DMPlexCreateFromFile(comm_self, filename, "plexland.c", PETSC_TRUE, &ctx->plex[grid])); 632 PetscCall(PetscInfo(ctx->plex[grid], "%d) Read %s mesh file (%s)", (int)grid, filename, str)); 633 PetscCall(DMViewFromOptions(ctx->plex[grid], NULL, str)); 634 } else { 635 PetscInt numCells = ctx->simplex ? 12 : 6, cell_size = ctx->simplex ? 3 : 4, j; 636 const PetscInt numVerts = 11; 637 PetscInt cellsT[][4] = { 638 {0, 1, 6, 5 }, 639 {1, 2, 7, 6 }, 640 {2, 3, 8, 7 }, 641 {3, 4, 9, 8 }, 642 {5, 6, 7, 10}, 643 {10, 7, 8, 9 } 644 }; 645 PetscInt cellsS[][3] = { 646 {0, 1, 6 }, 647 {1, 2, 6 }, 648 {6, 2, 7 }, 649 {7, 2, 8 }, 650 {8, 2, 3 }, 651 {8, 3, 4 }, 652 {0, 6, 5 }, 653 {5, 6, 7 }, 654 {5, 7, 10}, 655 {10, 7, 9 }, 656 {9, 7, 8 }, 657 {9, 8, 4 } 658 }; 659 const PetscInt *pcell = (const PetscInt *)(ctx->simplex ? &cellsS[0][0] : &cellsT[0][0]); 660 PetscReal coords[11][2], *flatCoords = (PetscReal *)&coords[0][0]; 661 PetscReal rad = ctx->radius[grid]; 662 for (j = 0; j < 5; j++) { // outside edge 663 PetscReal z, r, theta = -PETSC_PI / 2 + (j % 5) * PETSC_PI / 4; 664 r = rad * PetscCosReal(theta); 665 coords[j][0] = r; 666 z = rad * PetscSinReal(theta); 667 coords[j][1] = z; 668 } 669 coords[j][0] = 0; 670 coords[j++][1] = -rad * ctx->sphere_inner_radius_90degree; 671 coords[j][0] = rad * ctx->sphere_inner_radius_45degree; 672 coords[j++][1] = -rad * ctx->sphere_inner_radius_45degree; 673 coords[j][0] = rad * ctx->sphere_inner_radius_90degree; 674 coords[j++][1] = 0; 675 coords[j][0] = rad * ctx->sphere_inner_radius_45degree; 676 coords[j++][1] = rad * ctx->sphere_inner_radius_45degree; 677 coords[j][0] = 0; 678 coords[j++][1] = rad * ctx->sphere_inner_radius_90degree; 679 coords[j][0] = 0; 680 coords[j++][1] = 0; 681 PetscCall(DMPlexCreateFromCellListPetsc(comm_self, 2, numCells, numVerts, cell_size, ctx->interpolate, pcell, 2, flatCoords, &ctx->plex[grid])); 682 PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "semi-circle")); 683 PetscCall(PetscInfo(ctx->plex[grid], "\t%" PetscInt_FMT ") Make circle %s mesh", grid, ctx->simplex ? "simplex" : "tensor")); 684 } 685 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Velocity space meshes does not support 3V cubed sphere or simplex"); 686 PetscCall(DMSetFromOptions(ctx->plex[grid])); 687 } // grid loop 688 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)pack, prefix)); 689 { /* convert to p4est (or whatever), wait for discretization to create pack */ 690 char convType[256]; 691 PetscBool flg; 692 693 PetscOptionsBegin(ctx->comm, prefix, "Mesh conversion options", "DMPLEX"); 694 PetscCall(PetscOptionsFList("-dm_landau_type", "Convert DMPlex to another format (p4est)", "plexland.c", DMList, DMPLEX, convType, 256, &flg)); 695 PetscOptionsEnd(); 696 if (flg) { 697 ctx->use_p4est = PETSC_TRUE; /* flag for Forest */ 698 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 699 DM dmforest; 700 PetscCall(DMConvert(ctx->plex[grid], convType, &dmforest)); 701 if (dmforest) { 702 PetscBool isForest; 703 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)dmforest, prefix)); 704 PetscCall(DMIsForest(dmforest, &isForest)); 705 if (isForest) { 706 if (ctx->sphere) PetscCall(DMForestSetBaseCoordinateMapping(dmforest, GeometryDMLandau, ctx)); 707 PetscCall(DMDestroy(&ctx->plex[grid])); 708 ctx->plex[grid] = dmforest; // Forest for adaptivity 709 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Converted to non Forest?"); 710 } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Convert failed?"); 711 } 712 } else ctx->use_p4est = PETSC_FALSE; /* flag for Forest */ 713 } 714 } /* non-file */ 715 PetscCall(DMSetDimension(pack, dim)); 716 PetscCall(PetscObjectSetName((PetscObject)pack, "Mesh")); 717 PetscCall(DMSetApplicationContext(pack, ctx)); 718 719 PetscFunctionReturn(PETSC_SUCCESS); 720 } 721 722 static PetscErrorCode SetupDS(DM pack, PetscInt dim, PetscInt grid, LandauCtx *ctx) 723 { 724 PetscInt ii, i0; 725 char buf[256]; 726 PetscSection section; 727 728 PetscFunctionBegin; 729 for (ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 730 if (ii == 0) PetscCall(PetscSNPrintf(buf, sizeof(buf), "e")); 731 else PetscCall(PetscSNPrintf(buf, sizeof(buf), "i%" PetscInt_FMT, ii)); 732 /* Setup Discretization - FEM */ 733 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, ctx->simplex, NULL, PETSC_DECIDE, &ctx->fe[ii])); 734 PetscCall(PetscObjectSetName((PetscObject)ctx->fe[ii], buf)); 735 PetscCall(DMSetField(ctx->plex[grid], i0, NULL, (PetscObject)ctx->fe[ii])); 736 } 737 PetscCall(DMCreateDS(ctx->plex[grid])); 738 PetscCall(DMGetSection(ctx->plex[grid], §ion)); 739 for (PetscInt ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 740 if (ii == 0) PetscCall(PetscSNPrintf(buf, sizeof(buf), "se")); 741 else PetscCall(PetscSNPrintf(buf, sizeof(buf), "si%" PetscInt_FMT, ii)); 742 PetscCall(PetscSectionSetComponentName(section, i0, 0, buf)); 743 } 744 PetscFunctionReturn(PETSC_SUCCESS); 745 } 746 747 /* Define a Maxwellian function for testing out the operator. */ 748 749 /* Using cartesian velocity space coordinates, the particle */ 750 /* density, [1/m^3], is defined according to */ 751 752 /* $$ n=\int_{R^3} dv^3 \left(\frac{m}{2\pi T}\right)^{3/2}\exp [- mv^2/(2T)] $$ */ 753 754 /* Using some constant, c, we normalize the velocity vector into a */ 755 /* dimensionless variable according to v=c*x. Thus the density, $n$, becomes */ 756 757 /* $$ n=\int_{R^3} dx^3 \left(\frac{mc^2}{2\pi T}\right)^{3/2}\exp [- mc^2/(2T)*x^2] $$ */ 758 759 /* Defining $\theta=2T/mc^2$, we thus find that the probability density */ 760 /* for finding the particle within the interval in a box dx^3 around x is */ 761 762 /* f(x;\theta)=\left(\frac{1}{\pi\theta}\right)^{3/2} \exp [ -x^2/\theta ] */ 763 764 typedef struct { 765 PetscReal v_0; 766 PetscReal kT_m; 767 PetscReal n; 768 PetscReal shift; 769 } MaxwellianCtx; 770 771 static PetscErrorCode maxwellian(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx) 772 { 773 MaxwellianCtx *mctx = (MaxwellianCtx *)actx; 774 PetscInt i; 775 PetscReal v2 = 0, theta = 2 * mctx->kT_m / (mctx->v_0 * mctx->v_0), shift; /* theta = 2kT/mc^2 */ 776 PetscFunctionBegin; 777 /* compute the exponents, v^2 */ 778 for (i = 0; i < dim; ++i) v2 += x[i] * x[i]; 779 /* evaluate the Maxwellian */ 780 if (mctx->shift < 0) shift = -mctx->shift; 781 else { 782 u[0] = mctx->n * PetscPowReal(PETSC_PI * theta, -1.5) * (PetscExpReal(-v2 / theta)); 783 shift = mctx->shift; 784 } 785 if (shift != 0.) { 786 v2 = 0; 787 for (i = 0; i < dim - 1; ++i) v2 += x[i] * x[i]; 788 v2 += (x[dim - 1] - shift) * (x[dim - 1] - shift); 789 /* evaluate the shifted Maxwellian */ 790 u[0] += mctx->n * PetscPowReal(PETSC_PI * theta, -1.5) * (PetscExpReal(-v2 / theta)); 791 } 792 PetscFunctionReturn(PETSC_SUCCESS); 793 } 794 795 /*@ 796 DMPlexLandauAddMaxwellians - Add a Maxwellian distribution to a state 797 798 Collective 799 800 Input Parameters: 801 . dm - The mesh (local) 802 + time - Current time 803 - temps - Temperatures of each species (global) 804 . ns - Number density of each species (global) 805 - grid - index into current grid - just used for offset into temp and ns 806 . b_id - batch index 807 - n_batch - number of batches 808 + actx - Landau context 809 810 Output Parameter: 811 . X - The state (local to this grid) 812 813 Level: beginner 814 815 .keywords: mesh 816 .seealso: `DMPlexLandauCreateVelocitySpace()` 817 @*/ 818 PetscErrorCode DMPlexLandauAddMaxwellians(DM dm, Vec X, PetscReal time, PetscReal temps[], PetscReal ns[], PetscInt grid, PetscInt b_id, PetscInt n_batch, void *actx) 819 { 820 LandauCtx *ctx = (LandauCtx *)actx; 821 PetscErrorCode (*initu[LANDAU_MAX_SPECIES])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *); 822 PetscInt dim; 823 MaxwellianCtx *mctxs[LANDAU_MAX_SPECIES], data[LANDAU_MAX_SPECIES]; 824 825 PetscFunctionBegin; 826 PetscCall(DMGetDimension(dm, &dim)); 827 if (!ctx) PetscCall(DMGetApplicationContext(dm, &ctx)); 828 for (PetscInt ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 829 mctxs[i0] = &data[i0]; 830 data[i0].v_0 = ctx->v_0; // v_0 same for all grids 831 data[i0].kT_m = ctx->k * temps[ii] / ctx->masses[ii]; /* kT/m */ 832 data[i0].n = ns[ii]; 833 initu[i0] = maxwellian; 834 data[i0].shift = 0; 835 } 836 data[0].shift = ctx->electronShift; 837 /* need to make ADD_ALL_VALUES work - TODO */ 838 PetscCall(DMProjectFunction(dm, time, initu, (void **)mctxs, INSERT_ALL_VALUES, X)); 839 PetscFunctionReturn(PETSC_SUCCESS); 840 } 841 842 /* 843 LandauSetInitialCondition - Adds Maxwellians with context 844 845 Collective 846 847 Input Parameters: 848 . dm - The mesh 849 - grid - index into current grid - just used for offset into temp and ns 850 . b_id - batch index 851 - n_batch - number of batches 852 + actx - Landau context with T and n 853 854 Output Parameter: 855 . X - The state 856 857 Level: beginner 858 859 .keywords: mesh 860 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauAddMaxwellians()` 861 */ 862 static PetscErrorCode LandauSetInitialCondition(DM dm, Vec X, PetscInt grid, PetscInt b_id, PetscInt n_batch, void *actx) 863 { 864 LandauCtx *ctx = (LandauCtx *)actx; 865 PetscFunctionBegin; 866 if (!ctx) PetscCall(DMGetApplicationContext(dm, &ctx)); 867 PetscCall(VecZeroEntries(X)); 868 PetscCall(DMPlexLandauAddMaxwellians(dm, X, 0.0, ctx->thermal_temps, ctx->n, grid, b_id, n_batch, ctx)); 869 PetscFunctionReturn(PETSC_SUCCESS); 870 } 871 872 // adapt a level once. Forest in/out 873 #if defined(PETSC_USE_INFO) 874 static const char *s_refine_names[] = {"RE", "Z1", "Origin", "Z2", "Uniform"}; 875 #endif 876 static PetscErrorCode adaptToleranceFEM(PetscFE fem, Vec sol, PetscInt type, PetscInt grid, LandauCtx *ctx, DM *newForest) 877 { 878 DM forest, plex, adaptedDM = NULL; 879 PetscDS prob; 880 PetscBool isForest; 881 PetscQuadrature quad; 882 PetscInt Nq, *Nb, cStart, cEnd, c, dim, qj, k; 883 DMLabel adaptLabel = NULL; 884 885 PetscFunctionBegin; 886 forest = ctx->plex[grid]; 887 PetscCall(DMCreateDS(forest)); 888 PetscCall(DMGetDS(forest, &prob)); 889 PetscCall(DMGetDimension(forest, &dim)); 890 PetscCall(DMIsForest(forest, &isForest)); 891 PetscCheck(isForest, ctx->comm, PETSC_ERR_ARG_WRONG, "! Forest"); 892 PetscCall(DMConvert(forest, DMPLEX, &plex)); 893 PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd)); 894 PetscCall(DMLabelCreate(PETSC_COMM_SELF, "adapt", &adaptLabel)); 895 PetscCall(PetscFEGetQuadrature(fem, &quad)); 896 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, NULL)); 897 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); 898 PetscCall(PetscDSGetDimensions(prob, &Nb)); 899 PetscCall(PetscInfo(sol, "%" PetscInt_FMT ") Refine phase: %s\n", grid, s_refine_names[type])); 900 if (type == 4) { 901 for (c = cStart; c < cEnd; c++) PetscCall(DMLabelSetValue(adaptLabel, c, DM_ADAPT_REFINE)); 902 } else if (type == 2) { 903 PetscInt rCellIdx[8], nr = 0, nrmax = (dim == 3) ? 8 : 2; 904 PetscReal minRad = PETSC_INFINITY, r; 905 for (c = cStart; c < cEnd; c++) { 906 PetscReal tt, v0[LANDAU_MAX_NQ * 3], detJ[LANDAU_MAX_NQ]; 907 PetscCall(DMPlexComputeCellGeometryFEM(plex, c, quad, v0, NULL, NULL, detJ)); 908 for (qj = 0; qj < Nq; ++qj) { 909 tt = PetscSqr(v0[dim * qj + 0]) + PetscSqr(v0[dim * qj + 1]) + PetscSqr(((dim == 3) ? v0[dim * qj + 2] : 0)); 910 r = PetscSqrtReal(tt); 911 if (r < minRad - PETSC_SQRT_MACHINE_EPSILON * 10.) { 912 minRad = r; 913 nr = 0; 914 rCellIdx[nr++] = c; 915 PetscCall(PetscInfo(sol, "\t\t%" PetscInt_FMT ") Found first inner r=%e, cell %" PetscInt_FMT ", qp %" PetscInt_FMT "/%" PetscInt_FMT "\n", grid, (double)r, c, qj + 1, Nq)); 916 } else if ((r - minRad) < PETSC_SQRT_MACHINE_EPSILON * 100. && nr < nrmax) { 917 for (k = 0; k < nr; k++) 918 if (c == rCellIdx[k]) break; 919 if (k == nr) { 920 rCellIdx[nr++] = c; 921 PetscCall(PetscInfo(sol, "\t\t\t%" PetscInt_FMT ") Found another inner r=%e, cell %" PetscInt_FMT ", qp %" PetscInt_FMT "/%" PetscInt_FMT ", d=%e\n", grid, (double)r, c, qj + 1, Nq, (double)(r - minRad))); 922 } 923 } 924 } 925 } 926 for (k = 0; k < nr; k++) PetscCall(DMLabelSetValue(adaptLabel, rCellIdx[k], DM_ADAPT_REFINE)); 927 PetscCall(PetscInfo(sol, "\t\t\t%" PetscInt_FMT ") Refined %" PetscInt_FMT " origin cells %" PetscInt_FMT ",%" PetscInt_FMT " r=%g\n", grid, nr, rCellIdx[0], rCellIdx[1], (double)minRad)); 928 } else if (type == 0 || type == 1 || type == 3) { /* refine along r=0 axis */ 929 PetscScalar *coef = NULL; 930 Vec coords; 931 PetscInt csize, Nv, d, nz, nrefined = 0; 932 DM cdm; 933 PetscSection cs; 934 PetscCall(DMGetCoordinatesLocal(forest, &coords)); 935 PetscCall(DMGetCoordinateDM(forest, &cdm)); 936 PetscCall(DMGetLocalSection(cdm, &cs)); 937 for (c = cStart; c < cEnd; c++) { 938 PetscInt doit = 0, outside = 0; 939 PetscCall(DMPlexVecGetClosure(cdm, cs, coords, c, &csize, &coef)); 940 Nv = csize / dim; 941 for (nz = d = 0; d < Nv; d++) { 942 PetscReal z = PetscRealPart(coef[d * dim + (dim - 1)]), x = PetscSqr(PetscRealPart(coef[d * dim + 0])) + ((dim == 3) ? PetscSqr(PetscRealPart(coef[d * dim + 1])) : 0); 943 x = PetscSqrtReal(x); 944 if (type == 0) { 945 if (ctx->re_radius > PETSC_SQRT_MACHINE_EPSILON && (z < -PETSC_MACHINE_EPSILON * 10. || z > ctx->re_radius + PETSC_MACHINE_EPSILON * 10.)) outside++; /* first pass don't refine bottom */ 946 } else if (type == 1 && (z > ctx->vperp0_radius1 || z < -ctx->vperp0_radius1)) { 947 outside++; /* don't refine outside electron refine radius */ 948 PetscCall(PetscInfo(sol, "\t%" PetscInt_FMT ") (debug) found %s cells\n", grid, s_refine_names[type])); 949 } else if (type == 3 && (z > ctx->vperp0_radius2 || z < -ctx->vperp0_radius2)) { 950 outside++; /* refine r=0 cells on refinement front */ 951 PetscCall(PetscInfo(sol, "\t%" PetscInt_FMT ") (debug) found %s cells\n", grid, s_refine_names[type])); 952 } 953 if (x < PETSC_MACHINE_EPSILON * 10. && (type != 0 || ctx->re_radius > PETSC_SQRT_MACHINE_EPSILON)) nz++; 954 } 955 PetscCall(DMPlexVecRestoreClosure(cdm, cs, coords, c, &csize, &coef)); 956 if (doit || (outside < Nv && nz)) { 957 PetscCall(DMLabelSetValue(adaptLabel, c, DM_ADAPT_REFINE)); 958 nrefined++; 959 } 960 } 961 PetscCall(PetscInfo(sol, "\t%" PetscInt_FMT ") Refined %" PetscInt_FMT " cells\n", grid, nrefined)); 962 } 963 PetscCall(DMDestroy(&plex)); 964 PetscCall(DMAdaptLabel(forest, adaptLabel, &adaptedDM)); 965 PetscCall(DMLabelDestroy(&adaptLabel)); 966 *newForest = adaptedDM; 967 if (adaptedDM) { 968 if (isForest) { 969 PetscCall(DMForestSetAdaptivityForest(adaptedDM, NULL)); // ???? 970 } 971 PetscCall(DMConvert(adaptedDM, DMPLEX, &plex)); 972 PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd)); 973 PetscCall(PetscInfo(sol, "\t\t\t\t%" PetscInt_FMT ") %" PetscInt_FMT " cells, %" PetscInt_FMT " total quadrature points\n", grid, cEnd - cStart, Nq * (cEnd - cStart))); 974 PetscCall(DMDestroy(&plex)); 975 } else *newForest = NULL; 976 PetscFunctionReturn(PETSC_SUCCESS); 977 } 978 979 // forest goes in (ctx->plex[grid]), plex comes out 980 static PetscErrorCode adapt(PetscInt grid, LandauCtx *ctx, Vec *uu) 981 { 982 PetscInt adaptIter; 983 984 PetscFunctionBegin; 985 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]}; 986 for (type = 0; type < 5; type++) { 987 for (adaptIter = 0; adaptIter < limits[type]; adaptIter++) { 988 DM newForest = NULL; 989 PetscCall(adaptToleranceFEM(ctx->fe[0], *uu, type, grid, ctx, &newForest)); 990 if (newForest) { 991 PetscCall(DMDestroy(&ctx->plex[grid])); 992 PetscCall(VecDestroy(uu)); 993 PetscCall(DMCreateGlobalVector(newForest, uu)); 994 PetscCall(PetscObjectSetName((PetscObject)*uu, "uAMR")); 995 PetscCall(LandauSetInitialCondition(newForest, *uu, grid, 0, 1, ctx)); 996 ctx->plex[grid] = newForest; 997 } else { 998 PetscCall(PetscInfo(*uu, "No refinement\n")); 999 } 1000 } 1001 } 1002 PetscFunctionReturn(PETSC_SUCCESS); 1003 } 1004 1005 // make log(Lambdas) from NRL Plasma formulary 1006 static PetscErrorCode makeLambdas(LandauCtx *ctx) 1007 { 1008 PetscFunctionBegin; 1009 for (PetscInt gridi = 0; gridi < ctx->num_grids; gridi++) { 1010 int iii = ctx->species_offset[gridi]; 1011 PetscReal Ti_ev = (ctx->thermal_temps[iii] / 1.1604525e7) * 1000; // convert (back) to eV 1012 PetscReal ni = ctx->n[iii] * ctx->n_0; 1013 for (PetscInt gridj = gridi; gridj < ctx->num_grids; gridj++) { 1014 PetscInt jjj = ctx->species_offset[gridj]; 1015 PetscReal Zj = ctx->charges[jjj] / 1.6022e-19; 1016 if (gridi == 0) { 1017 if (gridj == 0) { // lam_ee 1018 ctx->lambdas[gridi][gridj] = 23.5 - PetscLogReal(PetscSqrtReal(ni) * PetscPowReal(Ti_ev, -1.25)) - PetscSqrtReal(1e-5 + PetscSqr(PetscLogReal(Ti_ev) - 2) / 16); 1019 } else { // lam_ei == lam_ie 1020 if (10 * Zj * Zj > Ti_ev) { 1021 ctx->lambdas[gridi][gridj] = ctx->lambdas[gridj][gridi] = 23 - PetscLogReal(PetscSqrtReal(ni) * Zj * PetscPowReal(Ti_ev, -1.5)); 1022 } else { 1023 ctx->lambdas[gridi][gridj] = ctx->lambdas[gridj][gridi] = 24 - PetscLogReal(PetscSqrtReal(ni) / Ti_ev); 1024 } 1025 } 1026 } else { // lam_ii' 1027 PetscReal mui = ctx->masses[iii] / 1.6720e-27, Zi = ctx->charges[iii] / 1.6022e-19; 1028 PetscReal Tj_ev = (ctx->thermal_temps[jjj] / 1.1604525e7) * 1000; // convert (back) to eV 1029 PetscReal muj = ctx->masses[jjj] / 1.6720e-27; 1030 PetscReal nj = ctx->n[jjj] * ctx->n_0; 1031 ctx->lambdas[gridi][gridj] = ctx->lambdas[gridj][gridi] = 23 - PetscLogReal(Zi * Zj * (mui + muj) / (mui * Tj_ev + muj * Ti_ev) * PetscSqrtReal(ni * Zi * Zi / Ti_ev + nj * Zj * Zj / Tj_ev)); 1032 } 1033 } 1034 } 1035 //PetscReal v0 = PetscSqrtReal(ctx->k * ctx->thermal_temps[iii] / ctx->masses[iii]); /* arbitrary units for non-dimensionalization: plasma formulary def */ 1036 PetscFunctionReturn(PETSC_SUCCESS); 1037 } 1038 1039 static PetscErrorCode ProcessOptions(LandauCtx *ctx, const char prefix[]) 1040 { 1041 PetscBool flg; 1042 PetscInt ii, nt, nm, nc, num_species_grid[LANDAU_MAX_GRIDS], non_dim_grid; 1043 PetscReal v0_grid[LANDAU_MAX_GRIDS], lnLam = 10; 1044 DM dummy; 1045 1046 PetscFunctionBegin; 1047 PetscCall(DMCreate(ctx->comm, &dummy)); 1048 /* get options - initialize context */ 1049 ctx->verbose = 1; // should be 0 for silent compliance 1050 ctx->batch_sz = 1; 1051 ctx->batch_view_idx = 0; 1052 ctx->interpolate = PETSC_TRUE; 1053 ctx->gpu_assembly = PETSC_TRUE; 1054 ctx->norm_state = 0; 1055 ctx->electronShift = 0; 1056 ctx->M = NULL; 1057 ctx->J = NULL; 1058 /* geometry and grids */ 1059 ctx->sphere = PETSC_FALSE; 1060 ctx->use_p4est = PETSC_FALSE; 1061 ctx->simplex = PETSC_FALSE; 1062 for (PetscInt grid = 0; grid < LANDAU_MAX_GRIDS; grid++) { 1063 ctx->radius[grid] = 5.; /* thermal radius (velocity) */ 1064 ctx->radius_perp[grid] = 5.; /* thermal radius (velocity) */ 1065 ctx->radius_par[grid] = 5.; /* thermal radius (velocity) */ 1066 ctx->numAMRRefine[grid] = 0; 1067 ctx->postAMRRefine[grid] = 0; 1068 ctx->species_offset[grid + 1] = 1; // one species default 1069 num_species_grid[grid] = 0; 1070 ctx->plex[grid] = NULL; /* cache as expensive to Convert */ 1071 } 1072 ctx->species_offset[0] = 0; 1073 ctx->re_radius = 0.; 1074 ctx->vperp0_radius1 = 0; 1075 ctx->vperp0_radius2 = 0; 1076 ctx->nZRefine1 = 0; 1077 ctx->nZRefine2 = 0; 1078 ctx->numRERefine = 0; 1079 num_species_grid[0] = 1; // one species default 1080 /* species - [0] electrons, [1] one ion species eg, duetarium, [2] heavy impurity ion, ... */ 1081 ctx->charges[0] = -1; /* electron charge (MKS) */ 1082 ctx->masses[0] = 1 / 1835.469965278441013; /* temporary value in proton mass */ 1083 ctx->n[0] = 1; 1084 ctx->v_0 = 1; /* thermal velocity, we could start with a scale != 1 */ 1085 ctx->thermal_temps[0] = 1; 1086 /* constants, etc. */ 1087 ctx->epsilon0 = 8.8542e-12; /* permittivity of free space (MKS) F/m */ 1088 ctx->k = 1.38064852e-23; /* Boltzmann constant (MKS) J/K */ 1089 ctx->n_0 = 1.e20; /* typical plasma n, but could set it to 1 */ 1090 ctx->Ez = 0; 1091 for (PetscInt grid = 0; grid < LANDAU_NUM_TIMERS; grid++) ctx->times[grid] = 0; 1092 for (PetscInt ii = 0; ii < LANDAU_DIM; ii++) ctx->cells0[ii] = 2; 1093 if (LANDAU_DIM == 2) ctx->cells0[0] = 1; 1094 ctx->use_matrix_mass = PETSC_FALSE; 1095 ctx->use_relativistic_corrections = PETSC_FALSE; 1096 ctx->use_energy_tensor_trick = PETSC_FALSE; /* Use Eero's trick for energy conservation v --> grad(v^2/2) */ 1097 ctx->SData_d.w = NULL; 1098 ctx->SData_d.x = NULL; 1099 ctx->SData_d.y = NULL; 1100 ctx->SData_d.z = NULL; 1101 ctx->SData_d.invJ = NULL; 1102 ctx->jacobian_field_major_order = PETSC_FALSE; 1103 ctx->SData_d.coo_elem_offsets = NULL; 1104 ctx->SData_d.coo_elem_point_offsets = NULL; 1105 ctx->SData_d.coo_elem_fullNb = NULL; 1106 ctx->SData_d.coo_size = 0; 1107 PetscOptionsBegin(ctx->comm, prefix, "Options for Fokker-Plank-Landau collision operator", "none"); 1108 { 1109 char opstring[256]; 1110 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1111 ctx->deviceType = LANDAU_KOKKOS; 1112 PetscCall(PetscStrncpy(opstring, "kokkos", sizeof(opstring))); 1113 #else 1114 ctx->deviceType = LANDAU_CPU; 1115 PetscCall(PetscStrncpy(opstring, "cpu", sizeof(opstring))); 1116 #endif 1117 PetscCall(PetscOptionsString("-dm_landau_device_type", "Use kernels on 'cpu' 'kokkos'", "plexland.c", opstring, opstring, sizeof(opstring), NULL)); 1118 PetscCall(PetscStrcmp("cpu", opstring, &flg)); 1119 if (flg) { 1120 ctx->deviceType = LANDAU_CPU; 1121 } else { 1122 PetscCall(PetscStrcmp("kokkos", opstring, &flg)); 1123 if (flg) ctx->deviceType = LANDAU_KOKKOS; 1124 else SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_device_type %s", opstring); 1125 } 1126 } 1127 PetscCall(PetscOptionsReal("-dm_landau_electron_shift", "Shift in thermal velocity of electrons", "none", ctx->electronShift, &ctx->electronShift, NULL)); 1128 PetscCall(PetscOptionsInt("-dm_landau_verbose", "Level of verbosity output", "plexland.c", ctx->verbose, &ctx->verbose, NULL)); 1129 PetscCall(PetscOptionsInt("-dm_landau_batch_size", "Number of 'vertices' to batch", "ex2.c", ctx->batch_sz, &ctx->batch_sz, NULL)); 1130 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); 1131 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)); 1132 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); 1133 PetscCall(PetscOptionsReal("-dm_landau_Ez", "Initial parallel electric field in unites of Conner-Hastie critical field", "plexland.c", ctx->Ez, &ctx->Ez, NULL)); 1134 PetscCall(PetscOptionsReal("-dm_landau_n_0", "Normalization constant for number density", "plexland.c", ctx->n_0, &ctx->n_0, NULL)); 1135 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)); 1136 PetscCall(PetscOptionsBool("-dm_landau_use_relativistic_corrections", "Use relativistic corrections", "plexland.c", ctx->use_relativistic_corrections, &ctx->use_relativistic_corrections, NULL)); 1137 PetscCall(PetscOptionsBool("-dm_landau_simplex", "Use simplex elements", "plexland.c", ctx->simplex, &ctx->simplex, NULL)); 1138 if (LANDAU_DIM == 2 && ctx->use_relativistic_corrections) ctx->use_relativistic_corrections = PETSC_FALSE; // should warn 1139 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, 1140 &ctx->use_energy_tensor_trick, NULL)); 1141 1142 /* get num species with temperature, set defaults */ 1143 for (ii = 1; ii < LANDAU_MAX_SPECIES; ii++) { 1144 ctx->thermal_temps[ii] = 1; 1145 ctx->charges[ii] = 1; 1146 ctx->masses[ii] = 1; 1147 ctx->n[ii] = 1; 1148 } 1149 nt = LANDAU_MAX_SPECIES; 1150 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)); 1151 if (flg) { 1152 PetscCall(PetscInfo(dummy, "num_species set to number of thermal temps provided (%" PetscInt_FMT ")\n", nt)); 1153 ctx->num_species = nt; 1154 } else SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_thermal_temps ,t1,t2,.. must be provided to set the number of species"); 1155 for (ii = 0; ii < ctx->num_species; ii++) ctx->thermal_temps[ii] *= 1.1604525e7; /* convert to Kelvin */ 1156 nm = LANDAU_MAX_SPECIES - 1; 1157 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)); 1158 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); 1159 nm = LANDAU_MAX_SPECIES; 1160 PetscCall(PetscOptionsRealArray("-dm_landau_n", "Number density of each species = n_s * n_0", "plexland.c", ctx->n, &nm, &flg)); 1161 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); 1162 for (ii = 0; ii < LANDAU_MAX_SPECIES; ii++) ctx->masses[ii] *= 1.6720e-27; /* scale by proton mass kg */ 1163 ctx->masses[0] = 9.10938356e-31; /* electron mass kg (should be about right already) */ 1164 nc = LANDAU_MAX_SPECIES - 1; 1165 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)); 1166 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); 1167 for (ii = 0; ii < LANDAU_MAX_SPECIES; ii++) ctx->charges[ii] *= 1.6022e-19; /* electron/proton charge (MKS) */ 1168 /* geometry and grids */ 1169 nt = LANDAU_MAX_GRIDS; 1170 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)); 1171 if (flg) { 1172 ctx->num_grids = nt; 1173 for (ii = nt = 0; ii < ctx->num_grids; ii++) nt += num_species_grid[ii]; 1174 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, 1175 ctx->num_grids, LANDAU_MAX_GRIDS); 1176 } else { 1177 ctx->num_grids = 1; // go back to a single grid run 1178 num_species_grid[0] = ctx->num_species; 1179 } 1180 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]; 1181 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], 1182 ctx->num_species); 1183 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1184 int iii = ctx->species_offset[grid]; // normalize with first (arbitrary) species on grid 1185 v0_grid[grid] = PetscSqrtReal(ctx->k * ctx->thermal_temps[iii] / ctx->masses[iii]); /* arbitrary units for non-dimensionalization: plasma formulary def */ 1186 } 1187 // get lambdas here because we need them for t_0 etc 1188 PetscCall(PetscOptionsReal("-dm_landau_ln_lambda", "Universal cross section parameter. Default uses NRL formulas", "plexland.c", lnLam, &lnLam, &flg)); 1189 if (flg) { 1190 for (PetscInt grid = 0; grid < LANDAU_MAX_GRIDS; grid++) { 1191 for (PetscInt gridj = 0; gridj < LANDAU_MAX_GRIDS; gridj++) ctx->lambdas[gridj][grid] = lnLam; /* cross section ratio large - small angle collisions */ 1192 } 1193 } else { 1194 PetscCall(makeLambdas(ctx)); 1195 } 1196 non_dim_grid = 0; 1197 PetscCall(PetscOptionsInt("-dm_landau_normalization_grid", "Index of grid to use for setting v_0, m_0, t_0. (Not recommended)", "plexland.c", non_dim_grid, &non_dim_grid, &flg)); 1198 if (non_dim_grid != 0) PetscCall(PetscInfo(dummy, "Normalization grid set to %" PetscInt_FMT ", but non-default not well verified\n", non_dim_grid)); 1199 PetscCheck(non_dim_grid >= 0 && non_dim_grid < ctx->num_species, ctx->comm, PETSC_ERR_ARG_WRONG, "Normalization grid wrong: %" PetscInt_FMT, non_dim_grid); 1200 ctx->v_0 = v0_grid[non_dim_grid]; /* arbitrary units for non dimensionalization: global mean velocity in 1D of electrons */ 1201 ctx->m_0 = ctx->masses[non_dim_grid]; /* arbitrary reference mass, electrons */ 1202 ctx->t_0 = 8 * PETSC_PI * PetscSqr(ctx->epsilon0 * ctx->m_0 / PetscSqr(ctx->charges[non_dim_grid])) / ctx->lambdas[non_dim_grid][non_dim_grid] / ctx->n_0 * PetscPowReal(ctx->v_0, 3); /* note, this t_0 makes nu[non_dim_grid,non_dim_grid]=1 */ 1203 /* domain */ 1204 nt = LANDAU_MAX_GRIDS; 1205 PetscCall(PetscOptionsRealArray("-dm_landau_domain_radius", "Phase space size in units of thermal velocity of grid", "plexland.c", ctx->radius, &nt, &flg)); 1206 if (flg) { 1207 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); 1208 while (nt--) ctx->radius_par[nt] = ctx->radius_perp[nt] = ctx->radius[nt]; 1209 } else { 1210 nt = LANDAU_MAX_GRIDS; 1211 PetscCall(PetscOptionsRealArray("-dm_landau_domain_max_par", "Parallel velocity domain size in units of thermal velocity of grid", "plexland.c", ctx->radius_par, &nt, &flg)); 1212 if (flg) PetscCheck(nt >= ctx->num_grids, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_domain_max_par: given %" PetscInt_FMT " radius != number grids %" PetscInt_FMT, nt, ctx->num_grids); 1213 PetscCall(PetscOptionsRealArray("-dm_landau_domain_max_perp", "Perpendicular velocity domain size in units of thermal velocity of grid", "plexland.c", ctx->radius_perp, &nt, &flg)); 1214 if (flg) PetscCheck(nt >= ctx->num_grids, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_domain_max_perp: given %" PetscInt_FMT " radius != number grids %" PetscInt_FMT, nt, ctx->num_grids); 1215 } 1216 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1217 if (flg && ctx->radius[grid] <= 0) { /* negative is ratio of c - need to set par and perp with this -- todo */ 1218 if (ctx->radius[grid] == 0) ctx->radius[grid] = 0.75; 1219 else ctx->radius[grid] = -ctx->radius[grid]; 1220 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) 1221 PetscCall(PetscInfo(dummy, "Change domain radius to %g for grid %" PetscInt_FMT "\n", (double)ctx->radius[grid], grid)); 1222 } 1223 ctx->radius[grid] *= v0_grid[grid] / ctx->v_0; // scale domain by thermal radius relative to v_0 1224 ctx->radius_perp[grid] *= v0_grid[grid] / ctx->v_0; // scale domain by thermal radius relative to v_0 1225 ctx->radius_par[grid] *= v0_grid[grid] / ctx->v_0; // scale domain by thermal radius relative to v_0 1226 } 1227 /* amr parameters */ 1228 nt = LANDAU_MAX_GRIDS; 1229 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)); 1230 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); 1231 nt = LANDAU_MAX_GRIDS; 1232 PetscCall(PetscOptionsIntArray("-dm_landau_amr_post_refine", "Number of levels to uniformly refine after AMR", "plexland.c", ctx->postAMRRefine, &nt, &flg)); 1233 for (ii = 1; ii < ctx->num_grids; ii++) ctx->postAMRRefine[ii] = ctx->postAMRRefine[0]; // all grids the same now 1234 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)); 1235 PetscCall(PetscOptionsInt("-dm_landau_amr_z_refine_pre", "Number of levels to refine along v_perp=0 before origin refine", "plexland.c", ctx->nZRefine1, &ctx->nZRefine1, &flg)); 1236 PetscCall(PetscOptionsInt("-dm_landau_amr_z_refine_post", "Number of levels to refine along v_perp=0 after origin refine", "plexland.c", ctx->nZRefine2, &ctx->nZRefine2, &flg)); 1237 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)); 1238 PetscCall(PetscOptionsReal("-dm_landau_z_radius_pre", "velocity range to refine r=0 axis (for electrons)", "plexland.c", ctx->vperp0_radius1, &ctx->vperp0_radius1, &flg)); 1239 PetscCall(PetscOptionsReal("-dm_landau_z_radius_post", "velocity range to refine r=0 axis (for electrons) after origin AMR", "plexland.c", ctx->vperp0_radius2, &ctx->vperp0_radius2, &flg)); 1240 /* spherical domain (not used) */ 1241 PetscCall(PetscOptionsBool("-dm_landau_sphere", "use sphere/semi-circle domain instead of rectangle", "plexland.c", ctx->sphere, &ctx->sphere, NULL)); 1242 if (ctx->sphere || ctx->simplex) { 1243 ctx->sphere_inner_radius_90degree = 0.40; 1244 ctx->sphere_inner_radius_45degree = 0.35; 1245 PetscCall(PetscOptionsReal("-dm_landau_sphere_inner_radius_90degree_scale", "Scaling of radius for inner circle on 90 degree grid", "plexland.c", ctx->sphere_inner_radius_90degree, &ctx->sphere_inner_radius_90degree, NULL)); 1246 PetscCall(PetscOptionsReal("-dm_landau_sphere_inner_radius_45degree_scale", "Scaling of radius for inner circle on 45 degree grid", "plexland.c", ctx->sphere_inner_radius_45degree, &ctx->sphere_inner_radius_45degree, NULL)); 1247 } else { 1248 nt = LANDAU_DIM; 1249 PetscCall(PetscOptionsIntArray("-dm_landau_num_cells", "Number of cells in each dimension of base grid", "plexland.c", ctx->cells0, &nt, &flg)); 1250 } 1251 /* processing options */ 1252 PetscCall(PetscOptionsBool("-dm_landau_gpu_assembly", "Assemble Jacobian on GPU", "plexland.c", ctx->gpu_assembly, &ctx->gpu_assembly, NULL)); 1253 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)); 1254 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"); 1255 PetscCheck(!ctx->jacobian_field_major_order, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_jacobian_field_major_order DEPRECATED"); 1256 PetscOptionsEnd(); 1257 1258 for (ii = ctx->num_species; ii < LANDAU_MAX_SPECIES; ii++) ctx->masses[ii] = ctx->thermal_temps[ii] = ctx->charges[ii] = 0; 1259 if (ctx->verbose != 0) { 1260 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "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))); 1261 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "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))); 1262 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "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))); 1263 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "thermal T (K): e=%10.3e i=%10.3e %10.3e. Normalization grid %d: v_0=%10.3e (%10.3ec) n_0=%10.3e t_0=%10.3e %" PetscInt_FMT " batched, view batch %" PetscInt_FMT "\n", (double)ctx->thermal_temps[0], 1264 (double)ctx->thermal_temps[1], (double)((ctx->num_species > 2) ? ctx->thermal_temps[2] : 0), (int)non_dim_grid, (double)ctx->v_0, (double)(ctx->v_0 / SPEED_OF_LIGHT), (double)ctx->n_0, (double)ctx->t_0, ctx->batch_sz, ctx->batch_view_idx)); 1265 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Domain radius (AMR levels) grid %d: par=%10.3e perp=%10.3e (%" PetscInt_FMT ") ", 0, (double)ctx->radius_par[0], (double)ctx->radius_perp[0], ctx->numAMRRefine[0])); 1266 for (ii = 1; ii < ctx->num_grids; ii++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, ", %" PetscInt_FMT ": par=%10.3e perp=%10.3e (%" PetscInt_FMT ") ", ii, (double)ctx->radius_par[ii], (double)ctx->radius_perp[ii], ctx->numAMRRefine[ii])); 1267 if (ctx->use_relativistic_corrections) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\nUse relativistic corrections\n")); 1268 else PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n")); 1269 } 1270 PetscCall(DMDestroy(&dummy)); 1271 { 1272 PetscMPIInt rank; 1273 PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank)); 1274 ctx->stage = 0; 1275 PetscCall(PetscLogEventRegister("Landau Create", DM_CLASSID, &ctx->events[13])); /* 13 */ 1276 PetscCall(PetscLogEventRegister(" GPU ass. setup", DM_CLASSID, &ctx->events[2])); /* 2 */ 1277 PetscCall(PetscLogEventRegister(" Build matrix", DM_CLASSID, &ctx->events[12])); /* 12 */ 1278 PetscCall(PetscLogEventRegister(" Assembly maps", DM_CLASSID, &ctx->events[15])); /* 15 */ 1279 PetscCall(PetscLogEventRegister("Landau Mass mat", DM_CLASSID, &ctx->events[14])); /* 14 */ 1280 PetscCall(PetscLogEventRegister("Landau Operator", DM_CLASSID, &ctx->events[11])); /* 11 */ 1281 PetscCall(PetscLogEventRegister("Landau Jacobian", DM_CLASSID, &ctx->events[0])); /* 0 */ 1282 PetscCall(PetscLogEventRegister("Landau Mass", DM_CLASSID, &ctx->events[9])); /* 9 */ 1283 PetscCall(PetscLogEventRegister(" Preamble", DM_CLASSID, &ctx->events[10])); /* 10 */ 1284 PetscCall(PetscLogEventRegister(" static IP Data", DM_CLASSID, &ctx->events[7])); /* 7 */ 1285 PetscCall(PetscLogEventRegister(" dynamic IP-Jac", DM_CLASSID, &ctx->events[1])); /* 1 */ 1286 PetscCall(PetscLogEventRegister(" Kernel-init", DM_CLASSID, &ctx->events[3])); /* 3 */ 1287 PetscCall(PetscLogEventRegister(" Jac-f-df (GPU)", DM_CLASSID, &ctx->events[8])); /* 8 */ 1288 PetscCall(PetscLogEventRegister(" J Kernel (GPU)", DM_CLASSID, &ctx->events[4])); /* 4 */ 1289 PetscCall(PetscLogEventRegister(" M Kernel (GPU)", DM_CLASSID, &ctx->events[16])); /* 16 */ 1290 PetscCall(PetscLogEventRegister(" Copy to CPU", DM_CLASSID, &ctx->events[5])); /* 5 */ 1291 PetscCall(PetscLogEventRegister(" CPU assemble", DM_CLASSID, &ctx->events[6])); /* 6 */ 1292 1293 if (rank) { /* turn off output stuff for duplicate runs - do we need to add the prefix to all this? */ 1294 PetscCall(PetscOptionsClearValue(NULL, "-snes_converged_reason")); 1295 PetscCall(PetscOptionsClearValue(NULL, "-ksp_converged_reason")); 1296 PetscCall(PetscOptionsClearValue(NULL, "-snes_monitor")); 1297 PetscCall(PetscOptionsClearValue(NULL, "-ksp_monitor")); 1298 PetscCall(PetscOptionsClearValue(NULL, "-ts_monitor")); 1299 PetscCall(PetscOptionsClearValue(NULL, "-ts_view")); 1300 PetscCall(PetscOptionsClearValue(NULL, "-ts_adapt_monitor")); 1301 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_amr_dm_view")); 1302 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_amr_vec_view")); 1303 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mass_dm_view")); 1304 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mass_view")); 1305 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_jacobian_view")); 1306 PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mat_view")); 1307 PetscCall(PetscOptionsClearValue(NULL, "-pc_bjkokkos_ksp_converged_reason")); 1308 PetscCall(PetscOptionsClearValue(NULL, "-pc_bjkokkos_ksp_monitor")); 1309 PetscCall(PetscOptionsClearValue(NULL, "-")); 1310 PetscCall(PetscOptionsClearValue(NULL, "-info")); 1311 } 1312 } 1313 PetscFunctionReturn(PETSC_SUCCESS); 1314 } 1315 1316 static PetscErrorCode CreateStaticData(PetscInt dim, IS grid_batch_is_inv[], LandauCtx *ctx) 1317 { 1318 PetscSection section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS]; 1319 PetscQuadrature quad; 1320 const PetscReal *quadWeights; 1321 PetscReal invMass[LANDAU_MAX_SPECIES], nu_alpha[LANDAU_MAX_SPECIES], nu_beta[LANDAU_MAX_SPECIES]; 1322 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; 1323 PetscTabulation *Tf; 1324 PetscDS prob; 1325 1326 PetscFunctionBegin; 1327 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1328 for (PetscInt ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++) { 1329 invMass[ii] = ctx->m_0 / ctx->masses[ii]; 1330 nu_alpha[ii] = PetscSqr(ctx->charges[ii] / ctx->m_0) * ctx->m_0 / ctx->masses[ii]; 1331 nu_beta[ii] = PetscSqr(ctx->charges[ii] / ctx->epsilon0) / (8 * PETSC_PI) * ctx->t_0 * ctx->n_0 / PetscPowReal(ctx->v_0, 3); 1332 } 1333 } 1334 if (ctx->verbose == 4) { 1335 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "nu_alpha: ")); 1336 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1337 int iii = ctx->species_offset[grid]; 1338 for (PetscInt ii = iii; ii < ctx->species_offset[grid + 1]; ii++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, " %e", (double)nu_alpha[ii])); 1339 } 1340 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\nnu_beta: ")); 1341 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1342 int iii = ctx->species_offset[grid]; 1343 for (PetscInt ii = iii; ii < ctx->species_offset[grid + 1]; ii++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, " %e", (double)nu_beta[ii])); 1344 } 1345 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\nnu_alpha[i]*nu_beta[j]*lambda[i][j]:\n")); 1346 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1347 int iii = ctx->species_offset[grid]; 1348 for (PetscInt ii = iii; ii < ctx->species_offset[grid + 1]; ii++) { 1349 for (PetscInt gridj = 0; gridj < ctx->num_grids; gridj++) { 1350 int jjj = ctx->species_offset[gridj]; 1351 for (PetscInt jj = jjj; jj < ctx->species_offset[gridj + 1]; jj++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, " %14.9e", (double)(nu_alpha[ii] * nu_beta[jj] * ctx->lambdas[grid][gridj]))); 1352 } 1353 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n")); 1354 } 1355 } 1356 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "lambda[i][j]:\n")); 1357 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1358 int iii = ctx->species_offset[grid]; 1359 for (PetscInt ii = iii; ii < ctx->species_offset[grid + 1]; ii++) { 1360 for (PetscInt gridj = 0; gridj < ctx->num_grids; gridj++) { 1361 int jjj = ctx->species_offset[gridj]; 1362 for (PetscInt jj = jjj; jj < ctx->species_offset[gridj + 1]; jj++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, " %14.9e", (double)ctx->lambdas[grid][gridj])); 1363 } 1364 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n")); 1365 } 1366 } 1367 } 1368 PetscCall(DMGetDS(ctx->plex[0], &prob)); // same DS for all grids 1369 PetscCall(PetscDSGetTabulation(prob, &Tf)); // Bf, &Df same for all grids 1370 /* DS, Tab and quad is same on all grids */ 1371 PetscCheck(ctx->plex[0], ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 1372 PetscCall(PetscFEGetQuadrature(ctx->fe[0], &quad)); 1373 PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, &quadWeights)); 1374 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); 1375 /* setup each grid */ 1376 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1377 PetscInt cStart, cEnd; 1378 PetscCheck(ctx->plex[grid] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created"); 1379 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1380 numCells[grid] = cEnd - cStart; // grids can have different topology 1381 PetscCall(DMGetLocalSection(ctx->plex[grid], §ion[grid])); 1382 PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid])); 1383 PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid])); 1384 ncellsTot += numCells[grid]; 1385 } 1386 /* create GPU assembly data */ 1387 if (ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 1388 PetscContainer container; 1389 PetscScalar *elemMatrix, *elMat; 1390 pointInterpolationP4est(*pointMaps)[LANDAU_MAX_Q_FACE]; 1391 P4estVertexMaps *maps; 1392 const PetscInt *plex_batch = NULL, Nb = Nq, elMatSz = Nq * Nq * ctx->num_species * ctx->num_species; // tensor elements; 1393 LandauIdx *coo_elem_offsets = NULL, *coo_elem_fullNb = NULL, (*coo_elem_point_offsets)[LANDAU_MAX_NQ + 1] = NULL; 1394 /* create GPU assembly data */ 1395 PetscCall(PetscInfo(ctx->plex[0], "Make GPU maps %d\n", 1)); 1396 PetscCall(PetscLogEventBegin(ctx->events[2], 0, 0, 0, 0)); 1397 PetscCall(PetscMalloc(sizeof(*maps) * ctx->num_grids, &maps)); 1398 PetscCall(PetscMalloc(sizeof(*pointMaps) * MAP_BF_SIZE, &pointMaps)); 1399 PetscCall(PetscMalloc(sizeof(*elemMatrix) * elMatSz, &elemMatrix)); 1400 1401 { // setup COO assembly -- put COO metadata directly in ctx->SData_d 1402 PetscCall(PetscMalloc3(ncellsTot + 1, &coo_elem_offsets, ncellsTot, &coo_elem_fullNb, ncellsTot, &coo_elem_point_offsets)); // array of integer pointers 1403 coo_elem_offsets[0] = 0; // finish later 1404 PetscCall(PetscInfo(ctx->plex[0], "COO initialization, %" PetscInt_FMT " cells\n", ncellsTot)); 1405 ctx->SData_d.coo_n_cellsTot = ncellsTot; 1406 ctx->SData_d.coo_elem_offsets = (void *)coo_elem_offsets; 1407 ctx->SData_d.coo_elem_fullNb = (void *)coo_elem_fullNb; 1408 ctx->SData_d.coo_elem_point_offsets = (void *)coo_elem_point_offsets; 1409 } 1410 1411 ctx->SData_d.coo_max_fullnb = 0; 1412 for (PetscInt grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1413 PetscInt cStart, cEnd, Nfloc = Nf[grid], totDim = Nfloc * Nq; 1414 if (grid_batch_is_inv[grid]) PetscCall(ISGetIndices(grid_batch_is_inv[grid], &plex_batch)); 1415 PetscCheck(!plex_batch, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_jacobian_field_major_order DEPRECATED"); 1416 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1417 // make maps 1418 maps[grid].d_self = NULL; 1419 maps[grid].num_elements = numCells[grid]; 1420 maps[grid].num_face = (PetscInt)(pow(Nq, 1. / ((double)dim)) + .001); // Q 1421 maps[grid].num_face = (PetscInt)(pow(maps[grid].num_face, (double)(dim - 1)) + .001); // Q^2 1422 maps[grid].num_reduced = 0; 1423 maps[grid].deviceType = ctx->deviceType; 1424 maps[grid].numgrids = ctx->num_grids; 1425 // count reduced and get 1426 PetscCall(PetscMalloc(maps[grid].num_elements * sizeof(*maps[grid].gIdx), &maps[grid].gIdx)); 1427 for (int ej = cStart, eidx = 0; ej < cEnd; ++ej, ++eidx, glb_elem_idx++) { 1428 if (coo_elem_offsets) coo_elem_offsets[glb_elem_idx + 1] = coo_elem_offsets[glb_elem_idx]; // start with last one, then add 1429 for (int fieldA = 0; fieldA < Nf[grid]; fieldA++) { 1430 int fullNb = 0; 1431 for (int q = 0; q < Nb; ++q) { 1432 PetscInt numindices, *indices; 1433 PetscScalar *valuesOrig = elMat = elemMatrix; 1434 PetscCall(PetscArrayzero(elMat, totDim * totDim)); 1435 elMat[(fieldA * Nb + q) * totDim + fieldA * Nb + q] = 1; 1436 PetscCall(DMPlexGetClosureIndices(ctx->plex[grid], section[grid], globsection[grid], ej, PETSC_TRUE, &numindices, &indices, NULL, (PetscScalar **)&elMat)); 1437 for (PetscInt f = 0; f < numindices; ++f) { // look for a non-zero on the diagonal (is this too complicated for simplices?) 1438 if (PetscAbs(PetscRealPart(elMat[f * numindices + f])) > PETSC_MACHINE_EPSILON) { 1439 // found it 1440 if (PetscAbs(PetscRealPart(elMat[f * numindices + f] - 1.)) < PETSC_MACHINE_EPSILON) { // normal vertex 1.0 1441 if (plex_batch) { 1442 maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)plex_batch[indices[f]]; 1443 } else { 1444 maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)indices[f]; 1445 } 1446 fullNb++; 1447 } else { //found a constraint 1448 int jj = 0; 1449 PetscReal sum = 0; 1450 const PetscInt ff = f; 1451 maps[grid].gIdx[eidx][fieldA][q] = -maps[grid].num_reduced - 1; // store (-)index: id = -(idx+1): idx = -id - 1 1452 PetscCheck(!ctx->simplex, ctx->comm, PETSC_ERR_ARG_WRONG, "No constraints with simplex"); 1453 do { // constraints are continuous in Plex - exploit that here 1454 int ii; // get 'scale' 1455 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 1456 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 1457 pointMaps[maps[grid].num_reduced][jj].scale += PetscRealPart(elMat[f * numindices + ff + ii]); 1458 } 1459 } 1460 sum += pointMaps[maps[grid].num_reduced][jj].scale; // diagnostic 1461 // get 'gid' 1462 if (pointMaps[maps[grid].num_reduced][jj].scale == 0) pointMaps[maps[grid].num_reduced][jj].gid = -1; // 3D has Q and Q^2 interps 1463 else { 1464 if (plex_batch) { 1465 pointMaps[maps[grid].num_reduced][jj].gid = plex_batch[indices[f]]; 1466 } else { 1467 pointMaps[maps[grid].num_reduced][jj].gid = indices[f]; 1468 } 1469 fullNb++; 1470 } 1471 } while (++jj < maps[grid].num_face && ++f < numindices); // jj is incremented if we hit the end 1472 while (jj < maps[grid].num_face) { 1473 pointMaps[maps[grid].num_reduced][jj].scale = 0; 1474 pointMaps[maps[grid].num_reduced][jj].gid = -1; 1475 jj++; 1476 } 1477 if (PetscAbs(sum - 1.0) > 10 * PETSC_MACHINE_EPSILON) { // debug 1478 int d, f; 1479 PetscReal tmp = 0; 1480 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)); 1481 for (d = 0, tmp = 0; d < numindices; ++d) { 1482 if (tmp != 0 && PetscAbs(tmp - 1.0) > 10 * PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "%3d) %3" PetscInt_FMT ": ", d, indices[d])); 1483 for (f = 0; f < numindices; ++f) tmp += PetscRealPart(elMat[d * numindices + f]); 1484 if (tmp != 0) PetscCall(PetscPrintf(ctx->comm, " | %22.16e\n", (double)tmp)); 1485 } 1486 } 1487 maps[grid].num_reduced++; 1488 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); 1489 } 1490 break; 1491 } 1492 } 1493 // cleanup 1494 PetscCall(DMPlexRestoreClosureIndices(ctx->plex[grid], section[grid], globsection[grid], ej, PETSC_TRUE, &numindices, &indices, NULL, (PetscScalar **)&elMat)); 1495 if (elMat != valuesOrig) PetscCall(DMRestoreWorkArray(ctx->plex[grid], numindices * numindices, MPIU_SCALAR, &elMat)); 1496 } 1497 { // setup COO assembly 1498 coo_elem_offsets[glb_elem_idx + 1] += fullNb * fullNb; // one species block, adds a block for each species, on this element in this grid 1499 if (fieldA == 0) { // cache full Nb for this element, on this grid per species 1500 coo_elem_fullNb[glb_elem_idx] = fullNb; 1501 if (fullNb > ctx->SData_d.coo_max_fullnb) ctx->SData_d.coo_max_fullnb = fullNb; 1502 } 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); 1503 } 1504 } // field 1505 } // cell 1506 // allocate and copy point data maps[grid].gIdx[eidx][field][q] 1507 PetscCall(PetscMalloc(maps[grid].num_reduced * sizeof(*maps[grid].c_maps), &maps[grid].c_maps)); 1508 for (int ej = 0; ej < maps[grid].num_reduced; ++ej) { 1509 for (int q = 0; q < maps[grid].num_face; ++q) { 1510 maps[grid].c_maps[ej][q].scale = pointMaps[ej][q].scale; 1511 maps[grid].c_maps[ej][q].gid = pointMaps[ej][q].gid; 1512 } 1513 } 1514 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1515 if (ctx->deviceType == LANDAU_KOKKOS) { 1516 PetscCall(LandauKokkosCreateMatMaps(maps, pointMaps, Nf, Nq, grid)); // implies Kokkos does 1517 } 1518 #endif 1519 if (plex_batch) { 1520 PetscCall(ISRestoreIndices(grid_batch_is_inv[grid], &plex_batch)); 1521 PetscCall(ISDestroy(&grid_batch_is_inv[grid])); // we are done with this 1522 } 1523 } /* grids */ 1524 // finish COO 1525 { // setup COO assembly 1526 PetscInt *oor, *ooc; 1527 ctx->SData_d.coo_size = coo_elem_offsets[ncellsTot] * ctx->batch_sz; 1528 PetscCall(PetscMalloc2(ctx->SData_d.coo_size, &oor, ctx->SData_d.coo_size, &ooc)); 1529 for (int i = 0; i < ctx->SData_d.coo_size; i++) oor[i] = ooc[i] = -1; 1530 // get 1531 for (int grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1532 for (int ej = 0; ej < numCells[grid]; ++ej, glb_elem_idx++) { 1533 const int fullNb = coo_elem_fullNb[glb_elem_idx]; 1534 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 1535 coo_elem_point_offsets[glb_elem_idx][0] = 0; 1536 for (int f = 0, cnt2 = 0; f < Nb; f++) { 1537 int idx = Idxs[f]; 1538 coo_elem_point_offsets[glb_elem_idx][f + 1] = coo_elem_point_offsets[glb_elem_idx][f]; // start at last 1539 if (idx >= 0) { 1540 cnt2++; 1541 coo_elem_point_offsets[glb_elem_idx][f + 1]++; // inc 1542 } else { 1543 idx = -idx - 1; 1544 for (int q = 0; q < maps[grid].num_face; q++) { 1545 if (maps[grid].c_maps[idx][q].gid < 0) break; 1546 cnt2++; 1547 coo_elem_point_offsets[glb_elem_idx][f + 1]++; // inc 1548 } 1549 } 1550 PetscCheck(cnt2 <= fullNb, PETSC_COMM_SELF, PETSC_ERR_PLIB, "wrong count %d < %d", fullNb, cnt2); 1551 } 1552 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); 1553 } 1554 } 1555 // set 1556 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 1557 for (int grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) { 1558 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 1559 for (int ej = 0; ej < numCells[grid]; ++ej, glb_elem_idx++) { 1560 const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb; 1561 // set (i,j) 1562 for (int fieldA = 0; fieldA < Nf[grid]; fieldA++) { 1563 const LandauIdx *const Idxs = &maps[grid].gIdx[ej][fieldA][0]; 1564 int rows[LANDAU_MAX_Q_FACE], cols[LANDAU_MAX_Q_FACE]; 1565 for (int f = 0; f < Nb; ++f) { 1566 const int nr = coo_elem_point_offsets[glb_elem_idx][f + 1] - coo_elem_point_offsets[glb_elem_idx][f]; 1567 if (nr == 1) rows[0] = Idxs[f]; 1568 else { 1569 const int idx = -Idxs[f] - 1; 1570 for (int q = 0; q < nr; q++) rows[q] = maps[grid].c_maps[idx][q].gid; 1571 } 1572 for (int g = 0; g < Nb; ++g) { 1573 const int nc = coo_elem_point_offsets[glb_elem_idx][g + 1] - coo_elem_point_offsets[glb_elem_idx][g]; 1574 if (nc == 1) cols[0] = Idxs[g]; 1575 else { 1576 const int idx = -Idxs[g] - 1; 1577 for (int q = 0; q < nc; q++) cols[q] = maps[grid].c_maps[idx][q].gid; 1578 } 1579 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]; 1580 for (int q = 0, idx = idx0; q < nr; q++) { 1581 for (int d = 0; d < nc; d++, idx++) { 1582 oor[idx] = rows[q] + moffset; 1583 ooc[idx] = cols[d] + moffset; 1584 } 1585 } 1586 } 1587 } 1588 } 1589 } // cell 1590 } // grid 1591 } // batch 1592 PetscCall(MatSetPreallocationCOO(ctx->J, ctx->SData_d.coo_size, oor, ooc)); 1593 PetscCall(PetscFree2(oor, ooc)); 1594 } 1595 PetscCall(PetscFree(pointMaps)); 1596 PetscCall(PetscFree(elemMatrix)); 1597 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 1598 PetscCall(PetscContainerSetPointer(container, (void *)maps)); 1599 PetscCall(PetscContainerSetUserDestroy(container, LandauGPUMapsDestroy)); 1600 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "assembly_maps", (PetscObject)container)); 1601 PetscCall(PetscContainerDestroy(&container)); 1602 PetscCall(PetscLogEventEnd(ctx->events[2], 0, 0, 0, 0)); 1603 } // end GPU assembly 1604 { /* create static point data, Jacobian called first, only one vertex copy */ 1605 PetscReal *invJe, *ww, *xx, *yy, *zz = NULL, *invJ_a; 1606 PetscInt outer_ipidx, outer_ej, grid, nip_glb = 0; 1607 PetscFE fe; 1608 const PetscInt Nb = Nq; 1609 PetscCall(PetscLogEventBegin(ctx->events[7], 0, 0, 0, 0)); 1610 PetscCall(PetscInfo(ctx->plex[0], "Initialize static data\n")); 1611 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) nip_glb += Nq * numCells[grid]; 1612 /* collect f data, first time is for Jacobian, but make mass now */ 1613 if (ctx->verbose != 0) { 1614 PetscInt ncells = 0, N; 1615 PetscCall(MatGetSize(ctx->J, &N, NULL)); 1616 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) ncells += numCells[grid]; 1617 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "%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, 1618 ctx->num_species, Nb, dim, N)); 1619 } 1620 PetscCall(PetscMalloc4(nip_glb, &ww, nip_glb, &xx, nip_glb, &yy, nip_glb * dim * dim, &invJ_a)); 1621 if (dim == 3) PetscCall(PetscMalloc1(nip_glb, &zz)); 1622 if (ctx->use_energy_tensor_trick) { 1623 PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, ctx->simplex, NULL, PETSC_DECIDE, &fe)); 1624 PetscCall(PetscObjectSetName((PetscObject)fe, "energy")); 1625 } 1626 /* init each grids static data - no batch */ 1627 for (grid = 0, outer_ipidx = 0, outer_ej = 0; grid < ctx->num_grids; grid++) { // OpenMP (once) 1628 Vec v2_2 = NULL; // projected function: v^2/2 for non-relativistic, gamma... for relativistic 1629 PetscSection e_section; 1630 DM dmEnergy; 1631 PetscInt cStart, cEnd, ej; 1632 1633 PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd)); 1634 // prep energy trick, get v^2 / 2 vector 1635 if (ctx->use_energy_tensor_trick) { 1636 PetscErrorCode (*energyf[1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *) = {ctx->use_relativistic_corrections ? gamma_m1_f : energy_f}; 1637 Vec glob_v2; 1638 PetscReal *c2_0[1], data[1] = {PetscSqr(C_0(ctx->v_0))}; 1639 1640 PetscCall(DMClone(ctx->plex[grid], &dmEnergy)); 1641 PetscCall(PetscObjectSetName((PetscObject)dmEnergy, "energy")); 1642 PetscCall(DMSetField(dmEnergy, 0, NULL, (PetscObject)fe)); 1643 PetscCall(DMCreateDS(dmEnergy)); 1644 PetscCall(DMGetSection(dmEnergy, &e_section)); 1645 PetscCall(DMGetGlobalVector(dmEnergy, &glob_v2)); 1646 PetscCall(PetscObjectSetName((PetscObject)glob_v2, "trick")); 1647 c2_0[0] = &data[0]; 1648 PetscCall(DMProjectFunction(dmEnergy, 0., energyf, (void **)c2_0, INSERT_ALL_VALUES, glob_v2)); 1649 PetscCall(DMGetLocalVector(dmEnergy, &v2_2)); 1650 PetscCall(VecZeroEntries(v2_2)); /* zero BCs so don't set */ 1651 PetscCall(DMGlobalToLocalBegin(dmEnergy, glob_v2, INSERT_VALUES, v2_2)); 1652 PetscCall(DMGlobalToLocalEnd(dmEnergy, glob_v2, INSERT_VALUES, v2_2)); 1653 PetscCall(DMViewFromOptions(dmEnergy, NULL, "-energy_dm_view")); 1654 PetscCall(VecViewFromOptions(glob_v2, NULL, "-energy_vec_view")); 1655 PetscCall(DMRestoreGlobalVector(dmEnergy, &glob_v2)); 1656 } 1657 /* append part of the IP data for each grid */ 1658 for (ej = 0; ej < numCells[grid]; ++ej, ++outer_ej) { 1659 PetscScalar *coefs = NULL; 1660 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); 1661 invJe = invJ_a + outer_ej * Nq * dim * dim; 1662 PetscCall(DMPlexComputeCellGeometryFEM(ctx->plex[grid], ej + cStart, quad, vj, Jdummy, invJe, detJj)); 1663 if (ctx->use_energy_tensor_trick) PetscCall(DMPlexVecGetClosure(dmEnergy, e_section, v2_2, ej + cStart, NULL, &coefs)); 1664 /* create static point data */ 1665 for (PetscInt qj = 0; qj < Nq; qj++, outer_ipidx++) { 1666 const PetscInt gidx = outer_ipidx; 1667 const PetscReal *invJ = &invJe[qj * dim * dim]; 1668 ww[gidx] = detJj[qj] * quadWeights[qj]; 1669 if (dim == 2) ww[gidx] *= vj[qj * dim + 0]; /* cylindrical coordinate, w/o 2pi */ 1670 // get xx, yy, zz 1671 if (ctx->use_energy_tensor_trick) { 1672 double refSpaceDer[3], eGradPhi[3]; 1673 const PetscReal *const DD = Tf[0]->T[1]; 1674 const PetscReal *Dq = &DD[qj * Nb * dim]; 1675 for (int d = 0; d < 3; ++d) refSpaceDer[d] = eGradPhi[d] = 0.0; 1676 for (int b = 0; b < Nb; ++b) { 1677 for (int d = 0; d < dim; ++d) refSpaceDer[d] += Dq[b * dim + d] * PetscRealPart(coefs[b]); 1678 } 1679 xx[gidx] = 1e10; 1680 if (ctx->use_relativistic_corrections) { 1681 double dg2_c2 = 0; 1682 //for (int d = 0; d < dim; ++d) refSpaceDer[d] *= c02; 1683 for (int d = 0; d < dim; ++d) dg2_c2 += PetscSqr(refSpaceDer[d]); 1684 dg2_c2 *= (double)c02; 1685 if (dg2_c2 >= .999) { 1686 xx[gidx] = vj[qj * dim + 0]; /* coordinate */ 1687 yy[gidx] = vj[qj * dim + 1]; 1688 if (dim == 3) zz[gidx] = vj[qj * dim + 2]; 1689 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])); 1690 } else { 1691 PetscReal fact = c02 / PetscSqrtReal(1. - dg2_c2); 1692 for (int d = 0; d < dim; ++d) refSpaceDer[d] *= fact; 1693 // could test with other point u' that (grad - grad') * U (refSpaceDer, refSpaceDer') == 0 1694 } 1695 } 1696 if (xx[gidx] == 1e10) { 1697 for (int d = 0; d < dim; ++d) { 1698 for (int e = 0; e < dim; ++e) eGradPhi[d] += invJ[e * dim + d] * refSpaceDer[e]; 1699 } 1700 xx[gidx] = eGradPhi[0]; 1701 yy[gidx] = eGradPhi[1]; 1702 if (dim == 3) zz[gidx] = eGradPhi[2]; 1703 } 1704 } else { 1705 xx[gidx] = vj[qj * dim + 0]; /* coordinate */ 1706 yy[gidx] = vj[qj * dim + 1]; 1707 if (dim == 3) zz[gidx] = vj[qj * dim + 2]; 1708 } 1709 } /* q */ 1710 if (ctx->use_energy_tensor_trick) PetscCall(DMPlexVecRestoreClosure(dmEnergy, e_section, v2_2, ej + cStart, NULL, &coefs)); 1711 } /* ej */ 1712 if (ctx->use_energy_tensor_trick) { 1713 PetscCall(DMRestoreLocalVector(dmEnergy, &v2_2)); 1714 PetscCall(DMDestroy(&dmEnergy)); 1715 } 1716 } /* grid */ 1717 if (ctx->use_energy_tensor_trick) PetscCall(PetscFEDestroy(&fe)); 1718 /* cache static data */ 1719 if (ctx->deviceType == LANDAU_KOKKOS) { 1720 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1721 PetscCall(LandauKokkosStaticDataSet(ctx->plex[0], Nq, ctx->batch_sz, ctx->num_grids, numCells, ctx->species_offset, ctx->mat_offset, nu_alpha, nu_beta, invMass, (PetscReal *)ctx->lambdas, invJ_a, xx, yy, zz, ww, &ctx->SData_d)); 1722 #else 1723 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type kokkos not built"); 1724 #endif 1725 /* free */ 1726 PetscCall(PetscFree4(ww, xx, yy, invJ_a)); 1727 if (dim == 3) PetscCall(PetscFree(zz)); 1728 } else { /* CPU version, just copy in, only use part */ 1729 PetscReal *nu_alpha_p = (PetscReal *)ctx->SData_d.alpha, *nu_beta_p = (PetscReal *)ctx->SData_d.beta, *invMass_p = (PetscReal *)ctx->SData_d.invMass, *lambdas_p = NULL; // why set these ? 1730 ctx->SData_d.w = (void *)ww; 1731 ctx->SData_d.x = (void *)xx; 1732 ctx->SData_d.y = (void *)yy; 1733 ctx->SData_d.z = (void *)zz; 1734 ctx->SData_d.invJ = (void *)invJ_a; 1735 PetscCall(PetscMalloc4(ctx->num_species, &nu_alpha_p, ctx->num_species, &nu_beta_p, ctx->num_species, &invMass_p, LANDAU_MAX_GRIDS * LANDAU_MAX_GRIDS, &lambdas_p)); 1736 for (PetscInt ii = 0; ii < ctx->num_species; ii++) { 1737 nu_alpha_p[ii] = nu_alpha[ii]; 1738 nu_beta_p[ii] = nu_beta[ii]; 1739 invMass_p[ii] = invMass[ii]; 1740 } 1741 ctx->SData_d.alpha = (void *)nu_alpha_p; 1742 ctx->SData_d.beta = (void *)nu_beta_p; 1743 ctx->SData_d.invMass = (void *)invMass_p; 1744 ctx->SData_d.lambdas = (void *)lambdas_p; 1745 for (PetscInt grid = 0; grid < LANDAU_MAX_GRIDS; grid++) { 1746 PetscReal(*lambdas)[LANDAU_MAX_GRIDS][LANDAU_MAX_GRIDS] = (PetscReal(*)[LANDAU_MAX_GRIDS][LANDAU_MAX_GRIDS])ctx->SData_d.lambdas; 1747 for (PetscInt gridj = 0; gridj < LANDAU_MAX_GRIDS; gridj++) { (*lambdas)[grid][gridj] = ctx->lambdas[grid][gridj]; } 1748 } 1749 } 1750 PetscCall(PetscLogEventEnd(ctx->events[7], 0, 0, 0, 0)); 1751 } // initialize 1752 PetscFunctionReturn(PETSC_SUCCESS); 1753 } 1754 1755 /* < v, u > */ 1756 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[]) 1757 { 1758 g0[0] = 1.; 1759 } 1760 1761 /* < v, u > */ 1762 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[]) 1763 { 1764 static double ttt = 1e-12; 1765 g0[0] = ttt++; 1766 } 1767 1768 /* < v, u > */ 1769 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[]) 1770 { 1771 g0[0] = 2. * PETSC_PI * x[0]; 1772 } 1773 1774 static PetscErrorCode MatrixNfDestroy(void *ptr) 1775 { 1776 PetscInt *nf = (PetscInt *)ptr; 1777 PetscFunctionBegin; 1778 PetscCall(PetscFree(nf)); 1779 PetscFunctionReturn(PETSC_SUCCESS); 1780 } 1781 1782 /* 1783 LandauCreateJacobianMatrix - creates ctx->J with without real data. Hard to keep sparse. 1784 - Like DMPlexLandauCreateMassMatrix. Should remove one and combine 1785 - has old support for field major ordering 1786 */ 1787 static PetscErrorCode LandauCreateJacobianMatrix(MPI_Comm comm, Vec X, IS grid_batch_is_inv[LANDAU_MAX_GRIDS], LandauCtx *ctx) 1788 { 1789 PetscInt *idxs = NULL; 1790 Mat subM[LANDAU_MAX_GRIDS]; 1791 1792 PetscFunctionBegin; 1793 if (!ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 1794 PetscFunctionReturn(PETSC_SUCCESS); 1795 } 1796 // get the RCM for this grid to separate out species into blocks -- create 'idxs' & 'ctx->batch_is' -- not used 1797 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) PetscCall(PetscMalloc1(ctx->mat_offset[ctx->num_grids] * ctx->batch_sz, &idxs)); 1798 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1799 const PetscInt *values, n = ctx->mat_offset[grid + 1] - ctx->mat_offset[grid]; 1800 Mat gMat; 1801 DM massDM; 1802 PetscDS prob; 1803 Vec tvec; 1804 // get "mass" matrix for reordering 1805 PetscCall(DMClone(ctx->plex[grid], &massDM)); 1806 PetscCall(DMCopyFields(ctx->plex[grid], massDM)); 1807 PetscCall(DMCreateDS(massDM)); 1808 PetscCall(DMGetDS(massDM, &prob)); 1809 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)); 1810 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); // this trick is need to both sparsify the matrix and avoid runtime error 1811 PetscCall(DMCreateMatrix(massDM, &gMat)); 1812 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 1813 PetscCall(MatSetOption(gMat, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 1814 PetscCall(MatSetOption(gMat, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 1815 PetscCall(DMCreateLocalVector(ctx->plex[grid], &tvec)); 1816 PetscCall(DMPlexSNESComputeJacobianFEM(massDM, tvec, gMat, gMat, ctx)); 1817 PetscCall(MatViewFromOptions(gMat, NULL, "-dm_landau_reorder_mat_view")); 1818 PetscCall(DMDestroy(&massDM)); 1819 PetscCall(VecDestroy(&tvec)); 1820 subM[grid] = gMat; 1821 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 1822 MatOrderingType rtype = MATORDERINGRCM; 1823 IS isrow, isicol; 1824 PetscCall(MatGetOrdering(gMat, rtype, &isrow, &isicol)); 1825 PetscCall(ISInvertPermutation(isrow, PETSC_DECIDE, &grid_batch_is_inv[grid])); 1826 PetscCall(ISGetIndices(isrow, &values)); 1827 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 1828 #if !defined(LANDAU_SPECIES_MAJOR) 1829 PetscInt N = ctx->mat_offset[ctx->num_grids], n0 = ctx->mat_offset[grid] + b_id * N; 1830 for (int ii = 0; ii < n; ++ii) idxs[n0 + ii] = values[ii] + n0; 1831 #else 1832 PetscInt n0 = ctx->mat_offset[grid] * ctx->batch_sz + b_id * n; 1833 for (int ii = 0; ii < n; ++ii) idxs[n0 + ii] = values[ii] + n0; 1834 #endif 1835 } 1836 PetscCall(ISRestoreIndices(isrow, &values)); 1837 PetscCall(ISDestroy(&isrow)); 1838 PetscCall(ISDestroy(&isicol)); 1839 } 1840 } 1841 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)); 1842 // get a block matrix 1843 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1844 Mat B = subM[grid]; 1845 PetscInt nloc, nzl, *colbuf, row, COL_BF_SIZE = 1024; 1846 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 1847 PetscCall(MatGetSize(B, &nloc, NULL)); 1848 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 1849 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 1850 const PetscInt *cols; 1851 const PetscScalar *vals; 1852 for (int i = 0; i < nloc; i++) { 1853 PetscCall(MatGetRow(B, i, &nzl, NULL, NULL)); 1854 if (nzl > COL_BF_SIZE) { 1855 PetscCall(PetscFree(colbuf)); 1856 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)); 1857 COL_BF_SIZE = nzl; 1858 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 1859 } 1860 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 1861 for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset; 1862 row = i + moffset; 1863 PetscCall(MatSetValues(ctx->J, 1, &row, nzl, colbuf, vals, INSERT_VALUES)); 1864 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 1865 } 1866 } 1867 PetscCall(PetscFree(colbuf)); 1868 } 1869 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(MatDestroy(&subM[grid])); 1870 PetscCall(MatAssemblyBegin(ctx->J, MAT_FINAL_ASSEMBLY)); 1871 PetscCall(MatAssemblyEnd(ctx->J, MAT_FINAL_ASSEMBLY)); 1872 1873 // debug 1874 PetscCall(MatViewFromOptions(ctx->J, NULL, "-dm_landau_mat_view")); 1875 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 1876 Mat mat_block_order; 1877 PetscCall(MatCreateSubMatrix(ctx->J, ctx->batch_is, ctx->batch_is, MAT_INITIAL_MATRIX, &mat_block_order)); // use MatPermute 1878 PetscCall(MatViewFromOptions(mat_block_order, NULL, "-dm_landau_mat_view")); 1879 PetscCall(MatDestroy(&mat_block_order)); 1880 PetscCall(VecScatterCreate(X, ctx->batch_is, X, NULL, &ctx->plex_batch)); 1881 PetscCall(VecDuplicate(X, &ctx->work_vec)); 1882 } 1883 1884 PetscFunctionReturn(PETSC_SUCCESS); 1885 } 1886 1887 PetscErrorCode DMPlexLandauCreateMassMatrix(DM pack, Mat *Amat); 1888 /*@C 1889 DMPlexLandauCreateVelocitySpace - Create a DMPlex velocity space mesh 1890 1891 Collective 1892 1893 Input Parameters: 1894 + comm - The MPI communicator 1895 . dim - velocity space dimension (2 for axisymmetric, 3 for full 3X + 3V solver) 1896 - prefix - prefix for options (not tested) 1897 1898 Output Parameter: 1899 . pack - The DM object representing the mesh 1900 + X - A vector (user destroys) 1901 - J - Optional matrix (object destroys) 1902 1903 Level: beginner 1904 1905 .keywords: mesh 1906 .seealso: `DMPlexCreate()`, `DMPlexLandauDestroyVelocitySpace()` 1907 @*/ 1908 PetscErrorCode DMPlexLandauCreateVelocitySpace(MPI_Comm comm, PetscInt dim, const char prefix[], Vec *X, Mat *J, DM *pack) 1909 { 1910 LandauCtx *ctx; 1911 Vec Xsub[LANDAU_MAX_GRIDS]; 1912 IS grid_batch_is_inv[LANDAU_MAX_GRIDS]; 1913 1914 PetscFunctionBegin; 1915 PetscCheck(dim == 2 || dim == 3, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Only 2D and 3D supported"); 1916 PetscCheck(LANDAU_DIM == dim, PETSC_COMM_SELF, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " != LANDAU_DIM %d", dim, LANDAU_DIM); 1917 PetscCall(PetscNew(&ctx)); 1918 ctx->comm = comm; /* used for diagnostics and global errors */ 1919 /* process options */ 1920 PetscCall(ProcessOptions(ctx, prefix)); 1921 if (dim == 2) ctx->use_relativistic_corrections = PETSC_FALSE; 1922 /* Create Mesh */ 1923 PetscCall(DMCompositeCreate(PETSC_COMM_SELF, pack)); 1924 PetscCall(PetscLogEventBegin(ctx->events[13], 0, 0, 0, 0)); 1925 PetscCall(PetscLogEventBegin(ctx->events[15], 0, 0, 0, 0)); 1926 PetscCall(LandauDMCreateVMeshes(PETSC_COMM_SELF, dim, prefix, ctx, *pack)); // creates grids (Forest of AMR) 1927 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1928 /* create FEM */ 1929 PetscCall(SetupDS(ctx->plex[grid], dim, grid, ctx)); 1930 /* set initial state */ 1931 PetscCall(DMCreateGlobalVector(ctx->plex[grid], &Xsub[grid])); 1932 PetscCall(PetscObjectSetName((PetscObject)Xsub[grid], "u_orig")); 1933 /* initial static refinement, no solve */ 1934 PetscCall(LandauSetInitialCondition(ctx->plex[grid], Xsub[grid], grid, 0, 1, ctx)); 1935 /* forest refinement - forest goes in (if forest), plex comes out */ 1936 if (ctx->use_p4est) { 1937 DM plex; 1938 PetscCall(adapt(grid, ctx, &Xsub[grid])); // forest goes in, plex comes out 1939 PetscCall(DMViewFromOptions(ctx->plex[grid], NULL, "-dm_landau_amr_dm_view")); // need to differentiate - todo 1940 PetscCall(VecViewFromOptions(Xsub[grid], NULL, "-dm_landau_amr_vec_view")); 1941 // convert to plex, all done with this level 1942 PetscCall(DMConvert(ctx->plex[grid], DMPLEX, &plex)); 1943 PetscCall(DMDestroy(&ctx->plex[grid])); 1944 ctx->plex[grid] = plex; 1945 } 1946 #if !defined(LANDAU_SPECIES_MAJOR) 1947 PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); 1948 #else 1949 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 1950 PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); 1951 } 1952 #endif 1953 PetscCall(DMSetApplicationContext(ctx->plex[grid], ctx)); 1954 } 1955 #if !defined(LANDAU_SPECIES_MAJOR) 1956 // stack the batched DMs, could do it all here!!! b_id=0 1957 for (PetscInt b_id = 1; b_id < ctx->batch_sz; b_id++) { 1958 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid])); 1959 } 1960 #endif 1961 // create ctx->mat_offset 1962 ctx->mat_offset[0] = 0; 1963 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1964 PetscInt n; 1965 PetscCall(VecGetLocalSize(Xsub[grid], &n)); 1966 ctx->mat_offset[grid + 1] = ctx->mat_offset[grid] + n; 1967 } 1968 // creat DM & Jac 1969 PetscCall(DMSetApplicationContext(*pack, ctx)); 1970 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); 1971 PetscCall(DMCreateMatrix(*pack, &ctx->J)); 1972 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 1973 PetscCall(MatSetOption(ctx->J, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 1974 PetscCall(MatSetOption(ctx->J, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 1975 PetscCall(PetscObjectSetName((PetscObject)ctx->J, "Jac")); 1976 // construct initial conditions in X 1977 PetscCall(DMCreateGlobalVector(*pack, X)); 1978 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 1979 PetscInt n; 1980 PetscCall(VecGetLocalSize(Xsub[grid], &n)); 1981 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 1982 PetscScalar const *values; 1983 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 1984 PetscCall(LandauSetInitialCondition(ctx->plex[grid], Xsub[grid], grid, b_id, ctx->batch_sz, ctx)); 1985 PetscCall(VecGetArrayRead(Xsub[grid], &values)); // Drop whole grid in Plex ordering 1986 for (int i = 0, idx = moffset; i < n; i++, idx++) PetscCall(VecSetValue(*X, idx, values[i], INSERT_VALUES)); 1987 PetscCall(VecRestoreArrayRead(Xsub[grid], &values)); 1988 } 1989 } 1990 // cleanup 1991 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(VecDestroy(&Xsub[grid])); 1992 /* check for correct matrix type */ 1993 if (ctx->gpu_assembly) { /* we need GPU object with GPU assembly */ 1994 PetscBool flg; 1995 if (ctx->deviceType == LANDAU_KOKKOS) { 1996 PetscCall(PetscObjectTypeCompareAny((PetscObject)ctx->J, &flg, MATSEQAIJKOKKOS, MATMPIAIJKOKKOS, MATAIJKOKKOS, "")); 1997 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 1998 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'"); 1999 #else 2000 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'"); 2001 #endif 2002 } 2003 } 2004 PetscCall(PetscLogEventEnd(ctx->events[15], 0, 0, 0, 0)); 2005 2006 // create field major ordering 2007 ctx->work_vec = NULL; 2008 ctx->plex_batch = NULL; 2009 ctx->batch_is = NULL; 2010 for (int i = 0; i < LANDAU_MAX_GRIDS; i++) grid_batch_is_inv[i] = NULL; 2011 PetscCall(PetscLogEventBegin(ctx->events[12], 0, 0, 0, 0)); 2012 PetscCall(LandauCreateJacobianMatrix(comm, *X, grid_batch_is_inv, ctx)); 2013 PetscCall(PetscLogEventEnd(ctx->events[12], 0, 0, 0, 0)); 2014 2015 // create AMR GPU assembly maps and static GPU data 2016 PetscCall(CreateStaticData(dim, grid_batch_is_inv, ctx)); 2017 2018 PetscCall(PetscLogEventEnd(ctx->events[13], 0, 0, 0, 0)); 2019 2020 // create mass matrix 2021 PetscCall(DMPlexLandauCreateMassMatrix(*pack, NULL)); 2022 2023 if (J) *J = ctx->J; 2024 2025 if (ctx->gpu_assembly && ctx->jacobian_field_major_order) { 2026 PetscContainer container; 2027 // cache ctx for KSP with batch/field major Jacobian ordering -ksp_type gmres/etc -dm_landau_jacobian_field_major_order 2028 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2029 PetscCall(PetscContainerSetPointer(container, (void *)ctx)); 2030 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "LandauCtx", (PetscObject)container)); 2031 PetscCall(PetscContainerDestroy(&container)); 2032 // batch solvers need to map -- can batch solvers work 2033 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2034 PetscCall(PetscContainerSetPointer(container, (void *)ctx->plex_batch)); 2035 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "plex_batch_is", (PetscObject)container)); 2036 PetscCall(PetscContainerDestroy(&container)); 2037 } 2038 // for batch solvers 2039 { 2040 PetscContainer container; 2041 PetscInt *pNf; 2042 PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container)); 2043 PetscCall(PetscMalloc1(sizeof(*pNf), &pNf)); 2044 *pNf = ctx->batch_sz; 2045 PetscCall(PetscContainerSetPointer(container, (void *)pNf)); 2046 PetscCall(PetscContainerSetUserDestroy(container, MatrixNfDestroy)); 2047 PetscCall(PetscObjectCompose((PetscObject)ctx->J, "batch size", (PetscObject)container)); 2048 PetscCall(PetscContainerDestroy(&container)); 2049 } 2050 2051 PetscFunctionReturn(PETSC_SUCCESS); 2052 } 2053 2054 /*@ 2055 DMPlexLandauAccess - Access to the distribution function with user callback 2056 2057 Collective 2058 2059 Input Parameters: 2060 . pack - the DMComposite 2061 + func - call back function 2062 . user_ctx - user context 2063 2064 Input/Output Parameter: 2065 . X - Vector to data to 2066 2067 Level: advanced 2068 2069 .keywords: mesh 2070 .seealso: `DMPlexLandauCreateVelocitySpace()` 2071 @*/ 2072 PetscErrorCode DMPlexLandauAccess(DM pack, Vec X, PetscErrorCode (*func)(DM, Vec, PetscInt, PetscInt, PetscInt, void *), void *user_ctx) 2073 { 2074 LandauCtx *ctx; 2075 PetscFunctionBegin; 2076 PetscCall(DMGetApplicationContext(pack, &ctx)); // uses ctx->num_grids; ctx->plex[grid]; ctx->batch_sz; ctx->mat_offset 2077 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2078 PetscInt dim, n; 2079 PetscCall(DMGetDimension(pack, &dim)); 2080 for (PetscInt sp = ctx->species_offset[grid], i0 = 0; sp < ctx->species_offset[grid + 1]; sp++, i0++) { 2081 Vec vec; 2082 PetscInt vf[1] = {i0}; 2083 IS vis; 2084 DM vdm; 2085 PetscCall(DMCreateSubDM(ctx->plex[grid], 1, vf, &vis, &vdm)); 2086 PetscCall(DMSetApplicationContext(vdm, ctx)); // the user might want this 2087 PetscCall(DMCreateGlobalVector(vdm, &vec)); 2088 PetscCall(VecGetSize(vec, &n)); 2089 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2090 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2091 PetscCall(VecZeroEntries(vec)); 2092 /* Add your data with 'dm' for species 'sp' to 'vec' */ 2093 PetscCall(func(vdm, vec, i0, grid, b_id, user_ctx)); 2094 /* add to global */ 2095 PetscScalar const *values; 2096 const PetscInt *offsets; 2097 PetscCall(VecGetArrayRead(vec, &values)); 2098 PetscCall(ISGetIndices(vis, &offsets)); 2099 for (int i = 0; i < n; i++) PetscCall(VecSetValue(X, moffset + offsets[i], values[i], ADD_VALUES)); 2100 PetscCall(VecRestoreArrayRead(vec, &values)); 2101 PetscCall(ISRestoreIndices(vis, &offsets)); 2102 } // batch 2103 PetscCall(VecDestroy(&vec)); 2104 PetscCall(ISDestroy(&vis)); 2105 PetscCall(DMDestroy(&vdm)); 2106 } 2107 } // grid 2108 PetscFunctionReturn(PETSC_SUCCESS); 2109 } 2110 2111 /*@ 2112 DMPlexLandauDestroyVelocitySpace - Destroy a DMPlex velocity space mesh 2113 2114 Collective 2115 2116 Input/Output Parameters: 2117 . dm - the dm to destroy 2118 2119 Level: beginner 2120 2121 .keywords: mesh 2122 .seealso: `DMPlexLandauCreateVelocitySpace()` 2123 @*/ 2124 PetscErrorCode DMPlexLandauDestroyVelocitySpace(DM *dm) 2125 { 2126 LandauCtx *ctx; 2127 PetscFunctionBegin; 2128 PetscCall(DMGetApplicationContext(*dm, &ctx)); 2129 PetscCall(MatDestroy(&ctx->M)); 2130 PetscCall(MatDestroy(&ctx->J)); 2131 for (PetscInt ii = 0; ii < ctx->num_species; ii++) PetscCall(PetscFEDestroy(&ctx->fe[ii])); 2132 PetscCall(ISDestroy(&ctx->batch_is)); 2133 PetscCall(VecDestroy(&ctx->work_vec)); 2134 PetscCall(VecScatterDestroy(&ctx->plex_batch)); 2135 if (ctx->deviceType == LANDAU_KOKKOS) { 2136 #if defined(PETSC_HAVE_KOKKOS_KERNELS) 2137 PetscCall(LandauKokkosStaticDataClear(&ctx->SData_d)); 2138 #else 2139 SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "kokkos"); 2140 #endif 2141 } else { 2142 if (ctx->SData_d.x) { /* in a CPU run */ 2143 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; 2144 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; 2145 PetscCall(PetscFree4(ww, xx, yy, invJ)); 2146 if (zz) PetscCall(PetscFree(zz)); 2147 if (coo_elem_offsets) { 2148 PetscCall(PetscFree3(coo_elem_offsets, coo_elem_fullNb, coo_elem_point_offsets)); // could be NULL 2149 } 2150 PetscCall(PetscFree4(ctx->SData_d.alpha, ctx->SData_d.beta, ctx->SData_d.invMass, ctx->SData_d.lambdas)); 2151 } 2152 } 2153 2154 if (ctx->times[LANDAU_MATRIX_TOTAL] > 0) { // OMP timings 2155 PetscCall(PetscPrintf(ctx->comm, "TSStep N 1.0 %10.3e\n", ctx->times[LANDAU_EX2_TSSOLVE])); 2156 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)); 2157 PetscCall(PetscPrintf(ctx->comm, "3: Landau: %10.3e\n", ctx->times[LANDAU_MATRIX_TOTAL])); 2158 PetscCall(PetscPrintf(ctx->comm, "Landau Jacobian %" PetscInt_FMT " 1.0 %10.3e\n", (PetscInt)ctx->times[LANDAU_JACOBIAN_COUNT], ctx->times[LANDAU_JACOBIAN])); 2159 PetscCall(PetscPrintf(ctx->comm, "Landau Operator N 1.0 %10.3e\n", ctx->times[LANDAU_OPERATOR])); 2160 PetscCall(PetscPrintf(ctx->comm, "Landau Mass N 1.0 %10.3e\n", ctx->times[LANDAU_MASS])); 2161 PetscCall(PetscPrintf(ctx->comm, " Jac-f-df (GPU) N 1.0 %10.3e\n", ctx->times[LANDAU_F_DF])); 2162 PetscCall(PetscPrintf(ctx->comm, " Kernel (GPU) N 1.0 %10.3e\n", ctx->times[LANDAU_KERNEL])); 2163 PetscCall(PetscPrintf(ctx->comm, "MatLUFactorNum X 1.0 %10.3e\n", ctx->times[KSP_FACTOR])); 2164 PetscCall(PetscPrintf(ctx->comm, "MatSolve X 1.0 %10.3e\n", ctx->times[KSP_SOLVE])); 2165 } 2166 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMDestroy(&ctx->plex[grid])); 2167 PetscCall(PetscFree(ctx)); 2168 PetscCall(DMDestroy(dm)); 2169 PetscFunctionReturn(PETSC_SUCCESS); 2170 } 2171 2172 /* < v, ru > */ 2173 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) 2174 { 2175 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2176 f0[0] = u[ii]; 2177 } 2178 2179 /* < v, ru > */ 2180 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) 2181 { 2182 PetscInt ii = (PetscInt)PetscRealPart(constants[0]), jj = (PetscInt)PetscRealPart(constants[1]); 2183 f0[0] = x[jj] * u[ii]; /* x momentum */ 2184 } 2185 2186 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) 2187 { 2188 PetscInt i, ii = (PetscInt)PetscRealPart(constants[0]); 2189 double tmp1 = 0.; 2190 for (i = 0; i < dim; ++i) tmp1 += x[i] * x[i]; 2191 f0[0] = tmp1 * u[ii]; 2192 } 2193 2194 static PetscErrorCode gamma_n_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, void *actx) 2195 { 2196 const PetscReal *c2_0_arr = ((PetscReal *)actx); 2197 const PetscReal c02 = c2_0_arr[0]; 2198 2199 PetscFunctionBegin; 2200 for (int s = 0; s < Nf; s++) { 2201 PetscReal tmp1 = 0.; 2202 for (int i = 0; i < dim; ++i) tmp1 += x[i] * x[i]; 2203 #if defined(PETSC_USE_DEBUG) 2204 u[s] = PetscSqrtReal(1. + tmp1 / c02); // u[0] = PetscSqrtReal(1. + xx); 2205 #else 2206 { 2207 PetscReal xx = tmp1 / c02; 2208 u[s] = xx / (PetscSqrtReal(1. + xx) + 1.); // better conditioned = xx/(PetscSqrtReal(1. + xx) + 1.) 2209 } 2210 #endif 2211 } 2212 PetscFunctionReturn(PETSC_SUCCESS); 2213 } 2214 2215 /* < v, ru > */ 2216 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) 2217 { 2218 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2219 f0[0] = 2. * PETSC_PI * x[0] * u[ii]; 2220 } 2221 2222 /* < v, ru > */ 2223 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) 2224 { 2225 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2226 f0[0] = 2. * PETSC_PI * x[0] * x[1] * u[ii]; 2227 } 2228 2229 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) 2230 { 2231 PetscInt ii = (PetscInt)PetscRealPart(constants[0]); 2232 f0[0] = 2. * PETSC_PI * x[0] * (x[0] * x[0] + x[1] * x[1]) * u[ii]; 2233 } 2234 2235 /*@ 2236 DMPlexLandauPrintNorms - collects moments and prints them 2237 2238 Collective 2239 2240 Input Parameters: 2241 + X - the state 2242 - stepi - current step to print 2243 2244 Level: beginner 2245 2246 .keywords: mesh 2247 .seealso: `DMPlexLandauCreateVelocitySpace()` 2248 @*/ 2249 PetscErrorCode DMPlexLandauPrintNorms(Vec X, PetscInt stepi) 2250 { 2251 LandauCtx *ctx; 2252 PetscDS prob; 2253 DM pack; 2254 PetscInt cStart, cEnd, dim, ii, i0, nDMs; 2255 PetscScalar xmomentumtot = 0, ymomentumtot = 0, zmomentumtot = 0, energytot = 0, densitytot = 0, tt[LANDAU_MAX_SPECIES]; 2256 PetscScalar xmomentum[LANDAU_MAX_SPECIES], ymomentum[LANDAU_MAX_SPECIES], zmomentum[LANDAU_MAX_SPECIES], energy[LANDAU_MAX_SPECIES], density[LANDAU_MAX_SPECIES]; 2257 Vec *globXArray; 2258 2259 PetscFunctionBegin; 2260 PetscCall(VecGetDM(X, &pack)); 2261 PetscCheck(pack, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Vector has no DM"); 2262 PetscCall(DMGetDimension(pack, &dim)); 2263 PetscCheck(dim == 2 || dim == 3, PETSC_COMM_SELF, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " not in [2,3]", dim); 2264 PetscCall(DMGetApplicationContext(pack, &ctx)); 2265 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2266 /* print momentum and energy */ 2267 PetscCall(DMCompositeGetNumberDM(pack, &nDMs)); 2268 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); 2269 PetscCall(PetscMalloc(sizeof(*globXArray) * nDMs, &globXArray)); 2270 PetscCall(DMCompositeGetAccessArray(pack, X, nDMs, NULL, globXArray)); 2271 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2272 Vec Xloc = globXArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)]; 2273 PetscCall(DMGetDS(ctx->plex[grid], &prob)); 2274 for (ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) { 2275 PetscScalar user[2] = {(PetscScalar)i0, (PetscScalar)ctx->charges[ii]}; 2276 PetscCall(PetscDSSetConstants(prob, 2, user)); 2277 if (dim == 2) { /* 2/3X + 3V (cylindrical coordinates) */ 2278 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rden)); 2279 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2280 density[ii] = tt[0] * ctx->n_0 * ctx->charges[ii]; 2281 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rmom)); 2282 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2283 zmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2284 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rv2)); 2285 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2286 energy[ii] = tt[0] * 0.5 * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ii]; 2287 zmomentumtot += zmomentum[ii]; 2288 energytot += energy[ii]; 2289 densitytot += density[ii]; 2290 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "%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]))); 2291 } else { /* 2/3Xloc + 3V */ 2292 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_den)); 2293 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2294 density[ii] = tt[0] * ctx->n_0 * ctx->charges[ii]; 2295 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_mom)); 2296 user[1] = 0; 2297 PetscCall(PetscDSSetConstants(prob, 2, user)); 2298 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2299 xmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2300 user[1] = 1; 2301 PetscCall(PetscDSSetConstants(prob, 2, user)); 2302 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2303 ymomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2304 user[1] = 2; 2305 PetscCall(PetscDSSetConstants(prob, 2, user)); 2306 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2307 zmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii]; 2308 if (ctx->use_relativistic_corrections) { 2309 /* gamma * M * f */ 2310 if (ii == 0 && grid == 0) { // do all at once 2311 Vec Mf, globGamma, *globMfArray, *globGammaArray; 2312 PetscErrorCode (*gammaf[1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *) = {gamma_n_f}; 2313 PetscReal *c2_0[1], data[1]; 2314 2315 PetscCall(VecDuplicate(X, &globGamma)); 2316 PetscCall(VecDuplicate(X, &Mf)); 2317 PetscCall(PetscMalloc(sizeof(*globMfArray) * nDMs, &globMfArray)); 2318 PetscCall(PetscMalloc(sizeof(*globMfArray) * nDMs, &globGammaArray)); 2319 /* M * f */ 2320 PetscCall(MatMult(ctx->M, X, Mf)); 2321 /* gamma */ 2322 PetscCall(DMCompositeGetAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2323 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 2324 Vec v1 = globGammaArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)]; 2325 data[0] = PetscSqr(C_0(ctx->v_0)); 2326 c2_0[0] = &data[0]; 2327 PetscCall(DMProjectFunction(ctx->plex[grid], 0., gammaf, (void **)c2_0, INSERT_ALL_VALUES, v1)); 2328 } 2329 PetscCall(DMCompositeRestoreAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2330 /* gamma * Mf */ 2331 PetscCall(DMCompositeGetAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2332 PetscCall(DMCompositeGetAccessArray(pack, Mf, nDMs, NULL, globMfArray)); 2333 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { // yes a grid loop in a grid loop to print nice 2334 PetscInt Nf = ctx->species_offset[grid + 1] - ctx->species_offset[grid], N, bs; 2335 Vec Mfsub = globMfArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)], Gsub = globGammaArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)], v1, v2; 2336 // get each component 2337 PetscCall(VecGetSize(Mfsub, &N)); 2338 PetscCall(VecCreate(ctx->comm, &v1)); 2339 PetscCall(VecSetSizes(v1, PETSC_DECIDE, N / Nf)); 2340 PetscCall(VecCreate(ctx->comm, &v2)); 2341 PetscCall(VecSetSizes(v2, PETSC_DECIDE, N / Nf)); 2342 PetscCall(VecSetFromOptions(v1)); // ??? 2343 PetscCall(VecSetFromOptions(v2)); 2344 // get each component 2345 PetscCall(VecGetBlockSize(Gsub, &bs)); 2346 PetscCheck(bs == Nf, PETSC_COMM_SELF, PETSC_ERR_PLIB, "bs %" PetscInt_FMT " != num_species %" PetscInt_FMT " in Gsub", bs, Nf); 2347 PetscCall(VecGetBlockSize(Mfsub, &bs)); 2348 PetscCheck(bs == Nf, PETSC_COMM_SELF, PETSC_ERR_PLIB, "bs %" PetscInt_FMT " != num_species %" PetscInt_FMT, bs, Nf); 2349 for (int i = 0, ix = ctx->species_offset[grid]; i < Nf; i++, ix++) { 2350 PetscScalar val; 2351 PetscCall(VecStrideGather(Gsub, i, v1, INSERT_VALUES)); // this is not right -- TODO 2352 PetscCall(VecStrideGather(Mfsub, i, v2, INSERT_VALUES)); 2353 PetscCall(VecDot(v1, v2, &val)); 2354 energy[ix] = PetscRealPart(val) * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ix]; 2355 } 2356 PetscCall(VecDestroy(&v1)); 2357 PetscCall(VecDestroy(&v2)); 2358 } /* grids */ 2359 PetscCall(DMCompositeRestoreAccessArray(pack, globGamma, nDMs, NULL, globGammaArray)); 2360 PetscCall(DMCompositeRestoreAccessArray(pack, Mf, nDMs, NULL, globMfArray)); 2361 PetscCall(PetscFree(globGammaArray)); 2362 PetscCall(PetscFree(globMfArray)); 2363 PetscCall(VecDestroy(&globGamma)); 2364 PetscCall(VecDestroy(&Mf)); 2365 } 2366 } else { 2367 PetscCall(PetscDSSetObjective(prob, 0, &f0_s_v2)); 2368 PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx)); 2369 energy[ii] = 0.5 * tt[0] * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ii]; 2370 } 2371 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "%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]))); 2372 xmomentumtot += xmomentum[ii]; 2373 ymomentumtot += ymomentum[ii]; 2374 zmomentumtot += zmomentum[ii]; 2375 energytot += energy[ii]; 2376 densitytot += density[ii]; 2377 } 2378 if (ctx->num_species > 1) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n")); 2379 } 2380 } 2381 PetscCall(DMCompositeRestoreAccessArray(pack, X, nDMs, NULL, globXArray)); 2382 PetscCall(PetscFree(globXArray)); 2383 /* totals */ 2384 PetscCall(DMPlexGetHeightStratum(ctx->plex[0], 0, &cStart, &cEnd)); 2385 if (ctx->num_species > 1) { 2386 if (dim == 2) { 2387 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\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), 2388 (double)(ctx->masses[1] / ctx->masses[0]), cEnd - cStart)); 2389 } else { 2390 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\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), 2391 (double)(ctx->masses[1] / ctx->masses[0]), cEnd - cStart)); 2392 } 2393 } else PetscCall(PetscPrintf(PETSC_COMM_WORLD, " -- %" PetscInt_FMT " cells", cEnd - cStart)); 2394 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n")); 2395 PetscFunctionReturn(PETSC_SUCCESS); 2396 } 2397 2398 /*@ 2399 DMPlexLandauCreateMassMatrix - Create mass matrix for Landau in Plex space (not field major order of Jacobian) 2400 - puts mass matrix into ctx->M 2401 2402 Collective 2403 2404 Input Parameter: 2405 . pack - the DM object. Puts matrix in Landau context M field 2406 2407 Output Parameter: 2408 . Amat - The mass matrix (optional), mass matrix is added to the DM context 2409 2410 Level: beginner 2411 2412 .keywords: mesh 2413 .seealso: `DMPlexLandauCreateVelocitySpace()` 2414 @*/ 2415 PetscErrorCode DMPlexLandauCreateMassMatrix(DM pack, Mat *Amat) 2416 { 2417 DM mass_pack, massDM[LANDAU_MAX_GRIDS]; 2418 PetscDS prob; 2419 PetscInt ii, dim, N1 = 1, N2; 2420 LandauCtx *ctx; 2421 Mat packM, subM[LANDAU_MAX_GRIDS]; 2422 2423 PetscFunctionBegin; 2424 PetscValidHeaderSpecific(pack, DM_CLASSID, 1); 2425 if (Amat) PetscValidPointer(Amat, 2); 2426 PetscCall(DMGetApplicationContext(pack, &ctx)); 2427 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2428 PetscCall(PetscLogEventBegin(ctx->events[14], 0, 0, 0, 0)); 2429 PetscCall(DMGetDimension(pack, &dim)); 2430 PetscCall(DMCompositeCreate(PetscObjectComm((PetscObject)pack), &mass_pack)); 2431 /* create pack mass matrix */ 2432 for (PetscInt grid = 0, ix = 0; grid < ctx->num_grids; grid++) { 2433 PetscCall(DMClone(ctx->plex[grid], &massDM[grid])); 2434 PetscCall(DMCopyFields(ctx->plex[grid], massDM[grid])); 2435 PetscCall(DMCreateDS(massDM[grid])); 2436 PetscCall(DMGetDS(massDM[grid], &prob)); 2437 for (ix = 0, ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++, ix++) { 2438 if (dim == 3) PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_1, NULL, NULL, NULL)); 2439 else PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_r, NULL, NULL, NULL)); 2440 } 2441 #if !defined(LANDAU_SPECIES_MAJOR) 2442 PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); 2443 #else 2444 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid 2445 PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); 2446 } 2447 #endif 2448 PetscCall(DMCreateMatrix(massDM[grid], &subM[grid])); 2449 } 2450 #if !defined(LANDAU_SPECIES_MAJOR) 2451 // stack the batched DMs 2452 for (PetscInt b_id = 1; b_id < ctx->batch_sz; b_id++) { 2453 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMCompositeAddDM(mass_pack, massDM[grid])); 2454 } 2455 #endif 2456 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); 2457 PetscCall(DMCreateMatrix(mass_pack, &packM)); 2458 PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false")); 2459 PetscCall(MatSetOption(packM, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE)); 2460 PetscCall(MatSetOption(packM, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE)); 2461 PetscCall(DMDestroy(&mass_pack)); 2462 /* make mass matrix for each block */ 2463 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2464 Vec locX; 2465 DM plex = massDM[grid]; 2466 PetscCall(DMGetLocalVector(plex, &locX)); 2467 /* Mass matrix is independent of the input, so no need to fill locX */ 2468 PetscCall(DMPlexSNESComputeJacobianFEM(plex, locX, subM[grid], subM[grid], ctx)); 2469 PetscCall(DMRestoreLocalVector(plex, &locX)); 2470 PetscCall(DMDestroy(&massDM[grid])); 2471 } 2472 PetscCall(MatGetSize(ctx->J, &N1, NULL)); 2473 PetscCall(MatGetSize(packM, &N2, NULL)); 2474 PetscCheck(N1 == N2, PetscObjectComm((PetscObject)pack), PETSC_ERR_PLIB, "Incorrect matrix sizes: |Jacobian| = %" PetscInt_FMT ", |Mass|=%" PetscInt_FMT, N1, N2); 2475 /* assemble block diagonals */ 2476 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { 2477 Mat B = subM[grid]; 2478 PetscInt nloc, nzl, *colbuf, COL_BF_SIZE = 1024, row; 2479 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 2480 PetscCall(MatGetSize(B, &nloc, NULL)); 2481 for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { 2482 const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset); 2483 const PetscInt *cols; 2484 const PetscScalar *vals; 2485 for (int i = 0; i < nloc; i++) { 2486 PetscCall(MatGetRow(B, i, &nzl, NULL, NULL)); 2487 if (nzl > COL_BF_SIZE) { 2488 PetscCall(PetscFree(colbuf)); 2489 PetscCall(PetscInfo(pack, "Realloc buffer %" PetscInt_FMT " to %" PetscInt_FMT " (row size %" PetscInt_FMT ") \n", COL_BF_SIZE, 2 * COL_BF_SIZE, nzl)); 2490 COL_BF_SIZE = nzl; 2491 PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf)); 2492 } 2493 PetscCall(MatGetRow(B, i, &nzl, &cols, &vals)); 2494 for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset; 2495 row = i + moffset; 2496 PetscCall(MatSetValues(packM, 1, &row, nzl, colbuf, vals, INSERT_VALUES)); 2497 PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals)); 2498 } 2499 } 2500 PetscCall(PetscFree(colbuf)); 2501 } 2502 // cleanup 2503 for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(MatDestroy(&subM[grid])); 2504 PetscCall(MatAssemblyBegin(packM, MAT_FINAL_ASSEMBLY)); 2505 PetscCall(MatAssemblyEnd(packM, MAT_FINAL_ASSEMBLY)); 2506 PetscCall(PetscObjectSetName((PetscObject)packM, "mass")); 2507 PetscCall(MatViewFromOptions(packM, NULL, "-dm_landau_mass_view")); 2508 ctx->M = packM; 2509 if (Amat) *Amat = packM; 2510 PetscCall(PetscLogEventEnd(ctx->events[14], 0, 0, 0, 0)); 2511 PetscFunctionReturn(PETSC_SUCCESS); 2512 } 2513 2514 /*@ 2515 DMPlexLandauIFunction - TS residual calculation, confusingly this computes the Jacobian w/o mass 2516 2517 Collective 2518 2519 Input Parameters: 2520 + TS - The time stepping context 2521 . time_dummy - current time (not used) 2522 . X - Current state 2523 . X_t - Time derivative of current state 2524 - actx - Landau context 2525 2526 Output Parameter: 2527 . F - The residual 2528 2529 Level: beginner 2530 2531 .keywords: mesh 2532 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauIJacobian()` 2533 @*/ 2534 PetscErrorCode DMPlexLandauIFunction(TS ts, PetscReal time_dummy, Vec X, Vec X_t, Vec F, void *actx) 2535 { 2536 LandauCtx *ctx = (LandauCtx *)actx; 2537 PetscInt dim; 2538 DM pack; 2539 #if defined(PETSC_HAVE_THREADSAFETY) 2540 double starttime, endtime; 2541 #endif 2542 PetscObjectState state; 2543 2544 PetscFunctionBegin; 2545 PetscCall(TSGetDM(ts, &pack)); 2546 PetscCall(DMGetApplicationContext(pack, &ctx)); 2547 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2548 if (ctx->stage) PetscCall(PetscLogStagePush(ctx->stage)); 2549 PetscCall(PetscLogEventBegin(ctx->events[11], 0, 0, 0, 0)); 2550 PetscCall(PetscLogEventBegin(ctx->events[0], 0, 0, 0, 0)); 2551 #if defined(PETSC_HAVE_THREADSAFETY) 2552 starttime = MPI_Wtime(); 2553 #endif 2554 PetscCall(DMGetDimension(pack, &dim)); 2555 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2556 if (state != ctx->norm_state) { 2557 PetscCall(PetscInfo(ts, "Create Landau Jacobian t=%g J.state %" PetscInt64_FMT " --> %" PetscInt64_FMT "\n", (double)time_dummy, ctx->norm_state, state)); 2558 PetscCall(MatZeroEntries(ctx->J)); 2559 PetscCall(LandauFormJacobian_Internal(X, ctx->J, dim, 0.0, (void *)ctx)); 2560 PetscCall(MatViewFromOptions(ctx->J, NULL, "-dm_landau_jacobian_view")); 2561 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2562 ctx->norm_state = state; 2563 } else { 2564 PetscCall(PetscInfo(ts, "WARNING Skip forming Jacobian, has not changed %" PetscInt64_FMT "\n", state)); 2565 } 2566 /* mat vec for op */ 2567 PetscCall(MatMult(ctx->J, X, F)); /* C*f */ 2568 /* add time term */ 2569 if (X_t) PetscCall(MatMultAdd(ctx->M, X_t, F, F)); 2570 #if defined(PETSC_HAVE_THREADSAFETY) 2571 if (ctx->stage) { 2572 endtime = MPI_Wtime(); 2573 ctx->times[LANDAU_OPERATOR] += (endtime - starttime); 2574 ctx->times[LANDAU_JACOBIAN] += (endtime - starttime); 2575 ctx->times[LANDAU_MATRIX_TOTAL] += (endtime - starttime); 2576 ctx->times[LANDAU_JACOBIAN_COUNT] += 1; 2577 } 2578 #endif 2579 PetscCall(PetscLogEventEnd(ctx->events[0], 0, 0, 0, 0)); 2580 PetscCall(PetscLogEventEnd(ctx->events[11], 0, 0, 0, 0)); 2581 if (ctx->stage) PetscCall(PetscLogStagePop()); 2582 PetscFunctionReturn(PETSC_SUCCESS); 2583 } 2584 2585 /*@ 2586 DMPlexLandauIJacobian - TS Jacobian construction, confusingly this adds mass 2587 2588 Collective 2589 2590 Input Parameters: 2591 + TS - The time stepping context 2592 . time_dummy - current time (not used) 2593 . X - Current state 2594 . U_tdummy - Time derivative of current state (not used) 2595 . shift - shift for du/dt term 2596 - actx - Landau context 2597 2598 Output Parameters: 2599 + Amat - Jacobian 2600 - Pmat - same as Amat 2601 2602 Level: beginner 2603 2604 .keywords: mesh 2605 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauIFunction()` 2606 @*/ 2607 PetscErrorCode DMPlexLandauIJacobian(TS ts, PetscReal time_dummy, Vec X, Vec U_tdummy, PetscReal shift, Mat Amat, Mat Pmat, void *actx) 2608 { 2609 LandauCtx *ctx = NULL; 2610 PetscInt dim; 2611 DM pack; 2612 #if defined(PETSC_HAVE_THREADSAFETY) 2613 double starttime, endtime; 2614 #endif 2615 PetscObjectState state; 2616 2617 PetscFunctionBegin; 2618 PetscCall(TSGetDM(ts, &pack)); 2619 PetscCall(DMGetApplicationContext(pack, &ctx)); 2620 PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 2621 PetscCheck(Amat == Pmat && Amat == ctx->J, ctx->comm, PETSC_ERR_PLIB, "Amat!=Pmat || Amat!=ctx->J"); 2622 PetscCall(DMGetDimension(pack, &dim)); 2623 /* get collision Jacobian into A */ 2624 if (ctx->stage) PetscCall(PetscLogStagePush(ctx->stage)); 2625 PetscCall(PetscLogEventBegin(ctx->events[11], 0, 0, 0, 0)); 2626 PetscCall(PetscLogEventBegin(ctx->events[9], 0, 0, 0, 0)); 2627 #if defined(PETSC_HAVE_THREADSAFETY) 2628 starttime = MPI_Wtime(); 2629 #endif 2630 PetscCall(PetscInfo(ts, "Adding mass to Jacobian t=%g, shift=%g\n", (double)time_dummy, (double)shift)); 2631 PetscCheck(shift != 0.0, ctx->comm, PETSC_ERR_PLIB, "zero shift"); 2632 PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state)); 2633 PetscCheck(state == ctx->norm_state, ctx->comm, PETSC_ERR_PLIB, "wrong state, %" PetscInt64_FMT " %" PetscInt64_FMT "", ctx->norm_state, state); 2634 if (!ctx->use_matrix_mass) { 2635 PetscCall(LandauFormJacobian_Internal(X, ctx->J, dim, shift, (void *)ctx)); 2636 } else { /* add mass */ 2637 PetscCall(MatAXPY(Pmat, shift, ctx->M, SAME_NONZERO_PATTERN)); 2638 } 2639 #if defined(PETSC_HAVE_THREADSAFETY) 2640 if (ctx->stage) { 2641 endtime = MPI_Wtime(); 2642 ctx->times[LANDAU_OPERATOR] += (endtime - starttime); 2643 ctx->times[LANDAU_MASS] += (endtime - starttime); 2644 ctx->times[LANDAU_MATRIX_TOTAL] += (endtime - starttime); 2645 } 2646 #endif 2647 PetscCall(PetscLogEventEnd(ctx->events[9], 0, 0, 0, 0)); 2648 PetscCall(PetscLogEventEnd(ctx->events[11], 0, 0, 0, 0)); 2649 if (ctx->stage) PetscCall(PetscLogStagePop()); 2650 PetscFunctionReturn(PETSC_SUCCESS); 2651 } 2652