xref: /petsc/src/ts/utils/dmplexlandau/plexland.c (revision cb3ff29fa5c880872e59c11fa7fc2fbe1f738e0e)
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)
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   PetscAssertPointer(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(Nq <= LANDAU_MAX_NQND, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nq = %" PetscInt_FMT " > LANDAU_MAX_NQND (%d)", Nq, LANDAU_MAX_NQND);
126   PetscCheck(Nb <= LANDAU_MAX_NQND, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nb = %" PetscInt_FMT " > LANDAU_MAX_NQND (%d)", Nb, LANDAU_MAX_NQND);
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], &section[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)
206     PetscCall(LandauKokkosJacobian(ctx->plex, Nq, Nb, 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], &section[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_NQND];
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_NQND + 1] = (LandauIdx(*)[LANDAU_MAX_NQND + 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         size_t len;
626         PetscCall(PetscStrlen(ctx->filename, &len));
627         if (len) {
628           Vec          coords;
629           PetscScalar *x;
630           PetscInt     N;
631           char         str[] = "-dm_landau_view_file_0";
632           str[21] += grid;
633           PetscCall(DMPlexCreateFromFile(comm_self, ctx->filename, "plexland.c", PETSC_TRUE, &ctx->plex[grid]));
634           PetscCall(DMPlexOrient(ctx->plex[grid]));
635           PetscCall(DMGetCoordinatesLocal(ctx->plex[grid], &coords));
636           PetscCall(VecGetSize(coords, &N));
637           PetscCall(VecGetArray(coords, &x));
638           /* scale by domain size */
639           for (PetscInt i = 0; i < N; i += 2) {
640             x[i + 0] *= ctx->radius_perp[grid];
641             x[i + 1] *= ctx->radius_par[grid];
642           }
643           PetscCall(VecRestoreArray(coords, &x));
644           PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], ctx->filename));
645           PetscCall(PetscInfo(ctx->plex[grid], "%d) Read %s mesh file (%s)\n", (int)grid, ctx->filename, str));
646           PetscCall(DMViewFromOptions(ctx->plex[grid], NULL, str));
647         } else {
648           PetscInt       numCells = ctx->simplex ? 12 : 6, cell_size = ctx->simplex ? 3 : 4, j;
649           const PetscInt numVerts    = 11;
650           PetscInt       cellsT[][4] = {
651             {0,  1, 6, 5 },
652             {1,  2, 7, 6 },
653             {2,  3, 8, 7 },
654             {3,  4, 9, 8 },
655             {5,  6, 7, 10},
656             {10, 7, 8, 9 }
657           };
658           PetscInt cellsS[][3] = {
659             {0,  1, 6 },
660             {1,  2, 6 },
661             {6,  2, 7 },
662             {7,  2, 8 },
663             {8,  2, 3 },
664             {8,  3, 4 },
665             {0,  6, 5 },
666             {5,  6, 7 },
667             {5,  7, 10},
668             {10, 7, 9 },
669             {9,  7, 8 },
670             {9,  8, 4 }
671           };
672           const PetscInt *pcell = (const PetscInt *)(ctx->simplex ? &cellsS[0][0] : &cellsT[0][0]);
673           PetscReal       coords[11][2], *flatCoords = (PetscReal *)&coords[0][0];
674           PetscReal       rad = ctx->radius[grid];
675           for (j = 0; j < 5; j++) { // outside edge
676             PetscReal z, r, theta = -PETSC_PI / 2 + (j % 5) * PETSC_PI / 4;
677             r            = rad * PetscCosReal(theta);
678             coords[j][0] = r;
679             z            = rad * PetscSinReal(theta);
680             coords[j][1] = z;
681           }
682           coords[j][0]   = 0;
683           coords[j++][1] = -rad * ctx->sphere_inner_radius_90degree;
684           coords[j][0]   = rad * ctx->sphere_inner_radius_45degree;
685           coords[j++][1] = -rad * ctx->sphere_inner_radius_45degree;
686           coords[j][0]   = rad * ctx->sphere_inner_radius_90degree;
687           coords[j++][1] = 0;
688           coords[j][0]   = rad * ctx->sphere_inner_radius_45degree;
689           coords[j++][1] = rad * ctx->sphere_inner_radius_45degree;
690           coords[j][0]   = 0;
691           coords[j++][1] = rad * ctx->sphere_inner_radius_90degree;
692           coords[j][0]   = 0;
693           coords[j++][1] = 0;
694           PetscCall(DMPlexCreateFromCellListPetsc(comm_self, 2, numCells, numVerts, cell_size, ctx->interpolate, pcell, 2, flatCoords, &ctx->plex[grid]));
695           PetscCall(PetscObjectSetName((PetscObject)ctx->plex[grid], "semi-circle"));
696           PetscCall(PetscInfo(ctx->plex[grid], "\t%" PetscInt_FMT ") Make circle %s mesh\n", grid, ctx->simplex ? "simplex" : "tensor"));
697         }
698       } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Velocity space meshes does not support 3V cubed sphere or simplex");
699       PetscCall(DMSetFromOptions(ctx->plex[grid]));
700     } // grid loop
701     PetscCall(PetscObjectSetOptionsPrefix((PetscObject)pack, prefix));
702     { /* convert to p4est (or whatever), wait for discretization to create pack */
703       char      convType[256];
704       PetscBool flg;
705 
706       PetscOptionsBegin(ctx->comm, prefix, "Mesh conversion options", "DMPLEX");
707       PetscCall(PetscOptionsFList("-dm_landau_type", "Convert DMPlex to another format (p4est)", "plexland.c", DMList, DMPLEX, convType, 256, &flg));
708       PetscOptionsEnd();
709       if (flg) {
710         ctx->use_p4est = PETSC_TRUE; /* flag for Forest */
711         for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
712           DM dmforest;
713           PetscCall(DMConvert(ctx->plex[grid], convType, &dmforest));
714           if (dmforest) {
715             PetscBool isForest;
716             PetscCall(PetscObjectSetOptionsPrefix((PetscObject)dmforest, prefix));
717             PetscCall(DMIsForest(dmforest, &isForest));
718             if (isForest) {
719               if (ctx->sphere) PetscCall(DMForestSetBaseCoordinateMapping(dmforest, GeometryDMLandau, ctx));
720               PetscCall(DMDestroy(&ctx->plex[grid]));
721               ctx->plex[grid] = dmforest; // Forest for adaptivity
722             } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Converted to non Forest?");
723           } else SETERRQ(ctx->comm, PETSC_ERR_PLIB, "Convert failed?");
724         }
725       } else ctx->use_p4est = PETSC_FALSE; /* flag for Forest */
726     }
727   } /* non-file */
728   PetscCall(DMSetDimension(pack, dim));
729   PetscCall(PetscObjectSetName((PetscObject)pack, "Mesh"));
730   PetscCall(DMSetApplicationContext(pack, ctx));
731 
732   PetscFunctionReturn(PETSC_SUCCESS);
733 }
734 
735 static PetscErrorCode SetupDS(DM pack, PetscInt dim, PetscInt grid, LandauCtx *ctx)
736 {
737   PetscInt     ii, i0;
738   char         buf[256];
739   PetscSection section;
740 
741   PetscFunctionBegin;
742   for (ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) {
743     if (ii == 0) PetscCall(PetscSNPrintf(buf, sizeof(buf), "e"));
744     else PetscCall(PetscSNPrintf(buf, sizeof(buf), "i%" PetscInt_FMT, ii));
745     /* Setup Discretization - FEM */
746     PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, ctx->simplex, NULL, PETSC_DECIDE, &ctx->fe[ii]));
747     PetscCall(PetscObjectSetName((PetscObject)ctx->fe[ii], buf));
748     PetscCall(DMSetField(ctx->plex[grid], i0, NULL, (PetscObject)ctx->fe[ii]));
749   }
750   PetscCall(DMCreateDS(ctx->plex[grid]));
751   PetscCall(DMGetSection(ctx->plex[grid], &section));
752   for (PetscInt ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) {
753     if (ii == 0) PetscCall(PetscSNPrintf(buf, sizeof(buf), "se"));
754     else PetscCall(PetscSNPrintf(buf, sizeof(buf), "si%" PetscInt_FMT, ii));
755     PetscCall(PetscSectionSetComponentName(section, i0, 0, buf));
756   }
757   PetscFunctionReturn(PETSC_SUCCESS);
758 }
759 
760 /* Define a Maxwellian function for testing out the operator. */
761 
762 /* Using cartesian velocity space coordinates, the particle */
763 /* density, [1/m^3], is defined according to */
764 
765 /* $$ n=\int_{R^3} dv^3 \left(\frac{m}{2\pi T}\right)^{3/2}\exp [- mv^2/(2T)] $$ */
766 
767 /* Using some constant, c, we normalize the velocity vector into a */
768 /* dimensionless variable according to v=c*x. Thus the density, $n$, becomes */
769 
770 /* $$ n=\int_{R^3} dx^3 \left(\frac{mc^2}{2\pi T}\right)^{3/2}\exp [- mc^2/(2T)*x^2] $$ */
771 
772 /* Defining $\theta=2T/mc^2$, we thus find that the probability density */
773 /* for finding the particle within the interval in a box dx^3 around x is */
774 
775 /* f(x;\theta)=\left(\frac{1}{\pi\theta}\right)^{3/2} \exp [ -x^2/\theta ] */
776 
777 typedef struct {
778   PetscReal v_0;
779   PetscReal kT_m;
780   PetscReal n;
781   PetscReal shift;
782 } MaxwellianCtx;
783 
784 static PetscErrorCode maxwellian(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf_dummy, PetscScalar *u, void *actx)
785 {
786   MaxwellianCtx *mctx = (MaxwellianCtx *)actx;
787   PetscInt       i;
788   PetscReal      v2 = 0, theta = 2 * mctx->kT_m / (mctx->v_0 * mctx->v_0), shift; /* theta = 2kT/mc^2 */
789   PetscFunctionBegin;
790   /* compute the exponents, v^2 */
791   for (i = 0; i < dim; ++i) v2 += x[i] * x[i];
792   /* evaluate the Maxwellian */
793   if (mctx->shift < 0) shift = -mctx->shift;
794   else {
795     u[0]  = mctx->n * PetscPowReal(PETSC_PI * theta, -1.5) * (PetscExpReal(-v2 / theta));
796     shift = mctx->shift;
797   }
798   if (shift != 0.) {
799     v2 = 0;
800     for (i = 0; i < dim - 1; ++i) v2 += x[i] * x[i];
801     v2 += (x[dim - 1] - shift) * (x[dim - 1] - shift);
802     /* evaluate the shifted Maxwellian */
803     u[0] += mctx->n * PetscPowReal(PETSC_PI * theta, -1.5) * (PetscExpReal(-v2 / theta));
804   }
805   PetscFunctionReturn(PETSC_SUCCESS);
806 }
807 
808 /*@
809   DMPlexLandauAddMaxwellians - Add a Maxwellian distribution to a state
810 
811   Collective
812 
813   Input Parameters:
814 + dm      - The mesh (local)
815 . time    - Current time
816 . temps   - Temperatures of each species (global)
817 . ns      - Number density of each species (global)
818 . grid    - index into current grid - just used for offset into `temp` and `ns`
819 . b_id    - batch index
820 . n_batch - number of batches
821 - actx    - Landau context
822 
823   Output Parameter:
824 . X - The state (local to this grid)
825 
826   Level: beginner
827 
828 .seealso: `DMPlexLandauCreateVelocitySpace()`
829  @*/
830 PetscErrorCode DMPlexLandauAddMaxwellians(DM dm, Vec X, PetscReal time, PetscReal temps[], PetscReal ns[], PetscInt grid, PetscInt b_id, PetscInt n_batch, void *actx)
831 {
832   LandauCtx *ctx = (LandauCtx *)actx;
833   PetscErrorCode (*initu[LANDAU_MAX_SPECIES])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *);
834   PetscInt       dim;
835   MaxwellianCtx *mctxs[LANDAU_MAX_SPECIES], data[LANDAU_MAX_SPECIES];
836 
837   PetscFunctionBegin;
838   PetscCall(DMGetDimension(dm, &dim));
839   if (!ctx) PetscCall(DMGetApplicationContext(dm, &ctx));
840   for (PetscInt ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) {
841     mctxs[i0]      = &data[i0];
842     data[i0].v_0   = ctx->v_0;                             // v_0 same for all grids
843     data[i0].kT_m  = ctx->k * temps[ii] / ctx->masses[ii]; /* kT/m */
844     data[i0].n     = ns[ii];
845     initu[i0]      = maxwellian;
846     data[i0].shift = 0;
847   }
848   data[0].shift = ctx->electronShift;
849   /* need to make ADD_ALL_VALUES work - TODO */
850   PetscCall(DMProjectFunction(dm, time, initu, (void **)mctxs, INSERT_ALL_VALUES, X));
851   PetscFunctionReturn(PETSC_SUCCESS);
852 }
853 
854 /*
855  LandauSetInitialCondition - Adds Maxwellians with context
856 
857  Collective
858 
859  Input Parameters:
860  .   dm - The mesh
861  -   grid - index into current grid - just used for offset into temp and ns
862  .   b_id - batch index
863  -   n_batch - number of batches
864  +   actx - Landau context with T and n
865 
866  Output Parameter:
867  .   X  - The state
868 
869  Level: beginner
870 
871 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauAddMaxwellians()`
872  */
873 static PetscErrorCode LandauSetInitialCondition(DM dm, Vec X, PetscInt grid, PetscInt b_id, PetscInt n_batch, void *actx)
874 {
875   LandauCtx *ctx = (LandauCtx *)actx;
876   PetscFunctionBegin;
877   if (!ctx) PetscCall(DMGetApplicationContext(dm, &ctx));
878   PetscCall(VecZeroEntries(X));
879   PetscCall(DMPlexLandauAddMaxwellians(dm, X, 0.0, ctx->thermal_temps, ctx->n, grid, b_id, n_batch, ctx));
880   PetscFunctionReturn(PETSC_SUCCESS);
881 }
882 
883 // adapt a level once. Forest in/out
884 #if defined(PETSC_USE_INFO)
885 static const char *s_refine_names[] = {"RE", "Z1", "Origin", "Z2", "Uniform"};
886 #endif
887 static PetscErrorCode adaptToleranceFEM(PetscFE fem, Vec sol, PetscInt type, PetscInt grid, LandauCtx *ctx, DM *newForest)
888 {
889   DM              forest, plex, adaptedDM = NULL;
890   PetscDS         prob;
891   PetscBool       isForest;
892   PetscQuadrature quad;
893   PetscInt        Nq, Nb, *Nb2, cStart, cEnd, c, dim, qj, k;
894   DMLabel         adaptLabel = NULL;
895 
896   PetscFunctionBegin;
897   forest = ctx->plex[grid];
898   PetscCall(DMCreateDS(forest));
899   PetscCall(DMGetDS(forest, &prob));
900   PetscCall(DMGetDimension(forest, &dim));
901   PetscCall(DMIsForest(forest, &isForest));
902   PetscCheck(isForest, ctx->comm, PETSC_ERR_ARG_WRONG, "! Forest");
903   PetscCall(DMConvert(forest, DMPLEX, &plex));
904   PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd));
905   PetscCall(DMLabelCreate(PETSC_COMM_SELF, "adapt", &adaptLabel));
906   PetscCall(PetscFEGetQuadrature(fem, &quad));
907   PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, NULL));
908   PetscCheck(Nq <= LANDAU_MAX_NQND, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nq = %" PetscInt_FMT " > LANDAU_MAX_NQND (%d)", Nq, LANDAU_MAX_NQND);
909   PetscCall(PetscFEGetDimension(ctx->fe[0], &Nb));
910   PetscCall(PetscDSGetDimensions(prob, &Nb2));
911   PetscCheck(Nb2[0] == Nb, ctx->comm, PETSC_ERR_ARG_WRONG, " Nb = %" PetscInt_FMT " != Nb (%d)", Nb, (int)Nb2[0]);
912   PetscCheck(Nb <= LANDAU_MAX_NQND, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nb = %" PetscInt_FMT " > LANDAU_MAX_NQND (%d)", Nb, LANDAU_MAX_NQND);
913   PetscCall(PetscInfo(sol, "%" PetscInt_FMT ") Refine phase: %s\n", grid, s_refine_names[type]));
914   if (type == 4) {
915     for (c = cStart; c < cEnd; c++) PetscCall(DMLabelSetValue(adaptLabel, c, DM_ADAPT_REFINE));
916   } else if (type == 2) {
917     PetscInt  rCellIdx[8], nr = 0, nrmax = (dim == 3) ? 8 : 2;
918     PetscReal minRad = PETSC_INFINITY, r;
919     for (c = cStart; c < cEnd; c++) {
920       PetscReal tt, v0[LANDAU_MAX_NQND * 3], detJ[LANDAU_MAX_NQND];
921       PetscCall(DMPlexComputeCellGeometryFEM(plex, c, quad, v0, NULL, NULL, detJ));
922       for (qj = 0; qj < Nq; ++qj) {
923         tt = PetscSqr(v0[dim * qj + 0]) + PetscSqr(v0[dim * qj + 1]) + PetscSqr(((dim == 3) ? v0[dim * qj + 2] : 0));
924         r  = PetscSqrtReal(tt);
925         if (r < minRad - PETSC_SQRT_MACHINE_EPSILON * 10.) {
926           minRad         = r;
927           nr             = 0;
928           rCellIdx[nr++] = c;
929           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));
930         } else if ((r - minRad) < PETSC_SQRT_MACHINE_EPSILON * 100. && nr < nrmax) {
931           for (k = 0; k < nr; k++)
932             if (c == rCellIdx[k]) break;
933           if (k == nr) {
934             rCellIdx[nr++] = c;
935             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)));
936           }
937         }
938       }
939     }
940     for (k = 0; k < nr; k++) PetscCall(DMLabelSetValue(adaptLabel, rCellIdx[k], DM_ADAPT_REFINE));
941     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));
942   } else if (type == 0 || type == 1 || type == 3) { /* refine along r=0 axis */
943     PetscScalar *coef = NULL;
944     Vec          coords;
945     PetscInt     csize, Nv, d, nz, nrefined = 0;
946     DM           cdm;
947     PetscSection cs;
948     PetscCall(DMGetCoordinatesLocal(forest, &coords));
949     PetscCall(DMGetCoordinateDM(forest, &cdm));
950     PetscCall(DMGetLocalSection(cdm, &cs));
951     for (c = cStart; c < cEnd; c++) {
952       PetscInt doit = 0, outside = 0;
953       PetscCall(DMPlexVecGetClosure(cdm, cs, coords, c, &csize, &coef));
954       Nv = csize / dim;
955       for (nz = d = 0; d < Nv; d++) {
956         PetscReal z = PetscRealPart(coef[d * dim + (dim - 1)]), x = PetscSqr(PetscRealPart(coef[d * dim + 0])) + ((dim == 3) ? PetscSqr(PetscRealPart(coef[d * dim + 1])) : 0);
957         x = PetscSqrtReal(x);
958         if (type == 0) {
959           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 */
960         } else if (type == 1 && (z > ctx->vperp0_radius1 || z < -ctx->vperp0_radius1)) {
961           outside++; /* don't refine outside electron refine radius */
962           PetscCall(PetscInfo(sol, "\t%" PetscInt_FMT ") (debug) found %s cells\n", grid, s_refine_names[type]));
963         } else if (type == 3 && (z > ctx->vperp0_radius2 || z < -ctx->vperp0_radius2)) {
964           outside++; /* refine r=0 cells on refinement front */
965           PetscCall(PetscInfo(sol, "\t%" PetscInt_FMT ") (debug) found %s cells\n", grid, s_refine_names[type]));
966         }
967         if (x < PETSC_MACHINE_EPSILON * 10. && (type != 0 || ctx->re_radius > PETSC_SQRT_MACHINE_EPSILON)) nz++;
968       }
969       PetscCall(DMPlexVecRestoreClosure(cdm, cs, coords, c, &csize, &coef));
970       if (doit || (outside < Nv && nz)) {
971         PetscCall(DMLabelSetValue(adaptLabel, c, DM_ADAPT_REFINE));
972         nrefined++;
973       }
974     }
975     PetscCall(PetscInfo(sol, "\t%" PetscInt_FMT ") Refined %" PetscInt_FMT " cells\n", grid, nrefined));
976   }
977   PetscCall(DMDestroy(&plex));
978   PetscCall(DMAdaptLabel(forest, adaptLabel, &adaptedDM));
979   PetscCall(DMLabelDestroy(&adaptLabel));
980   *newForest = adaptedDM;
981   if (adaptedDM) {
982     if (isForest) {
983       PetscCall(DMForestSetAdaptivityForest(adaptedDM, NULL)); // ????
984     }
985     PetscCall(DMConvert(adaptedDM, DMPLEX, &plex));
986     PetscCall(DMPlexGetHeightStratum(plex, 0, &cStart, &cEnd));
987     PetscCall(PetscInfo(sol, "\t\t\t\t%" PetscInt_FMT ") %" PetscInt_FMT " cells, %" PetscInt_FMT " total quadrature points\n", grid, cEnd - cStart, Nq * (cEnd - cStart)));
988     PetscCall(DMDestroy(&plex));
989   } else *newForest = NULL;
990   PetscFunctionReturn(PETSC_SUCCESS);
991 }
992 
993 // forest goes in (ctx->plex[grid]), plex comes out
994 static PetscErrorCode adapt(PetscInt grid, LandauCtx *ctx, Vec *uu)
995 {
996   PetscInt adaptIter;
997 
998   PetscFunctionBegin;
999   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]};
1000   for (type = 0; type < 5; type++) {
1001     for (adaptIter = 0; adaptIter < limits[type]; adaptIter++) {
1002       DM newForest = NULL;
1003       PetscCall(adaptToleranceFEM(ctx->fe[0], *uu, type, grid, ctx, &newForest));
1004       if (newForest) {
1005         PetscCall(DMDestroy(&ctx->plex[grid]));
1006         PetscCall(VecDestroy(uu));
1007         PetscCall(DMCreateGlobalVector(newForest, uu));
1008         PetscCall(PetscObjectSetName((PetscObject)*uu, "uAMR"));
1009         PetscCall(LandauSetInitialCondition(newForest, *uu, grid, 0, 1, ctx));
1010         ctx->plex[grid] = newForest;
1011       } else {
1012         PetscCall(PetscInfo(*uu, "No refinement\n"));
1013       }
1014     }
1015   }
1016   PetscFunctionReturn(PETSC_SUCCESS);
1017 }
1018 
1019 // make log(Lambdas) from NRL Plasma formulary
1020 static PetscErrorCode makeLambdas(LandauCtx *ctx)
1021 {
1022   PetscFunctionBegin;
1023   for (PetscInt gridi = 0; gridi < ctx->num_grids; gridi++) {
1024     int       iii   = ctx->species_offset[gridi];
1025     PetscReal Ti_ev = (ctx->thermal_temps[iii] / 1.1604525e7) * 1000; // convert (back) to eV
1026     PetscReal ni    = ctx->n[iii] * ctx->n_0;
1027     for (PetscInt gridj = gridi; gridj < ctx->num_grids; gridj++) {
1028       PetscInt  jjj = ctx->species_offset[gridj];
1029       PetscReal Zj  = ctx->charges[jjj] / 1.6022e-19;
1030       if (gridi == 0) {
1031         if (gridj == 0) { // lam_ee
1032           ctx->lambdas[gridi][gridj] = 23.5 - PetscLogReal(PetscSqrtReal(ni) * PetscPowReal(Ti_ev, -1.25)) - PetscSqrtReal(1e-5 + PetscSqr(PetscLogReal(Ti_ev) - 2) / 16);
1033         } else { // lam_ei == lam_ie
1034           if (10 * Zj * Zj > Ti_ev) {
1035             ctx->lambdas[gridi][gridj] = ctx->lambdas[gridj][gridi] = 23 - PetscLogReal(PetscSqrtReal(ni) * Zj * PetscPowReal(Ti_ev, -1.5));
1036           } else {
1037             ctx->lambdas[gridi][gridj] = ctx->lambdas[gridj][gridi] = 24 - PetscLogReal(PetscSqrtReal(ni) / Ti_ev);
1038           }
1039         }
1040       } else { // lam_ii'
1041         PetscReal mui = ctx->masses[iii] / 1.6720e-27, Zi = ctx->charges[iii] / 1.6022e-19;
1042         PetscReal Tj_ev            = (ctx->thermal_temps[jjj] / 1.1604525e7) * 1000; // convert (back) to eV
1043         PetscReal muj              = ctx->masses[jjj] / 1.6720e-27;
1044         PetscReal nj               = ctx->n[jjj] * ctx->n_0;
1045         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));
1046       }
1047     }
1048   }
1049   //PetscReal v0 = PetscSqrtReal(ctx->k * ctx->thermal_temps[iii] / ctx->masses[iii]); /* arbitrary units for non-dimensionalization: plasma formulary def */
1050   PetscFunctionReturn(PETSC_SUCCESS);
1051 }
1052 
1053 static PetscErrorCode ProcessOptions(LandauCtx *ctx, const char prefix[])
1054 {
1055   PetscBool flg, fileflg;
1056   PetscInt  ii, nt, nm, nc, num_species_grid[LANDAU_MAX_GRIDS], non_dim_grid;
1057   PetscReal lnLam = 10;
1058   DM        dummy;
1059 
1060   PetscFunctionBegin;
1061   PetscCall(DMCreate(ctx->comm, &dummy));
1062   /* get options - initialize context */
1063   ctx->verbose        = 1; // should be 0 for silent compliance
1064   ctx->batch_sz       = 1;
1065   ctx->batch_view_idx = 0;
1066   ctx->interpolate    = PETSC_TRUE;
1067   ctx->gpu_assembly   = PETSC_TRUE;
1068   ctx->norm_state     = 0;
1069   ctx->electronShift  = 0;
1070   ctx->M              = NULL;
1071   ctx->J              = NULL;
1072   /* geometry and grids */
1073   ctx->sphere    = PETSC_FALSE;
1074   ctx->use_p4est = PETSC_FALSE;
1075   ctx->simplex   = PETSC_FALSE;
1076   for (PetscInt grid = 0; grid < LANDAU_MAX_GRIDS; grid++) {
1077     ctx->radius[grid]             = 5.; /* thermal radius (velocity) */
1078     ctx->radius_perp[grid]        = 5.; /* thermal radius (velocity) */
1079     ctx->radius_par[grid]         = 5.; /* thermal radius (velocity) */
1080     ctx->numAMRRefine[grid]       = 0;
1081     ctx->postAMRRefine[grid]      = 0;
1082     ctx->species_offset[grid + 1] = 1; // one species default
1083     num_species_grid[grid]        = 0;
1084     ctx->plex[grid]               = NULL; /* cache as expensive to Convert */
1085   }
1086   ctx->species_offset[0] = 0;
1087   ctx->re_radius         = 0.;
1088   ctx->vperp0_radius1    = 0;
1089   ctx->vperp0_radius2    = 0;
1090   ctx->nZRefine1         = 0;
1091   ctx->nZRefine2         = 0;
1092   ctx->numRERefine       = 0;
1093   num_species_grid[0]    = 1; // one species default
1094   /* species - [0] electrons, [1] one ion species eg, duetarium, [2] heavy impurity ion, ... */
1095   ctx->charges[0]       = -1;                       /* electron charge (MKS) */
1096   ctx->masses[0]        = 1 / 1835.469965278441013; /* temporary value in proton mass */
1097   ctx->n[0]             = 1;
1098   ctx->v_0              = 1; /* thermal velocity, we could start with a scale != 1 */
1099   ctx->thermal_temps[0] = 1;
1100   /* constants, etc. */
1101   ctx->epsilon0 = 8.8542e-12;     /* permittivity of free space (MKS) F/m */
1102   ctx->k        = 1.38064852e-23; /* Boltzmann constant (MKS) J/K */
1103   ctx->n_0      = 1.e20;          /* typical plasma n, but could set it to 1 */
1104   ctx->Ez       = 0;
1105   for (PetscInt grid = 0; grid < LANDAU_NUM_TIMERS; grid++) ctx->times[grid] = 0;
1106   for (PetscInt ii = 0; ii < LANDAU_DIM; ii++) ctx->cells0[ii] = 2;
1107   if (LANDAU_DIM == 2) ctx->cells0[0] = 1;
1108   ctx->use_matrix_mass                = PETSC_FALSE;
1109   ctx->use_relativistic_corrections   = PETSC_FALSE;
1110   ctx->use_energy_tensor_trick        = PETSC_FALSE; /* Use Eero's trick for energy conservation v --> grad(v^2/2) */
1111   ctx->SData_d.w                      = NULL;
1112   ctx->SData_d.x                      = NULL;
1113   ctx->SData_d.y                      = NULL;
1114   ctx->SData_d.z                      = NULL;
1115   ctx->SData_d.invJ                   = NULL;
1116   ctx->jacobian_field_major_order     = PETSC_FALSE;
1117   ctx->SData_d.coo_elem_offsets       = NULL;
1118   ctx->SData_d.coo_elem_point_offsets = NULL;
1119   ctx->SData_d.coo_elem_fullNb        = NULL;
1120   ctx->SData_d.coo_size               = 0;
1121   PetscOptionsBegin(ctx->comm, prefix, "Options for Fokker-Plank-Landau collision operator", "none");
1122 #if defined(PETSC_HAVE_KOKKOS)
1123   ctx->deviceType = LANDAU_KOKKOS;
1124   PetscCall(PetscStrncpy(ctx->filename, "kokkos", sizeof(ctx->filename)));
1125 #else
1126   ctx->deviceType = LANDAU_CPU;
1127   PetscCall(PetscStrncpy(ctx->filename, "cpu", sizeof(ctx->filename)));
1128 #endif
1129   PetscCall(PetscOptionsString("-dm_landau_device_type", "Use kernels on 'cpu' 'kokkos'", "plexland.c", ctx->filename, ctx->filename, sizeof(ctx->filename), NULL));
1130   PetscCall(PetscStrcmp("cpu", ctx->filename, &flg));
1131   if (flg) {
1132     ctx->deviceType = LANDAU_CPU;
1133   } else {
1134     PetscCall(PetscStrcmp("kokkos", ctx->filename, &flg));
1135     if (flg) ctx->deviceType = LANDAU_KOKKOS;
1136     else SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_device_type %s", ctx->filename);
1137   }
1138   ctx->filename[0] = '\0';
1139   PetscCall(PetscOptionsString("-dm_landau_filename", "file to read mesh from", "plexland.c", ctx->filename, ctx->filename, sizeof(ctx->filename), &fileflg));
1140   PetscCall(PetscOptionsReal("-dm_landau_electron_shift", "Shift in thermal velocity of electrons", "none", ctx->electronShift, &ctx->electronShift, NULL));
1141   PetscCall(PetscOptionsInt("-dm_landau_verbose", "Level of verbosity output", "plexland.c", ctx->verbose, &ctx->verbose, NULL));
1142   PetscCall(PetscOptionsInt("-dm_landau_batch_size", "Number of 'vertices' to batch", "ex2.c", ctx->batch_sz, &ctx->batch_sz, NULL));
1143   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);
1144   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));
1145   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);
1146   PetscCall(PetscOptionsReal("-dm_landau_Ez", "Initial parallel electric field in unites of Conner-Hastie critical field", "plexland.c", ctx->Ez, &ctx->Ez, NULL));
1147   PetscCall(PetscOptionsReal("-dm_landau_n_0", "Normalization constant for number density", "plexland.c", ctx->n_0, &ctx->n_0, NULL));
1148   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));
1149   PetscCall(PetscOptionsBool("-dm_landau_use_relativistic_corrections", "Use relativistic corrections", "plexland.c", ctx->use_relativistic_corrections, &ctx->use_relativistic_corrections, NULL));
1150   PetscCall(PetscOptionsBool("-dm_landau_simplex", "Use simplex elements", "plexland.c", ctx->simplex, &ctx->simplex, NULL));
1151   if (LANDAU_DIM == 2 && ctx->use_relativistic_corrections) ctx->use_relativistic_corrections = PETSC_FALSE; // should warn
1152   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,
1153                              &ctx->use_energy_tensor_trick, NULL));
1154 
1155   /* get num species with temperature, set defaults */
1156   for (ii = 1; ii < LANDAU_MAX_SPECIES; ii++) {
1157     ctx->thermal_temps[ii] = 1;
1158     ctx->charges[ii]       = 1;
1159     ctx->masses[ii]        = 1;
1160     ctx->n[ii]             = 1;
1161   }
1162   nt = LANDAU_MAX_SPECIES;
1163   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));
1164   if (flg) {
1165     PetscCall(PetscInfo(dummy, "num_species set to number of thermal temps provided (%" PetscInt_FMT ")\n", nt));
1166     ctx->num_species = nt;
1167   } else SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_thermal_temps ,t1,t2,.. must be provided to set the number of species");
1168   for (ii = 0; ii < ctx->num_species; ii++) ctx->thermal_temps[ii] *= 1.1604525e7; /* convert to Kelvin */
1169   nm = LANDAU_MAX_SPECIES - 1;
1170   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));
1171   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);
1172   nm = LANDAU_MAX_SPECIES;
1173   PetscCall(PetscOptionsRealArray("-dm_landau_n", "Number density of each species = n_s * n_0", "plexland.c", ctx->n, &nm, &flg));
1174   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);
1175   for (ii = 0; ii < LANDAU_MAX_SPECIES; ii++) ctx->masses[ii] *= 1.6720e-27; /* scale by proton mass kg */
1176   ctx->masses[0] = 9.10938356e-31;                                           /* electron mass kg (should be about right already) */
1177   nc             = LANDAU_MAX_SPECIES - 1;
1178   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));
1179   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);
1180   for (ii = 0; ii < LANDAU_MAX_SPECIES; ii++) ctx->charges[ii] *= 1.6022e-19; /* electron/proton charge (MKS) */
1181   /* geometry and grids */
1182   nt = LANDAU_MAX_GRIDS;
1183   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));
1184   if (flg) {
1185     ctx->num_grids = nt;
1186     for (ii = nt = 0; ii < ctx->num_grids; ii++) nt += num_species_grid[ii];
1187     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,
1188                ctx->num_grids, LANDAU_MAX_GRIDS);
1189   } else {
1190     if (ctx->num_species > LANDAU_MAX_GRIDS) {
1191       num_species_grid[0] = 1;
1192       num_species_grid[1] = ctx->num_species - 1;
1193       ctx->num_grids      = 2;
1194     } else {
1195       ctx->num_grids = ctx->num_species;
1196       for (ii = 0; ii < ctx->num_grids; ii++) num_species_grid[ii] = 1;
1197     }
1198   }
1199   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];
1200   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],
1201              ctx->num_species);
1202   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1203     int iii                  = ctx->species_offset[grid];                                          // normalize with first (arbitrary) species on grid
1204     ctx->thermal_speed[grid] = PetscSqrtReal(ctx->k * ctx->thermal_temps[iii] / ctx->masses[iii]); /* arbitrary units for non-dimensionalization: plasma formulary def */
1205   }
1206   // get lambdas here because we need them for t_0 etc
1207   PetscCall(PetscOptionsReal("-dm_landau_ln_lambda", "Universal cross section parameter. Default uses NRL formulas", "plexland.c", lnLam, &lnLam, &flg));
1208   if (flg) {
1209     for (PetscInt grid = 0; grid < LANDAU_MAX_GRIDS; grid++) {
1210       for (PetscInt gridj = 0; gridj < LANDAU_MAX_GRIDS; gridj++) ctx->lambdas[gridj][grid] = lnLam; /* cross section ratio large - small angle collisions */
1211     }
1212   } else {
1213     PetscCall(makeLambdas(ctx));
1214   }
1215   non_dim_grid = 0;
1216   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));
1217   if (non_dim_grid != 0) PetscCall(PetscInfo(dummy, "Normalization grid set to %" PetscInt_FMT ", but non-default not well verified\n", non_dim_grid));
1218   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);
1219   ctx->v_0 = ctx->thermal_speed[non_dim_grid]; /* arbitrary units for non dimensionalization: global mean velocity in 1D of electrons */
1220   ctx->m_0 = ctx->masses[non_dim_grid];        /* arbitrary reference mass, electrons */
1221   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 */
1222   /* domain */
1223   nt = LANDAU_MAX_GRIDS;
1224   PetscCall(PetscOptionsRealArray("-dm_landau_domain_radius", "Phase space size in units of thermal velocity of grid", "plexland.c", ctx->radius, &nt, &flg));
1225   if (flg) {
1226     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);
1227     while (nt--) ctx->radius_par[nt] = ctx->radius_perp[nt] = ctx->radius[nt];
1228   } else {
1229     nt = LANDAU_MAX_GRIDS;
1230     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));
1231     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);
1232     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));
1233     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);
1234   }
1235   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1236     if (flg && ctx->radius[grid] <= 0) { /* negative is ratio of c - need to set par and perp with this -- todo */
1237       if (ctx->radius[grid] == 0) ctx->radius[grid] = 0.75;
1238       else ctx->radius[grid] = -ctx->radius[grid];
1239       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)
1240       PetscCall(PetscInfo(dummy, "Change domain radius to %g for grid %" PetscInt_FMT "\n", (double)ctx->radius[grid], grid));
1241     }
1242     ctx->radius[grid] *= ctx->thermal_speed[grid] / ctx->v_0;      // scale domain by thermal radius relative to v_0
1243     ctx->radius_perp[grid] *= ctx->thermal_speed[grid] / ctx->v_0; // scale domain by thermal radius relative to v_0
1244     ctx->radius_par[grid] *= ctx->thermal_speed[grid] / ctx->v_0;  // scale domain by thermal radius relative to v_0
1245   }
1246   /* amr parameters */
1247   if (!fileflg) {
1248     nt = LANDAU_MAX_GRIDS;
1249     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));
1250     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);
1251     nt = LANDAU_MAX_GRIDS;
1252     PetscCall(PetscOptionsIntArray("-dm_landau_amr_post_refine", "Number of levels to uniformly refine after AMR", "plexland.c", ctx->postAMRRefine, &nt, &flg));
1253     for (ii = 1; ii < ctx->num_grids; ii++) ctx->postAMRRefine[ii] = ctx->postAMRRefine[0]; // all grids the same now
1254     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));
1255     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));
1256     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));
1257     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));
1258     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));
1259     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));
1260     /* spherical domain (not used) */
1261     PetscCall(PetscOptionsBool("-dm_landau_sphere", "use sphere/semi-circle domain instead of rectangle", "plexland.c", ctx->sphere, &ctx->sphere, NULL));
1262     if (ctx->sphere || ctx->simplex) {
1263       ctx->sphere_inner_radius_90degree = 0.40;
1264       ctx->sphere_inner_radius_45degree = 0.35;
1265       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));
1266       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));
1267     } else {
1268       nt = LANDAU_DIM;
1269       PetscCall(PetscOptionsIntArray("-dm_landau_num_cells", "Number of cells in each dimension of base grid", "plexland.c", ctx->cells0, &nt, &flg));
1270     }
1271   }
1272   /* processing options */
1273   PetscCall(PetscOptionsBool("-dm_landau_gpu_assembly", "Assemble Jacobian on GPU", "plexland.c", ctx->gpu_assembly, &ctx->gpu_assembly, NULL));
1274   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));
1275   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");
1276   PetscCheck(!ctx->jacobian_field_major_order, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_jacobian_field_major_order DEPRECATED");
1277   PetscOptionsEnd();
1278 
1279   for (ii = ctx->num_species; ii < LANDAU_MAX_SPECIES; ii++) ctx->masses[ii] = ctx->thermal_temps[ii] = ctx->charges[ii] = 0;
1280   if (ctx->verbose != 0) {
1281     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)));
1282     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)));
1283     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)));
1284     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],
1285                           (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));
1286     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]));
1287     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]));
1288     if (ctx->use_relativistic_corrections) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\nUse relativistic corrections\n"));
1289     else PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n"));
1290   }
1291   PetscCall(DMDestroy(&dummy));
1292   {
1293     PetscMPIInt rank;
1294     PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
1295     ctx->stage = 0;
1296     PetscCall(PetscLogEventRegister("Landau Create", DM_CLASSID, &ctx->events[13]));   /* 13 */
1297     PetscCall(PetscLogEventRegister(" GPU ass. setup", DM_CLASSID, &ctx->events[2]));  /* 2 */
1298     PetscCall(PetscLogEventRegister(" Build matrix", DM_CLASSID, &ctx->events[12]));   /* 12 */
1299     PetscCall(PetscLogEventRegister(" Assembly maps", DM_CLASSID, &ctx->events[15]));  /* 15 */
1300     PetscCall(PetscLogEventRegister("Landau Mass mat", DM_CLASSID, &ctx->events[14])); /* 14 */
1301     PetscCall(PetscLogEventRegister("Landau Operator", DM_CLASSID, &ctx->events[11])); /* 11 */
1302     PetscCall(PetscLogEventRegister("Landau Jacobian", DM_CLASSID, &ctx->events[0]));  /* 0 */
1303     PetscCall(PetscLogEventRegister("Landau Mass", DM_CLASSID, &ctx->events[9]));      /* 9 */
1304     PetscCall(PetscLogEventRegister(" Preamble", DM_CLASSID, &ctx->events[10]));       /* 10 */
1305     PetscCall(PetscLogEventRegister(" static IP Data", DM_CLASSID, &ctx->events[7]));  /* 7 */
1306     PetscCall(PetscLogEventRegister(" dynamic IP-Jac", DM_CLASSID, &ctx->events[1]));  /* 1 */
1307     PetscCall(PetscLogEventRegister(" Kernel-init", DM_CLASSID, &ctx->events[3]));     /* 3 */
1308     PetscCall(PetscLogEventRegister(" Jac-f-df (GPU)", DM_CLASSID, &ctx->events[8]));  /* 8 */
1309     PetscCall(PetscLogEventRegister(" J Kernel (GPU)", DM_CLASSID, &ctx->events[4]));  /* 4 */
1310     PetscCall(PetscLogEventRegister(" M Kernel (GPU)", DM_CLASSID, &ctx->events[16])); /* 16 */
1311     PetscCall(PetscLogEventRegister(" Copy to CPU", DM_CLASSID, &ctx->events[5]));     /* 5 */
1312     PetscCall(PetscLogEventRegister(" CPU assemble", DM_CLASSID, &ctx->events[6]));    /* 6 */
1313 
1314     if (rank) { /* turn off output stuff for duplicate runs - do we need to add the prefix to all this? */
1315       PetscCall(PetscOptionsClearValue(NULL, "-snes_converged_reason"));
1316       PetscCall(PetscOptionsClearValue(NULL, "-ksp_converged_reason"));
1317       PetscCall(PetscOptionsClearValue(NULL, "-snes_monitor"));
1318       PetscCall(PetscOptionsClearValue(NULL, "-ksp_monitor"));
1319       PetscCall(PetscOptionsClearValue(NULL, "-ts_monitor"));
1320       PetscCall(PetscOptionsClearValue(NULL, "-ts_view"));
1321       PetscCall(PetscOptionsClearValue(NULL, "-ts_adapt_monitor"));
1322       PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_amr_dm_view"));
1323       PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_amr_vec_view"));
1324       PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mass_dm_view"));
1325       PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mass_view"));
1326       PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_jacobian_view"));
1327       PetscCall(PetscOptionsClearValue(NULL, "-dm_landau_mat_view"));
1328       PetscCall(PetscOptionsClearValue(NULL, "-pc_bjkokkos_ksp_converged_reason"));
1329       PetscCall(PetscOptionsClearValue(NULL, "-pc_bjkokkos_ksp_monitor"));
1330       PetscCall(PetscOptionsClearValue(NULL, "-"));
1331       PetscCall(PetscOptionsClearValue(NULL, "-info"));
1332     }
1333   }
1334   PetscFunctionReturn(PETSC_SUCCESS);
1335 }
1336 
1337 static PetscErrorCode CreateStaticData(PetscInt dim, IS grid_batch_is_inv[], LandauCtx *ctx)
1338 {
1339   PetscSection     section[LANDAU_MAX_GRIDS], globsection[LANDAU_MAX_GRIDS];
1340   PetscQuadrature  quad;
1341   const PetscReal *quadWeights;
1342   PetscReal        invMass[LANDAU_MAX_SPECIES], nu_alpha[LANDAU_MAX_SPECIES], nu_beta[LANDAU_MAX_SPECIES];
1343   PetscInt         numCells[LANDAU_MAX_GRIDS], Nq, Nb, Nf[LANDAU_MAX_GRIDS], ncellsTot = 0, MAP_BF_SIZE = 64 * LANDAU_DIM * LANDAU_DIM * LANDAU_MAX_Q_FACE * LANDAU_MAX_SPECIES;
1344   PetscTabulation *Tf;
1345   PetscDS          prob;
1346 
1347   PetscFunctionBegin;
1348   PetscCall(PetscFEGetDimension(ctx->fe[0], &Nb));
1349   PetscCheck(Nb <= LANDAU_MAX_NQND, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nb = %" PetscInt_FMT " > LANDAU_MAX_NQND (%d)", Nb, LANDAU_MAX_NQND);
1350   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1351     for (PetscInt ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++) {
1352       invMass[ii]  = ctx->m_0 / ctx->masses[ii];
1353       nu_alpha[ii] = PetscSqr(ctx->charges[ii] / ctx->m_0) * ctx->m_0 / ctx->masses[ii];
1354       nu_beta[ii]  = PetscSqr(ctx->charges[ii] / ctx->epsilon0) / (8 * PETSC_PI) * ctx->t_0 * ctx->n_0 / PetscPowReal(ctx->v_0, 3);
1355     }
1356   }
1357   if (ctx->verbose == 4) {
1358     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "nu_alpha: "));
1359     for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1360       int iii = ctx->species_offset[grid];
1361       for (PetscInt ii = iii; ii < ctx->species_offset[grid + 1]; ii++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, " %e", (double)nu_alpha[ii]));
1362     }
1363     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\nnu_beta: "));
1364     for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1365       int iii = ctx->species_offset[grid];
1366       for (PetscInt ii = iii; ii < ctx->species_offset[grid + 1]; ii++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, " %e", (double)nu_beta[ii]));
1367     }
1368     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\nnu_alpha[i]*nu_beta[j]*lambda[i][j]:\n"));
1369     for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1370       int iii = ctx->species_offset[grid];
1371       for (PetscInt ii = iii; ii < ctx->species_offset[grid + 1]; ii++) {
1372         for (PetscInt gridj = 0; gridj < ctx->num_grids; gridj++) {
1373           int jjj = ctx->species_offset[gridj];
1374           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])));
1375         }
1376         PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n"));
1377       }
1378     }
1379     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "lambda[i][j]:\n"));
1380     for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1381       int iii = ctx->species_offset[grid];
1382       for (PetscInt ii = iii; ii < ctx->species_offset[grid + 1]; ii++) {
1383         for (PetscInt gridj = 0; gridj < ctx->num_grids; gridj++) {
1384           int jjj = ctx->species_offset[gridj];
1385           for (PetscInt jj = jjj; jj < ctx->species_offset[gridj + 1]; jj++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, " %14.9e", (double)ctx->lambdas[grid][gridj]));
1386         }
1387         PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n"));
1388       }
1389     }
1390   }
1391   PetscCall(DMGetDS(ctx->plex[0], &prob));    // same DS for all grids
1392   PetscCall(PetscDSGetTabulation(prob, &Tf)); // Bf, &Df same for all grids
1393   /* DS, Tab and quad is same on all grids */
1394   PetscCheck(ctx->plex[0], ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created");
1395   PetscCall(PetscFEGetQuadrature(ctx->fe[0], &quad));
1396   PetscCall(PetscQuadratureGetData(quad, NULL, NULL, &Nq, NULL, &quadWeights));
1397   PetscCheck(Nq <= LANDAU_MAX_NQND, ctx->comm, PETSC_ERR_ARG_WRONG, "Order too high. Nq = %" PetscInt_FMT " > LANDAU_MAX_NQND (%d)", Nq, LANDAU_MAX_NQND);
1398   /* setup each grid */
1399   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1400     PetscInt cStart, cEnd;
1401     PetscCheck(ctx->plex[grid] != NULL, ctx->comm, PETSC_ERR_ARG_WRONG, "Plex not created");
1402     PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd));
1403     numCells[grid] = cEnd - cStart; // grids can have different topology
1404     PetscCall(DMGetLocalSection(ctx->plex[grid], &section[grid]));
1405     PetscCall(DMGetGlobalSection(ctx->plex[grid], &globsection[grid]));
1406     PetscCall(PetscSectionGetNumFields(section[grid], &Nf[grid]));
1407     ncellsTot += numCells[grid];
1408   }
1409   /* create GPU assembly data */
1410   if (ctx->gpu_assembly) { /* we need GPU object with GPU assembly */
1411     PetscContainer container;
1412     PetscScalar   *elemMatrix, *elMat;
1413     pointInterpolationP4est(*pointMaps)[LANDAU_MAX_Q_FACE];
1414     P4estVertexMaps *maps;
1415     const PetscInt  *plex_batch = NULL, elMatSz = Nb * Nb * ctx->num_species * ctx->num_species;
1416     LandauIdx       *coo_elem_offsets = NULL, *coo_elem_fullNb = NULL, (*coo_elem_point_offsets)[LANDAU_MAX_NQND + 1] = NULL;
1417     /* create GPU assembly data */
1418     PetscCall(PetscInfo(ctx->plex[0], "Make GPU maps %d\n", 1));
1419     PetscCall(PetscLogEventBegin(ctx->events[2], 0, 0, 0, 0));
1420     PetscCall(PetscMalloc(sizeof(*maps) * ctx->num_grids, &maps));
1421     PetscCall(PetscMalloc(sizeof(*pointMaps) * MAP_BF_SIZE, &pointMaps));
1422     PetscCall(PetscMalloc(sizeof(*elemMatrix) * elMatSz, &elemMatrix));
1423 
1424     {                                                                                                                             // setup COO assembly -- put COO metadata directly in ctx->SData_d
1425       PetscCall(PetscMalloc3(ncellsTot + 1, &coo_elem_offsets, ncellsTot, &coo_elem_fullNb, ncellsTot, &coo_elem_point_offsets)); // array of integer pointers
1426       coo_elem_offsets[0] = 0;                                                                                                    // finish later
1427       PetscCall(PetscInfo(ctx->plex[0], "COO initialization, %" PetscInt_FMT " cells\n", ncellsTot));
1428       ctx->SData_d.coo_n_cellsTot         = ncellsTot;
1429       ctx->SData_d.coo_elem_offsets       = (void *)coo_elem_offsets;
1430       ctx->SData_d.coo_elem_fullNb        = (void *)coo_elem_fullNb;
1431       ctx->SData_d.coo_elem_point_offsets = (void *)coo_elem_point_offsets;
1432     }
1433 
1434     ctx->SData_d.coo_max_fullnb = 0;
1435     for (PetscInt grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) {
1436       PetscInt cStart, cEnd, Nfloc = Nf[grid], totDim = Nfloc * Nb;
1437       if (grid_batch_is_inv[grid]) PetscCall(ISGetIndices(grid_batch_is_inv[grid], &plex_batch));
1438       PetscCheck(!plex_batch, ctx->comm, PETSC_ERR_ARG_WRONG, "-dm_landau_jacobian_field_major_order DEPRECATED");
1439       PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd));
1440       // make maps
1441       maps[grid].d_self       = NULL;
1442       maps[grid].num_elements = numCells[grid];
1443       maps[grid].num_face     = (PetscInt)(pow(Nq, 1. / ((double)dim)) + .001);                 // Q
1444       maps[grid].num_face     = (PetscInt)(pow(maps[grid].num_face, (double)(dim - 1)) + .001); // Q^2
1445       maps[grid].num_reduced  = 0;
1446       maps[grid].deviceType   = ctx->deviceType;
1447       maps[grid].numgrids     = ctx->num_grids;
1448       // count reduced and get
1449       PetscCall(PetscMalloc(maps[grid].num_elements * sizeof(*maps[grid].gIdx), &maps[grid].gIdx));
1450       for (int ej = cStart, eidx = 0; ej < cEnd; ++ej, ++eidx, glb_elem_idx++) {
1451         if (coo_elem_offsets) coo_elem_offsets[glb_elem_idx + 1] = coo_elem_offsets[glb_elem_idx]; // start with last one, then add
1452         for (int fieldA = 0; fieldA < Nf[grid]; fieldA++) {
1453           int fullNb = 0;
1454           for (int q = 0; q < Nb; ++q) {
1455             PetscInt     numindices, *indices;
1456             PetscScalar *valuesOrig = elMat = elemMatrix;
1457             PetscCall(PetscArrayzero(elMat, totDim * totDim));
1458             elMat[(fieldA * Nb + q) * totDim + fieldA * Nb + q] = 1;
1459             PetscCall(DMPlexGetClosureIndices(ctx->plex[grid], section[grid], globsection[grid], ej, PETSC_TRUE, &numindices, &indices, NULL, (PetscScalar **)&elMat));
1460             if (ctx->simplex) {
1461               PetscCheck(numindices == Nb, ctx->comm, PETSC_ERR_ARG_WRONG, "numindices != Nb numindices=%d Nb=%d", (int)numindices, (int)Nb);
1462               for (int q = 0; q < numindices; ++q) { maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)indices[q]; }
1463               fullNb++;
1464             } else {
1465               for (PetscInt f = 0; f < numindices; ++f) { // look for a non-zero on the diagonal (is this too complicated for simplices?)
1466                 if (PetscAbs(PetscRealPart(elMat[f * numindices + f])) > PETSC_MACHINE_EPSILON) {
1467                   // found it
1468                   if (PetscAbs(PetscRealPart(elMat[f * numindices + f] - 1.)) < PETSC_MACHINE_EPSILON) { // normal vertex 1.0
1469                     if (plex_batch) {
1470                       maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)plex_batch[indices[f]];
1471                     } else {
1472                       maps[grid].gIdx[eidx][fieldA][q] = (LandauIdx)indices[f];
1473                     }
1474                     fullNb++;
1475                   } else { //found a constraint
1476                     int            jj                = 0;
1477                     PetscReal      sum               = 0;
1478                     const PetscInt ff                = f;
1479                     maps[grid].gIdx[eidx][fieldA][q] = -maps[grid].num_reduced - 1; // store (-)index: id = -(idx+1): idx = -id - 1
1480                     PetscCheck(!ctx->simplex, ctx->comm, PETSC_ERR_ARG_WRONG, "No constraints with simplex");
1481                     do {                                                                                              // constraints are continuous in Plex - exploit that here
1482                       int ii;                                                                                         // get 'scale'
1483                       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
1484                         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
1485                           pointMaps[maps[grid].num_reduced][jj].scale += PetscRealPart(elMat[f * numindices + ff + ii]);
1486                         }
1487                       }
1488                       sum += pointMaps[maps[grid].num_reduced][jj].scale; // diagnostic
1489                       // get 'gid'
1490                       if (pointMaps[maps[grid].num_reduced][jj].scale == 0) pointMaps[maps[grid].num_reduced][jj].gid = -1; // 3D has Q and Q^2 interps
1491                       else {
1492                         if (plex_batch) {
1493                           pointMaps[maps[grid].num_reduced][jj].gid = plex_batch[indices[f]];
1494                         } else {
1495                           pointMaps[maps[grid].num_reduced][jj].gid = indices[f];
1496                         }
1497                         fullNb++;
1498                       }
1499                     } while (++jj < maps[grid].num_face && ++f < numindices); // jj is incremented if we hit the end
1500                     while (jj < maps[grid].num_face) {
1501                       pointMaps[maps[grid].num_reduced][jj].scale = 0;
1502                       pointMaps[maps[grid].num_reduced][jj].gid   = -1;
1503                       jj++;
1504                     }
1505                     if (PetscAbs(sum - 1.0) > 10 * PETSC_MACHINE_EPSILON) { // debug
1506                       int       d, f;
1507                       PetscReal tmp = 0;
1508                       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));
1509                       for (d = 0, tmp = 0; d < numindices; ++d) {
1510                         if (tmp != 0 && PetscAbs(tmp - 1.0) > 10 * PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "%3d) %3" PetscInt_FMT ": ", d, indices[d]));
1511                         for (f = 0; f < numindices; ++f) tmp += PetscRealPart(elMat[d * numindices + f]);
1512                         if (tmp != 0) PetscCall(PetscPrintf(ctx->comm, " | %22.16e\n", (double)tmp));
1513                       }
1514                     }
1515                     maps[grid].num_reduced++;
1516                     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);
1517                   }
1518                   break;
1519                 }
1520               }
1521             } // !simplex
1522             // cleanup
1523             PetscCall(DMPlexRestoreClosureIndices(ctx->plex[grid], section[grid], globsection[grid], ej, PETSC_TRUE, &numindices, &indices, NULL, (PetscScalar **)&elMat));
1524             if (elMat != valuesOrig) PetscCall(DMRestoreWorkArray(ctx->plex[grid], numindices * numindices, MPIU_SCALAR, &elMat));
1525           }
1526           {                                                        // setup COO assembly
1527             coo_elem_offsets[glb_elem_idx + 1] += fullNb * fullNb; // one species block, adds a block for each species, on this element in this grid
1528             if (fieldA == 0) {                                     // cache full Nb for this element, on this grid per species
1529               coo_elem_fullNb[glb_elem_idx] = fullNb;
1530               if (fullNb > ctx->SData_d.coo_max_fullnb) ctx->SData_d.coo_max_fullnb = fullNb;
1531             } 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);
1532           }
1533         } // field
1534       }   // cell
1535       // allocate and copy point data maps[grid].gIdx[eidx][field][q]
1536       PetscCall(PetscMalloc(maps[grid].num_reduced * sizeof(*maps[grid].c_maps), &maps[grid].c_maps));
1537       for (int ej = 0; ej < maps[grid].num_reduced; ++ej) {
1538         for (int q = 0; q < maps[grid].num_face; ++q) {
1539           maps[grid].c_maps[ej][q].scale = pointMaps[ej][q].scale;
1540           maps[grid].c_maps[ej][q].gid   = pointMaps[ej][q].gid;
1541         }
1542       }
1543 #if defined(PETSC_HAVE_KOKKOS)
1544       if (ctx->deviceType == LANDAU_KOKKOS) {
1545         PetscCall(LandauKokkosCreateMatMaps(maps, pointMaps, Nf, grid)); // implies Kokkos does
1546       }
1547 #endif
1548       if (plex_batch) {
1549         PetscCall(ISRestoreIndices(grid_batch_is_inv[grid], &plex_batch));
1550         PetscCall(ISDestroy(&grid_batch_is_inv[grid])); // we are done with this
1551       }
1552     } /* grids */
1553     // finish COO
1554     { // setup COO assembly
1555       PetscInt *oor, *ooc;
1556       ctx->SData_d.coo_size = coo_elem_offsets[ncellsTot] * ctx->batch_sz;
1557       PetscCall(PetscMalloc2(ctx->SData_d.coo_size, &oor, ctx->SData_d.coo_size, &ooc));
1558       for (int i = 0; i < ctx->SData_d.coo_size; i++) oor[i] = ooc[i] = -1;
1559       // get
1560       for (int grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) {
1561         for (int ej = 0; ej < numCells[grid]; ++ej, glb_elem_idx++) {
1562           const int              fullNb           = coo_elem_fullNb[glb_elem_idx];
1563           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
1564           coo_elem_point_offsets[glb_elem_idx][0] = 0;
1565           for (int f = 0, cnt2 = 0; f < Nb; f++) {
1566             int idx                                     = Idxs[f];
1567             coo_elem_point_offsets[glb_elem_idx][f + 1] = coo_elem_point_offsets[glb_elem_idx][f]; // start at last
1568             if (idx >= 0) {
1569               cnt2++;
1570               coo_elem_point_offsets[glb_elem_idx][f + 1]++; // inc
1571             } else {
1572               idx = -idx - 1;
1573               for (int q = 0; q < maps[grid].num_face; q++) {
1574                 if (maps[grid].c_maps[idx][q].gid < 0) break;
1575                 cnt2++;
1576                 coo_elem_point_offsets[glb_elem_idx][f + 1]++; // inc
1577               }
1578             }
1579             PetscCheck(cnt2 <= fullNb, PETSC_COMM_SELF, PETSC_ERR_PLIB, "wrong count %d < %d", fullNb, cnt2);
1580           }
1581           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);
1582         }
1583       }
1584       // set
1585       for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) {
1586         for (int grid = 0, glb_elem_idx = 0; grid < ctx->num_grids; grid++) {
1587           const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset);
1588           for (int ej = 0; ej < numCells[grid]; ++ej, glb_elem_idx++) {
1589             const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb;
1590             // set (i,j)
1591             for (int fieldA = 0; fieldA < Nf[grid]; fieldA++) {
1592               const LandauIdx *const Idxs = &maps[grid].gIdx[ej][fieldA][0];
1593               int                    rows[LANDAU_MAX_Q_FACE], cols[LANDAU_MAX_Q_FACE];
1594               for (int f = 0; f < Nb; ++f) {
1595                 const int nr = coo_elem_point_offsets[glb_elem_idx][f + 1] - coo_elem_point_offsets[glb_elem_idx][f];
1596                 if (nr == 1) rows[0] = Idxs[f];
1597                 else {
1598                   const int idx = -Idxs[f] - 1;
1599                   for (int q = 0; q < nr; q++) rows[q] = maps[grid].c_maps[idx][q].gid;
1600                 }
1601                 for (int g = 0; g < Nb; ++g) {
1602                   const int nc = coo_elem_point_offsets[glb_elem_idx][g + 1] - coo_elem_point_offsets[glb_elem_idx][g];
1603                   if (nc == 1) cols[0] = Idxs[g];
1604                   else {
1605                     const int idx = -Idxs[g] - 1;
1606                     for (int q = 0; q < nc; q++) cols[q] = maps[grid].c_maps[idx][q].gid;
1607                   }
1608                   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];
1609                   for (int q = 0, idx = idx0; q < nr; q++) {
1610                     for (int d = 0; d < nc; d++, idx++) {
1611                       oor[idx] = rows[q] + moffset;
1612                       ooc[idx] = cols[d] + moffset;
1613                     }
1614                   }
1615                 }
1616               }
1617             }
1618           } // cell
1619         }   // grid
1620       }     // batch
1621       PetscCall(MatSetPreallocationCOO(ctx->J, ctx->SData_d.coo_size, oor, ooc));
1622       PetscCall(PetscFree2(oor, ooc));
1623     }
1624     PetscCall(PetscFree(pointMaps));
1625     PetscCall(PetscFree(elemMatrix));
1626     PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container));
1627     PetscCall(PetscContainerSetPointer(container, (void *)maps));
1628     PetscCall(PetscContainerSetUserDestroy(container, LandauGPUMapsDestroy));
1629     PetscCall(PetscObjectCompose((PetscObject)ctx->J, "assembly_maps", (PetscObject)container));
1630     PetscCall(PetscContainerDestroy(&container));
1631     PetscCall(PetscLogEventEnd(ctx->events[2], 0, 0, 0, 0));
1632   } // end GPU assembly
1633   { /* create static point data, Jacobian called first, only one vertex copy */
1634     PetscReal *invJe, *ww, *xx, *yy, *zz = NULL, *invJ_a;
1635     PetscInt   outer_ipidx, outer_ej, grid, nip_glb = 0;
1636     PetscFE    fe;
1637     PetscCall(PetscLogEventBegin(ctx->events[7], 0, 0, 0, 0));
1638     PetscCall(PetscInfo(ctx->plex[0], "Initialize static data\n"));
1639     for (PetscInt grid = 0; grid < ctx->num_grids; grid++) nip_glb += Nq * numCells[grid];
1640     /* collect f data, first time is for Jacobian, but make mass now */
1641     if (ctx->verbose != 0) {
1642       PetscInt ncells = 0, N;
1643       PetscCall(MatGetSize(ctx->J, &N, NULL));
1644       for (PetscInt grid = 0; grid < ctx->num_grids; grid++) ncells += numCells[grid];
1645       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,
1646                             ctx->num_species, Nb, dim, N));
1647     }
1648     PetscCall(PetscMalloc4(nip_glb, &ww, nip_glb, &xx, nip_glb, &yy, nip_glb * dim * dim, &invJ_a));
1649     if (dim == 3) PetscCall(PetscMalloc1(nip_glb, &zz));
1650     if (ctx->use_energy_tensor_trick) {
1651       PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, ctx->simplex, NULL, PETSC_DECIDE, &fe));
1652       PetscCall(PetscObjectSetName((PetscObject)fe, "energy"));
1653     }
1654     /* init each grids static data - no batch */
1655     for (grid = 0, outer_ipidx = 0, outer_ej = 0; grid < ctx->num_grids; grid++) { // OpenMP (once)
1656       Vec          v2_2 = NULL;                                                    // projected function: v^2/2 for non-relativistic, gamma... for relativistic
1657       PetscSection e_section;
1658       DM           dmEnergy;
1659       PetscInt     cStart, cEnd, ej;
1660 
1661       PetscCall(DMPlexGetHeightStratum(ctx->plex[grid], 0, &cStart, &cEnd));
1662       // prep energy trick, get v^2 / 2 vector
1663       if (ctx->use_energy_tensor_trick) {
1664         PetscErrorCode (*energyf[1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *) = {ctx->use_relativistic_corrections ? gamma_m1_f : energy_f};
1665         Vec        glob_v2;
1666         PetscReal *c2_0[1], data[1] = {PetscSqr(C_0(ctx->v_0))};
1667 
1668         PetscCall(DMClone(ctx->plex[grid], &dmEnergy));
1669         PetscCall(PetscObjectSetName((PetscObject)dmEnergy, "energy"));
1670         PetscCall(DMSetField(dmEnergy, 0, NULL, (PetscObject)fe));
1671         PetscCall(DMCreateDS(dmEnergy));
1672         PetscCall(DMGetSection(dmEnergy, &e_section));
1673         PetscCall(DMGetGlobalVector(dmEnergy, &glob_v2));
1674         PetscCall(PetscObjectSetName((PetscObject)glob_v2, "trick"));
1675         c2_0[0] = &data[0];
1676         PetscCall(DMProjectFunction(dmEnergy, 0., energyf, (void **)c2_0, INSERT_ALL_VALUES, glob_v2));
1677         PetscCall(DMGetLocalVector(dmEnergy, &v2_2));
1678         PetscCall(VecZeroEntries(v2_2)); /* zero BCs so don't set */
1679         PetscCall(DMGlobalToLocalBegin(dmEnergy, glob_v2, INSERT_VALUES, v2_2));
1680         PetscCall(DMGlobalToLocalEnd(dmEnergy, glob_v2, INSERT_VALUES, v2_2));
1681         PetscCall(DMViewFromOptions(dmEnergy, NULL, "-energy_dm_view"));
1682         PetscCall(VecViewFromOptions(glob_v2, NULL, "-energy_vec_view"));
1683         PetscCall(DMRestoreGlobalVector(dmEnergy, &glob_v2));
1684       }
1685       /* append part of the IP data for each grid */
1686       for (ej = 0; ej < numCells[grid]; ++ej, ++outer_ej) {
1687         PetscScalar *coefs = NULL;
1688         PetscReal    vj[LANDAU_MAX_NQND * LANDAU_DIM], detJj[LANDAU_MAX_NQND], Jdummy[LANDAU_MAX_NQND * LANDAU_DIM * LANDAU_DIM], c0 = C_0(ctx->v_0), c02 = PetscSqr(c0);
1689         invJe = invJ_a + outer_ej * Nq * dim * dim;
1690         PetscCall(DMPlexComputeCellGeometryFEM(ctx->plex[grid], ej + cStart, quad, vj, Jdummy, invJe, detJj));
1691         if (ctx->use_energy_tensor_trick) PetscCall(DMPlexVecGetClosure(dmEnergy, e_section, v2_2, ej + cStart, NULL, &coefs));
1692         /* create static point data */
1693         for (PetscInt qj = 0; qj < Nq; qj++, outer_ipidx++) {
1694           const PetscInt   gidx = outer_ipidx;
1695           const PetscReal *invJ = &invJe[qj * dim * dim];
1696           ww[gidx]              = detJj[qj] * quadWeights[qj];
1697           if (dim == 2) ww[gidx] *= vj[qj * dim + 0]; /* cylindrical coordinate, w/o 2pi */
1698           // get xx, yy, zz
1699           if (ctx->use_energy_tensor_trick) {
1700             double                 refSpaceDer[3], eGradPhi[3];
1701             const PetscReal *const DD = Tf[0]->T[1];
1702             const PetscReal       *Dq = &DD[qj * Nb * dim];
1703             for (int d = 0; d < 3; ++d) refSpaceDer[d] = eGradPhi[d] = 0.0;
1704             for (int b = 0; b < Nb; ++b) {
1705               for (int d = 0; d < dim; ++d) refSpaceDer[d] += Dq[b * dim + d] * PetscRealPart(coefs[b]);
1706             }
1707             xx[gidx] = 1e10;
1708             if (ctx->use_relativistic_corrections) {
1709               double dg2_c2 = 0;
1710               //for (int d = 0; d < dim; ++d) refSpaceDer[d] *= c02;
1711               for (int d = 0; d < dim; ++d) dg2_c2 += PetscSqr(refSpaceDer[d]);
1712               dg2_c2 *= (double)c02;
1713               if (dg2_c2 >= .999) {
1714                 xx[gidx] = vj[qj * dim + 0]; /* coordinate */
1715                 yy[gidx] = vj[qj * dim + 1];
1716                 if (dim == 3) zz[gidx] = vj[qj * dim + 2];
1717                 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]));
1718               } else {
1719                 PetscReal fact = c02 / PetscSqrtReal(1. - dg2_c2);
1720                 for (int d = 0; d < dim; ++d) refSpaceDer[d] *= fact;
1721                 // could test with other point u' that (grad - grad') * U (refSpaceDer, refSpaceDer') == 0
1722               }
1723             }
1724             if (xx[gidx] == 1e10) {
1725               for (int d = 0; d < dim; ++d) {
1726                 for (int e = 0; e < dim; ++e) eGradPhi[d] += invJ[e * dim + d] * refSpaceDer[e];
1727               }
1728               xx[gidx] = eGradPhi[0];
1729               yy[gidx] = eGradPhi[1];
1730               if (dim == 3) zz[gidx] = eGradPhi[2];
1731             }
1732           } else {
1733             xx[gidx] = vj[qj * dim + 0]; /* coordinate */
1734             yy[gidx] = vj[qj * dim + 1];
1735             if (dim == 3) zz[gidx] = vj[qj * dim + 2];
1736           }
1737         } /* q */
1738         if (ctx->use_energy_tensor_trick) PetscCall(DMPlexVecRestoreClosure(dmEnergy, e_section, v2_2, ej + cStart, NULL, &coefs));
1739       } /* ej */
1740       if (ctx->use_energy_tensor_trick) {
1741         PetscCall(DMRestoreLocalVector(dmEnergy, &v2_2));
1742         PetscCall(DMDestroy(&dmEnergy));
1743       }
1744     } /* grid */
1745     if (ctx->use_energy_tensor_trick) PetscCall(PetscFEDestroy(&fe));
1746     /* cache static data */
1747     if (ctx->deviceType == LANDAU_KOKKOS) {
1748 #if defined(PETSC_HAVE_KOKKOS)
1749       PetscCall(LandauKokkosStaticDataSet(ctx->plex[0], Nq, Nb, 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));
1750 #else
1751       SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type kokkos not built");
1752 #endif
1753       /* free */
1754       PetscCall(PetscFree4(ww, xx, yy, invJ_a));
1755       if (dim == 3) PetscCall(PetscFree(zz));
1756     } else {                                                                                                                                                                   /* CPU version, just copy in, only use part */
1757       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 ?
1758       ctx->SData_d.w    = (void *)ww;
1759       ctx->SData_d.x    = (void *)xx;
1760       ctx->SData_d.y    = (void *)yy;
1761       ctx->SData_d.z    = (void *)zz;
1762       ctx->SData_d.invJ = (void *)invJ_a;
1763       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));
1764       for (PetscInt ii = 0; ii < ctx->num_species; ii++) {
1765         nu_alpha_p[ii] = nu_alpha[ii];
1766         nu_beta_p[ii]  = nu_beta[ii];
1767         invMass_p[ii]  = invMass[ii];
1768       }
1769       ctx->SData_d.alpha   = (void *)nu_alpha_p;
1770       ctx->SData_d.beta    = (void *)nu_beta_p;
1771       ctx->SData_d.invMass = (void *)invMass_p;
1772       ctx->SData_d.lambdas = (void *)lambdas_p;
1773       for (PetscInt grid = 0; grid < LANDAU_MAX_GRIDS; grid++) {
1774         PetscReal(*lambdas)[LANDAU_MAX_GRIDS][LANDAU_MAX_GRIDS] = (PetscReal(*)[LANDAU_MAX_GRIDS][LANDAU_MAX_GRIDS])ctx->SData_d.lambdas;
1775         for (PetscInt gridj = 0; gridj < LANDAU_MAX_GRIDS; gridj++) { (*lambdas)[grid][gridj] = ctx->lambdas[grid][gridj]; }
1776       }
1777     }
1778     PetscCall(PetscLogEventEnd(ctx->events[7], 0, 0, 0, 0));
1779   } // initialize
1780   PetscFunctionReturn(PETSC_SUCCESS);
1781 }
1782 
1783 /* < v, u > */
1784 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[])
1785 {
1786   g0[0] = 1.;
1787 }
1788 
1789 /* < v, u > */
1790 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[])
1791 {
1792   static double ttt = 1e-12;
1793   g0[0]             = ttt++;
1794 }
1795 
1796 /* < v, u > */
1797 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[])
1798 {
1799   g0[0] = 2. * PETSC_PI * x[0];
1800 }
1801 
1802 static PetscErrorCode MatrixNfDestroy(void *ptr)
1803 {
1804   PetscInt *nf = (PetscInt *)ptr;
1805   PetscFunctionBegin;
1806   PetscCall(PetscFree(nf));
1807   PetscFunctionReturn(PETSC_SUCCESS);
1808 }
1809 
1810 /*
1811  LandauCreateJacobianMatrix - creates ctx->J with without real data. Hard to keep sparse.
1812   - Like DMPlexLandauCreateMassMatrix. Should remove one and combine
1813   - has old support for field major ordering
1814  */
1815 static PetscErrorCode LandauCreateJacobianMatrix(MPI_Comm comm, Vec X, IS grid_batch_is_inv[LANDAU_MAX_GRIDS], LandauCtx *ctx)
1816 {
1817   PetscInt *idxs = NULL;
1818   Mat       subM[LANDAU_MAX_GRIDS];
1819 
1820   PetscFunctionBegin;
1821   if (!ctx->gpu_assembly) { /* we need GPU object with GPU assembly */
1822     PetscFunctionReturn(PETSC_SUCCESS);
1823   }
1824   // get the RCM for this grid to separate out species into blocks -- create 'idxs' & 'ctx->batch_is' -- not used
1825   if (ctx->gpu_assembly && ctx->jacobian_field_major_order) PetscCall(PetscMalloc1(ctx->mat_offset[ctx->num_grids] * ctx->batch_sz, &idxs));
1826   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1827     const PetscInt *values, n = ctx->mat_offset[grid + 1] - ctx->mat_offset[grid];
1828     Mat             gMat;
1829     DM              massDM;
1830     PetscDS         prob;
1831     Vec             tvec;
1832     // get "mass" matrix for reordering
1833     PetscCall(DMClone(ctx->plex[grid], &massDM));
1834     PetscCall(DMCopyFields(ctx->plex[grid], massDM));
1835     PetscCall(DMCreateDS(massDM));
1836     PetscCall(DMGetDS(massDM, &prob));
1837     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));
1838     PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only")); // this trick is need to both sparsify the matrix and avoid runtime error
1839     PetscCall(DMCreateMatrix(massDM, &gMat));
1840     PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false"));
1841     PetscCall(MatSetOption(gMat, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE));
1842     PetscCall(MatSetOption(gMat, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE));
1843     PetscCall(DMCreateLocalVector(ctx->plex[grid], &tvec));
1844     PetscCall(DMPlexSNESComputeJacobianFEM(massDM, tvec, gMat, gMat, ctx));
1845     PetscCall(MatViewFromOptions(gMat, NULL, "-dm_landau_reorder_mat_view"));
1846     PetscCall(DMDestroy(&massDM));
1847     PetscCall(VecDestroy(&tvec));
1848     subM[grid] = gMat;
1849     if (ctx->gpu_assembly && ctx->jacobian_field_major_order) {
1850       MatOrderingType rtype = MATORDERINGRCM;
1851       IS              isrow, isicol;
1852       PetscCall(MatGetOrdering(gMat, rtype, &isrow, &isicol));
1853       PetscCall(ISInvertPermutation(isrow, PETSC_DECIDE, &grid_batch_is_inv[grid]));
1854       PetscCall(ISGetIndices(isrow, &values));
1855       for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid
1856 #if !defined(LANDAU_SPECIES_MAJOR)
1857         PetscInt N = ctx->mat_offset[ctx->num_grids], n0 = ctx->mat_offset[grid] + b_id * N;
1858         for (int ii = 0; ii < n; ++ii) idxs[n0 + ii] = values[ii] + n0;
1859 #else
1860         PetscInt n0 = ctx->mat_offset[grid] * ctx->batch_sz + b_id * n;
1861         for (int ii = 0; ii < n; ++ii) idxs[n0 + ii] = values[ii] + n0;
1862 #endif
1863       }
1864       PetscCall(ISRestoreIndices(isrow, &values));
1865       PetscCall(ISDestroy(&isrow));
1866       PetscCall(ISDestroy(&isicol));
1867     }
1868   }
1869   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));
1870   // get a block matrix
1871   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1872     Mat      B = subM[grid];
1873     PetscInt nloc, nzl, *colbuf, row, COL_BF_SIZE = 1024;
1874     PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf));
1875     PetscCall(MatGetSize(B, &nloc, NULL));
1876     for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) {
1877       const PetscInt     moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset);
1878       const PetscInt    *cols;
1879       const PetscScalar *vals;
1880       for (int i = 0; i < nloc; i++) {
1881         PetscCall(MatGetRow(B, i, &nzl, NULL, NULL));
1882         if (nzl > COL_BF_SIZE) {
1883           PetscCall(PetscFree(colbuf));
1884           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));
1885           COL_BF_SIZE = nzl;
1886           PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf));
1887         }
1888         PetscCall(MatGetRow(B, i, &nzl, &cols, &vals));
1889         for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset;
1890         row = i + moffset;
1891         PetscCall(MatSetValues(ctx->J, 1, &row, nzl, colbuf, vals, INSERT_VALUES));
1892         PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals));
1893       }
1894     }
1895     PetscCall(PetscFree(colbuf));
1896   }
1897   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(MatDestroy(&subM[grid]));
1898   PetscCall(MatAssemblyBegin(ctx->J, MAT_FINAL_ASSEMBLY));
1899   PetscCall(MatAssemblyEnd(ctx->J, MAT_FINAL_ASSEMBLY));
1900 
1901   // debug
1902   PetscCall(MatViewFromOptions(ctx->J, NULL, "-dm_landau_mat_view"));
1903   if (ctx->gpu_assembly && ctx->jacobian_field_major_order) {
1904     Mat mat_block_order;
1905     PetscCall(MatCreateSubMatrix(ctx->J, ctx->batch_is, ctx->batch_is, MAT_INITIAL_MATRIX, &mat_block_order)); // use MatPermute
1906     PetscCall(MatViewFromOptions(mat_block_order, NULL, "-dm_landau_mat_view"));
1907     PetscCall(MatDestroy(&mat_block_order));
1908     PetscCall(VecScatterCreate(X, ctx->batch_is, X, NULL, &ctx->plex_batch));
1909     PetscCall(VecDuplicate(X, &ctx->work_vec));
1910   }
1911 
1912   PetscFunctionReturn(PETSC_SUCCESS);
1913 }
1914 
1915 PetscErrorCode DMPlexLandauCreateMassMatrix(DM pack, Mat *Amat);
1916 /*@C
1917   DMPlexLandauCreateVelocitySpace - Create a `DMPLEX` velocity space mesh
1918 
1919   Collective
1920 
1921   Input Parameters:
1922 + comm   - The MPI communicator
1923 . dim    - velocity space dimension (2 for axisymmetric, 3 for full 3X + 3V solver)
1924 - prefix - prefix for options (not tested)
1925 
1926   Output Parameters:
1927 + pack - The `DM` object representing the mesh
1928 . X    - A vector (user destroys)
1929 - J    - Optional matrix (object destroys)
1930 
1931   Level: beginner
1932 
1933 .seealso: `DMPlexCreate()`, `DMPlexLandauDestroyVelocitySpace()`
1934  @*/
1935 PetscErrorCode DMPlexLandauCreateVelocitySpace(MPI_Comm comm, PetscInt dim, const char prefix[], Vec *X, Mat *J, DM *pack)
1936 {
1937   LandauCtx *ctx;
1938   Vec        Xsub[LANDAU_MAX_GRIDS];
1939   IS         grid_batch_is_inv[LANDAU_MAX_GRIDS];
1940 
1941   PetscFunctionBegin;
1942   PetscCheck(dim == 2 || dim == 3, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Only 2D and 3D supported");
1943   PetscCheck(LANDAU_DIM == dim, PETSC_COMM_SELF, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " != LANDAU_DIM %d", dim, LANDAU_DIM);
1944   PetscCall(PetscNew(&ctx));
1945   ctx->comm = comm; /* used for diagnostics and global errors */
1946   /* process options */
1947   PetscCall(ProcessOptions(ctx, prefix));
1948   if (dim == 2) ctx->use_relativistic_corrections = PETSC_FALSE;
1949   /* Create Mesh */
1950   PetscCall(DMCompositeCreate(PETSC_COMM_SELF, pack));
1951   PetscCall(PetscLogEventBegin(ctx->events[13], 0, 0, 0, 0));
1952   PetscCall(PetscLogEventBegin(ctx->events[15], 0, 0, 0, 0));
1953   PetscCall(LandauDMCreateVMeshes(PETSC_COMM_SELF, dim, prefix, ctx, *pack)); // creates grids (Forest of AMR)
1954   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1955     /* create FEM */
1956     PetscCall(SetupDS(ctx->plex[grid], dim, grid, ctx));
1957     /* set initial state */
1958     PetscCall(DMCreateGlobalVector(ctx->plex[grid], &Xsub[grid]));
1959     PetscCall(PetscObjectSetName((PetscObject)Xsub[grid], "u_orig"));
1960     /* initial static refinement, no solve */
1961     PetscCall(LandauSetInitialCondition(ctx->plex[grid], Xsub[grid], grid, 0, 1, ctx));
1962     /* forest refinement - forest goes in (if forest), plex comes out */
1963     if (ctx->use_p4est) {
1964       DM plex;
1965       PetscCall(adapt(grid, ctx, &Xsub[grid]));                                      // forest goes in, plex comes out
1966       PetscCall(DMViewFromOptions(ctx->plex[grid], NULL, "-dm_landau_amr_dm_view")); // need to differentiate - todo
1967       PetscCall(VecViewFromOptions(Xsub[grid], NULL, "-dm_landau_amr_vec_view"));
1968       // convert to plex, all done with this level
1969       PetscCall(DMConvert(ctx->plex[grid], DMPLEX, &plex));
1970       PetscCall(DMDestroy(&ctx->plex[grid]));
1971       ctx->plex[grid] = plex;
1972     }
1973 #if !defined(LANDAU_SPECIES_MAJOR)
1974     PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid]));
1975 #else
1976     for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid
1977       PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid]));
1978     }
1979 #endif
1980     PetscCall(DMSetApplicationContext(ctx->plex[grid], ctx));
1981   }
1982 #if !defined(LANDAU_SPECIES_MAJOR)
1983   // stack the batched DMs, could do it all here!!! b_id=0
1984   for (PetscInt b_id = 1; b_id < ctx->batch_sz; b_id++) {
1985     for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMCompositeAddDM(*pack, ctx->plex[grid]));
1986   }
1987 #endif
1988   // create ctx->mat_offset
1989   ctx->mat_offset[0] = 0;
1990   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
1991     PetscInt n;
1992     PetscCall(VecGetLocalSize(Xsub[grid], &n));
1993     ctx->mat_offset[grid + 1] = ctx->mat_offset[grid] + n;
1994   }
1995   // creat DM & Jac
1996   PetscCall(DMSetApplicationContext(*pack, ctx));
1997   PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only"));
1998   PetscCall(DMCreateMatrix(*pack, &ctx->J));
1999   PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false"));
2000   PetscCall(MatSetOption(ctx->J, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE));
2001   PetscCall(MatSetOption(ctx->J, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE));
2002   PetscCall(PetscObjectSetName((PetscObject)ctx->J, "Jac"));
2003   // construct initial conditions in X
2004   PetscCall(DMCreateGlobalVector(*pack, X));
2005   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
2006     PetscInt n;
2007     PetscCall(VecGetLocalSize(Xsub[grid], &n));
2008     for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) {
2009       PetscScalar const *values;
2010       const PetscInt     moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset);
2011       PetscCall(LandauSetInitialCondition(ctx->plex[grid], Xsub[grid], grid, b_id, ctx->batch_sz, ctx));
2012       PetscCall(VecGetArrayRead(Xsub[grid], &values)); // Drop whole grid in Plex ordering
2013       for (int i = 0, idx = moffset; i < n; i++, idx++) PetscCall(VecSetValue(*X, idx, values[i], INSERT_VALUES));
2014       PetscCall(VecRestoreArrayRead(Xsub[grid], &values));
2015     }
2016   }
2017   // cleanup
2018   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(VecDestroy(&Xsub[grid]));
2019   /* check for correct matrix type */
2020   if (ctx->gpu_assembly) { /* we need GPU object with GPU assembly */
2021     PetscBool flg;
2022     if (ctx->deviceType == LANDAU_KOKKOS) {
2023       PetscCall(PetscObjectTypeCompareAny((PetscObject)ctx->J, &flg, MATSEQAIJKOKKOS, MATMPIAIJKOKKOS, MATAIJKOKKOS, ""));
2024 #if defined(PETSC_HAVE_KOKKOS)
2025       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'");
2026 #else
2027       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'");
2028 #endif
2029     }
2030   }
2031   PetscCall(PetscLogEventEnd(ctx->events[15], 0, 0, 0, 0));
2032 
2033   // create field major ordering
2034   ctx->work_vec   = NULL;
2035   ctx->plex_batch = NULL;
2036   ctx->batch_is   = NULL;
2037   for (int i = 0; i < LANDAU_MAX_GRIDS; i++) grid_batch_is_inv[i] = NULL;
2038   PetscCall(PetscLogEventBegin(ctx->events[12], 0, 0, 0, 0));
2039   PetscCall(LandauCreateJacobianMatrix(comm, *X, grid_batch_is_inv, ctx));
2040   PetscCall(PetscLogEventEnd(ctx->events[12], 0, 0, 0, 0));
2041 
2042   // create AMR GPU assembly maps and static GPU data
2043   PetscCall(CreateStaticData(dim, grid_batch_is_inv, ctx));
2044 
2045   PetscCall(PetscLogEventEnd(ctx->events[13], 0, 0, 0, 0));
2046 
2047   // create mass matrix
2048   PetscCall(DMPlexLandauCreateMassMatrix(*pack, NULL));
2049 
2050   if (J) *J = ctx->J;
2051 
2052   if (ctx->gpu_assembly && ctx->jacobian_field_major_order) {
2053     PetscContainer container;
2054     // cache ctx for KSP with batch/field major Jacobian ordering -ksp_type gmres/etc -dm_landau_jacobian_field_major_order
2055     PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container));
2056     PetscCall(PetscContainerSetPointer(container, (void *)ctx));
2057     PetscCall(PetscObjectCompose((PetscObject)ctx->J, "LandauCtx", (PetscObject)container));
2058     PetscCall(PetscContainerDestroy(&container));
2059     // batch solvers need to map -- can batch solvers work
2060     PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container));
2061     PetscCall(PetscContainerSetPointer(container, (void *)ctx->plex_batch));
2062     PetscCall(PetscObjectCompose((PetscObject)ctx->J, "plex_batch_is", (PetscObject)container));
2063     PetscCall(PetscContainerDestroy(&container));
2064   }
2065   // for batch solvers
2066   {
2067     PetscContainer container;
2068     PetscInt      *pNf;
2069     PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &container));
2070     PetscCall(PetscMalloc1(sizeof(*pNf), &pNf));
2071     *pNf = ctx->batch_sz;
2072     PetscCall(PetscContainerSetPointer(container, (void *)pNf));
2073     PetscCall(PetscContainerSetUserDestroy(container, MatrixNfDestroy));
2074     PetscCall(PetscObjectCompose((PetscObject)ctx->J, "batch size", (PetscObject)container));
2075     PetscCall(PetscContainerDestroy(&container));
2076   }
2077 
2078   PetscFunctionReturn(PETSC_SUCCESS);
2079 }
2080 
2081 /*@C
2082   DMPlexLandauAccess - Access to the distribution function with user callback
2083 
2084   Collective
2085 
2086   Input Parameters:
2087 + pack     - the `DMCOMPOSITE`
2088 . func     - call back function
2089 - user_ctx - user context
2090 
2091   Input/Output Parameter:
2092 . X - Vector to data to
2093 
2094   Level: advanced
2095 
2096 .seealso: `DMPlexLandauCreateVelocitySpace()`
2097  @*/
2098 PetscErrorCode DMPlexLandauAccess(DM pack, Vec X, PetscErrorCode (*func)(DM, Vec, PetscInt, PetscInt, PetscInt, void *), void *user_ctx)
2099 {
2100   LandauCtx *ctx;
2101   PetscFunctionBegin;
2102   PetscCall(DMGetApplicationContext(pack, &ctx)); // uses ctx->num_grids; ctx->plex[grid]; ctx->batch_sz; ctx->mat_offset
2103   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
2104     PetscInt dim, n;
2105     PetscCall(DMGetDimension(pack, &dim));
2106     for (PetscInt sp = ctx->species_offset[grid], i0 = 0; sp < ctx->species_offset[grid + 1]; sp++, i0++) {
2107       Vec      vec;
2108       PetscInt vf[1] = {i0};
2109       IS       vis;
2110       DM       vdm;
2111       PetscCall(DMCreateSubDM(ctx->plex[grid], 1, vf, &vis, &vdm));
2112       PetscCall(DMSetApplicationContext(vdm, ctx)); // the user might want this
2113       PetscCall(DMCreateGlobalVector(vdm, &vec));
2114       PetscCall(VecGetSize(vec, &n));
2115       for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) {
2116         const PetscInt moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset);
2117         PetscCall(VecZeroEntries(vec));
2118         /* Add your data with 'dm' for species 'sp' to 'vec' */
2119         PetscCall(func(vdm, vec, i0, grid, b_id, user_ctx));
2120         /* add to global */
2121         PetscScalar const *values;
2122         const PetscInt    *offsets;
2123         PetscCall(VecGetArrayRead(vec, &values));
2124         PetscCall(ISGetIndices(vis, &offsets));
2125         for (int i = 0; i < n; i++) PetscCall(VecSetValue(X, moffset + offsets[i], values[i], ADD_VALUES));
2126         PetscCall(VecRestoreArrayRead(vec, &values));
2127         PetscCall(ISRestoreIndices(vis, &offsets));
2128       } // batch
2129       PetscCall(VecDestroy(&vec));
2130       PetscCall(ISDestroy(&vis));
2131       PetscCall(DMDestroy(&vdm));
2132     }
2133   } // grid
2134   PetscFunctionReturn(PETSC_SUCCESS);
2135 }
2136 
2137 /*@
2138   DMPlexLandauDestroyVelocitySpace - Destroy a `DMPLEX` velocity space mesh
2139 
2140   Collective
2141 
2142   Input/Output Parameters:
2143 . dm - the `DM` to destroy
2144 
2145   Level: beginner
2146 
2147 .seealso: `DMPlexLandauCreateVelocitySpace()`
2148  @*/
2149 PetscErrorCode DMPlexLandauDestroyVelocitySpace(DM *dm)
2150 {
2151   LandauCtx *ctx;
2152   PetscFunctionBegin;
2153   PetscCall(DMGetApplicationContext(*dm, &ctx));
2154   PetscCall(MatDestroy(&ctx->M));
2155   PetscCall(MatDestroy(&ctx->J));
2156   for (PetscInt ii = 0; ii < ctx->num_species; ii++) PetscCall(PetscFEDestroy(&ctx->fe[ii]));
2157   PetscCall(ISDestroy(&ctx->batch_is));
2158   PetscCall(VecDestroy(&ctx->work_vec));
2159   PetscCall(VecScatterDestroy(&ctx->plex_batch));
2160   if (ctx->deviceType == LANDAU_KOKKOS) {
2161 #if defined(PETSC_HAVE_KOKKOS)
2162     PetscCall(LandauKokkosStaticDataClear(&ctx->SData_d));
2163 #else
2164     SETERRQ(ctx->comm, PETSC_ERR_ARG_WRONG, "-landau_device_type %s not built", "kokkos");
2165 #endif
2166   } else {
2167     if (ctx->SData_d.x) { /* in a CPU run */
2168       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;
2169       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_NQND + 1] = (LandauIdx(*)[LANDAU_MAX_NQND + 1]) ctx->SData_d.coo_elem_point_offsets;
2170       PetscCall(PetscFree4(ww, xx, yy, invJ));
2171       if (zz) PetscCall(PetscFree(zz));
2172       if (coo_elem_offsets) {
2173         PetscCall(PetscFree3(coo_elem_offsets, coo_elem_fullNb, coo_elem_point_offsets)); // could be NULL
2174       }
2175       PetscCall(PetscFree4(ctx->SData_d.alpha, ctx->SData_d.beta, ctx->SData_d.invMass, ctx->SData_d.lambdas));
2176     }
2177   }
2178 
2179   if (ctx->times[LANDAU_MATRIX_TOTAL] > 0) { // OMP timings
2180     PetscCall(PetscPrintf(ctx->comm, "TSStep               N  1.0 %10.3e\n", ctx->times[LANDAU_EX2_TSSOLVE]));
2181     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));
2182     PetscCall(PetscPrintf(ctx->comm, "3:          Landau:  %10.3e\n", ctx->times[LANDAU_MATRIX_TOTAL]));
2183     PetscCall(PetscPrintf(ctx->comm, "Landau Jacobian       %" PetscInt_FMT " 1.0 %10.3e\n", (PetscInt)ctx->times[LANDAU_JACOBIAN_COUNT], ctx->times[LANDAU_JACOBIAN]));
2184     PetscCall(PetscPrintf(ctx->comm, "Landau Operator       N 1.0  %10.3e\n", ctx->times[LANDAU_OPERATOR]));
2185     PetscCall(PetscPrintf(ctx->comm, "Landau Mass           N 1.0  %10.3e\n", ctx->times[LANDAU_MASS]));
2186     PetscCall(PetscPrintf(ctx->comm, " Jac-f-df (GPU)       N 1.0  %10.3e\n", ctx->times[LANDAU_F_DF]));
2187     PetscCall(PetscPrintf(ctx->comm, " Kernel (GPU)         N 1.0  %10.3e\n", ctx->times[LANDAU_KERNEL]));
2188     PetscCall(PetscPrintf(ctx->comm, "MatLUFactorNum        X 1.0 %10.3e\n", ctx->times[KSP_FACTOR]));
2189     PetscCall(PetscPrintf(ctx->comm, "MatSolve              X 1.0 %10.3e\n", ctx->times[KSP_SOLVE]));
2190   }
2191   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMDestroy(&ctx->plex[grid]));
2192   PetscCall(PetscFree(ctx));
2193   PetscCall(DMDestroy(dm));
2194   PetscFunctionReturn(PETSC_SUCCESS);
2195 }
2196 
2197 /* < v, ru > */
2198 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)
2199 {
2200   PetscInt ii = (PetscInt)PetscRealPart(constants[0]);
2201   f0[0]       = u[ii];
2202 }
2203 
2204 /* < v, ru > */
2205 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)
2206 {
2207   PetscInt ii = (PetscInt)PetscRealPart(constants[0]), jj = (PetscInt)PetscRealPart(constants[1]);
2208   f0[0] = x[jj] * u[ii]; /* x momentum */
2209 }
2210 
2211 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)
2212 {
2213   PetscInt i, ii = (PetscInt)PetscRealPart(constants[0]);
2214   double   tmp1 = 0.;
2215   for (i = 0; i < dim; ++i) tmp1 += x[i] * x[i];
2216   f0[0] = tmp1 * u[ii];
2217 }
2218 
2219 static PetscErrorCode gamma_n_f(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, void *actx)
2220 {
2221   const PetscReal *c2_0_arr = ((PetscReal *)actx);
2222   const PetscReal  c02      = c2_0_arr[0];
2223 
2224   PetscFunctionBegin;
2225   for (int s = 0; s < Nf; s++) {
2226     PetscReal tmp1 = 0.;
2227     for (int i = 0; i < dim; ++i) tmp1 += x[i] * x[i];
2228 #if defined(PETSC_USE_DEBUG)
2229     u[s] = PetscSqrtReal(1. + tmp1 / c02); //  u[0] = PetscSqrtReal(1. + xx);
2230 #else
2231     {
2232       PetscReal xx = tmp1 / c02;
2233       u[s]         = xx / (PetscSqrtReal(1. + xx) + 1.); // better conditioned = xx/(PetscSqrtReal(1. + xx) + 1.)
2234     }
2235 #endif
2236   }
2237   PetscFunctionReturn(PETSC_SUCCESS);
2238 }
2239 
2240 /* < v, ru > */
2241 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)
2242 {
2243   PetscInt ii = (PetscInt)PetscRealPart(constants[0]);
2244   f0[0]       = 2. * PETSC_PI * x[0] * u[ii];
2245 }
2246 
2247 /* < v, ru > */
2248 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)
2249 {
2250   PetscInt ii = (PetscInt)PetscRealPart(constants[0]);
2251   f0[0]       = 2. * PETSC_PI * x[0] * x[1] * u[ii];
2252 }
2253 
2254 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)
2255 {
2256   PetscInt ii = (PetscInt)PetscRealPart(constants[0]);
2257   f0[0]       = 2. * PETSC_PI * x[0] * (x[0] * x[0] + x[1] * x[1]) * u[ii];
2258 }
2259 
2260 /*@
2261   DMPlexLandauPrintNorms - collects moments and prints them
2262 
2263   Collective
2264 
2265   Input Parameters:
2266 + X     - the state
2267 - stepi - current step to print
2268 
2269   Level: beginner
2270 
2271 .seealso: `DMPlexLandauCreateVelocitySpace()`
2272  @*/
2273 PetscErrorCode DMPlexLandauPrintNorms(Vec X, PetscInt stepi)
2274 {
2275   LandauCtx  *ctx;
2276   PetscDS     prob;
2277   DM          pack;
2278   PetscInt    cStart, cEnd, dim, ii, i0, nDMs;
2279   PetscScalar xmomentumtot = 0, ymomentumtot = 0, zmomentumtot = 0, energytot = 0, densitytot = 0, tt[LANDAU_MAX_SPECIES];
2280   PetscScalar xmomentum[LANDAU_MAX_SPECIES], ymomentum[LANDAU_MAX_SPECIES], zmomentum[LANDAU_MAX_SPECIES], energy[LANDAU_MAX_SPECIES], density[LANDAU_MAX_SPECIES];
2281   Vec        *globXArray;
2282 
2283   PetscFunctionBegin;
2284   PetscCall(VecGetDM(X, &pack));
2285   PetscCheck(pack, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Vector has no DM");
2286   PetscCall(DMGetDimension(pack, &dim));
2287   PetscCheck(dim == 2 || dim == 3, PETSC_COMM_SELF, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " not in [2,3]", dim);
2288   PetscCall(DMGetApplicationContext(pack, &ctx));
2289   PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context");
2290   /* print momentum and energy */
2291   PetscCall(DMCompositeGetNumberDM(pack, &nDMs));
2292   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);
2293   PetscCall(PetscMalloc(sizeof(*globXArray) * nDMs, &globXArray));
2294   PetscCall(DMCompositeGetAccessArray(pack, X, nDMs, NULL, globXArray));
2295   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
2296     Vec Xloc = globXArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)];
2297     PetscCall(DMGetDS(ctx->plex[grid], &prob));
2298     for (ii = ctx->species_offset[grid], i0 = 0; ii < ctx->species_offset[grid + 1]; ii++, i0++) {
2299       PetscScalar user[2] = {(PetscScalar)i0, (PetscScalar)ctx->charges[ii]};
2300       PetscCall(PetscDSSetConstants(prob, 2, user));
2301       if (dim == 2) { /* 2/3X + 3V (cylindrical coordinates) */
2302         PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rden));
2303         PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx));
2304         density[ii] = tt[0] * ctx->n_0 * ctx->charges[ii];
2305         PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rmom));
2306         PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx));
2307         zmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii];
2308         PetscCall(PetscDSSetObjective(prob, 0, &f0_s_rv2));
2309         PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx));
2310         energy[ii] = tt[0] * 0.5 * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ii];
2311         zmomentumtot += zmomentum[ii];
2312         energytot += energy[ii];
2313         densitytot += density[ii];
2314         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])));
2315       } else { /* 2/3Xloc + 3V */
2316         PetscCall(PetscDSSetObjective(prob, 0, &f0_s_den));
2317         PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx));
2318         density[ii] = tt[0] * ctx->n_0 * ctx->charges[ii];
2319         PetscCall(PetscDSSetObjective(prob, 0, &f0_s_mom));
2320         user[1] = 0;
2321         PetscCall(PetscDSSetConstants(prob, 2, user));
2322         PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx));
2323         xmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii];
2324         user[1]       = 1;
2325         PetscCall(PetscDSSetConstants(prob, 2, user));
2326         PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx));
2327         ymomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii];
2328         user[1]       = 2;
2329         PetscCall(PetscDSSetConstants(prob, 2, user));
2330         PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx));
2331         zmomentum[ii] = tt[0] * ctx->n_0 * ctx->v_0 * ctx->masses[ii];
2332         if (ctx->use_relativistic_corrections) {
2333           /* gamma * M * f */
2334           if (ii == 0 && grid == 0) { // do all at once
2335             Vec Mf, globGamma, *globMfArray, *globGammaArray;
2336             PetscErrorCode (*gammaf[1])(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *) = {gamma_n_f};
2337             PetscReal *c2_0[1], data[1];
2338 
2339             PetscCall(VecDuplicate(X, &globGamma));
2340             PetscCall(VecDuplicate(X, &Mf));
2341             PetscCall(PetscMalloc(sizeof(*globMfArray) * nDMs, &globMfArray));
2342             PetscCall(PetscMalloc(sizeof(*globMfArray) * nDMs, &globGammaArray));
2343             /* M * f */
2344             PetscCall(MatMult(ctx->M, X, Mf));
2345             /* gamma */
2346             PetscCall(DMCompositeGetAccessArray(pack, globGamma, nDMs, NULL, globGammaArray));
2347             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
2348               Vec v1  = globGammaArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)];
2349               data[0] = PetscSqr(C_0(ctx->v_0));
2350               c2_0[0] = &data[0];
2351               PetscCall(DMProjectFunction(ctx->plex[grid], 0., gammaf, (void **)c2_0, INSERT_ALL_VALUES, v1));
2352             }
2353             PetscCall(DMCompositeRestoreAccessArray(pack, globGamma, nDMs, NULL, globGammaArray));
2354             /* gamma * Mf */
2355             PetscCall(DMCompositeGetAccessArray(pack, globGamma, nDMs, NULL, globGammaArray));
2356             PetscCall(DMCompositeGetAccessArray(pack, Mf, nDMs, NULL, globMfArray));
2357             for (PetscInt grid = 0; grid < ctx->num_grids; grid++) { // yes a grid loop in a grid loop to print nice
2358               PetscInt Nf    = ctx->species_offset[grid + 1] - ctx->species_offset[grid], N, bs;
2359               Vec      Mfsub = globMfArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)], Gsub = globGammaArray[LAND_PACK_IDX(ctx->batch_view_idx, grid)], v1, v2;
2360               // get each component
2361               PetscCall(VecGetSize(Mfsub, &N));
2362               PetscCall(VecCreate(ctx->comm, &v1));
2363               PetscCall(VecSetSizes(v1, PETSC_DECIDE, N / Nf));
2364               PetscCall(VecCreate(ctx->comm, &v2));
2365               PetscCall(VecSetSizes(v2, PETSC_DECIDE, N / Nf));
2366               PetscCall(VecSetFromOptions(v1)); // ???
2367               PetscCall(VecSetFromOptions(v2));
2368               // get each component
2369               PetscCall(VecGetBlockSize(Gsub, &bs));
2370               PetscCheck(bs == Nf, PETSC_COMM_SELF, PETSC_ERR_PLIB, "bs %" PetscInt_FMT " != num_species %" PetscInt_FMT " in Gsub", bs, Nf);
2371               PetscCall(VecGetBlockSize(Mfsub, &bs));
2372               PetscCheck(bs == Nf, PETSC_COMM_SELF, PETSC_ERR_PLIB, "bs %" PetscInt_FMT " != num_species %" PetscInt_FMT, bs, Nf);
2373               for (int i = 0, ix = ctx->species_offset[grid]; i < Nf; i++, ix++) {
2374                 PetscScalar val;
2375                 PetscCall(VecStrideGather(Gsub, i, v1, INSERT_VALUES)); // this is not right -- TODO
2376                 PetscCall(VecStrideGather(Mfsub, i, v2, INSERT_VALUES));
2377                 PetscCall(VecDot(v1, v2, &val));
2378                 energy[ix] = PetscRealPart(val) * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ix];
2379               }
2380               PetscCall(VecDestroy(&v1));
2381               PetscCall(VecDestroy(&v2));
2382             } /* grids */
2383             PetscCall(DMCompositeRestoreAccessArray(pack, globGamma, nDMs, NULL, globGammaArray));
2384             PetscCall(DMCompositeRestoreAccessArray(pack, Mf, nDMs, NULL, globMfArray));
2385             PetscCall(PetscFree(globGammaArray));
2386             PetscCall(PetscFree(globMfArray));
2387             PetscCall(VecDestroy(&globGamma));
2388             PetscCall(VecDestroy(&Mf));
2389           }
2390         } else {
2391           PetscCall(PetscDSSetObjective(prob, 0, &f0_s_v2));
2392           PetscCall(DMPlexComputeIntegralFEM(ctx->plex[grid], Xloc, tt, ctx));
2393           energy[ii] = 0.5 * tt[0] * ctx->n_0 * ctx->v_0 * ctx->v_0 * ctx->masses[ii];
2394         }
2395         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])));
2396         xmomentumtot += xmomentum[ii];
2397         ymomentumtot += ymomentum[ii];
2398         zmomentumtot += zmomentum[ii];
2399         energytot += energy[ii];
2400         densitytot += density[ii];
2401       }
2402       if (ctx->num_species > 1) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n"));
2403     }
2404   }
2405   PetscCall(DMCompositeRestoreAccessArray(pack, X, nDMs, NULL, globXArray));
2406   PetscCall(PetscFree(globXArray));
2407   /* totals */
2408   PetscCall(DMPlexGetHeightStratum(ctx->plex[0], 0, &cStart, &cEnd));
2409   if (ctx->num_species > 1) {
2410     if (dim == 2) {
2411       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),
2412                             (double)(ctx->masses[1] / ctx->masses[0]), cEnd - cStart));
2413     } else {
2414       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),
2415                             (double)(ctx->masses[1] / ctx->masses[0]), cEnd - cStart));
2416     }
2417   } else PetscCall(PetscPrintf(PETSC_COMM_WORLD, " -- %" PetscInt_FMT " cells", cEnd - cStart));
2418   PetscCall(PetscPrintf(PETSC_COMM_WORLD, "\n"));
2419   PetscFunctionReturn(PETSC_SUCCESS);
2420 }
2421 
2422 /*@
2423   DMPlexLandauCreateMassMatrix - Create mass matrix for Landau in Plex space (not field major order of Jacobian)
2424   - puts mass matrix into ctx->M
2425 
2426   Collective
2427 
2428   Input Parameter:
2429 . pack - the `DM` object. Puts matrix in Landau context M field
2430 
2431   Output Parameter:
2432 . Amat - The mass matrix (optional), mass matrix is added to the `DM` context
2433 
2434   Level: beginner
2435 
2436 .seealso: `DMPlexLandauCreateVelocitySpace()`
2437  @*/
2438 PetscErrorCode DMPlexLandauCreateMassMatrix(DM pack, Mat *Amat)
2439 {
2440   DM         mass_pack, massDM[LANDAU_MAX_GRIDS];
2441   PetscDS    prob;
2442   PetscInt   ii, dim, N1 = 1, N2;
2443   LandauCtx *ctx;
2444   Mat        packM, subM[LANDAU_MAX_GRIDS];
2445 
2446   PetscFunctionBegin;
2447   PetscValidHeaderSpecific(pack, DM_CLASSID, 1);
2448   if (Amat) PetscAssertPointer(Amat, 2);
2449   PetscCall(DMGetApplicationContext(pack, &ctx));
2450   PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context");
2451   PetscCall(PetscLogEventBegin(ctx->events[14], 0, 0, 0, 0));
2452   PetscCall(DMGetDimension(pack, &dim));
2453   PetscCall(DMCompositeCreate(PetscObjectComm((PetscObject)pack), &mass_pack));
2454   /* create pack mass matrix */
2455   for (PetscInt grid = 0, ix = 0; grid < ctx->num_grids; grid++) {
2456     PetscCall(DMClone(ctx->plex[grid], &massDM[grid]));
2457     PetscCall(DMCopyFields(ctx->plex[grid], massDM[grid]));
2458     PetscCall(DMCreateDS(massDM[grid]));
2459     PetscCall(DMGetDS(massDM[grid], &prob));
2460     for (ix = 0, ii = ctx->species_offset[grid]; ii < ctx->species_offset[grid + 1]; ii++, ix++) {
2461       if (dim == 3) PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_1, NULL, NULL, NULL));
2462       else PetscCall(PetscDSSetJacobian(prob, ix, ix, g0_r, NULL, NULL, NULL));
2463     }
2464 #if !defined(LANDAU_SPECIES_MAJOR)
2465     PetscCall(DMCompositeAddDM(mass_pack, massDM[grid]));
2466 #else
2467     for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) { // add batch size DMs for this species grid
2468       PetscCall(DMCompositeAddDM(mass_pack, massDM[grid]));
2469     }
2470 #endif
2471     PetscCall(DMCreateMatrix(massDM[grid], &subM[grid]));
2472   }
2473 #if !defined(LANDAU_SPECIES_MAJOR)
2474   // stack the batched DMs
2475   for (PetscInt b_id = 1; b_id < ctx->batch_sz; b_id++) {
2476     for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(DMCompositeAddDM(mass_pack, massDM[grid]));
2477   }
2478 #endif
2479   PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only"));
2480   PetscCall(DMCreateMatrix(mass_pack, &packM));
2481   PetscCall(PetscOptionsInsertString(NULL, "-dm_preallocate_only false"));
2482   PetscCall(MatSetOption(packM, MAT_STRUCTURALLY_SYMMETRIC, PETSC_TRUE));
2483   PetscCall(MatSetOption(packM, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE));
2484   PetscCall(DMDestroy(&mass_pack));
2485   /* make mass matrix for each block */
2486   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
2487     Vec locX;
2488     DM  plex = massDM[grid];
2489     PetscCall(DMGetLocalVector(plex, &locX));
2490     /* Mass matrix is independent of the input, so no need to fill locX */
2491     PetscCall(DMPlexSNESComputeJacobianFEM(plex, locX, subM[grid], subM[grid], ctx));
2492     PetscCall(DMRestoreLocalVector(plex, &locX));
2493     PetscCall(DMDestroy(&massDM[grid]));
2494   }
2495   PetscCall(MatGetSize(ctx->J, &N1, NULL));
2496   PetscCall(MatGetSize(packM, &N2, NULL));
2497   PetscCheck(N1 == N2, PetscObjectComm((PetscObject)pack), PETSC_ERR_PLIB, "Incorrect matrix sizes: |Jacobian| = %" PetscInt_FMT ", |Mass|=%" PetscInt_FMT, N1, N2);
2498   /* assemble block diagonals */
2499   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) {
2500     Mat      B = subM[grid];
2501     PetscInt nloc, nzl, *colbuf, COL_BF_SIZE = 1024, row;
2502     PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf));
2503     PetscCall(MatGetSize(B, &nloc, NULL));
2504     for (PetscInt b_id = 0; b_id < ctx->batch_sz; b_id++) {
2505       const PetscInt     moffset = LAND_MOFFSET(b_id, grid, ctx->batch_sz, ctx->num_grids, ctx->mat_offset);
2506       const PetscInt    *cols;
2507       const PetscScalar *vals;
2508       for (int i = 0; i < nloc; i++) {
2509         PetscCall(MatGetRow(B, i, &nzl, NULL, NULL));
2510         if (nzl > COL_BF_SIZE) {
2511           PetscCall(PetscFree(colbuf));
2512           PetscCall(PetscInfo(pack, "Realloc buffer %" PetscInt_FMT " to %" PetscInt_FMT " (row size %" PetscInt_FMT ") \n", COL_BF_SIZE, 2 * COL_BF_SIZE, nzl));
2513           COL_BF_SIZE = nzl;
2514           PetscCall(PetscMalloc(sizeof(*colbuf) * COL_BF_SIZE, &colbuf));
2515         }
2516         PetscCall(MatGetRow(B, i, &nzl, &cols, &vals));
2517         for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset;
2518         row = i + moffset;
2519         PetscCall(MatSetValues(packM, 1, &row, nzl, colbuf, vals, INSERT_VALUES));
2520         PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals));
2521       }
2522     }
2523     PetscCall(PetscFree(colbuf));
2524   }
2525   // cleanup
2526   for (PetscInt grid = 0; grid < ctx->num_grids; grid++) PetscCall(MatDestroy(&subM[grid]));
2527   PetscCall(MatAssemblyBegin(packM, MAT_FINAL_ASSEMBLY));
2528   PetscCall(MatAssemblyEnd(packM, MAT_FINAL_ASSEMBLY));
2529   PetscCall(PetscObjectSetName((PetscObject)packM, "mass"));
2530   PetscCall(MatViewFromOptions(packM, NULL, "-dm_landau_mass_view"));
2531   ctx->M = packM;
2532   if (Amat) *Amat = packM;
2533   PetscCall(PetscLogEventEnd(ctx->events[14], 0, 0, 0, 0));
2534   PetscFunctionReturn(PETSC_SUCCESS);
2535 }
2536 
2537 /*@
2538   DMPlexLandauIFunction - `TS` residual calculation, confusingly this computes the Jacobian w/o mass
2539 
2540   Collective
2541 
2542   Input Parameters:
2543 + ts         - The time stepping context
2544 . time_dummy - current time (not used)
2545 . X          - Current state
2546 . X_t        - Time derivative of current state
2547 - actx       - Landau context
2548 
2549   Output Parameter:
2550 . F - The residual
2551 
2552   Level: beginner
2553 
2554 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauIJacobian()`
2555  @*/
2556 PetscErrorCode DMPlexLandauIFunction(TS ts, PetscReal time_dummy, Vec X, Vec X_t, Vec F, void *actx)
2557 {
2558   LandauCtx *ctx = (LandauCtx *)actx;
2559   PetscInt   dim;
2560   DM         pack;
2561 #if defined(PETSC_HAVE_THREADSAFETY)
2562   double starttime, endtime;
2563 #endif
2564   PetscObjectState state;
2565 
2566   PetscFunctionBegin;
2567   PetscCall(TSGetDM(ts, &pack));
2568   PetscCall(DMGetApplicationContext(pack, &ctx));
2569   PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context");
2570   if (ctx->stage) PetscCall(PetscLogStagePush(ctx->stage));
2571   PetscCall(PetscLogEventBegin(ctx->events[11], 0, 0, 0, 0));
2572   PetscCall(PetscLogEventBegin(ctx->events[0], 0, 0, 0, 0));
2573 #if defined(PETSC_HAVE_THREADSAFETY)
2574   starttime = MPI_Wtime();
2575 #endif
2576   PetscCall(DMGetDimension(pack, &dim));
2577   PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state));
2578   if (state != ctx->norm_state) {
2579     PetscCall(PetscInfo(ts, "Create Landau Jacobian t=%g J.state %" PetscInt64_FMT " --> %" PetscInt64_FMT "\n", (double)time_dummy, ctx->norm_state, state));
2580     PetscCall(MatZeroEntries(ctx->J));
2581     PetscCall(LandauFormJacobian_Internal(X, ctx->J, dim, 0.0, (void *)ctx));
2582     PetscCall(MatViewFromOptions(ctx->J, NULL, "-dm_landau_jacobian_view"));
2583     PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state));
2584     ctx->norm_state = state;
2585   } else {
2586     PetscCall(PetscInfo(ts, "WARNING Skip forming Jacobian, has not changed %" PetscInt64_FMT "\n", state));
2587   }
2588   /* mat vec for op */
2589   PetscCall(MatMult(ctx->J, X, F)); /* C*f */
2590   /* add time term */
2591   if (X_t) PetscCall(MatMultAdd(ctx->M, X_t, F, F));
2592 #if defined(PETSC_HAVE_THREADSAFETY)
2593   if (ctx->stage) {
2594     endtime = MPI_Wtime();
2595     ctx->times[LANDAU_OPERATOR] += (endtime - starttime);
2596     ctx->times[LANDAU_JACOBIAN] += (endtime - starttime);
2597     ctx->times[LANDAU_MATRIX_TOTAL] += (endtime - starttime);
2598     ctx->times[LANDAU_JACOBIAN_COUNT] += 1;
2599   }
2600 #endif
2601   PetscCall(PetscLogEventEnd(ctx->events[0], 0, 0, 0, 0));
2602   PetscCall(PetscLogEventEnd(ctx->events[11], 0, 0, 0, 0));
2603   if (ctx->stage) PetscCall(PetscLogStagePop());
2604   PetscFunctionReturn(PETSC_SUCCESS);
2605 }
2606 
2607 /*@
2608   DMPlexLandauIJacobian - `TS` Jacobian construction, confusingly this adds mass
2609 
2610   Collective
2611 
2612   Input Parameters:
2613 + ts         - The time stepping context
2614 . time_dummy - current time (not used)
2615 . X          - Current state
2616 . U_tdummy   - Time derivative of current state (not used)
2617 . shift      - shift for du/dt term
2618 - actx       - Landau context
2619 
2620   Output Parameters:
2621 + Amat - Jacobian
2622 - Pmat - same as Amat
2623 
2624   Level: beginner
2625 
2626 .seealso: `DMPlexLandauCreateVelocitySpace()`, `DMPlexLandauIFunction()`
2627  @*/
2628 PetscErrorCode DMPlexLandauIJacobian(TS ts, PetscReal time_dummy, Vec X, Vec U_tdummy, PetscReal shift, Mat Amat, Mat Pmat, void *actx)
2629 {
2630   LandauCtx *ctx = NULL;
2631   PetscInt   dim;
2632   DM         pack;
2633 #if defined(PETSC_HAVE_THREADSAFETY)
2634   double starttime, endtime;
2635 #endif
2636   PetscObjectState state;
2637 
2638   PetscFunctionBegin;
2639   PetscCall(TSGetDM(ts, &pack));
2640   PetscCall(DMGetApplicationContext(pack, &ctx));
2641   PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context");
2642   PetscCheck(Amat == Pmat && Amat == ctx->J, ctx->comm, PETSC_ERR_PLIB, "Amat!=Pmat || Amat!=ctx->J");
2643   PetscCall(DMGetDimension(pack, &dim));
2644   /* get collision Jacobian into A */
2645   if (ctx->stage) PetscCall(PetscLogStagePush(ctx->stage));
2646   PetscCall(PetscLogEventBegin(ctx->events[11], 0, 0, 0, 0));
2647   PetscCall(PetscLogEventBegin(ctx->events[9], 0, 0, 0, 0));
2648 #if defined(PETSC_HAVE_THREADSAFETY)
2649   starttime = MPI_Wtime();
2650 #endif
2651   PetscCall(PetscInfo(ts, "Adding mass to Jacobian t=%g, shift=%g\n", (double)time_dummy, (double)shift));
2652   PetscCheck(shift != 0.0, ctx->comm, PETSC_ERR_PLIB, "zero shift");
2653   PetscCall(PetscObjectStateGet((PetscObject)ctx->J, &state));
2654   PetscCheck(state == ctx->norm_state, ctx->comm, PETSC_ERR_PLIB, "wrong state, %" PetscInt64_FMT " %" PetscInt64_FMT "", ctx->norm_state, state);
2655   if (!ctx->use_matrix_mass) {
2656     PetscCall(LandauFormJacobian_Internal(X, ctx->J, dim, shift, (void *)ctx));
2657   } else { /* add mass */
2658     PetscCall(MatAXPY(Pmat, shift, ctx->M, SAME_NONZERO_PATTERN));
2659   }
2660 #if defined(PETSC_HAVE_THREADSAFETY)
2661   if (ctx->stage) {
2662     endtime = MPI_Wtime();
2663     ctx->times[LANDAU_OPERATOR] += (endtime - starttime);
2664     ctx->times[LANDAU_MASS] += (endtime - starttime);
2665     ctx->times[LANDAU_MATRIX_TOTAL] += (endtime - starttime);
2666   }
2667 #endif
2668   PetscCall(PetscLogEventEnd(ctx->events[9], 0, 0, 0, 0));
2669   PetscCall(PetscLogEventEnd(ctx->events[11], 0, 0, 0, 0));
2670   if (ctx->stage) PetscCall(PetscLogStagePop());
2671   PetscFunctionReturn(PETSC_SUCCESS);
2672 }
2673