Actual source code: landau.kokkos.cxx

  1: /*
  2:   Implements the Kokkos kernel
  3: */
  4: #include <petscconf.h>
  5: // On Sunspot, as of 05/04/2023, the default SYCL compiler oneapi/eng-compiler/2022.12.30.003
  6: // failed to link this file, so we add "defined(PETSC_HAVE_SYCL)" to disable landau with SYCL
  7: // to facilitate petsc users' experiments on Sunspot.
  8: // TODO: remove it when Intel fixed the bug. See MR !6412
  9: #if defined(PETSC_HAVE_CUDA_CLANG) || defined(PETSC_HAVE_SYCL)
 10: #include <petsclandau.h>
 11:   #define LANDAU_NOT_IMPLEMENTED SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "Not supported with CLANG or SYCL")
 12: PetscErrorCode LandauKokkosJacobian(DM[], const PetscInt, const PetscInt, const PetscInt, const PetscInt, const PetscInt[], PetscReal[], PetscScalar[], const PetscScalar[], const LandauStaticData *, const PetscReal, const PetscLogEvent[], const PetscInt[], const PetscInt[], Mat[], Mat)
 13: {
 14:   LANDAU_NOT_IMPLEMENTED;
 15: }
 16: PetscErrorCode LandauKokkosCreateMatMaps(P4estVertexMaps *, pointInterpolationP4est (*)[LANDAU_MAX_Q_FACE], PetscInt[], PetscInt)
 17: {
 18:   LANDAU_NOT_IMPLEMENTED;
 19: }
 20: PetscErrorCode LandauKokkosDestroyMatMaps(P4estVertexMaps *, PetscInt)
 21: {
 22:   LANDAU_NOT_IMPLEMENTED;
 23: }
 24: PetscErrorCode LandauKokkosStaticDataSet(DM, const PetscInt, const PetscInt, const PetscInt, const PetscInt, PetscInt[], PetscInt[], PetscInt[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], LandauStaticData *)
 25: {
 26:   LANDAU_NOT_IMPLEMENTED;
 27: }
 28: PetscErrorCode LandauKokkosStaticDataClear(LandauStaticData *)
 29: {
 30:   LANDAU_NOT_IMPLEMENTED;
 31: }
 32: #else
 33: #include <petscvec_kokkos.hpp>
 34: #include <petsclandau.h>
 35: #include <petsc/private/dmpleximpl.h>
 36: #include <petsc/private/deviceimpl.h>
 37: #include <petscts.h>

 39:   #include <Kokkos_Core.hpp>
 40:   #include <cstdio>
 41: typedef Kokkos::TeamPolicy<>::member_type team_member;
 42:   #include "../land_tensors.h"

 44: namespace landau_inner_red
 45: { // namespace helps with name resolution in reduction identity
 46: template <class ScalarType>
 47: struct array_type {
 48:   ScalarType gg2[LANDAU_DIM];
 49:   ScalarType gg3[LANDAU_DIM][LANDAU_DIM];

 51:   KOKKOS_INLINE_FUNCTION // Default constructor - Initialize to 0's
 52:   array_type()
 53:   {
 54:     for (int j = 0; j < LANDAU_DIM; j++) {
 55:       gg2[j] = 0;
 56:       for (int k = 0; k < LANDAU_DIM; k++) gg3[j][k] = 0;
 57:     }
 58:   }
 59:   KOKKOS_INLINE_FUNCTION // Copy Constructor
 60:   array_type(const array_type &rhs)
 61:   {
 62:     for (int j = 0; j < LANDAU_DIM; j++) {
 63:       gg2[j] = rhs.gg2[j];
 64:       for (int k = 0; k < LANDAU_DIM; k++) gg3[j][k] = rhs.gg3[j][k];
 65:     }
 66:   }
 67:   KOKKOS_INLINE_FUNCTION // add operator
 68:     array_type &
 69:     operator+=(const array_type &src)
 70:   {
 71:     for (int j = 0; j < LANDAU_DIM; j++) {
 72:       gg2[j] += src.gg2[j];
 73:       for (int k = 0; k < LANDAU_DIM; k++) gg3[j][k] += src.gg3[j][k];
 74:     }
 75:     return *this;
 76:   }
 77:   KOKKOS_INLINE_FUNCTION // volatile add operator
 78:     void
 79:     operator+=(const volatile array_type &src) volatile
 80:   {
 81:     for (int j = 0; j < LANDAU_DIM; j++) {
 82:       gg2[j] += src.gg2[j];
 83:       for (int k = 0; k < LANDAU_DIM; k++) gg3[j][k] += src.gg3[j][k];
 84:     }
 85:   }
 86: };
 87: typedef array_type<PetscReal> TensorValueType; // used to simplify code below
 88: } // namespace landau_inner_red

 90: namespace Kokkos
 91: { //reduction identity must be defined in Kokkos namespace
 92: template <>
 93: struct reduction_identity<landau_inner_red::TensorValueType> {
 94:   KOKKOS_FORCEINLINE_FUNCTION static landau_inner_red::TensorValueType sum() { return landau_inner_red::TensorValueType(); }
 95: };
 96: } // namespace Kokkos

 98: extern "C" {
 99: PetscErrorCode LandauKokkosCreateMatMaps(P4estVertexMaps maps[], pointInterpolationP4est (*pointMaps)[LANDAU_MAX_Q_FACE], PetscInt Nf[], PetscInt grid)
100: {
101:   P4estVertexMaps                                                                                                                                       h_maps; /* host container */
102:   const Kokkos::View<pointInterpolationP4est *[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>>     h_points((pointInterpolationP4est *)pointMaps, maps[grid].num_reduced);
103:   const Kokkos::View<LandauIdx *[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND], Kokkos::LayoutRight, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_gidx((LandauIdx *)maps[grid].gIdx, maps[grid].num_elements);
104:   Kokkos::View<pointInterpolationP4est *[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight>     *d_points = new Kokkos::View<pointInterpolationP4est *[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight>("points", maps[grid].num_reduced);
105:   Kokkos::View<LandauIdx *[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND], Kokkos::LayoutRight> *d_gidx   = new Kokkos::View<LandauIdx *[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND], Kokkos::LayoutRight>("gIdx", maps[grid].num_elements);

107:   PetscFunctionBegin;
108:   Kokkos::deep_copy(*d_gidx, h_gidx);
109:   Kokkos::deep_copy(*d_points, h_points);
110:   h_maps.num_elements = maps[grid].num_elements;
111:   h_maps.num_face     = maps[grid].num_face;
112:   h_maps.num_reduced  = maps[grid].num_reduced;
113:   h_maps.deviceType   = maps[grid].deviceType;
114:   h_maps.numgrids     = maps[grid].numgrids;
115:   h_maps.Nf           = Nf[grid];
116:   h_maps.c_maps       = (pointInterpolationP4est(*)[LANDAU_MAX_Q_FACE])d_points->data();
117:   maps[grid].vp1      = (void *)d_points;
118:   h_maps.gIdx         = (LandauIdx(*)[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND])d_gidx->data();
119:   maps[grid].vp2      = (void *)d_gidx;
120:   {
121:     Kokkos::View<P4estVertexMaps, Kokkos::HostSpace> h_maps_k(&h_maps);
122:     Kokkos::View<P4estVertexMaps>                   *d_maps_k = new Kokkos::View<P4estVertexMaps>(Kokkos::create_mirror(Kokkos::DefaultExecutionSpace::memory_space(), h_maps_k));
123:     Kokkos::deep_copy(*d_maps_k, h_maps_k);
124:     maps[grid].d_self = d_maps_k->data();
125:     maps[grid].vp3    = (void *)d_maps_k;
126:   }
127:   PetscFunctionReturn(PETSC_SUCCESS);
128: }
129: PetscErrorCode LandauKokkosDestroyMatMaps(P4estVertexMaps maps[], PetscInt num_grids)
130: {
131:   PetscFunctionBegin;
132:   for (PetscInt grid = 0; grid < num_grids; grid++) {
133:     auto a = static_cast<Kokkos::View<pointInterpolationP4est *[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight> *>(maps[grid].vp1);
134:     auto b = static_cast<Kokkos::View<LandauIdx *[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND], Kokkos::LayoutRight> *>(maps[grid].vp2);
135:     auto c = static_cast<Kokkos::View<P4estVertexMaps *> *>(maps[grid].vp3);
136:     delete a;
137:     delete b;
138:     delete c;
139:   }
140:   PetscFunctionReturn(PETSC_SUCCESS);
141: }

143: PetscErrorCode LandauKokkosStaticDataSet(DM plex, const PetscInt Nq, const PetscInt Nb, const PetscInt batch_sz, const PetscInt num_grids, PetscInt a_numCells[], PetscInt a_species_offset[], PetscInt a_mat_offset[], PetscReal a_nu_alpha[], PetscReal a_nu_beta[], PetscReal a_invMass[], PetscReal a_lambdas[], PetscReal a_invJ[], PetscReal a_x[], PetscReal a_y[], PetscReal a_z[], PetscReal a_w[], LandauStaticData *SData_d)
144: {
145:   PetscReal       *BB, *DD;
146:   PetscTabulation *Tf;
147:   PetscInt         dim;
148:   PetscInt         ip_offset[LANDAU_MAX_GRIDS + 1], ipf_offset[LANDAU_MAX_GRIDS + 1], elem_offset[LANDAU_MAX_GRIDS + 1], nip, IPf_sz, Nftot;
149:   PetscDS          prob;

151:   PetscFunctionBegin;
152:   PetscCall(DMGetDimension(plex, &dim));
153:   PetscCall(DMGetDS(plex, &prob));
154:   PetscCheck(LANDAU_DIM == dim, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " != LANDAU_DIM %d", dim, LANDAU_DIM);
155:   PetscCall(PetscDSGetTabulation(prob, &Tf));
156:   BB           = Tf[0]->T[0];
157:   DD           = Tf[0]->T[1];
158:   ip_offset[0] = ipf_offset[0] = elem_offset[0] = 0;
159:   nip                                           = 0;
160:   IPf_sz                                        = 0;
161:   for (PetscInt grid = 0; grid < num_grids; grid++) {
162:     PetscInt nfloc        = a_species_offset[grid + 1] - a_species_offset[grid];
163:     elem_offset[grid + 1] = elem_offset[grid] + a_numCells[grid];
164:     nip += a_numCells[grid] * Nq;
165:     ip_offset[grid + 1] = nip;
166:     IPf_sz += Nq * nfloc * a_numCells[grid];
167:     ipf_offset[grid + 1] = IPf_sz;
168:   }
169:   Nftot = a_species_offset[num_grids];
170:   PetscCall(PetscKokkosInitializeCheck());
171:   {
172:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_alpha(a_nu_alpha, Nftot);
173:     auto                                                                                                            alpha = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("alpha", Nftot);
174:     SData_d->alpha                                                                                                        = static_cast<void *>(alpha);
175:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_beta(a_nu_beta, Nftot);
176:     auto                                                                                                            beta = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("beta", Nftot);
177:     SData_d->beta                                                                                                        = static_cast<void *>(beta);
178:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_invMass(a_invMass, Nftot);
179:     auto                                                                                                            invMass = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("invMass", Nftot);
180:     SData_d->invMass                                                                                                        = static_cast<void *>(invMass);
181:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_lambdas(a_lambdas, LANDAU_MAX_GRIDS * LANDAU_MAX_GRIDS);
182:     auto                                                                                                            lambdas = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("lambdas", LANDAU_MAX_GRIDS * LANDAU_MAX_GRIDS);
183:     SData_d->lambdas                                                                                                        = static_cast<void *>(lambdas);
184:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_BB(BB, Nq * Nb);
185:     auto                                                                                                            B = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("B", Nq * Nb);
186:     SData_d->B                                                                                                        = static_cast<void *>(B);
187:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_DD(DD, Nq * Nb * dim);
188:     auto                                                                                                            D = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("D", Nq * Nb * dim);
189:     SData_d->D                                                                                                        = static_cast<void *>(D);
190:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_invJ(a_invJ, nip * dim * dim);
191:     auto                                                                                                            invJ = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("invJ", nip * dim * dim);
192:     SData_d->invJ                                                                                                        = static_cast<void *>(invJ);
193:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_x(a_x, nip);
194:     auto                                                                                                            x = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("x", nip);
195:     SData_d->x                                                                                                        = static_cast<void *>(x);
196:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_y(a_y, nip);
197:     auto                                                                                                            y = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("y", nip);
198:     SData_d->y                                                                                                        = static_cast<void *>(y);
199:     const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_w(a_w, nip);
200:     auto                                                                                                            w = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("w", nip);
201:     SData_d->w                                                                                                        = static_cast<void *>(w);

203:     Kokkos::deep_copy(*alpha, h_alpha);
204:     Kokkos::deep_copy(*beta, h_beta);
205:     Kokkos::deep_copy(*invMass, h_invMass);
206:     Kokkos::deep_copy(*lambdas, h_lambdas);
207:     Kokkos::deep_copy(*B, h_BB);
208:     Kokkos::deep_copy(*D, h_DD);
209:     Kokkos::deep_copy(*invJ, h_invJ);
210:     Kokkos::deep_copy(*x, h_x);
211:     Kokkos::deep_copy(*y, h_y);
212:     Kokkos::deep_copy(*w, h_w);

214:     if (dim == 3) {
215:       const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_z(a_z, nip);
216:       auto                                                                                                            z = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("z", nip);
217:       SData_d->z                                                                                                        = static_cast<void *>(z);
218:       Kokkos::deep_copy(*z, h_z);
219:     } else SData_d->z = NULL;

221:     //
222:     const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_NCells(a_numCells, num_grids);
223:     auto                                                                                                           nc = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("NCells", num_grids);
224:     SData_d->NCells                                                                                                   = static_cast<void *>(nc);
225:     Kokkos::deep_copy(*nc, h_NCells);

227:     const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_species_offset(a_species_offset, num_grids + 1);
228:     auto                                                                                                           soff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("species_offset", num_grids + 1);
229:     SData_d->species_offset                                                                                             = static_cast<void *>(soff);
230:     Kokkos::deep_copy(*soff, h_species_offset);

232:     const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_mat_offset(a_mat_offset, num_grids + 1);
233:     auto                                                                                                           moff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("mat_offset", num_grids + 1);
234:     SData_d->mat_offset                                                                                                 = static_cast<void *>(moff);
235:     Kokkos::deep_copy(*moff, h_mat_offset);

237:     const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_ip_offset(ip_offset, num_grids + 1);
238:     auto                                                                                                           ipoff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("ip_offset", num_grids + 1);
239:     SData_d->ip_offset                                                                                                   = static_cast<void *>(ipoff);
240:     Kokkos::deep_copy(*ipoff, h_ip_offset);

242:     const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_elem_offset(elem_offset, num_grids + 1);
243:     auto                                                                                                           eoff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("elem_offset", num_grids + 1);
244:     SData_d->elem_offset                                                                                                = static_cast<void *>(eoff);
245:     Kokkos::deep_copy(*eoff, h_elem_offset);

247:     const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_ipf_offset(ipf_offset, num_grids + 1);
248:     auto                                                                                                           ipfoff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("ipf_offset", num_grids + 1);
249:     SData_d->ipf_offset                                                                                                   = static_cast<void *>(ipfoff);
250:     Kokkos::deep_copy(*ipfoff, h_ipf_offset);
251:   #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, no copy
252:     auto ipfdf_data     = new Kokkos::View<PetscReal ***, Kokkos::LayoutLeft>("fdf", batch_sz, dim + 1, IPf_sz);
253:   #else
254:     auto ipfdf_data = new Kokkos::View<PetscReal ***, Kokkos::LayoutRight>("fdf", batch_sz, dim + 1, IPf_sz);
255:   #endif
256:     SData_d->ipfdf_data = static_cast<void *>(ipfdf_data);
257:     auto Eq_m           = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("Eq_m", Nftot); // allocate but do not set, same for whole batch
258:     SData_d->Eq_m       = static_cast<void *>(Eq_m);
259:     const Kokkos::View<LandauIdx *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_coo_elem_offsets((LandauIdx *)SData_d->coo_elem_offsets, SData_d->coo_n_cellsTot + 1);
260:     auto                                                                                                            coo_elem_offsets = new Kokkos::View<LandauIdx *, Kokkos::LayoutLeft>("coo_elem_offsets", SData_d->coo_n_cellsTot + 1);
261:     const Kokkos::View<LandauIdx *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_coo_elem_fullNb((LandauIdx *)SData_d->coo_elem_fullNb, SData_d->coo_n_cellsTot);
262:     auto                                                                                                            coo_elem_fullNb = new Kokkos::View<LandauIdx *, Kokkos::LayoutLeft>("coo_elem_offsets", SData_d->coo_n_cellsTot);
263:     const Kokkos::View<LandauIdx *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_coo_elem_point_offsets((LandauIdx *)SData_d->coo_elem_point_offsets, SData_d->coo_n_cellsTot * (LANDAU_MAX_NQND + 1));
264:     auto coo_elem_point_offsets = new Kokkos::View<LandauIdx *, Kokkos::LayoutLeft>("coo_elem_point_offsets", SData_d->coo_n_cellsTot * (LANDAU_MAX_NQND + 1));
265:     // assign & copy
266:     Kokkos::deep_copy(*coo_elem_offsets, h_coo_elem_offsets);
267:     Kokkos::deep_copy(*coo_elem_fullNb, h_coo_elem_fullNb);
268:     Kokkos::deep_copy(*coo_elem_point_offsets, h_coo_elem_point_offsets);
269:     // need to free this now and use pointer space
270:     PetscCall(PetscFree3(SData_d->coo_elem_offsets, SData_d->coo_elem_fullNb, SData_d->coo_elem_point_offsets));
271:     SData_d->coo_elem_offsets       = static_cast<void *>(coo_elem_offsets);
272:     SData_d->coo_elem_fullNb        = static_cast<void *>(coo_elem_fullNb);
273:     SData_d->coo_elem_point_offsets = static_cast<void *>(coo_elem_point_offsets);
274:     auto coo_vals                   = new Kokkos::View<PetscScalar *, Kokkos::LayoutRight, Kokkos::DefaultExecutionSpace>("coo_vals", SData_d->coo_size);
275:     SData_d->coo_vals               = static_cast<void *>(coo_vals);
276:   }
277:   SData_d->maps = NULL; // not used
278:   PetscFunctionReturn(PETSC_SUCCESS);
279: }

281: PetscErrorCode LandauKokkosStaticDataClear(LandauStaticData *SData_d)
282: {
283:   PetscFunctionBegin;
284:   if (SData_d->alpha) {
285:     auto alpha = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->alpha);
286:     delete alpha;
287:     SData_d->alpha = NULL;
288:     auto beta      = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->beta);
289:     delete beta;
290:     auto invMass = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->invMass);
291:     delete invMass;
292:     auto lambdas = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->lambdas);
293:     delete lambdas;
294:     auto B = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->B);
295:     delete B;
296:     auto D = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->D);
297:     delete D;
298:     auto invJ = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->invJ);
299:     delete invJ;
300:     auto x = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->x);
301:     delete x;
302:     auto y = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->y);
303:     delete y;
304:     if (SData_d->z) {
305:       auto z = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->z);
306:       delete z;
307:     }
308:   #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, no copy
309:     auto z = static_cast<Kokkos::View<PetscReal ***, Kokkos::LayoutLeft> *>(SData_d->ipfdf_data);
310:   #else
311:     auto z          = static_cast<Kokkos::View<PetscReal ***, Kokkos::LayoutRight> *>(SData_d->ipfdf_data);
312:   #endif
313:     delete z;
314:     auto w = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->w);
315:     delete w;
316:     auto Eq_m = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->Eq_m);
317:     delete Eq_m;
318:     // offset
319:     auto nc = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->NCells);
320:     delete nc;
321:     auto soff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->species_offset);
322:     delete soff;
323:     auto moff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->mat_offset);
324:     delete moff;
325:     auto ipoff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->ip_offset);
326:     delete ipoff;
327:     auto eoff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->elem_offset);
328:     delete eoff;
329:     auto ipfoff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->ipf_offset);
330:     delete ipfoff;
331:     auto coo_elem_offsets = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>((void *)SData_d->coo_elem_offsets);
332:     delete coo_elem_offsets;
333:     auto coo_elem_fullNb = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>((void *)SData_d->coo_elem_fullNb);
334:     delete coo_elem_fullNb;
335:     auto coo_elem_point_offsets = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>((void *)SData_d->coo_elem_point_offsets);
336:     delete coo_elem_point_offsets;
337:     SData_d->coo_elem_offsets       = NULL;
338:     SData_d->coo_elem_point_offsets = NULL;
339:     SData_d->coo_elem_fullNb        = NULL;
340:     auto coo_vals                   = static_cast<Kokkos::View<PetscScalar *, Kokkos::LayoutRight, Kokkos::DefaultExecutionSpace> *>((void *)SData_d->coo_vals);
341:     delete coo_vals;
342:   }
343:   PetscFunctionReturn(PETSC_SUCCESS);
344: }

346:   #define KOKKOS_SHARED_LEVEL 0   // 0 is shared, 1 is global

348: KOKKOS_INLINE_FUNCTION
349: PetscErrorCode landau_mat_assemble(PetscScalar *coo_vals, const PetscScalar Aij, const PetscInt f, const PetscInt g, const PetscInt Nb, PetscInt moffset, const PetscInt elem, const PetscInt fieldA, const P4estVertexMaps *d_maps, const LandauIdx coo_elem_offsets[], const LandauIdx coo_elem_fullNb[], const LandauIdx (*coo_elem_point_offsets)[LANDAU_MAX_NQND + 1], const PetscInt glb_elem_idx, const PetscInt bid_coo_sz_batch)
350: {
351:   PetscInt               idx, q, nr, nc;
352:   const LandauIdx *const Idxs                         = &d_maps->gIdx[elem][fieldA][0];
353:   PetscScalar            row_scale[LANDAU_MAX_Q_FACE] = {0}, col_scale[LANDAU_MAX_Q_FACE] = {0};
354:   { // mirror (i,j) in CreateStaticGPUData
355:     const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb;
356:     idx = Idxs[f];
357:     if (idx >= 0) {
358:       nr           = 1;
359:       row_scale[0] = 1.;
360:     } else {
361:       idx = -idx - 1;
362:       for (q = 0, nr = 0; q < d_maps->num_face; q++, nr++) {
363:         if (d_maps->c_maps[idx][q].gid < 0) break;
364:         row_scale[q] = d_maps->c_maps[idx][q].scale;
365:       }
366:     }
367:     idx = Idxs[g];
368:     if (idx >= 0) {
369:       nc           = 1;
370:       col_scale[0] = 1.;
371:     } else {
372:       idx = -idx - 1;
373:       nc  = d_maps->num_face;
374:       for (q = 0, nc = 0; q < d_maps->num_face; q++, nc++) {
375:         if (d_maps->c_maps[idx][q].gid < 0) break;
376:         col_scale[q] = d_maps->c_maps[idx][q].scale;
377:       }
378:     }
379:     const int idx0 = bid_coo_sz_batch + 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];
380:     for (int q = 0, idx2 = idx0; q < nr; q++) {
381:       for (int d = 0; d < nc; d++, idx2++) coo_vals[idx2] = row_scale[q] * col_scale[d] * Aij;
382:     }
383:   }
384:   return PETSC_SUCCESS;
385: }

387: PetscErrorCode LandauKokkosJacobian(DM plex[], const PetscInt Nq, const PetscInt Nb, const PetscInt batch_sz, const PetscInt num_grids, const PetscInt a_numCells[], PetscReal a_Eq_m[], PetscScalar a_elem_closure[], const PetscScalar a_xarray[], const LandauStaticData *SData_d, const PetscReal shift, const PetscLogEvent events[], const PetscInt a_mat_offset[], const PetscInt a_species_offset[], Mat subJ[], Mat JacP)
388: {
389:   using scr_mem_t   = Kokkos::DefaultExecutionSpace::scratch_memory_space;
390:   using real2_scr_t = Kokkos::View<PetscScalar **, Kokkos::LayoutRight, scr_mem_t>;
391:   using g2_scr_t    = Kokkos::View<PetscReal ***, Kokkos::LayoutRight, scr_mem_t>;
392:   using g3_scr_t    = Kokkos::View<PetscReal ****, Kokkos::LayoutRight, scr_mem_t>;
393:   PetscInt         dim, num_cells_max, Nf_max, num_cells_batch;
394:   int              nfaces = 0, vector_size = 512 / Nq;
395:   LandauCtx       *ctx;
396:   PetscReal       *d_Eq_m     = NULL;
397:   PetscScalar     *d_vertex_f = NULL;
398:   P4estVertexMaps *maps[LANDAU_MAX_GRIDS]; // this gets captured
399:   PetscContainer   container;
400:   const int        conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp == 0) ? Nq : 1;
401:   const PetscInt   coo_sz_batch = SData_d->coo_size / batch_sz;                                                 // capture
402:   auto             d_alpha_k    = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->alpha); //static data
403:   const PetscReal *d_alpha      = d_alpha_k->data();
404:   const PetscInt   Nftot        = d_alpha_k->size(); // total number of species
405:   auto             d_beta_k     = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->beta);
406:   const PetscReal *d_beta       = d_beta_k->data();
407:   auto             d_invMass_k  = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->invMass);
408:   const PetscReal *d_invMass    = d_invMass_k->data();
409:   auto             d_lambdas_k  = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->lambdas);
410:   const PetscReal *d_lambdas    = d_lambdas_k->data();
411:   auto             d_B_k        = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->B);
412:   const PetscReal *d_BB         = d_B_k->data();
413:   auto             d_D_k        = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->D);
414:   const PetscReal *d_DD         = d_D_k->data();
415:   auto             d_invJ_k     = *static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->invJ); // use Kokkos vector in kernels
416:   auto             d_x_k        = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->x);     //static data
417:   const PetscReal *d_x          = d_x_k->data();
418:   auto             d_y_k        = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->y); //static data
419:   const PetscReal *d_y          = d_y_k->data();
420:   auto             d_z_k        = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->z); //static data
421:   const PetscReal *d_z          = (LANDAU_DIM == 3) ? d_z_k->data() : NULL;
422:   auto             d_w_k        = *static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->w); //static data
423:   const PetscReal *d_w          = d_w_k.data();
424:   // grid offsets - single vertex grid data
425:   auto                                            d_numCells_k       = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->NCells);
426:   const PetscInt                                 *d_numCells         = d_numCells_k->data();
427:   auto                                            d_species_offset_k = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->species_offset);
428:   const PetscInt                                 *d_species_offset   = d_species_offset_k->data();
429:   auto                                            d_mat_offset_k     = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->mat_offset);
430:   const PetscInt                                 *d_mat_offset       = d_mat_offset_k->data();
431:   auto                                            d_ip_offset_k      = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->ip_offset);
432:   const PetscInt                                 *d_ip_offset        = d_ip_offset_k->data();
433:   auto                                            d_ipf_offset_k     = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->ipf_offset);
434:   const PetscInt                                 *d_ipf_offset       = d_ipf_offset_k->data();
435:   auto                                            d_elem_offset_k    = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->elem_offset);
436:   const PetscInt                                 *d_elem_offset      = d_elem_offset_k->data();
437:   #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, including batched vertices
438:   Kokkos::View<PetscReal ***, Kokkos::LayoutLeft> d_fdf_k            = *static_cast<Kokkos::View<PetscReal ***, Kokkos::LayoutLeft> *>(SData_d->ipfdf_data);
439:   #else
440:   Kokkos::View<PetscReal ***, Kokkos::LayoutRight> d_fdf_k = *static_cast<Kokkos::View<PetscReal ***, Kokkos::LayoutRight> *>(SData_d->ipfdf_data);
441:   #endif
442:   auto                                            d_Eq_m_k           = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->Eq_m); // static storage, dynamci data - E(t), copy later, single vertex
443:   // COO
444:   auto       d_coo_elem_offsets_k                           = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>(SData_d->coo_elem_offsets);
445:   LandauIdx *d_coo_elem_offsets                             = (SData_d->coo_size == 0) ? NULL : d_coo_elem_offsets_k->data();
446:   auto       d_coo_elem_fullNb_k                            = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>(SData_d->coo_elem_fullNb);
447:   LandauIdx *d_coo_elem_fullNb                              = (SData_d->coo_size == 0) ? NULL : d_coo_elem_fullNb_k->data();
448:   auto       d_coo_elem_point_offsets_k                     = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>(SData_d->coo_elem_point_offsets);
449:   LandauIdx(*d_coo_elem_point_offsets)[LANDAU_MAX_NQND + 1] = (SData_d->coo_size == 0) ? NULL : (LandauIdx(*)[LANDAU_MAX_NQND + 1]) d_coo_elem_point_offsets_k->data();
450:   auto         d_coo_vals_k                                 = static_cast<Kokkos::View<PetscScalar *, Kokkos::LayoutRight> *>(SData_d->coo_vals);
451:   PetscScalar *d_coo_vals                                   = (SData_d->coo_size == 0) ? NULL : d_coo_vals_k->data();

453:   PetscFunctionBegin;
454:   while (vector_size & (vector_size - 1)) vector_size = vector_size & (vector_size - 1);
455:   if (vector_size > 16) vector_size = 16; // printf("DEBUG\n");
456:   PetscCall(PetscLogEventBegin(events[3], 0, 0, 0, 0));
457:   PetscCall(DMGetApplicationContext(plex[0], &ctx));
458:   PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context");
459:   PetscCall(DMGetDimension(plex[0], &dim));
460:   PetscCheck(LANDAU_DIM == dim, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " != LANDAU_DIM %d", dim, LANDAU_DIM);
461:   if (ctx->gpu_assembly) {
462:     PetscCall(PetscObjectQuery((PetscObject)JacP, "assembly_maps", (PetscObject *)&container));
463:     if (container) {
464:       P4estVertexMaps *h_maps = NULL;
465:       PetscCall(PetscContainerGetPointer(container, (void **)&h_maps));
466:       for (PetscInt grid = 0; grid < num_grids; grid++) {
467:         if (h_maps[grid].d_self) {
468:           maps[grid] = h_maps[grid].d_self;
469:           nfaces     = h_maps[grid].num_face; // nface=0 for CPU assembly
470:         } else {
471:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "GPU assembly but no metadata in container");
472:         }
473:       }
474:       PetscCheck(d_coo_vals, PETSC_COMM_SELF, PETSC_ERR_PLIB, "d_coo_vals==0");
475:     } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "GPU assembly but no metadata in container");
476:   } else {
477:     for (PetscInt grid = 0; grid < num_grids; grid++) maps[grid] = NULL;
478:     nfaces    = 0;
479:     container = NULL;
480:   }
481:   num_cells_batch = Nf_max = num_cells_max = 0;
482:   for (PetscInt grid = 0; grid < num_grids; grid++) {
483:     int Nfloc = a_species_offset[grid + 1] - a_species_offset[grid];
484:     if (Nfloc > Nf_max) Nf_max = Nfloc;
485:     if (a_numCells[grid] > num_cells_max) num_cells_max = a_numCells[grid];
486:     num_cells_batch += a_numCells[grid]; // we don't have a host element offset here (but in ctx)
487:   }
488:   const int                                                                                                       elem_mat_num_cells_max_grid = container ? 0 : num_cells_max;
489:   #ifdef LAND_SUPPORT_CPU_ASS
490:   const int                                                                                                       totDim_max = Nf_max * Nb, elem_mat_size_max = totDim_max * totDim_max;
491:   Kokkos::View<PetscScalar ****, Kokkos::LayoutRight>                                                             d_elem_mats("element matrices", batch_sz, num_grids, elem_mat_num_cells_max_grid, elem_mat_size_max); // not used (cpu assembly)
492:   #endif
493:   const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_Eq_m_k(a_Eq_m, Nftot);
494:   if (a_elem_closure || a_xarray) {
495:     Kokkos::deep_copy(*d_Eq_m_k, h_Eq_m_k);
496:     d_Eq_m = d_Eq_m_k->data();
497:   } else d_Eq_m = NULL;
498:   PetscCall(PetscKokkosInitializeCheck());
499:   PetscCall(PetscLogEventEnd(events[3], 0, 0, 0, 0));
500:   if (a_elem_closure || a_xarray) { // Jacobian, create f & df
501:     Kokkos::View<PetscScalar *, Kokkos::LayoutLeft> *d_vertex_f_k = NULL;
502:     PetscCall(PetscLogEventBegin(events[1], 0, 0, 0, 0));
503:     if (a_elem_closure) {
504:       PetscInt closure_sz = 0; // argh, don't have this on the host!!!
505:       for (PetscInt grid = 0; grid < num_grids; grid++) {
506:         PetscInt nfloc = a_species_offset[grid + 1] - a_species_offset[grid];
507:         closure_sz += Nb * nfloc * a_numCells[grid];
508:       }
509:       closure_sz *= batch_sz;
510:       d_vertex_f_k = new Kokkos::View<PetscScalar *, Kokkos::LayoutLeft>("closure", closure_sz);
511:       const Kokkos::View<PetscScalar *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_closure_k(a_elem_closure, closure_sz); // Vertex data for each element
512:       Kokkos::deep_copy(*d_vertex_f_k, h_closure_k);
513:       d_vertex_f = d_vertex_f_k->data();
514:     } else {
515:       d_vertex_f = (PetscScalar *)a_xarray;
516:     }
517:     PetscCall(PetscLogEventEnd(events[1], 0, 0, 0, 0));
518:     PetscCall(PetscLogEventBegin(events[8], 0, 0, 0, 0));
519:     PetscCall(PetscLogGpuTimeBegin());

521:     const int scr_bytes_fdf = real2_scr_t::shmem_size(Nf_max, Nb);
522:     PetscCall(PetscInfo(plex[0], "df & f shared memory size: %d bytes in level, %d num cells total=%d, team size=%d, vector size=%d, #face=%d, Nf_max=%d\n", scr_bytes_fdf, KOKKOS_SHARED_LEVEL, (int)(num_cells_batch * batch_sz), team_size, vector_size, nfaces, (int)Nf_max));
523:     Kokkos::parallel_for(
524:       "f, df", Kokkos::TeamPolicy<>(num_cells_batch * batch_sz, team_size, /* Kokkos::AUTO */ vector_size).set_scratch_size(KOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes_fdf)), KOKKOS_LAMBDA(const team_member team) {
525:         const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank() % b_Nelem, b_id = team.league_rank() / b_Nelem, IPf_sz_glb = d_ipf_offset[num_grids];
526:         // find my grid
527:         PetscInt grid = 0;
528:         while (b_elem_idx >= d_elem_offset[grid + 1]) grid++;
529:         {
530:           const PetscInt loc_nip = d_numCells[grid] * Nq, loc_Nf = d_species_offset[grid + 1] - d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid];
531:           const PetscInt moffset = LAND_MOFFSET(b_id, grid, batch_sz, num_grids, d_mat_offset);
532:           {
533:             real2_scr_t      s_coef_k(team.team_scratch(KOKKOS_SHARED_LEVEL), Nf_max, Nb);
534:             PetscScalar     *coef;
535:             const PetscReal *invJe = &d_invJ_k((d_ip_offset[grid] + loc_elem * Nq) * dim * dim);
536:             // un pack IPData
537:             if (!maps[grid]) {
538:               coef = &d_vertex_f[b_id * IPf_sz_glb + d_ipf_offset[grid] + loc_elem * Nb * loc_Nf]; // closure and IP indexing are the same
539:             } else {
540:               coef = s_coef_k.data();
541:               Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, (int)loc_Nf), [=](int f) {
542:                 //for (int f = 0; f < loc_Nf; ++f) {
543:                 Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, 0, (int)Nb), [=](int b) {
544:                   //for (int b = 0; b < Nb; ++b) {
545:                   LandauIdx idx = maps[grid]->gIdx[loc_elem][f][b];
546:                   if (idx >= 0) {
547:                     coef[f * Nb + b] = d_vertex_f[idx + moffset]; // xarray data, not IP, need raw array to deal with CPU assemble case (not used)
548:                   } else {
549:                     idx              = -idx - 1;
550:                     coef[f * Nb + b] = 0;
551:                     for (int q = 0; q < maps[grid]->num_face; q++) {
552:                       PetscInt    id    = maps[grid]->c_maps[idx][q].gid;
553:                       PetscScalar scale = maps[grid]->c_maps[idx][q].scale;
554:                       if (id >= 0) coef[f * Nb + b] += scale * d_vertex_f[id + moffset];
555:                     }
556:                   }
557:                 });
558:               });
559:             }
560:             team.team_barrier();
561:             Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, Nq), [=](int myQi) {
562:               const PetscReal *const invJ = &invJe[myQi * dim * dim]; // b_elem_idx: batch element index
563:               const PetscReal       *Bq = &d_BB[myQi * Nb], *Dq = &d_DD[myQi * Nb * dim];
564:               Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, 0, (int)loc_Nf), [=](int f) {
565:                 PetscInt       b, e, d;
566:                 PetscReal      refSpaceDer[LANDAU_DIM];
567:                 const PetscInt idx    = d_ipf_offset[grid] + f * loc_nip + loc_elem * Nq + myQi;
568:                 d_fdf_k(b_id, 0, idx) = 0.0;
569:                 for (d = 0; d < LANDAU_DIM; ++d) refSpaceDer[d] = 0.0;
570:                 for (b = 0; b < Nb; ++b) {
571:                   d_fdf_k(b_id, 0, idx) += Bq[b] * PetscRealPart(coef[f * Nb + b]);
572:                   for (d = 0; d < dim; ++d) refSpaceDer[d] += Dq[b * dim + d] * PetscRealPart(coef[f * Nb + b]);
573:                 }
574:                 for (d = 0; d < dim; ++d) {
575:                   for (e = 0, d_fdf_k(b_id, d + 1, idx) = 0.0; e < dim; ++e) d_fdf_k(b_id, d + 1, idx) += invJ[e * dim + d] * refSpaceDer[e];
576:                 }
577:               }); // f
578:             });   // myQi
579:           }
580:           team.team_barrier();
581:         } // 'grid' scope
582:       }); // global elems - fdf
583:     Kokkos::fence();
584:     PetscCall(PetscLogGpuTimeEnd());
585:     PetscCall(PetscLogEventEnd(events[8], 0, 0, 0, 0));
586:     // Jacobian
587:     size_t      maximum_shared_mem_size = 64000;
588:     PetscDevice device;

590:     PetscCall(PetscDeviceGetDefault_Internal(&device));
591:     PetscCall(PetscDeviceGetAttribute(device, PETSC_DEVICE_ATTR_SIZE_T_SHARED_MEM_PER_BLOCK, &maximum_shared_mem_size));
592:     size_t    jac_scr_bytes    = (size_t)2 * (g2_scr_t::shmem_size(dim, Nf_max, Nq) + g3_scr_t::shmem_size(dim, dim, Nf_max, Nq));
593:     const int jac_shared_level = (jac_scr_bytes > maximum_shared_mem_size) ? 1 : KOKKOS_SHARED_LEVEL;
594:     // device function/lambda
595:     auto jac_lambda = KOKKOS_LAMBDA(const team_member team)
596:     {
597:       const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank() % b_Nelem, b_id = team.league_rank() / b_Nelem;
598:       // find my grid
599:       PetscInt grid = 0;
600:       while (b_elem_idx >= d_elem_offset[grid + 1]) grid++;
601:       {
602:         const PetscInt loc_Nf = d_species_offset[grid + 1] - d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid];
603:         const PetscInt moffset = LAND_MOFFSET(b_id, grid, batch_sz, num_grids, d_mat_offset);
604:         const PetscInt f_off   = d_species_offset[grid];
605:   #ifdef LAND_SUPPORT_CPU_ASS
606:         const PetscInt totDim  = loc_Nf * Nb;
607:   #endif
608:         g2_scr_t       g2(team.team_scratch(jac_shared_level), dim, loc_Nf, Nq);
609:         g3_scr_t       g3(team.team_scratch(jac_shared_level), dim, dim, loc_Nf, Nq);
610:         g2_scr_t       gg2(team.team_scratch(jac_shared_level), dim, loc_Nf, Nq);
611:         g3_scr_t       gg3(team.team_scratch(jac_shared_level), dim, dim, loc_Nf, Nq);
612:         // get g2[] & g3[]
613:         Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, Nq), [=](int myQi) {
614:           using Kokkos::parallel_reduce;
615:           const PetscInt                    jpidx_glb = d_ip_offset[grid] + loc_elem * Nq + myQi;
616:           const PetscReal                  *invJ      = &d_invJ_k(jpidx_glb * dim * dim);
617:           const PetscReal                   vj[3] = {d_x[jpidx_glb], d_y[jpidx_glb], d_z ? d_z[jpidx_glb] : 0}, wj = d_w[jpidx_glb];
618:           landau_inner_red::TensorValueType gg_temp; // reduce on part of gg2 and g33 for IP jpidx_g
619:           Kokkos::parallel_reduce(
620:             Kokkos::ThreadVectorRange(team, (int)d_ip_offset[num_grids]),
621:             [=](const int &ipidx, landau_inner_red::TensorValueType &ggg) {
622:               const PetscReal wi = d_w[ipidx], x = d_x[ipidx], y = d_y[ipidx];
623:               PetscReal       temp1[3] = {0, 0, 0}, temp2 = 0;
624:               PetscInt        fieldB, d2, d3, f_off_r, grid_r, ipidx_g, nip_loc_r, loc_Nf_r;
625:   #if LANDAU_DIM == 2
626:               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.;
627:               LandauTensor2D(vj, x, y, Ud, Uk, mask);
628:   #else
629:                 PetscReal U[3][3], z = d_z[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.;
630:                 LandauTensor3D(vj, x, y, z, U, mask);
631:   #endif
632:               grid_r = 0;
633:               while (ipidx >= d_ip_offset[grid_r + 1]) grid_r++; // yuck search for grid
634:               f_off_r   = d_species_offset[grid_r];
635:               ipidx_g   = ipidx - d_ip_offset[grid_r];
636:               nip_loc_r = d_numCells[grid_r] * Nq;
637:               loc_Nf_r  = d_species_offset[grid_r + 1] - d_species_offset[grid_r];
638:               for (fieldB = 0; fieldB < loc_Nf_r; ++fieldB) { // fieldB is \beta  d_lambdas[grid][grid_r]
639:                 const PetscInt  idx = d_ipf_offset[grid_r] + fieldB * nip_loc_r + ipidx_g;
640:                 const PetscReal ff1 = d_beta[fieldB + f_off_r] * d_lambdas[LANDAU_MAX_GRIDS * grid + grid_r], ff2 = d_invMass[fieldB + f_off_r] * ff1;
641:                 temp1[0] += d_fdf_k(b_id, 1, idx) * ff2;
642:                 temp1[1] += d_fdf_k(b_id, 2, idx) * ff2;
643:   #if LANDAU_DIM == 3
644:                 temp1[2] += d_fdf_k(b_id, 3, idx) * ff2;
645:   #endif
646:                 temp2 += d_fdf_k(b_id, 0, idx) * ff1;
647:               }
648:               temp1[0] *= wi;
649:               temp1[1] *= wi;
650:   #if LANDAU_DIM == 3
651:               temp1[2] *= wi;
652:   #endif
653:               temp2 *= wi;
654:   #if LANDAU_DIM == 2
655:               for (d2 = 0; d2 < 2; d2++) {
656:                 for (d3 = 0; d3 < 2; ++d3) {
657:                   /* K = U * grad(f): g2=e: i,A */
658:                   ggg.gg2[d2] += Uk[d2][d3] * temp1[d3];
659:                   /* D = -U * (I \kron (fx)): g3=f: i,j,A */
660:                   ggg.gg3[d2][d3] += Ud[d2][d3] * temp2;
661:                 }
662:               }
663:   #else
664:                 for (d2 = 0; d2 < 3; ++d2) {
665:                   for (d3 = 0; d3 < 3; ++d3) {
666:                     /* K = U * grad(f): g2 = e: i,A */
667:                     ggg.gg2[d2] += U[d2][d3]*temp1[d3];
668:                     /* D = -U * (I \kron (fx)): g3 = f: i,j,A */
669:                     ggg.gg3[d2][d3] += U[d2][d3]*temp2;
670:                   }
671:                 }
672:   #endif
673:             },
674:             Kokkos::Sum<landau_inner_red::TensorValueType>(gg_temp));
675:           // add alpha and put in gg2/3
676:           Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, (int)loc_Nf), [&](const int &fieldA) { // \alpha
677:             PetscInt d2, d3;
678:             for (d2 = 0; d2 < dim; d2++) {
679:               gg2(d2, fieldA, myQi) = gg_temp.gg2[d2] * d_alpha[fieldA + f_off];
680:               for (d3 = 0; d3 < dim; d3++) gg3(d2, d3, fieldA, myQi) = -gg_temp.gg3[d2][d3] * d_alpha[fieldA + f_off] * d_invMass[fieldA + f_off];
681:             }
682:           });
683:           /* add electric field term once per IP */
684:           Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, (int)loc_Nf), [&](const int &fieldA) { gg2(dim - 1, fieldA, myQi) += d_Eq_m[fieldA + f_off]; });
685:           Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, (int)loc_Nf), [=](const int &fieldA) {
686:             int d, d2, d3, dp;
687:             /* Jacobian transform - g2, g3 - per thread (2D) */
688:             for (d = 0; d < dim; ++d) {
689:               g2(d, fieldA, myQi) = 0;
690:               for (d2 = 0; d2 < dim; ++d2) {
691:                 g2(d, fieldA, myQi) += invJ[d * dim + d2] * gg2(d2, fieldA, myQi);
692:                 g3(d, d2, fieldA, myQi) = 0;
693:                 for (d3 = 0; d3 < dim; ++d3) {
694:                   for (dp = 0; dp < dim; ++dp) g3(d, d2, fieldA, myQi) += invJ[d * dim + d3] * gg3(d3, dp, fieldA, myQi) * invJ[d2 * dim + dp];
695:                 }
696:                 g3(d, d2, fieldA, myQi) *= wj;
697:               }
698:               g2(d, fieldA, myQi) *= wj;
699:             }
700:           });
701:         }); // Nq
702:         team.team_barrier();
703:         { /* assemble */
704:           for (PetscInt fieldA = 0; fieldA < loc_Nf; fieldA++) {
705:             /* assemble */
706:             Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, Nb), [=](int f) {
707:               Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, 0, Nb), [=](int g) {
708:                 PetscScalar t = 0;
709:                 for (int qj = 0; qj < Nq; qj++) { // look at others integration points
710:                   const PetscReal *BJq = &d_BB[qj * Nb], *DIq = &d_DD[qj * Nb * dim];
711:                   for (int d = 0; d < dim; ++d) {
712:                     t += DIq[f * dim + d] * g2(d, fieldA, qj) * BJq[g];
713:                     for (int d2 = 0; d2 < dim; ++d2) t += DIq[f * dim + d] * g3(d, d2, fieldA, qj) * DIq[g * dim + d2];
714:                   }
715:                 }
716:                 if (elem_mat_num_cells_max_grid) { // CPU assembly
717:   #ifdef LAND_SUPPORT_CPU_ASS
718:                   const PetscInt fOff                     = (fieldA * Nb + f) * totDim + fieldA * Nb + g;
719:                   d_elem_mats(b_id, grid, loc_elem, fOff) = t;
720:   #endif
721:                 } else {
722:                   static_cast<void>(landau_mat_assemble(d_coo_vals, t, f, g, Nb, moffset, loc_elem, fieldA, maps[grid], d_coo_elem_offsets, d_coo_elem_fullNb, d_coo_elem_point_offsets, b_elem_idx, b_id * coo_sz_batch));
723:                 }
724:               });
725:             });
726:           }
727:         }
728:       } // scope with 'grid'
729:     };
730:   #if defined(PETSC_HAVE_HIP)
731:     const int lbound2 = 1;
732:   #else
733:     const int lbound2 = 2;
734:   #endif
735:     PetscCall(PetscLogEventBegin(events[4], 0, 0, 0, 0));
736:     PetscCall(PetscLogGpuTimeBegin());
737:     PetscCall(PetscInfo(plex[0], "Jacobian shared memory size: %zu bytes in level %s (max shared=%zu), num cells total=%d, team size=%d, vector size=%d, #face=%d, Nf_max=%d\n", jac_scr_bytes, jac_shared_level == 0 ? "local" : "global", maximum_shared_mem_size, (int)(num_cells_batch * batch_sz), team_size, vector_size, nfaces, (int)Nf_max));
738:     Kokkos::parallel_for("Jacobian", Kokkos::TeamPolicy<Kokkos::LaunchBounds<256, lbound2>>(num_cells_batch * batch_sz, team_size, vector_size).set_scratch_size(jac_shared_level, Kokkos::PerTeam(jac_scr_bytes)), jac_lambda); // Kokkos::LaunchBounds<512,2>
739:     Kokkos::fence();
740:     PetscCall(PetscLogGpuTimeEnd());
741:     PetscCall(PetscLogEventEnd(events[4], 0, 0, 0, 0));
742:     if (d_vertex_f_k) delete d_vertex_f_k;
743:   } else { // mass
744:     PetscCall(PetscLogEventBegin(events[16], 0, 0, 0, 0));
745:     PetscCall(PetscLogGpuTimeBegin());
746:     PetscCall(PetscInfo(plex[0], "Mass team size=%d vector size=%d #face=%d Nb=%" PetscInt_FMT ", %s assembly\n", team_size, vector_size, nfaces, Nb, d_coo_vals ? "COO" : "CSR"));
747:     Kokkos::parallel_for(
748:       "Mass", Kokkos::TeamPolicy<>(num_cells_batch * batch_sz, team_size, vector_size), KOKKOS_LAMBDA(const team_member team) { // Kokkos::LaunchBounds<512,4>
749:         const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank() % b_Nelem, b_id = team.league_rank() / b_Nelem;
750:         // find my grid
751:         PetscInt grid = 0;
752:         while (b_elem_idx >= d_elem_offset[grid + 1]) grid++;
753:         {
754:           const PetscInt loc_Nf = d_species_offset[grid + 1] - d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid], jpidx_0 = d_ip_offset[grid] + loc_elem * Nq;
755:   #ifdef LAND_SUPPORT_CPU_ASS
756:           const PetscInt totDim  = loc_Nf * Nb;
757:   #endif
758:           const PetscInt moffset = LAND_MOFFSET(b_id, grid, batch_sz, num_grids, d_mat_offset);
759:           for (int fieldA = 0; fieldA < loc_Nf; fieldA++) {
760:             /* assemble */
761:             Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, Nb), [=](int f) {
762:               Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, 0, Nb), [=](int g) {
763:                 PetscScalar t = 0;
764:                 for (int qj = 0; qj < Nq; qj++) { // look at others integration points
765:                   const PetscReal *BJq       = &d_BB[qj * Nb];
766:                   const PetscInt   jpidx_glb = jpidx_0 + qj;
767:                   if (dim == 2) {
768:                     t += BJq[f] * d_w_k(jpidx_glb) * shift * BJq[g] * 2. * PETSC_PI;
769:                   } else {
770:                     t += BJq[f] * d_w_k(jpidx_glb) * shift * BJq[g];
771:                   }
772:                 }
773:                 if (elem_mat_num_cells_max_grid) {
774:   #ifdef LAND_SUPPORT_CPU_ASS
775:                   const PetscInt fOff                     = (fieldA * Nb + f) * totDim + fieldA * Nb + g;
776:                   d_elem_mats(b_id, grid, loc_elem, fOff) = t;
777:   #endif
778:                 } else {
779:                   static_cast<void>(landau_mat_assemble(d_coo_vals, t, f, g, Nb, moffset, loc_elem, fieldA, maps[grid], d_coo_elem_offsets, d_coo_elem_fullNb, d_coo_elem_point_offsets, b_elem_idx, b_id * coo_sz_batch));
780:                 }
781:               });
782:             });
783:           } // field
784:         }   // grid
785:       });
786:     Kokkos::fence();
787:     PetscCall(PetscLogGpuTimeEnd());
788:     PetscCall(PetscLogEventEnd(events[16], 0, 0, 0, 0));
789:   }
790:   if (d_coo_vals) {
791:     PetscCall(MatSetValuesCOO(JacP, d_coo_vals, ADD_VALUES));
792:   #ifndef LAND_SUPPORT_CPU_ASS
793:     Kokkos::fence();                        // for timers
794:   #endif
795:   } else if (elem_mat_num_cells_max_grid) { // CPU assembly
796:   #ifdef LAND_SUPPORT_CPU_ASS
797:     Kokkos::View<PetscScalar ****, Kokkos::LayoutRight>::HostMirror h_elem_mats = Kokkos::create_mirror_view(d_elem_mats);
798:     Kokkos::deep_copy(h_elem_mats, d_elem_mats);
799:     PetscCheck(!container, PETSC_COMM_SELF, PETSC_ERR_PLIB, "?????");
800:     for (PetscInt b_id = 0; b_id < batch_sz; b_id++) { // OpenMP (once)
801:       for (PetscInt grid = 0; grid < num_grids; grid++) {
802:         PetscSection       section, globalSection;
803:         PetscInt           cStart, cEnd;
804:         Mat                B       = subJ[LAND_PACK_IDX(b_id, grid)];
805:         PetscInt           moffset = LAND_MOFFSET(b_id, grid, batch_sz, num_grids, a_mat_offset), nloc, nzl, colbuf[1024], row;
806:         const PetscInt    *cols;
807:         const PetscScalar *vals;
808:         PetscCall(PetscLogEventBegin(events[5], 0, 0, 0, 0));
809:         PetscCall(DMPlexGetHeightStratum(plex[grid], 0, &cStart, &cEnd));
810:         PetscCall(DMGetLocalSection(plex[grid], &section));
811:         PetscCall(DMGetGlobalSection(plex[grid], &globalSection));
812:         PetscCall(PetscLogEventEnd(events[5], 0, 0, 0, 0));
813:         PetscCall(PetscLogEventBegin(events[6], 0, 0, 0, 0));
814:         for (PetscInt ej = cStart; ej < cEnd; ++ej) {
815:           const PetscScalar *elMat = &h_elem_mats(b_id, grid, ej - cStart, 0);
816:           PetscCall(DMPlexMatSetClosure(plex[grid], section, globalSection, B, ej, elMat, ADD_VALUES));
817:           if (grid == 0 && ej == -1) {
818:             const PetscInt loc_Nf = a_species_offset[grid + 1] - a_species_offset[grid], totDim = loc_Nf * Nb;
819:             int            d, f;
820:             PetscPrintf(PETSC_COMM_SELF, "Kokkos Element matrix %d/%d\n", 1, (int)a_numCells[grid]);
821:             for (d = 0; d < totDim; ++d) {
822:               for (f = 0; f < totDim; ++f) PetscPrintf(PETSC_COMM_SELF, " %12.5e", PetscRealPart(elMat[d * totDim + f]));
823:               PetscPrintf(PETSC_COMM_SELF, "\n");
824:             }
825:             exit(14);
826:           }
827:         }
828:         // move nest matrix to global JacP
829:         PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
830:         PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
831:         PetscCall(MatGetSize(B, &nloc, NULL));
832:         for (int i = 0; i < nloc; i++) {
833:           PetscCall(MatGetRow(B, i, &nzl, &cols, &vals));
834:           PetscCheck(nzl <= 1024, PetscObjectComm((PetscObject)B), PETSC_ERR_PLIB, "Row too big: %" PetscInt_FMT, nzl);
835:           for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset;
836:           row = i + moffset;
837:           PetscCall(MatSetValues(JacP, 1, &row, nzl, colbuf, vals, ADD_VALUES));
838:           PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals));
839:         }
840:         PetscCall(MatDestroy(&subJ[LAND_PACK_IDX(b_id, grid)]));
841:         PetscCall(PetscLogEventEnd(events[6], 0, 0, 0, 0));
842:       } // grids
843:     }
844:   #else
845:     SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "CPU assembly not supported");
846:   #endif
847:   }
848:   PetscFunctionReturn(PETSC_SUCCESS);
849: }
850: } // extern "C"
851: #endif