1 /* 2 Implements the Kokkos kernel 3 */ 4 #include <petscconf.h> 5 #include <petscvec_kokkos.hpp> 6 #include <petsc/private/dmpleximpl.h> /*I "petscdmplex.h" I*/ 7 #include <petsclandau.h> 8 #include <petscts.h> 9 10 #include <Kokkos_Core.hpp> 11 #include <cstdio> 12 typedef Kokkos::TeamPolicy<>::member_type team_member; 13 #include "../land_tensors.h" 14 #include <petscaijdevice.h> 15 16 namespace landau_inner_red { // namespace helps with name resolution in reduction identity 17 template< class ScalarType > 18 struct array_type { 19 ScalarType gg2[LANDAU_DIM]; 20 ScalarType gg3[LANDAU_DIM][LANDAU_DIM]; 21 22 KOKKOS_INLINE_FUNCTION // Default constructor - Initialize to 0's 23 array_type() { 24 for (int j = 0; j < LANDAU_DIM; j++) { 25 gg2[j] = 0; 26 for (int k = 0; k < LANDAU_DIM; k++) { 27 gg3[j][k] = 0; 28 } 29 } 30 } 31 KOKKOS_INLINE_FUNCTION // Copy Constructor 32 array_type(const array_type & rhs) { 33 for (int j = 0; j < LANDAU_DIM; j++) { 34 gg2[j] = rhs.gg2[j]; 35 for (int k = 0; k < LANDAU_DIM; k++) { 36 gg3[j][k] = rhs.gg3[j][k]; 37 } 38 } 39 } 40 KOKKOS_INLINE_FUNCTION // add operator 41 array_type& operator += (const array_type& src) 42 { 43 for (int j = 0; j < LANDAU_DIM; j++) { 44 gg2[j] += src.gg2[j]; 45 for (int k = 0; k < LANDAU_DIM; k++) { 46 gg3[j][k] += src.gg3[j][k]; 47 } 48 } 49 return *this; 50 } 51 KOKKOS_INLINE_FUNCTION // volatile add operator 52 void operator += (const volatile array_type& src) volatile 53 { 54 for (int j = 0; j < LANDAU_DIM; j++) { 55 gg2[j] += src.gg2[j]; 56 for (int k = 0; k < LANDAU_DIM; k++) { 57 gg3[j][k] += src.gg3[j][k]; 58 } 59 } 60 } 61 }; 62 typedef array_type<PetscReal> TensorValueType; // used to simplify code below 63 } 64 65 namespace Kokkos { //reduction identity must be defined in Kokkos namespace 66 template<> 67 struct reduction_identity< landau_inner_red::TensorValueType > { 68 KOKKOS_FORCEINLINE_FUNCTION static landau_inner_red::TensorValueType sum() { 69 return landau_inner_red::TensorValueType(); 70 } 71 }; 72 } 73 74 extern "C" { 75 PetscErrorCode LandauKokkosCreateMatMaps(P4estVertexMaps maps[], pointInterpolationP4est (*pointMaps)[LANDAU_MAX_Q_FACE], PetscInt Nf[], PetscInt Nq, PetscInt grid) 76 { 77 P4estVertexMaps h_maps; /* host container */ 78 const Kokkos::View<pointInterpolationP4est*[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_points ((pointInterpolationP4est*)pointMaps, maps[grid].num_reduced); 79 const Kokkos::View< LandauIdx*[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ], Kokkos::LayoutRight, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_gidx ((LandauIdx*)maps[grid].gIdx, maps[grid].num_elements); 80 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); 81 Kokkos::View<LandauIdx*[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ], Kokkos::LayoutRight> *d_gidx = new Kokkos::View<LandauIdx*[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ], Kokkos::LayoutRight>("gIdx", maps[grid].num_elements); 82 83 PetscFunctionBegin; 84 Kokkos::deep_copy (*d_gidx, h_gidx); 85 Kokkos::deep_copy (*d_points, h_points); 86 h_maps.num_elements = maps[grid].num_elements; 87 h_maps.num_face = maps[grid].num_face; 88 h_maps.num_reduced = maps[grid].num_reduced; 89 h_maps.deviceType = maps[grid].deviceType; 90 h_maps.numgrids = maps[grid].numgrids; 91 h_maps.Nf = Nf[grid]; 92 h_maps.Nq = Nq; 93 h_maps.c_maps = (pointInterpolationP4est (*)[LANDAU_MAX_Q_FACE]) d_points->data(); 94 maps[grid].vp1 = (void*)d_points; 95 h_maps.gIdx = (LandauIdx (*)[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ]) d_gidx->data(); 96 maps[grid].vp2 = (void*)d_gidx; 97 { 98 Kokkos::View<P4estVertexMaps, Kokkos::HostSpace> h_maps_k(&h_maps); 99 Kokkos::View<P4estVertexMaps> *d_maps_k = new Kokkos::View<P4estVertexMaps>(Kokkos::create_mirror(Kokkos::DefaultExecutionSpace::memory_space(),h_maps_k)); 100 Kokkos::deep_copy (*d_maps_k, h_maps_k); 101 maps[grid].d_self = d_maps_k->data(); 102 maps[grid].vp3 = (void*)d_maps_k; 103 } 104 PetscFunctionReturn(0); 105 } 106 PetscErrorCode LandauKokkosDestroyMatMaps(P4estVertexMaps maps[], PetscInt num_grids) 107 { 108 PetscFunctionBegin; 109 for (PetscInt grid=0;grid<num_grids;grid++) { 110 auto a = static_cast<Kokkos::View<pointInterpolationP4est*[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight>*>(maps[grid].vp1); 111 auto b = static_cast<Kokkos::View<LandauIdx*[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ], Kokkos::LayoutRight>*>(maps[grid].vp2); 112 auto c = static_cast<Kokkos::View<P4estVertexMaps*>*>(maps[grid].vp3); 113 delete a; delete b; delete c; 114 } 115 PetscFunctionReturn(0); 116 } 117 118 PetscErrorCode LandauKokkosStaticDataSet(DM plex, const PetscInt Nq, const PetscInt batch_sz, const PetscInt num_grids, 119 PetscInt a_numCells[], PetscInt a_species_offset[], PetscInt a_mat_offset[], 120 PetscReal a_nu_alpha[], PetscReal a_nu_beta[], PetscReal a_invMass[], PetscReal a_invJ[], 121 PetscReal a_x[], PetscReal a_y[], PetscReal a_z[], PetscReal a_w[], LandauStaticData *SData_d) 122 { 123 PetscReal *BB,*DD; 124 PetscErrorCode ierr; 125 PetscTabulation *Tf; 126 PetscInt dim; 127 PetscInt Nb=Nq,ip_offset[LANDAU_MAX_GRIDS+1],ipf_offset[LANDAU_MAX_GRIDS+1],elem_offset[LANDAU_MAX_GRIDS+1],nip,IPf_sz,Nftot; 128 PetscDS prob; 129 130 PetscFunctionBegin; 131 ierr = DMGetDimension(plex, &dim);CHKERRQ(ierr); 132 ierr = DMGetDS(plex, &prob);CHKERRQ(ierr); 133 PetscCheckFalse(LANDAU_DIM != dim,PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %D != LANDAU_DIM %d",dim,LANDAU_DIM); 134 ierr = PetscDSGetTabulation(prob, &Tf);CHKERRQ(ierr); 135 BB = Tf[0]->T[0]; DD = Tf[0]->T[1]; 136 ip_offset[0] = ipf_offset[0] = elem_offset[0] = 0; 137 nip = 0; 138 IPf_sz = 0; 139 for (PetscInt grid=0 ; grid<num_grids ; grid++) { 140 PetscInt nfloc = a_species_offset[grid+1] - a_species_offset[grid]; 141 elem_offset[grid+1] = elem_offset[grid] + a_numCells[grid]; 142 nip += a_numCells[grid]*Nq; 143 ip_offset[grid+1] = nip; 144 IPf_sz += Nq*nfloc*a_numCells[grid]; 145 ipf_offset[grid+1] = IPf_sz; 146 } 147 Nftot = a_species_offset[num_grids]; 148 ierr = PetscKokkosInitializeCheck();CHKERRQ(ierr); 149 { 150 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_alpha (a_nu_alpha, Nftot); 151 auto alpha = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("alpha", Nftot); 152 SData_d->alpha = static_cast<void*>(alpha); 153 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_beta (a_nu_beta, Nftot); 154 auto beta = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("beta", Nftot); 155 SData_d->beta = static_cast<void*>(beta); 156 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_invMass (a_invMass,Nftot); 157 auto invMass = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("invMass", Nftot); 158 SData_d->invMass = static_cast<void*>(invMass); 159 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_BB (BB,Nq*Nb); 160 auto B = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("B", Nq*Nb); 161 SData_d->B = static_cast<void*>(B); 162 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_DD (DD,Nq*Nb*dim); 163 auto D = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("D", Nq*Nb*dim); 164 SData_d->D = static_cast<void*>(D); 165 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_invJ (a_invJ, nip*dim*dim); 166 auto invJ = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("invJ", nip*dim*dim); 167 SData_d->invJ = static_cast<void*>(invJ); 168 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_x (a_x, nip); 169 auto x = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("x", nip); 170 SData_d->x = static_cast<void*>(x); 171 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_y (a_y, nip); 172 auto y = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("y", nip); 173 SData_d->y = static_cast<void*>(y); 174 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_w (a_w, nip); 175 auto w = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("w", nip); 176 SData_d->w = static_cast<void*>(w); 177 178 Kokkos::deep_copy (*alpha, h_alpha); 179 Kokkos::deep_copy (*beta, h_beta); 180 Kokkos::deep_copy (*invMass, h_invMass); 181 Kokkos::deep_copy (*B, h_BB); 182 Kokkos::deep_copy (*D, h_DD); 183 Kokkos::deep_copy (*invJ, h_invJ); 184 Kokkos::deep_copy (*x, h_x); 185 Kokkos::deep_copy (*y, h_y); 186 Kokkos::deep_copy (*w, h_w); 187 188 if (dim==3) { 189 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_z (a_z , dim==3 ? nip : 0); 190 auto z = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("z", nip); 191 SData_d->z = static_cast<void*>(z); 192 Kokkos::deep_copy (*z, h_z); 193 } else SData_d->z = NULL; 194 195 // 196 const Kokkos::View<PetscInt*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_NCells (a_numCells, num_grids); 197 auto nc = new Kokkos::View<PetscInt*, Kokkos::LayoutLeft> ("NCells",num_grids); 198 SData_d->NCells = static_cast<void*>(nc); 199 Kokkos::deep_copy (*nc, h_NCells); 200 201 const Kokkos::View<PetscInt*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_species_offset (a_species_offset, num_grids+1); 202 auto soff = new Kokkos::View<PetscInt*, Kokkos::LayoutLeft> ("species_offset",num_grids+1); 203 SData_d->species_offset = static_cast<void*>(soff); 204 Kokkos::deep_copy (*soff, h_species_offset); 205 206 const Kokkos::View<PetscInt*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_mat_offset (a_mat_offset, num_grids+1); 207 auto moff = new Kokkos::View<PetscInt*, Kokkos::LayoutLeft> ("mat_offset",num_grids+1); 208 SData_d->mat_offset = static_cast<void*>(moff); 209 Kokkos::deep_copy (*moff, h_mat_offset); 210 211 const Kokkos::View<PetscInt*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_ip_offset (ip_offset, num_grids+1); 212 auto ipoff = new Kokkos::View<PetscInt*, Kokkos::LayoutLeft> ("ip_offset",num_grids+1); 213 SData_d->ip_offset = static_cast<void*>(ipoff); 214 Kokkos::deep_copy (*ipoff, h_ip_offset); 215 216 const Kokkos::View<PetscInt*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_elem_offset (elem_offset, num_grids+1); 217 auto eoff = new Kokkos::View<PetscInt*, Kokkos::LayoutLeft> ("elem_offset",num_grids+1); 218 SData_d->elem_offset = static_cast<void*>(eoff); 219 Kokkos::deep_copy (*eoff, h_elem_offset); 220 221 const Kokkos::View<PetscInt*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_ipf_offset (ipf_offset, num_grids+1); 222 auto ipfoff = new Kokkos::View<PetscInt*, Kokkos::LayoutLeft> ("ipf_offset",num_grids+1); 223 SData_d->ipf_offset = static_cast<void*>(ipfoff); 224 Kokkos::deep_copy (*ipfoff, h_ipf_offset); 225 #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, no copy 226 auto ipfdf_data = new Kokkos::View<PetscReal***, Kokkos::LayoutLeft > ("fdf", batch_sz, dim+1, IPf_sz); 227 #else 228 auto ipfdf_data = new Kokkos::View<PetscReal***, Kokkos::LayoutRight > ("fdf",batch_sz, dim+1, IPf_sz); 229 #endif 230 SData_d->ipfdf_data = static_cast<void*>(ipfdf_data); 231 auto Eq_m = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("Eq_m",Nftot); // allocate but do not set, same for whole batch 232 SData_d->Eq_m = static_cast<void*>(Eq_m); 233 } 234 SData_d->maps = NULL; // not used 235 PetscFunctionReturn(0); 236 } 237 238 PetscErrorCode LandauKokkosStaticDataClear(LandauStaticData *SData_d) 239 { 240 PetscFunctionBegin; 241 if (SData_d->alpha) { 242 auto alpha = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->alpha); 243 delete alpha; 244 SData_d->alpha = NULL; 245 auto beta = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->beta); 246 delete beta; 247 auto invMass = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->invMass); 248 delete invMass; 249 auto B = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->B); 250 delete B; 251 auto D = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->D); 252 delete D; 253 auto invJ = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->invJ); 254 delete invJ; 255 auto x = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->x); 256 delete x; 257 auto y = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->y); 258 delete y; 259 if (SData_d->z) { 260 auto z = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->z); 261 delete z; 262 } 263 #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, no copy 264 auto z = static_cast<Kokkos::View<PetscReal***, Kokkos::LayoutLeft>*>(SData_d->ipfdf_data); 265 #else 266 auto z = static_cast<Kokkos::View<PetscReal***, Kokkos::LayoutRight>*>(SData_d->ipfdf_data); 267 #endif 268 delete z; 269 auto w = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->w); 270 delete w; 271 auto Eq_m = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->Eq_m); 272 delete Eq_m; 273 // offset 274 auto nc = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->NCells); 275 delete nc; 276 auto soff = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->species_offset); 277 delete soff; 278 auto moff = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->mat_offset); 279 delete moff; 280 auto ipoff = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->ip_offset); 281 delete ipoff; 282 auto eoff = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->elem_offset); 283 delete eoff; 284 auto ipfoff = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->ipf_offset); 285 delete ipfoff; 286 } 287 PetscFunctionReturn(0); 288 } 289 290 #define KOKKOS_SHARED_LEVEL 1 291 KOKKOS_INLINE_FUNCTION 292 PetscErrorCode landau_mat_assemble(PetscSplitCSRDataStructure d_mat, const PetscScalar Aij, const PetscInt f, const PetscInt g, const PetscInt Nb, 293 PetscInt moffset, const PetscInt elem, const PetscInt fieldA, const P4estVertexMaps *d_maps) 294 { 295 PetscInt idx,q,nr,nc,d; 296 const LandauIdx *const Idxs = &d_maps->gIdx[elem][fieldA][0]; 297 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}; 298 PetscInt rows[LANDAU_MAX_Q_FACE],cols[LANDAU_MAX_Q_FACE]; 299 idx = Idxs[f]; 300 if (idx >= 0) { 301 nr = 1; 302 rows[0] = idx; 303 row_scale[0] = 1.; 304 } else { 305 idx = -idx - 1; 306 for (q = 0, nr = 0; q < d_maps->num_face; q++, nr++) { 307 if (d_maps->c_maps[idx][q].gid < 0) break; 308 rows[q] = d_maps->c_maps[idx][q].gid; 309 row_scale[q] = d_maps->c_maps[idx][q].scale; 310 } 311 } 312 idx = Idxs[g]; 313 if (idx >= 0) { 314 nc = 1; 315 cols[0] = idx; 316 col_scale[0] = 1.; 317 } else { 318 idx = -idx - 1; 319 nc = d_maps->num_face; 320 for (q = 0, nc = 0; q < d_maps->num_face; q++, nc++) { 321 if (d_maps->c_maps[idx][q].gid < 0) break; 322 cols[q] = d_maps->c_maps[idx][q].gid; 323 col_scale[q] = d_maps->c_maps[idx][q].scale; 324 } 325 } 326 for (q = 0; q < nr; q++) rows[q] = rows[q] + moffset; 327 for (q = 0; q < nc; q++) cols[q] = cols[q] + moffset; 328 for (q = 0; q < nr; q++) { 329 for (d = 0; d < nc; d++) { 330 vals[q*nc + d] = row_scale[q]*col_scale[d]*Aij; 331 } 332 } 333 MatSetValuesDevice(d_mat,nr,rows,nc,cols,vals,ADD_VALUES); 334 335 return 0; 336 } 337 338 PetscErrorCode LandauKokkosJacobian(DM plex[], const PetscInt Nq, const PetscInt batch_sz, const PetscInt num_grids, const PetscInt a_numCells[], PetscReal a_Eq_m[], PetscScalar a_elem_closure[], 339 const PetscScalar a_xarray[], const LandauStaticData *SData_d, const PetscReal shift, 340 const PetscLogEvent events[], const PetscInt a_mat_offset[], const PetscInt a_species_offset[], Mat subJ[], Mat JacP) 341 { 342 using scr_mem_t = Kokkos::DefaultExecutionSpace::scratch_memory_space; 343 using real2_scr_t = Kokkos::View<PetscScalar**, Kokkos::LayoutRight, scr_mem_t>; 344 using g2_scr_t = Kokkos::View<PetscReal***, Kokkos::LayoutRight, scr_mem_t>; 345 using g3_scr_t = Kokkos::View<PetscReal****, Kokkos::LayoutRight, scr_mem_t>; 346 PetscErrorCode ierr; 347 PetscInt Nb=Nq,dim,num_cells_max,Nf_max,num_cells_batch; 348 int nfaces=0; 349 LandauCtx *ctx; 350 PetscReal *d_Eq_m=NULL; 351 PetscScalar *d_vertex_f=NULL; 352 P4estVertexMaps *maps[LANDAU_MAX_GRIDS]; // this gets captured 353 PetscSplitCSRDataStructure d_mat; 354 PetscContainer container; 355 const int conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp==0) ? Nq : 1; 356 auto d_alpha_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->alpha); //static data 357 const PetscReal *d_alpha = d_alpha_k->data(); 358 const PetscInt Nftot = d_alpha_k->size(); // total number of species 359 auto d_beta_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->beta); 360 const PetscReal *d_beta = d_beta_k->data(); 361 auto d_invMass_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->invMass); 362 const PetscReal *d_invMass = d_invMass_k->data(); 363 auto d_B_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->B); 364 const PetscReal *d_BB = d_B_k->data(); 365 auto d_D_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->D); 366 const PetscReal *d_DD = d_D_k->data(); 367 auto d_invJ_k = *static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->invJ); // use Kokkos vector in kernels 368 auto d_x_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->x); //static data 369 const PetscReal *d_x = d_x_k->data(); 370 auto d_y_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->y); //static data 371 const PetscReal *d_y = d_y_k->data(); 372 auto d_z_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->z); //static data 373 const PetscReal *d_z = (LANDAU_DIM==3) ? d_z_k->data() : NULL; 374 auto d_w_k = *static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->w); //static data 375 const PetscReal *d_w = d_w_k.data(); 376 // grid offsets - single vertex grid data 377 auto d_numCells_k = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->NCells); 378 const PetscInt *d_numCells = d_numCells_k->data(); 379 auto d_species_offset_k = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->species_offset); 380 const PetscInt *d_species_offset = d_species_offset_k->data(); 381 auto d_mat_offset_k = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->mat_offset); 382 const PetscInt *d_mat_offset = d_mat_offset_k->data(); 383 auto d_ip_offset_k = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->ip_offset); 384 const PetscInt *d_ip_offset = d_ip_offset_k->data(); 385 auto d_ipf_offset_k = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->ipf_offset); 386 const PetscInt *d_ipf_offset = d_ipf_offset_k->data(); 387 auto d_elem_offset_k = static_cast<Kokkos::View<PetscInt*, Kokkos::LayoutLeft>*>(SData_d->elem_offset); 388 const PetscInt *d_elem_offset = d_elem_offset_k->data(); 389 #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, including batched vertices 390 Kokkos::View<PetscReal***, Kokkos::LayoutLeft > d_fdf_k = *static_cast<Kokkos::View<PetscReal***, Kokkos::LayoutLeft >*>(SData_d->ipfdf_data); 391 #else 392 Kokkos::View<PetscReal***, Kokkos::LayoutRight > d_fdf_k = *static_cast<Kokkos::View<PetscReal***, Kokkos::LayoutRight >*>(SData_d->ipfdf_data); 393 #endif 394 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 395 396 PetscFunctionBegin; 397 ierr = PetscLogEventBegin(events[3],0,0,0,0);CHKERRQ(ierr); 398 ierr = DMGetApplicationContext(plex[0], &ctx);CHKERRQ(ierr); 399 PetscCheckFalse(!ctx,PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); 400 ierr = DMGetDimension(plex[0], &dim);CHKERRQ(ierr); 401 PetscCheckFalse(LANDAU_DIM != dim,PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %D != LANDAU_DIM %d",dim,LANDAU_DIM); 402 if (ctx->gpu_assembly) { 403 ierr = PetscObjectQuery((PetscObject) JacP, "assembly_maps", (PetscObject *) &container);CHKERRQ(ierr); 404 if (container) { // not here first call 405 P4estVertexMaps *h_maps=NULL; 406 ierr = PetscContainerGetPointer(container, (void **) &h_maps);CHKERRQ(ierr); 407 for (PetscInt grid=0 ; grid<num_grids ; grid++) { 408 if (h_maps[grid].d_self) { 409 maps[grid] = h_maps[grid].d_self; 410 nfaces = h_maps[grid].num_face; // nface=0 for CPU assembly 411 } else { 412 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "GPU assembly but no metadata in container"); 413 } 414 } 415 // this does the setup the first time called 416 ierr = MatKokkosGetDeviceMatWrite(JacP,&d_mat);CHKERRQ(ierr); 417 } else { // kernel output - first call assembled on device 418 for (PetscInt grid=0 ; grid<num_grids ; grid++) maps[grid] = NULL; 419 nfaces = 0; 420 d_mat = NULL; 421 } 422 } else { 423 for (PetscInt grid=0 ; grid<num_grids ; grid++) maps[grid] = NULL; 424 nfaces = 0; 425 d_mat = NULL; 426 container = NULL; 427 } 428 num_cells_batch = Nf_max = num_cells_max = 0; 429 for (PetscInt grid=0 ; grid<num_grids ; grid++) { 430 int Nfloc = a_species_offset[grid+1] - a_species_offset[grid]; 431 if (Nfloc > Nf_max) Nf_max = Nfloc; 432 if (a_numCells[grid] > num_cells_max) num_cells_max = a_numCells[grid]; 433 num_cells_batch += a_numCells[grid]; // we don't have a host element offset here (but in ctx) 434 } 435 const PetscInt totDim_max = Nf_max*Nq, elem_mat_size_max = totDim_max*totDim_max; 436 const PetscInt elem_mat_num_cells_max_grid = container ? 0 : num_cells_max; 437 Kokkos::View<PetscScalar****, Kokkos::LayoutRight> d_elem_mats("element matrices", batch_sz, num_grids, elem_mat_num_cells_max_grid, elem_mat_size_max); // first call have large set of global (Jac) element matrices 438 const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_Eq_m_k (a_Eq_m, Nftot); 439 if (a_elem_closure || a_xarray) { 440 Kokkos::deep_copy (*d_Eq_m_k, h_Eq_m_k); 441 d_Eq_m = d_Eq_m_k->data(); 442 } else d_Eq_m = NULL; 443 ierr = PetscKokkosInitializeCheck();CHKERRQ(ierr); 444 ierr = PetscLogEventEnd(events[3],0,0,0,0);CHKERRQ(ierr); 445 if (a_elem_closure || a_xarray) { // Jacobian, create f & df 446 Kokkos::View<PetscScalar*, Kokkos::LayoutLeft> *d_vertex_f_k = NULL; 447 ierr = PetscLogEventBegin(events[1],0,0,0,0);CHKERRQ(ierr); 448 if (a_elem_closure) { 449 PetscInt closure_sz = 0; // argh, don't have this on the host!!! 450 for (PetscInt grid=0 ; grid<num_grids ; grid++) { 451 PetscInt nfloc = a_species_offset[grid+1] - a_species_offset[grid]; 452 closure_sz += Nq*nfloc*a_numCells[grid]; 453 } 454 closure_sz *= batch_sz; 455 d_vertex_f_k = new Kokkos::View<PetscScalar*, Kokkos::LayoutLeft> ("closure",closure_sz); 456 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 457 Kokkos::deep_copy (*d_vertex_f_k, h_closure_k); 458 d_vertex_f = d_vertex_f_k->data(); 459 } else { 460 d_vertex_f = (PetscScalar*)a_xarray; 461 } 462 ierr = PetscLogEventEnd(events[1],0,0,0,0);CHKERRQ(ierr); 463 ierr = PetscLogEventBegin(events[8],0,0,0,0);CHKERRQ(ierr); 464 ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr); 465 466 const int scr_bytes_fdf = real2_scr_t::shmem_size(Nf_max,Nb); 467 ierr = PetscInfo(plex[0], "Jacobian shared memory size: %d bytes in level %d num cells total=%D team size=%D #face=%D Nf_max=%D\n",scr_bytes_fdf,KOKKOS_SHARED_LEVEL,num_cells_batch*batch_sz,team_size,nfaces,Nf_max);CHKERRQ(ierr); 468 Kokkos::parallel_for("f, df", Kokkos::TeamPolicy<>(num_cells_batch*batch_sz, team_size, /* Kokkos::AUTO */ 16).set_scratch_size(KOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes_fdf)), KOKKOS_LAMBDA (const team_member team) { 469 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]; 470 // find my grid 471 PetscInt grid = 0; 472 while (b_elem_idx >= d_elem_offset[grid+1]) grid++; 473 { 474 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]; 475 const PetscInt moffset = LAND_MOFFSET(b_id,grid,batch_sz,num_grids,d_mat_offset); 476 { 477 real2_scr_t s_coef_k(team.team_scratch(KOKKOS_SHARED_LEVEL),Nf_max,Nb); 478 PetscScalar *coef; 479 const PetscReal *invJe = &d_invJ_k((d_ip_offset[grid] + loc_elem*Nq)*dim*dim); 480 // un pack IPData 481 if (!maps[grid]) { 482 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 483 } else { 484 coef = s_coef_k.data(); 485 Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,(int)loc_Nf), [=] (int f) { 486 //for (int f = 0; f < loc_Nf; ++f) { 487 Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,(int)Nb), [=] (int b) { 488 //for (int b = 0; b < Nb; ++b) { 489 LandauIdx idx = maps[grid]->gIdx[loc_elem][f][b]; 490 if (idx >= 0) { 491 coef[f*Nb+b] = d_vertex_f[idx+moffset]; // xarray data, not IP, need raw array to deal with CPU assemble case (not used) 492 } else { 493 idx = -idx - 1; 494 coef[f*Nb+b] = 0; 495 for (int q = 0; q < maps[grid]->num_face; q++) { 496 PetscInt id = maps[grid]->c_maps[idx][q].gid; 497 PetscScalar scale = maps[grid]->c_maps[idx][q].scale; 498 if (id >= 0) coef[f*Nb+b] += scale*d_vertex_f[id+moffset]; 499 } 500 } 501 }); 502 }); 503 } 504 team.team_barrier(); 505 Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nq), [=] (int myQi) { 506 const PetscReal *const invJ = &invJe[myQi*dim*dim]; // b_elem_idx: batch element index 507 const PetscReal *Bq = &d_BB[myQi*Nb], *Dq = &d_DD[myQi*Nb*dim]; 508 Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,(int)loc_Nf), [=] (int f) { 509 PetscInt b, e, d; 510 PetscReal refSpaceDer[LANDAU_DIM]; 511 const PetscInt idx = d_ipf_offset[grid] + f*loc_nip + loc_elem*Nq + myQi; 512 d_fdf_k(b_id,0,idx) = 0.0; 513 for (d = 0; d < LANDAU_DIM; ++d) refSpaceDer[d] = 0.0; 514 for (b = 0; b < Nb; ++b) { 515 d_fdf_k(b_id,0,idx) += Bq[b]*PetscRealPart(coef[f*Nb+b]); 516 for (d = 0; d < dim; ++d) refSpaceDer[d] += Dq[b*dim+d]*PetscRealPart(coef[f*Nb+b]); 517 } 518 for (d = 0; d < dim; ++d) { 519 for (e = 0, d_fdf_k(b_id,d+1,idx) = 0.0; e < dim; ++e) { 520 d_fdf_k(b_id,d+1,idx) += invJ[e*dim+d]*refSpaceDer[e]; 521 } 522 } 523 }); // f 524 }); // myQi 525 } 526 team.team_barrier(); 527 } // 'grid' scope 528 }); // global elems - fdf 529 Kokkos::fence(); 530 ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr); // is this a fence? 531 ierr = PetscLogEventEnd(events[8],0,0,0,0);CHKERRQ(ierr); 532 // Jacobian 533 auto jac_lambda = KOKKOS_LAMBDA (const team_member team) { 534 const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank()%b_Nelem, b_id = team.league_rank()/b_Nelem; 535 // find my grid 536 PetscInt grid = 0; 537 while (b_elem_idx >= d_elem_offset[grid+1]) grid++; 538 { 539 const PetscInt loc_Nf = d_species_offset[grid+1]-d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid]; 540 const PetscInt moffset = LAND_MOFFSET(b_id,grid,batch_sz,num_grids,d_mat_offset); 541 const PetscInt f_off = d_species_offset[grid], totDim = loc_Nf*Nq; 542 g2_scr_t g2(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,loc_Nf,Nq); 543 g3_scr_t g3(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,dim,loc_Nf,Nq); 544 g2_scr_t gg2(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,loc_Nf,Nq); 545 g3_scr_t gg3(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,dim,loc_Nf,Nq); 546 // get g2[] & g3[] 547 Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nq), [=] (int myQi) { 548 using Kokkos::parallel_reduce; 549 const PetscInt jpidx_glb = d_ip_offset[grid] + loc_elem * Nq + myQi; 550 const PetscReal *invJ = &d_invJ_k(jpidx_glb*dim*dim); 551 const PetscReal vj[3] = {d_x[jpidx_glb], d_y[jpidx_glb], d_z ? d_z[jpidx_glb] : 0}, wj = d_w[jpidx_glb]; 552 landau_inner_red::TensorValueType gg_temp; // reduce on part of gg2 and g33 for IP jpidx_g 553 Kokkos::parallel_reduce(Kokkos::ThreadVectorRange (team, (int)d_ip_offset[num_grids]), [=] (const int& ipidx, landau_inner_red::TensorValueType & ggg) { 554 const PetscReal wi = d_w[ipidx], x = d_x[ipidx], y = d_y[ipidx]; 555 PetscReal temp1[3] = {0, 0, 0}, temp2 = 0; 556 PetscInt fieldA,d2,d3,f_off_r,grid_r,ipidx_g,nip_loc_r,loc_Nf_r; 557 #if LANDAU_DIM==2 558 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.; 559 LandauTensor2D(vj, x, y, Ud, Uk, mask); 560 #else 561 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.; 562 LandauTensor3D(vj, x, y, z, U, mask); 563 #endif 564 grid_r = 0; 565 while (ipidx >= d_ip_offset[grid_r+1]) grid_r++; // yuck search for grid 566 f_off_r = d_species_offset[grid_r]; 567 ipidx_g = ipidx - d_ip_offset[grid_r]; 568 nip_loc_r = d_numCells[grid_r]*Nq; 569 loc_Nf_r = d_species_offset[grid_r+1] - d_species_offset[grid_r]; 570 for (fieldA = 0; fieldA < loc_Nf_r; ++fieldA) { 571 const PetscInt idx = d_ipf_offset[grid_r] + fieldA*nip_loc_r + ipidx_g; 572 temp1[0] += d_fdf_k(b_id,1,idx)*d_beta[fieldA+f_off_r]*d_invMass[fieldA+f_off_r]; 573 temp1[1] += d_fdf_k(b_id,2,idx)*d_beta[fieldA+f_off_r]*d_invMass[fieldA+f_off_r]; 574 #if LANDAU_DIM==3 575 temp1[2] += d_fdf_k(b_id,3,idx)*d_beta[fieldA+f_off_r]*d_invMass[fieldA+f_off_r]; 576 #endif 577 temp2 += d_fdf_k(b_id,0,idx)*d_beta[fieldA+f_off_r]; 578 } 579 temp1[0] *= wi; 580 temp1[1] *= wi; 581 #if LANDAU_DIM==3 582 temp1[2] *= wi; 583 #endif 584 temp2 *= wi; 585 #if LANDAU_DIM==2 586 for (d2 = 0; d2 < 2; d2++) { 587 for (d3 = 0; d3 < 2; ++d3) { 588 /* K = U * grad(f): g2=e: i,A */ 589 ggg.gg2[d2] += Uk[d2][d3]*temp1[d3]; 590 /* D = -U * (I \kron (fx)): g3=f: i,j,A */ 591 ggg.gg3[d2][d3] += Ud[d2][d3]*temp2; 592 } 593 } 594 #else 595 for (d2 = 0; d2 < 3; ++d2) { 596 for (d3 = 0; d3 < 3; ++d3) { 597 /* K = U * grad(f): g2 = e: i,A */ 598 ggg.gg2[d2] += U[d2][d3]*temp1[d3]; 599 /* D = -U * (I \kron (fx)): g3 = f: i,j,A */ 600 ggg.gg3[d2][d3] += U[d2][d3]*temp2; 601 } 602 } 603 #endif 604 }, Kokkos::Sum<landau_inner_red::TensorValueType>(gg_temp)); 605 // add alpha and put in gg2/3 606 Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)loc_Nf), [&] (const int& fieldA) { 607 PetscInt d2,d3; 608 for (d2 = 0; d2 < dim; d2++) { 609 gg2(d2,fieldA,myQi) = gg_temp.gg2[d2]*d_alpha[fieldA+f_off]; 610 for (d3 = 0; d3 < dim; d3++) { 611 gg3(d2,d3,fieldA,myQi) = -gg_temp.gg3[d2][d3]*d_alpha[fieldA+f_off]*d_invMass[fieldA+f_off]; 612 } 613 } 614 }); 615 /* add electric field term once per IP */ 616 Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)loc_Nf), [&] (const int& fieldA) { 617 gg2(dim-1,fieldA,myQi) += d_Eq_m[fieldA+f_off]; 618 }); 619 Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)loc_Nf), [=] (const int& fieldA) { 620 int d,d2,d3,dp; 621 /* Jacobian transform - g2, g3 - per thread (2D) */ 622 for (d = 0; d < dim; ++d) { 623 g2(d,fieldA,myQi) = 0; 624 for (d2 = 0; d2 < dim; ++d2) { 625 g2(d,fieldA,myQi) += invJ[d*dim+d2]*gg2(d2,fieldA,myQi); 626 g3(d,d2,fieldA,myQi) = 0; 627 for (d3 = 0; d3 < dim; ++d3) { 628 for (dp = 0; dp < dim; ++dp) { 629 g3(d,d2,fieldA,myQi) += invJ[d*dim + d3]*gg3(d3,dp,fieldA,myQi)*invJ[d2*dim + dp]; 630 } 631 } 632 g3(d,d2,fieldA,myQi) *= wj; 633 } 634 g2(d,fieldA,myQi) *= wj; 635 } 636 }); 637 }); // Nq 638 team.team_barrier(); 639 { /* assemble */ 640 for (PetscInt fieldA = 0; fieldA < loc_Nf; fieldA++) { 641 /* assemble */ 642 Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) { 643 Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) { 644 PetscScalar t = 0; 645 for (int qj = 0 ; qj < Nq ; qj++) { // look at others integration points 646 const PetscReal *BJq = &d_BB[qj*Nb], *DIq = &d_DD[qj*Nb*dim]; 647 for (int d = 0; d < dim; ++d) { 648 t += DIq[f*dim+d]*g2(d,fieldA,qj)*BJq[g]; 649 for (int d2 = 0; d2 < dim; ++d2) { 650 t += DIq[f*dim + d]*g3(d,d2,fieldA,qj)*DIq[g*dim + d2]; 651 } 652 } 653 } 654 if (elem_mat_num_cells_max_grid) { // CPU assembly 655 const PetscInt fOff = (fieldA*Nb + f)*totDim + fieldA*Nb + g; 656 d_elem_mats(b_id,grid,loc_elem,fOff) = t; 657 } else { 658 landau_mat_assemble (d_mat, t, f, g, Nb, moffset, loc_elem, fieldA, maps[grid]); 659 } 660 }); 661 }); 662 } 663 } 664 } // scope with 'grid' 665 }; 666 ierr = PetscLogEventBegin(events[4],0,0,0,0);CHKERRQ(ierr); 667 ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr); 668 const int scr_bytes = 2*(g2_scr_t::shmem_size(dim,Nf_max,Nq) + g3_scr_t::shmem_size(dim,dim,Nf_max,Nq)); 669 Kokkos::parallel_for("Jacobian", Kokkos::TeamPolicy<Kokkos::LaunchBounds<512,1>>(num_cells_batch*batch_sz, team_size, /* Kokkos::AUTO */ 16).set_scratch_size(KOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes)), jac_lambda); 670 ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr); 671 ierr = PetscLogEventEnd(events[4],0,0,0,0);CHKERRQ(ierr); 672 if (d_vertex_f_k) delete d_vertex_f_k; 673 } else { // mass 674 ierr = PetscLogEventBegin(events[16],0,0,0,0);CHKERRQ(ierr); 675 ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr); 676 ierr = PetscInfo(plex[0], "Mass conc=%D team size=%D #face=%D Nb=%D\n",conc,team_size,nfaces,Nb);CHKERRQ(ierr); 677 Kokkos::parallel_for("Mass", Kokkos::TeamPolicy<>(num_cells_batch*batch_sz, team_size, /* Kokkos::AUTO */ 16), KOKKOS_LAMBDA (const team_member team) { 678 const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank()%b_Nelem, b_id = team.league_rank()/b_Nelem; 679 // find my grid 680 PetscInt grid = 0; 681 while (b_elem_idx >= d_elem_offset[grid+1]) grid++; 682 { 683 const PetscInt loc_Nf = d_species_offset[grid+1]-d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid], totDim = loc_Nf*Nq, jpidx_0 = d_ip_offset[grid] + loc_elem * Nq; 684 const PetscInt moffset = LAND_MOFFSET(b_id,grid,batch_sz,num_grids,d_mat_offset); 685 for (int fieldA = 0; fieldA < loc_Nf; fieldA++) { 686 /* assemble */ 687 Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) { 688 Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) { 689 PetscScalar t = 0; 690 for (int qj = 0 ; qj < Nq ; qj++) { // look at others integration points 691 const PetscReal *BJq = &d_BB[qj*Nb]; 692 const PetscInt jpidx_glb = jpidx_0 + qj; 693 if (dim==2) { 694 t += BJq[f] * d_w_k(jpidx_glb) * shift * BJq[g] * 2. * PETSC_PI; 695 } else { 696 t += BJq[f] * d_w_k(jpidx_glb) * shift * BJq[g]; 697 } 698 } 699 if (elem_mat_num_cells_max_grid) { 700 const PetscInt fOff = (fieldA*Nb + f)*totDim + fieldA*Nb + g; 701 d_elem_mats(b_id,grid,loc_elem,fOff) = t; 702 } else { 703 landau_mat_assemble (d_mat, t, f, g, Nb, moffset, loc_elem, fieldA, maps[grid]); 704 } 705 }); 706 }); 707 } 708 } 709 }); 710 ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr); 711 ierr = PetscLogEventEnd(events[16],0,0,0,0);CHKERRQ(ierr); 712 } 713 Kokkos::fence(); 714 if (elem_mat_num_cells_max_grid) { // CPU assembly 715 Kokkos::View<PetscScalar****, Kokkos::LayoutRight>::HostMirror h_elem_mats = Kokkos::create_mirror_view(d_elem_mats); 716 Kokkos::deep_copy (h_elem_mats, d_elem_mats); 717 PetscCheckFalse(container,PETSC_COMM_SELF, PETSC_ERR_PLIB, "?????"); 718 for (PetscInt b_id = 0 ; b_id < batch_sz ; b_id++) { // OpenMP (once) 719 for (PetscInt grid=0 ; grid<num_grids ; grid++) { 720 PetscSection section, globalSection; 721 PetscInt cStart,cEnd; 722 Mat B = subJ[ LAND_PACK_IDX(b_id,grid) ]; 723 PetscInt moffset = LAND_MOFFSET(b_id,grid,batch_sz,num_grids,a_mat_offset), nloc, nzl, colbuf[1024], row; 724 const PetscInt *cols; 725 const PetscScalar *vals; 726 ierr = PetscLogEventBegin(events[5],0,0,0,0);CHKERRQ(ierr); 727 ierr = DMPlexGetHeightStratum(plex[grid],0,&cStart,&cEnd);CHKERRQ(ierr); 728 ierr = DMGetLocalSection(plex[grid], §ion);CHKERRQ(ierr); 729 ierr = DMGetGlobalSection(plex[grid], &globalSection);CHKERRQ(ierr); 730 ierr = PetscLogEventEnd(events[5],0,0,0,0);CHKERRQ(ierr); 731 ierr = PetscLogEventBegin(events[6],0,0,0,0);CHKERRQ(ierr); 732 for (PetscInt ej = cStart ; ej < cEnd; ++ej) { 733 const PetscScalar *elMat = &h_elem_mats(b_id,grid,ej-cStart,0); 734 ierr = DMPlexMatSetClosure(plex[grid], section, globalSection, B, ej, elMat, ADD_VALUES);CHKERRQ(ierr); 735 if (grid==0 && ej==-1) { 736 const PetscInt loc_Nf = a_species_offset[grid+1]-a_species_offset[grid], totDim = loc_Nf*Nq; 737 int d,f; 738 PetscPrintf(PETSC_COMM_SELF,"Kokkos Element matrix %d/%d\n",1,(int)a_numCells[grid]); 739 for (d = 0; d < totDim; ++d){ 740 for (f = 0; f < totDim; ++f) PetscPrintf(PETSC_COMM_SELF," %12.5e", PetscRealPart(elMat[d*totDim + f])); 741 PetscPrintf(PETSC_COMM_SELF,"\n"); 742 } 743 exit(14); 744 } 745 } 746 // move nest matrix to global JacP 747 ierr = MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 748 ierr = MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 749 ierr = MatGetSize(B, &nloc, NULL);CHKERRQ(ierr); 750 for (int i=0 ; i<nloc ; i++) { 751 ierr = MatGetRow(B,i,&nzl,&cols,&vals);CHKERRQ(ierr); 752 PetscCheckFalse(nzl>1024,PetscObjectComm((PetscObject) B), PETSC_ERR_PLIB, "Row too big: %D",nzl); 753 for (int j=0; j<nzl; j++) colbuf[j] = cols[j] + moffset; 754 row = i + moffset; 755 ierr = MatSetValues(JacP,1,&row,nzl,colbuf,vals,ADD_VALUES);CHKERRQ(ierr); 756 ierr = MatRestoreRow(B,i,&nzl,&cols,&vals);CHKERRQ(ierr); 757 } 758 ierr = MatDestroy(&subJ[ LAND_PACK_IDX(b_id,grid) ]);CHKERRQ(ierr); 759 ierr = PetscLogEventEnd(events[6],0,0,0,0);CHKERRQ(ierr); 760 } // grids 761 } 762 } 763 PetscFunctionReturn(0); 764 } 765 } // extern "C" 766