/* Implements the Kokkos kernel */ #include #include #include /*I "petscdmplex.h" I*/ #include #include #include #include typedef Kokkos::TeamPolicy<>::member_type team_member; #include "../land_tensors.h" #include namespace landau_inner_red { // namespace helps with name resolution in reduction identity template< class ScalarType > struct array_type { ScalarType gg2[LANDAU_DIM]; ScalarType gg3[LANDAU_DIM][LANDAU_DIM]; KOKKOS_INLINE_FUNCTION // Default constructor - Initialize to 0's array_type() { for (int j = 0; j < LANDAU_DIM; j++) { gg2[j] = 0; for (int k = 0; k < LANDAU_DIM; k++) { gg3[j][k] = 0; } } } KOKKOS_INLINE_FUNCTION // Copy Constructor array_type(const array_type & rhs) { for (int j = 0; j < LANDAU_DIM; j++) { gg2[j] = rhs.gg2[j]; for (int k = 0; k < LANDAU_DIM; k++) { gg3[j][k] = rhs.gg3[j][k]; } } } KOKKOS_INLINE_FUNCTION // add operator array_type& operator += (const array_type& src) { for (int j = 0; j < LANDAU_DIM; j++) { gg2[j] += src.gg2[j]; for (int k = 0; k < LANDAU_DIM; k++) { gg3[j][k] += src.gg3[j][k]; } } return *this; } KOKKOS_INLINE_FUNCTION // volatile add operator void operator += (const volatile array_type& src) volatile { for (int j = 0; j < LANDAU_DIM; j++) { gg2[j] += src.gg2[j]; for (int k = 0; k < LANDAU_DIM; k++) { gg3[j][k] += src.gg3[j][k]; } } } }; typedef array_type TensorValueType; // used to simplify code below } namespace Kokkos { //reduction identity must be defined in Kokkos namespace template<> struct reduction_identity< landau_inner_red::TensorValueType > { KOKKOS_FORCEINLINE_FUNCTION static landau_inner_red::TensorValueType sum() { return landau_inner_red::TensorValueType(); } }; } extern "C" { PetscErrorCode LandauKokkosCreateMatMaps(P4estVertexMaps maps[], pointInterpolationP4est (*pointMaps)[LANDAU_MAX_Q_FACE], PetscInt Nf[], PetscInt Nq, PetscInt grid) { P4estVertexMaps h_maps; /* host container */ const Kokkos::View > h_points ((pointInterpolationP4est*)pointMaps, maps[grid].num_reduced); const Kokkos::View< LandauIdx*[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ], Kokkos::LayoutRight, Kokkos::HostSpace, Kokkos::MemoryTraits > h_gidx ((LandauIdx*)maps[grid].gIdx, maps[grid].num_elements); Kokkos::View *d_points = new Kokkos::View("points", maps[grid].num_reduced); Kokkos::View *d_gidx = new Kokkos::View("gIdx", maps[grid].num_elements); PetscFunctionBegin; Kokkos::deep_copy (*d_gidx, h_gidx); Kokkos::deep_copy (*d_points, h_points); h_maps.num_elements = maps[grid].num_elements; h_maps.num_face = maps[grid].num_face; h_maps.num_reduced = maps[grid].num_reduced; h_maps.deviceType = maps[grid].deviceType; h_maps.numgrids = maps[grid].numgrids; h_maps.Nf = Nf[grid]; h_maps.Nq = Nq; h_maps.c_maps = (pointInterpolationP4est (*)[LANDAU_MAX_Q_FACE]) d_points->data(); maps[grid].vp1 = (void*)d_points; h_maps.gIdx = (LandauIdx (*)[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ]) d_gidx->data(); maps[grid].vp2 = (void*)d_gidx; { Kokkos::View h_maps_k(&h_maps); Kokkos::View *d_maps_k = new Kokkos::View(Kokkos::create_mirror(Kokkos::DefaultExecutionSpace::memory_space(),h_maps_k)); Kokkos::deep_copy (*d_maps_k, h_maps_k); maps[grid].d_self = d_maps_k->data(); maps[grid].vp3 = (void*)d_maps_k; } PetscFunctionReturn(0); } PetscErrorCode LandauKokkosDestroyMatMaps(P4estVertexMaps maps[], PetscInt num_grids) { PetscFunctionBegin; for (PetscInt grid=0;grid*>(maps[grid].vp1); auto b = static_cast*>(maps[grid].vp2); auto c = static_cast*>(maps[grid].vp3); delete a; delete b; delete c; } PetscFunctionReturn(0); } PetscErrorCode LandauKokkosStaticDataSet(DM plex, const PetscInt Nq, 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_invJ[], PetscReal a_x[], PetscReal a_y[], PetscReal a_z[], PetscReal a_w[], LandauStaticData *SData_d) { PetscReal *BB,*DD; PetscErrorCode ierr; PetscTabulation *Tf; PetscInt dim; 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; PetscDS prob; PetscFunctionBegin; ierr = DMGetDimension(plex, &dim);CHKERRQ(ierr); ierr = DMGetDS(plex, &prob);CHKERRQ(ierr); if (LANDAU_DIM != dim) SETERRQ2(PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %D != LANDAU_DIM %d",dim,LANDAU_DIM); ierr = PetscDSGetTabulation(prob, &Tf);CHKERRQ(ierr); BB = Tf[0]->T[0]; DD = Tf[0]->T[1]; ip_offset[0] = ipf_offset[0] = elem_offset[0] = 0; nip = 0; IPf_sz = 0; for (PetscInt grid=0 ; grid > h_alpha (a_nu_alpha, Nftot); auto alpha = new Kokkos::View ("alpha", Nftot); SData_d->alpha = static_cast(alpha); const Kokkos::View > h_beta (a_nu_beta, Nftot); auto beta = new Kokkos::View ("beta", Nftot); SData_d->beta = static_cast(beta); const Kokkos::View > h_invMass (a_invMass,Nftot); auto invMass = new Kokkos::View ("invMass", Nftot); SData_d->invMass = static_cast(invMass); const Kokkos::View > h_BB (BB,Nq*Nb); auto B = new Kokkos::View ("B", Nq*Nb); SData_d->B = static_cast(B); const Kokkos::View > h_DD (DD,Nq*Nb*dim); auto D = new Kokkos::View ("D", Nq*Nb*dim); SData_d->D = static_cast(D); const Kokkos::View > h_invJ (a_invJ, nip*dim*dim); auto invJ = new Kokkos::View ("invJ", nip*dim*dim); SData_d->invJ = static_cast(invJ); const Kokkos::View > h_x (a_x, nip); auto x = new Kokkos::View ("x", nip); SData_d->x = static_cast(x); const Kokkos::View > h_y (a_y, nip); auto y = new Kokkos::View ("y", nip); SData_d->y = static_cast(y); const Kokkos::View > h_w (a_w, nip); auto w = new Kokkos::View ("w", nip); SData_d->w = static_cast(w); Kokkos::deep_copy (*alpha, h_alpha); Kokkos::deep_copy (*beta, h_beta); Kokkos::deep_copy (*invMass, h_invMass); Kokkos::deep_copy (*B, h_BB); Kokkos::deep_copy (*D, h_DD); Kokkos::deep_copy (*invJ, h_invJ); Kokkos::deep_copy (*x, h_x); Kokkos::deep_copy (*y, h_y); Kokkos::deep_copy (*w, h_w); if (dim==3) { const Kokkos::View > h_z (a_z , dim==3 ? nip : 0); auto z = new Kokkos::View ("z", nip); SData_d->z = static_cast(z); Kokkos::deep_copy (*z, h_z); } else SData_d->z = NULL; // const Kokkos::View > h_NCells (a_numCells, num_grids); auto nc = new Kokkos::View ("NCells",num_grids); SData_d->NCells = static_cast(nc); Kokkos::deep_copy (*nc, h_NCells); const Kokkos::View > h_species_offset (a_species_offset, num_grids+1); auto soff = new Kokkos::View ("species_offset",num_grids+1); SData_d->species_offset = static_cast(soff); Kokkos::deep_copy (*soff, h_species_offset); const Kokkos::View > h_mat_offset (a_mat_offset, num_grids+1); auto moff = new Kokkos::View ("mat_offset",num_grids+1); SData_d->mat_offset = static_cast(moff); Kokkos::deep_copy (*moff, h_mat_offset); const Kokkos::View > h_ip_offset (ip_offset, num_grids+1); auto ipoff = new Kokkos::View ("ip_offset",num_grids+1); SData_d->ip_offset = static_cast(ipoff); Kokkos::deep_copy (*ipoff, h_ip_offset); const Kokkos::View > h_elem_offset (elem_offset, num_grids+1); auto eoff = new Kokkos::View ("elem_offset",num_grids+1); SData_d->elem_offset = static_cast(eoff); Kokkos::deep_copy (*eoff, h_elem_offset); const Kokkos::View > h_ipf_offset (ipf_offset, num_grids+1); auto ipfoff = new Kokkos::View ("ipf_offset",num_grids+1); SData_d->ipf_offset = static_cast(ipfoff); Kokkos::deep_copy (*ipfoff, h_ipf_offset); #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, no copy auto ipfdf_data = new Kokkos::View ("fdf", batch_sz, dim+1, IPf_sz); #else auto ipfdf_data = new Kokkos::View ("fdf",batch_sz, dim+1, IPf_sz); #endif SData_d->ipfdf_data = static_cast(ipfdf_data); auto Eq_m = new Kokkos::View ("Eq_m",Nftot); // allocate but do not set, same for whole batch SData_d->Eq_m = static_cast(Eq_m); } SData_d->maps = NULL; // not used PetscFunctionReturn(0); } PetscErrorCode LandauKokkosStaticDataClear(LandauStaticData *SData_d) { PetscFunctionBegin; if (SData_d->alpha) { auto alpha = static_cast*>(SData_d->alpha); delete alpha; SData_d->alpha = NULL; auto beta = static_cast*>(SData_d->beta); delete beta; auto invMass = static_cast*>(SData_d->invMass); delete invMass; auto B = static_cast*>(SData_d->B); delete B; auto D = static_cast*>(SData_d->D); delete D; auto invJ = static_cast*>(SData_d->invJ); delete invJ; auto x = static_cast*>(SData_d->x); delete x; auto y = static_cast*>(SData_d->y); delete y; if (SData_d->z) { auto z = static_cast*>(SData_d->z); delete z; } #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, no copy auto z = static_cast*>(SData_d->ipfdf_data); #else auto z = static_cast*>(SData_d->ipfdf_data); #endif delete z; auto w = static_cast*>(SData_d->w); delete w; auto Eq_m = static_cast*>(SData_d->Eq_m); delete Eq_m; // offset auto nc = static_cast*>(SData_d->NCells); delete nc; auto soff = static_cast*>(SData_d->species_offset); delete soff; auto moff = static_cast*>(SData_d->mat_offset); delete moff; auto ipoff = static_cast*>(SData_d->ip_offset); delete ipoff; auto eoff = static_cast*>(SData_d->elem_offset); delete eoff; auto ipfoff = static_cast*>(SData_d->ipf_offset); delete ipfoff; } PetscFunctionReturn(0); } #define KOKKOS_SHARED_LEVEL 1 KOKKOS_INLINE_FUNCTION PetscErrorCode landau_mat_assemble(PetscSplitCSRDataStructure d_mat, const team_member team, Kokkos::View s_fieldMats, Kokkos::View s_idx, Kokkos::View s_scale, const PetscInt Nb, const PetscInt Nq, const PetscInt nfaces, const PetscInt moffset, const PetscInt elem, const PetscInt fieldA, const P4estVertexMaps *d_maps) { const LandauIdx *const Idxs = &d_maps->gIdx[elem][fieldA][0]; team.team_barrier(); Kokkos::parallel_for(Kokkos::TeamVectorRange(team,0,Nb), [=] (int f) { PetscInt q, idx = Idxs[f]; if (idx >= 0) { s_idx(f,0) = idx + moffset; s_scale(f,0) = 1.; } else { idx = -idx - 1; for (q = 0; q < nfaces; q++) { s_idx(f,q) = d_maps->c_maps[idx][q].gid + moffset; s_scale(f,q) = d_maps->c_maps[idx][q].scale; } } }); team.team_barrier(); Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) { PetscInt nr,idx = Idxs[f]; if (idx >= 0) { nr = 1; } else { nr = nfaces; } Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) { PetscScalar vals[LANDAU_MAX_Q_FACE*LANDAU_MAX_Q_FACE]; PetscInt q,d,nc,idx = Idxs[g]; if (idx >= 0) { nc = 1; } else { nc = nfaces; } for (q = 0; q < nr; q++) { for (d = 0; d < nc; d++) { vals[q*nc + d] = s_scale(f,q)*s_scale(g,d)*s_fieldMats(f,g); } } MatSetValuesDevice(d_mat,nr,&s_idx(f,0),nc,&s_idx(g,0),vals,ADD_VALUES); }); }); return 0; } 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[], const PetscScalar a_xarray[], const LandauStaticData *SData_d, const PetscInt num_sub_blocks, const PetscReal shift, const PetscLogEvent events[], const PetscInt a_mat_offset[], const PetscInt a_species_offset[], Mat subJ[], Mat JacP) { using scr_mem_t = Kokkos::DefaultExecutionSpace::scratch_memory_space; using fieldMats_scr_t = Kokkos::View; using real2_scr_t = Kokkos::View; using idx_scr_t = Kokkos::View; using scale_scr_t = Kokkos::View; using g2_scr_t = Kokkos::View; using g3_scr_t = Kokkos::View; PetscErrorCode ierr; PetscInt Nb=Nq,dim,num_cells_max,Nf_max,num_cells_batch; int nfaces=0; LandauCtx *ctx; PetscReal *d_Eq_m=NULL; PetscScalar *d_vertex_f=NULL; P4estVertexMaps *maps[LANDAU_MAX_GRIDS]; // this gets captured PetscSplitCSRDataStructure d_mat; PetscContainer container; const int conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp==0) ? Nq : 1; auto d_alpha_k = static_cast*>(SData_d->alpha); //static data const PetscReal *d_alpha = d_alpha_k->data(); const PetscInt Nftot = d_alpha_k->size(); // total number of species auto d_beta_k = static_cast*>(SData_d->beta); const PetscReal *d_beta = d_beta_k->data(); auto d_invMass_k = static_cast*>(SData_d->invMass); const PetscReal *d_invMass = d_invMass_k->data(); auto d_B_k = static_cast*>(SData_d->B); const PetscReal *d_BB = d_B_k->data(); auto d_D_k = static_cast*>(SData_d->D); const PetscReal *d_DD = d_D_k->data(); auto d_invJ_k = *static_cast*>(SData_d->invJ); // use Kokkos vector in kernels auto d_x_k = static_cast*>(SData_d->x); //static data const PetscReal *d_x = d_x_k->data(); auto d_y_k = static_cast*>(SData_d->y); //static data const PetscReal *d_y = d_y_k->data(); auto d_z_k = static_cast*>(SData_d->z); //static data const PetscReal *d_z = (LANDAU_DIM==3) ? d_z_k->data() : NULL; auto d_w_k = *static_cast*>(SData_d->w); //static data const PetscReal *d_w = d_w_k.data(); // grid offsets - single vertex grid data auto d_numCells_k = static_cast*>(SData_d->NCells); const PetscInt *d_numCells = d_numCells_k->data(); auto d_species_offset_k = static_cast*>(SData_d->species_offset); const PetscInt *d_species_offset = d_species_offset_k->data(); auto d_mat_offset_k = static_cast*>(SData_d->mat_offset); const PetscInt *d_mat_offset = d_mat_offset_k->data(); auto d_ip_offset_k = static_cast*>(SData_d->ip_offset); const PetscInt *d_ip_offset = d_ip_offset_k->data(); auto d_ipf_offset_k = static_cast*>(SData_d->ipf_offset); const PetscInt *d_ipf_offset = d_ipf_offset_k->data(); auto d_elem_offset_k = static_cast*>(SData_d->elem_offset); const PetscInt *d_elem_offset = d_elem_offset_k->data(); #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, including batched vertices Kokkos::View d_fdf_k = *static_cast*>(SData_d->ipfdf_data); #else Kokkos::View d_fdf_k = *static_cast*>(SData_d->ipfdf_data); #endif auto d_Eq_m_k = static_cast*>(SData_d->Eq_m); // static storage, dynamci data - E(t), copy later, single vertex PetscFunctionBegin; ierr = PetscLogEventBegin(events[3],0,0,0,0);CHKERRQ(ierr); ierr = DMGetApplicationContext(plex[0], &ctx);CHKERRQ(ierr); if (!ctx) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context"); ierr = DMGetDimension(plex[0], &dim);CHKERRQ(ierr); if (LANDAU_DIM != dim) SETERRQ2(PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %D != LANDAU_DIM %d",dim,LANDAU_DIM); if (ctx->gpu_assembly) { ierr = PetscObjectQuery((PetscObject) JacP, "assembly_maps", (PetscObject *) &container);CHKERRQ(ierr); if (container) { // not here first call P4estVertexMaps *h_maps=NULL; ierr = PetscContainerGetPointer(container, (void **) &h_maps);CHKERRQ(ierr); for (PetscInt grid=0 ; grid Nf_max) Nf_max = Nfloc; if (a_numCells[grid] > num_cells_max) num_cells_max = a_numCells[grid]; num_cells_batch += a_numCells[grid]; // we don't have a host element offset here (but in ctx) } const PetscInt totDim_max = Nf_max*Nq, elem_mat_size_max = totDim_max*totDim_max; const PetscInt elem_mat_num_cells_max_grid = container ? 0 : num_cells_max; Kokkos::View 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 const Kokkos::View > h_Eq_m_k (a_Eq_m, Nftot); if (a_elem_closure || a_xarray) { Kokkos::deep_copy (*d_Eq_m_k, h_Eq_m_k); d_Eq_m = d_Eq_m_k->data(); } else d_Eq_m = NULL; ierr = PetscKokkosInitializeCheck();CHKERRQ(ierr); ierr = PetscLogEventEnd(events[3],0,0,0,0);CHKERRQ(ierr); if (a_elem_closure || a_xarray) { // Jacobian, create f & df Kokkos::View *d_vertex_f_k = NULL; ierr = PetscLogEventBegin(events[1],0,0,0,0);CHKERRQ(ierr); if (a_elem_closure) { PetscInt closure_sz = 0; // argh, don't have this on the host!!! for (PetscInt grid=0 ; grid ("closure",closure_sz); const Kokkos::View > h_closure_k (a_elem_closure, closure_sz); // Vertex data for each element Kokkos::deep_copy (*d_vertex_f_k, h_closure_k); d_vertex_f = d_vertex_f_k->data(); } else { d_vertex_f = (PetscScalar*)a_xarray; } ierr = PetscLogEventEnd(events[1],0,0,0,0);CHKERRQ(ierr); ierr = PetscLogEventBegin(events[8],0,0,0,0);CHKERRQ(ierr); ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr); const int scr_bytes_fdf = real2_scr_t::shmem_size(Nf_max,Nb); ierr = PetscInfo6(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); 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) { 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]; // find my grid PetscInt grid = 0; while (b_elem_idx >= d_elem_offset[grid+1]) grid++; { 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]; const PetscInt moffset = LAND_MOFFSET(b_id,grid,batch_sz,num_grids,d_mat_offset); { real2_scr_t s_coef_k(team.team_scratch(KOKKOS_SHARED_LEVEL),Nf_max,Nb); PetscScalar *coef; const PetscReal *invJe = &d_invJ_k((d_ip_offset[grid] + loc_elem*Nq)*dim*dim); // un pack IPData if (!maps[grid]) { 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 } else { coef = s_coef_k.data(); Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,(int)loc_Nf), [=] (int f) { //for (int f = 0; f < loc_Nf; ++f) { Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,(int)Nb), [=] (int b) { //for (int b = 0; b < Nb; ++b) { LandauIdx idx = maps[grid]->gIdx[loc_elem][f][b]; if (idx >= 0) { coef[f*Nb+b] = d_vertex_f[idx+moffset]; // xarray data, not IP, need raw array to deal with CPU assemble case (not used) } else { idx = -idx - 1; coef[f*Nb+b] = 0; for (int q = 0; q < maps[grid]->num_face; q++) { PetscInt id = maps[grid]->c_maps[idx][q].gid; PetscScalar scale = maps[grid]->c_maps[idx][q].scale; coef[f*Nb+b] += scale*d_vertex_f[id+moffset]; } } }); }); } team.team_barrier(); Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nq), [=] (int myQi) { const PetscReal *const invJ = &invJe[myQi*dim*dim]; // b_elem_idx: batch element index const PetscReal *Bq = &d_BB[myQi*Nb], *Dq = &d_DD[myQi*Nb*dim]; Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,(int)loc_Nf), [=] (int f) { PetscInt b, e, d; PetscReal refSpaceDer[LANDAU_DIM]; const PetscInt idx = d_ipf_offset[grid] + f*loc_nip + loc_elem*Nq + myQi; d_fdf_k(b_id,0,idx) = 0.0; for (d = 0; d < LANDAU_DIM; ++d) refSpaceDer[d] = 0.0; for (b = 0; b < Nb; ++b) { d_fdf_k(b_id,0,idx) += Bq[b]*PetscRealPart(coef[f*Nb+b]); for (d = 0; d < dim; ++d) refSpaceDer[d] += Dq[b*dim+d]*PetscRealPart(coef[f*Nb+b]); } for (d = 0; d < dim; ++d) { 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]; } } }); // f }); // myQi } team.team_barrier(); } // 'grid' scope }); // global elems - fdf Kokkos::fence(); ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr); // is this a fence? ierr = PetscLogEventEnd(events[8],0,0,0,0);CHKERRQ(ierr); // Jacobian ierr = PetscLogEventBegin(events[4],0,0,0,0);CHKERRQ(ierr); ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr); const int scr_bytes = 2*(g2_scr_t::shmem_size(dim,Nf_max,Nq) + g3_scr_t::shmem_size(dim,dim,Nf_max,Nq))+fieldMats_scr_t::shmem_size(Nb,Nb)+idx_scr_t::shmem_size(Nb,nfaces)+scale_scr_t::shmem_size(Nb,nfaces); Kokkos::parallel_for("Jacobian", Kokkos::TeamPolicy<>(num_cells_batch*batch_sz, team_size, /* Kokkos::AUTO */ 16).set_scratch_size(KOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes)), KOKKOS_LAMBDA (const team_member team) { const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank()%b_Nelem, b_id = team.league_rank()/b_Nelem; // find my grid PetscInt grid = 0; while (b_elem_idx >= d_elem_offset[grid+1]) grid++; { const PetscInt loc_Nf = d_species_offset[grid+1]-d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid]; const PetscInt moffset = LAND_MOFFSET(b_id,grid,batch_sz,num_grids,d_mat_offset); const PetscInt f_off = d_species_offset[grid], totDim = loc_Nf*Nq; g2_scr_t g2(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,loc_Nf,Nq); g3_scr_t g3(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,dim,loc_Nf,Nq); g2_scr_t gg2(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,loc_Nf,Nq); g3_scr_t gg3(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,dim,loc_Nf,Nq); // get g2[] & g3[] Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nq), [=] (int myQi) { using Kokkos::parallel_reduce; const PetscInt jpidx_glb = d_ip_offset[grid] + loc_elem * Nq + myQi; const PetscReal *invJ = &d_invJ_k(jpidx_glb*dim*dim); const PetscReal vj[3] = {d_x[jpidx_glb], d_y[jpidx_glb], d_z ? d_z[jpidx_glb] : 0}, wj = d_w[jpidx_glb]; landau_inner_red::TensorValueType gg_temp; // reduce on part of gg2 and g33 for IP jpidx_g Kokkos::parallel_reduce(Kokkos::ThreadVectorRange (team, (int)d_ip_offset[num_grids]), [=] (const int& ipidx, landau_inner_red::TensorValueType & ggg) { const PetscReal wi = d_w[ipidx], x = d_x[ipidx], y = d_y[ipidx]; PetscReal temp1[3] = {0, 0, 0}, temp2 = 0; PetscInt fieldA,d2,d3,f_off_r,grid_r,ipidx_g,nip_loc_r,loc_Nf_r; #if LANDAU_DIM==2 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.; LandauTensor2D(vj, x, y, Ud, Uk, mask); #else PetscReal U[3][3], z = d_z[jpidx_glb], 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.; LandauTensor3D(vj, x, y, z, U, mask); #endif grid_r = 0; while (ipidx >= d_ip_offset[grid_r+1]) grid_r++; // yuck search for grid f_off_r = d_species_offset[grid_r]; ipidx_g = ipidx - d_ip_offset[grid_r]; nip_loc_r = d_numCells[grid_r]*Nq; loc_Nf_r = d_species_offset[grid_r+1] - d_species_offset[grid_r]; for (fieldA = 0; fieldA < loc_Nf_r; ++fieldA) { const PetscInt idx = d_ipf_offset[grid_r] + fieldA*nip_loc_r + ipidx_g; temp1[0] += d_fdf_k(b_id,1,idx)*d_beta[fieldA+f_off_r]*d_invMass[fieldA+f_off_r]; temp1[1] += d_fdf_k(b_id,2,idx)*d_beta[fieldA+f_off_r]*d_invMass[fieldA+f_off_r]; #if LANDAU_DIM==3 temp1[2] += d_fdf_k(b_id,3,idx)*d_beta[fieldA+f_off_r]*d_invMass[fieldA+f_off_r]; #endif temp2 += d_fdf_k(b_id,0,idx)*d_beta[fieldA+f_off_r]; } temp1[0] *= wi; temp1[1] *= wi; #if LANDAU_DIM==3 temp1[2] *= wi; #endif temp2 *= wi; #if LANDAU_DIM==2 for (d2 = 0; d2 < 2; d2++) { for (d3 = 0; d3 < 2; ++d3) { /* K = U * grad(f): g2=e: i,A */ ggg.gg2[d2] += Uk[d2][d3]*temp1[d3]; /* D = -U * (I \kron (fx)): g3=f: i,j,A */ ggg.gg3[d2][d3] += Ud[d2][d3]*temp2; } } #else for (d2 = 0; d2 < 3; ++d2) { for (d3 = 0; d3 < 3; ++d3) { /* K = U * grad(f): g2 = e: i,A */ ggg.gg2[d2] += U[d2][d3]*temp1[d3]; /* D = -U * (I \kron (fx)): g3 = f: i,j,A */ ggg.gg3[d2][d3] += U[d2][d3]*temp2; } } #endif }, Kokkos::Sum(gg_temp)); // add alpha and put in gg2/3 Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)loc_Nf), [&] (const int& fieldA) { PetscInt d2,d3; for (d2 = 0; d2 < dim; d2++) { gg2(d2,fieldA,myQi) = gg_temp.gg2[d2]*d_alpha[fieldA+f_off]; 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]; } } }); /* add electric field term once per IP */ Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)loc_Nf), [&] (const int& fieldA) { gg2(dim-1,fieldA,myQi) += d_Eq_m[fieldA+f_off]; }); Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)loc_Nf), [=] (const int& fieldA) { int d,d2,d3,dp; /* Jacobian transform - g2, g3 - per thread (2D) */ for (d = 0; d < dim; ++d) { g2(d,fieldA,myQi) = 0; for (d2 = 0; d2 < dim; ++d2) { g2(d,fieldA,myQi) += invJ[d*dim+d2]*gg2(d2,fieldA,myQi); g3(d,d2,fieldA,myQi) = 0; for (d3 = 0; d3 < dim; ++d3) { for (dp = 0; dp < dim; ++dp) { g3(d,d2,fieldA,myQi) += invJ[d*dim + d3]*gg3(d3,dp,fieldA,myQi)*invJ[d2*dim + dp]; } } g3(d,d2,fieldA,myQi) *= wj; } g2(d,fieldA,myQi) *= wj; } }); }); // Nq team.team_barrier(); { /* assemble */ fieldMats_scr_t s_fieldMats(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,Nb); // Only used for GPU assembly (ie, not first pass) idx_scr_t s_idx(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,nfaces); scale_scr_t s_scale(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,nfaces); for (PetscInt fieldA = 0; fieldA < loc_Nf; fieldA++) { /* assemble */ Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) { Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) { PetscScalar t = 0; for (int qj = 0 ; qj < Nq ; qj++) { // look at others integration points const PetscReal *BJq = &d_BB[qj*Nb], *DIq = &d_DD[qj*Nb*dim]; for (int d = 0; d < dim; ++d) { t += DIq[f*dim+d]*g2(d,fieldA,qj)*BJq[g]; for (int d2 = 0; d2 < dim; ++d2) { t += DIq[f*dim + d]*g3(d,d2,fieldA,qj)*DIq[g*dim + d2]; } } } if (elem_mat_num_cells_max_grid) { // CPU assembly const PetscInt fOff = (fieldA*Nb + f)*totDim + fieldA*Nb + g; d_elem_mats(b_id,grid,loc_elem,fOff) = t; } else { s_fieldMats(f,g) = t; } }); }); if (!elem_mat_num_cells_max_grid) { // GPU assembly landau_mat_assemble (d_mat, team, s_fieldMats, s_idx, s_scale, Nb, Nq, nfaces, moffset, loc_elem, fieldA, maps[grid]); } } } } // scope with 'grid' }); ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr); ierr = PetscLogEventEnd(events[4],0,0,0,0);CHKERRQ(ierr); if (d_vertex_f_k) delete d_vertex_f_k; } else { // mass ierr = PetscLogEventBegin(events[4],0,0,0,0);CHKERRQ(ierr); ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr); int scr_bytes = fieldMats_scr_t::shmem_size(Nq,Nq) + idx_scr_t::shmem_size(Nb,nfaces) + scale_scr_t::shmem_size(Nb,nfaces); ierr = PetscInfo6(plex[0], "Mass shared memory size: %d bytes in level %d conc=%D team size=%D #face=%D Nb=%D\n",scr_bytes,KOKKOS_SHARED_LEVEL,conc,team_size,nfaces,Nb);CHKERRQ(ierr); Kokkos::parallel_for("Mass", Kokkos::TeamPolicy<>(num_cells_batch*batch_sz, team_size, /* Kokkos::AUTO */ 16).set_scratch_size(KOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes)), KOKKOS_LAMBDA (const team_member team) { const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank()%b_Nelem, b_id = team.league_rank()/b_Nelem; fieldMats_scr_t s_fieldMats(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,Nb); idx_scr_t s_idx(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,nfaces); scale_scr_t s_scale(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,nfaces); // find my grid PetscInt grid = 0; while (b_elem_idx >= d_elem_offset[grid+1]) grid++; { 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; const PetscInt moffset = LAND_MOFFSET(b_id,grid,batch_sz,num_grids,d_mat_offset); for (int fieldA = 0; fieldA < loc_Nf; fieldA++) { /* assemble */ Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) { Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) { PetscScalar t = 0; for (int qj = 0 ; qj < Nq ; qj++) { // look at others integration points const PetscReal *BJq = &d_BB[qj*Nb]; const PetscInt jpidx_glb = jpidx_0 + qj; if (dim==2) { t += BJq[f] * d_w_k(jpidx_glb) * shift * BJq[g] * 2. * PETSC_PI; } else { t += BJq[f] * d_w_k(jpidx_glb) * shift * BJq[g]; } } if (elem_mat_num_cells_max_grid) { const PetscInt fOff = (fieldA*Nb + f)*totDim + fieldA*Nb + g; d_elem_mats(b_id,grid,loc_elem,fOff) = t; } else s_fieldMats(f,g) = t; }); }); if (!elem_mat_num_cells_max_grid) { // device assembly landau_mat_assemble (d_mat, team, s_fieldMats, s_idx, s_scale, Nb, Nq, nfaces, moffset, loc_elem, fieldA, maps[grid]); } // else not using GPU assembly } } }); ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr); ierr = PetscLogEventEnd(events[4],0,0,0,0);CHKERRQ(ierr); } Kokkos::fence(); if (elem_mat_num_cells_max_grid) { // CPU assembly Kokkos::View::HostMirror h_elem_mats = Kokkos::create_mirror_view(d_elem_mats); Kokkos::deep_copy (h_elem_mats, d_elem_mats); if (container) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "?????"); for (PetscInt b_id = 0 ; b_id < batch_sz ; b_id++) { // OpenMP (once) for (PetscInt grid=0 ; grid1024) SETERRQ1(PetscObjectComm((PetscObject) B), PETSC_ERR_PLIB, "Row too big: %D",nzl); for (int j=0; j