xref: /petsc/src/ts/utils/dmplexlandau/kokkos/landau.kokkos.cxx (revision 608e5a7a8a35b40c4e75a0aae313cbdeb3df9fee)
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)
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->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->gIdx, maps->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->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->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->num_elements;
87     h_maps.num_face = maps->num_face;
88     h_maps.num_reduced = maps->num_reduced;
89     h_maps.deviceType = maps->deviceType;
90     h_maps.Nf = Nf;
91     h_maps.Nq = Nq;
92     h_maps.c_maps = (pointInterpolationP4est (*)[LANDAU_MAX_Q_FACE]) d_points->data();
93     maps->vp1 = (void*)d_points;
94     h_maps.gIdx = (LandauIdx (*)[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ]) d_gidx->data();
95     maps->vp2 = (void*)d_gidx;
96     {
97       Kokkos::View<P4estVertexMaps, Kokkos::HostSpace> h_maps_k(&h_maps);
98       Kokkos::View<P4estVertexMaps>                    *d_maps_k = new Kokkos::View<P4estVertexMaps>(Kokkos::create_mirror(Kokkos::DefaultExecutionSpace::memory_space(),h_maps_k));
99       Kokkos::deep_copy (*d_maps_k, h_maps_k);
100       maps->data = d_maps_k->data();
101       maps->vp3 = (void*)d_maps_k;
102     }
103     PetscFunctionReturn(0);
104   }
105   PetscErrorCode LandauKokkosDestroyMatMaps(P4estVertexMaps *maps)
106   {
107     PetscFunctionBegin;
108     Kokkos::View<pointInterpolationP4est*[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight>  *a = (Kokkos::View<pointInterpolationP4est*[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight>*)maps->vp1;
109     Kokkos::View<LandauIdx*[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ], Kokkos::LayoutRight>*b = (Kokkos::View<LandauIdx*[LANDAU_MAX_SPECIES][LANDAU_MAX_NQ], Kokkos::LayoutRight>*)maps->vp2;
110     Kokkos::View<P4estVertexMaps*>                                                  *c = (Kokkos::View<P4estVertexMaps*>*)maps->vp3;
111     delete a;  delete b;  delete c;
112     PetscFunctionReturn(0);
113   }
114 
115   PetscErrorCode LandauKokkosStaticDataSet(DM plex, const PetscInt Nq, PetscReal nu_alpha[], PetscReal nu_beta[], PetscReal a_invMass[], PetscReal a_invJ[], PetscReal a_mass_w[],
116                                            PetscReal a_x[], PetscReal a_y[], PetscReal a_z[], PetscReal a_w[], LandauGeomData *SData_d)
117   {
118     PetscReal       *BB,*DD;
119     PetscErrorCode  ierr;
120     PetscTabulation *Tf;
121     LandauCtx       *ctx;
122     PetscInt        *Nbf,dim,Nf,Nb,nip,cStart,cEnd;
123     PetscDS         prob;
124 
125     PetscFunctionBegin;
126     ierr = DMGetApplicationContext(plex, &ctx);CHKERRQ(ierr);
127     if (!ctx) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context");
128     ierr = DMGetDimension(plex, &dim);CHKERRQ(ierr);
129     ierr = DMPlexGetHeightStratum(plex,0,&cStart,&cEnd);CHKERRQ(ierr);
130     nip = (cEnd - cStart)*Nq;
131     ierr = DMGetDS(plex, &prob);CHKERRQ(ierr);
132     ierr = PetscDSGetNumFields(prob, &Nf);CHKERRQ(ierr);
133     ierr = PetscDSGetDimensions(prob, &Nbf);CHKERRQ(ierr); Nb = Nbf[0];
134     if (Nq != Nb) SETERRQ2(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Nq != Nb. %D  %D",Nq,Nb);
135     if (LANDAU_DIM != dim) SETERRQ2(PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %D != LANDAU_DIM %d",dim,LANDAU_DIM);
136     ierr = PetscDSGetTabulation(prob, &Tf);CHKERRQ(ierr);
137     BB   = Tf[0]->T[0]; DD = Tf[0]->T[1];
138     ierr = PetscKokkosInitializeCheck();CHKERRQ(ierr);
139     {
140       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_alpha (nu_alpha, Nf);
141       auto alpha = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("alpha", Nf);
142       SData_d->alpha = static_cast<void*>(alpha);
143       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_beta (nu_beta, Nf);
144       auto beta = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("beta", Nf);
145       SData_d->beta = static_cast<void*>(beta);
146       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_invMass (a_invMass,Nf);
147       auto invMass = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("invMass", Nf);
148       SData_d->invMass = static_cast<void*>(invMass);
149       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_BB (BB,Nq*Nb);
150       auto B = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("B", Nq*Nb);
151       SData_d->B = static_cast<void*>(B);
152       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_DD (DD,Nq*Nb*dim);
153       auto D = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("D", Nq*Nb*dim);
154       SData_d->D = static_cast<void*>(D);
155       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_mass_w (a_mass_w, nip);
156       auto mass_w = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("mass_w", nip);
157       SData_d->mass_w = static_cast<void*>(mass_w);
158       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_invJ (a_invJ, nip*dim*dim);
159       auto invJ = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("invJ", nip*dim*dim);
160       SData_d->invJ = static_cast<void*>(invJ);
161       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_x (a_x, nip);
162       auto x = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("x", nip);
163       SData_d->x = static_cast<void*>(x);
164       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_y (a_y, nip);
165       auto y = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("y", nip);
166       SData_d->y = static_cast<void*>(y);
167       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_w (a_w, nip);
168       auto w = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("w", nip);
169       SData_d->w = static_cast<void*>(w);
170       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_z (a_z , dim==3 ? nip : 0);
171       auto z = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("z", dim==3 ? nip : 0);
172       SData_d->z = static_cast<void*>(z);
173 
174       Kokkos::deep_copy (*mass_w, h_mass_w);
175       Kokkos::deep_copy (*alpha, h_alpha);
176       Kokkos::deep_copy (*beta, h_beta);
177       Kokkos::deep_copy (*invMass, h_invMass);
178       Kokkos::deep_copy (*B, h_BB);
179       Kokkos::deep_copy (*D, h_DD);
180       Kokkos::deep_copy (*invJ, h_invJ);
181       Kokkos::deep_copy (*x, h_x);
182       Kokkos::deep_copy (*y, h_y);
183       Kokkos::deep_copy (*z, h_z);
184       Kokkos::deep_copy (*w, h_w);
185 
186       auto Eq_m = new Kokkos::View<PetscReal*, Kokkos::LayoutLeft> ("Eq_m",Nf);
187       SData_d->Eq_m = static_cast<void*>(Eq_m);
188       auto IPf = new Kokkos::View<PetscScalar*, Kokkos::LayoutLeft> ("IPf",nip*Nf); // Nq==Nb
189       SData_d->IPf = static_cast<void*>(IPf);
190     }
191     PetscFunctionReturn(0);
192   }
193 
194   PetscErrorCode LandauKokkosStaticDataClear(LandauGeomData *SData_d)
195   {
196     PetscFunctionBegin;
197     if (SData_d->alpha) {
198       auto alpha = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->alpha);
199       delete alpha;
200       auto beta = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->beta);
201       delete beta;
202       auto invMass = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->invMass);
203       delete invMass;
204       auto B = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->B);
205       delete B;
206       auto D = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->D);
207       delete D;
208       auto mass_w = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->mass_w);
209       delete mass_w;
210       auto invJ = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->invJ);
211       delete invJ;
212       auto x = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->x);
213       delete x;
214       auto y = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->y);
215       delete y;
216       auto z = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->z);
217       delete z;
218       auto w = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->w);
219       delete w;
220       auto Eq_m = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->Eq_m);
221       delete Eq_m;
222       if (SData_d->IPf) {
223         auto IPf = static_cast<Kokkos::View<PetscScalar*, Kokkos::LayoutLeft>*>(SData_d->IPf);
224         delete IPf;
225       }
226     }
227     PetscFunctionReturn(0);
228   }
229 
230   PetscErrorCode LandauKokkosJacobian(DM plex, const PetscInt Nq, PetscReal a_Eq_m[], PetscScalar a_IPf[],  const PetscInt N, const PetscScalar a_xarray[], LandauGeomData *SData_d,
231                                       const PetscInt num_sub_blocks, PetscReal shift, const PetscLogEvent events[], Mat JacP)
232   {
233     using scr_mem_t = Kokkos::DefaultExecutionSpace::scratch_memory_space;
234     using fieldMats_scr_t = Kokkos::View<PetscScalar**, Kokkos::LayoutRight, scr_mem_t>;
235     using idx_scr_t = Kokkos::View<PetscInt**, Kokkos::LayoutRight, scr_mem_t>;
236     using scale_scr_t = Kokkos::View<PetscReal**, Kokkos::LayoutRight, scr_mem_t>;
237     using g2_scr_t = Kokkos::View<PetscReal***, Kokkos::LayoutRight, scr_mem_t>;
238     using g3_scr_t = Kokkos::View<PetscReal****, Kokkos::LayoutRight, scr_mem_t>;
239     PetscErrorCode    ierr;
240     PetscInt          *Nbf,Nb,cStart,cEnd,Nf,dim,numCells,totDim,global_elem_mat_sz,nip,nfaces=0;
241     PetscDS           prob;
242     LandauCtx         *ctx;
243     PetscReal         *d_Eq_m=NULL;
244     PetscScalar       *d_IPf=NULL;
245     P4estVertexMaps   *d_maps=NULL;
246     PetscSplitCSRDataStructure d_mat=NULL;
247     const int         conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp==0) ? Nq : 1;
248     auto              d_alpha_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->alpha); //static data
249     const PetscReal   *d_alpha = d_alpha_k->data();
250     auto              d_beta_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->beta);
251     const PetscReal   *d_beta = d_beta_k->data();
252     auto              d_invMass_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->invMass);
253     const PetscReal   *d_invMass = d_invMass_k->data();
254     auto              d_B_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->B);
255     const PetscReal   *d_BB = d_B_k->data();
256     auto              d_D_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->D);
257     const PetscReal   *d_DD = d_D_k->data();
258     auto              d_mass_w_k = *static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->mass_w);
259     auto              d_invJ_k = *static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->invJ); // use Kokkos vector in kernels
260     auto              d_x_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->x); //static data
261     const PetscReal   *d_x = d_x_k->data();
262     auto              d_y_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->y); //static data
263     const PetscReal   *d_y = d_y_k->data();
264     auto              d_z_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->z); //static data
265     const PetscReal   *d_z = d_z_k->data();
266     auto              d_w_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->w); //static data
267     const PetscReal   *d_w = d_w_k->data();
268     // dynamic data pointers
269     auto              d_Eq_m_k = static_cast<Kokkos::View<PetscReal*, Kokkos::LayoutLeft>*>(SData_d->Eq_m); //static data
270     auto              d_IPf_k  = static_cast<Kokkos::View<PetscScalar*, Kokkos::LayoutLeft>*>(SData_d->IPf); //static data
271 
272     PetscFunctionBegin;
273     ierr = PetscLogEventBegin(events[3],0,0,0,0);CHKERRQ(ierr);
274     ierr = DMGetApplicationContext(plex, &ctx);CHKERRQ(ierr);
275     if (!ctx) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context");
276     ierr = DMGetDimension(plex, &dim);CHKERRQ(ierr);
277     ierr = DMPlexGetHeightStratum(plex,0,&cStart,&cEnd);CHKERRQ(ierr);
278     numCells = cEnd - cStart;
279     nip = numCells*Nq;
280     ierr = DMGetDS(plex, &prob);CHKERRQ(ierr);
281     ierr = PetscDSGetNumFields(prob, &Nf);CHKERRQ(ierr);
282     ierr = PetscDSGetDimensions(prob, &Nbf);CHKERRQ(ierr); Nb = Nbf[0];
283     if (Nq != Nb) SETERRQ2(PETSC_COMM_SELF, PETSC_ERR_PLIB, "Nq != Nb. %D  %D",Nq,Nb);
284     if (LANDAU_DIM != dim) SETERRQ2(PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %D != LANDAU_DIM %d",dim,LANDAU_DIM);
285     ierr = PetscDSGetTotalDimension(prob, &totDim);CHKERRQ(ierr);
286     if (ctx->gpu_assembly) {
287       PetscContainer container;
288       ierr = PetscObjectQuery((PetscObject) JacP, "assembly_maps", (PetscObject *) &container);CHKERRQ(ierr);
289       if (container) { // not here first call
290 #if defined(PETSC_HAVE_KOKKOS_KERNELS)
291         P4estVertexMaps   *h_maps=NULL;
292         ierr = PetscContainerGetPointer(container, (void **) &h_maps);CHKERRQ(ierr);
293         if (h_maps->data) {
294           d_maps = h_maps->data;
295           nfaces = h_maps->num_face;
296         } else {
297           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "GPU assembly but no metadata in container");
298         }
299         // this does the setup the first time called
300         ierr = MatKokkosGetDeviceMatWrite(JacP,&d_mat);CHKERRQ(ierr);
301         global_elem_mat_sz = 0;
302 #else
303         SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "GPU assembly w/o kokkos kernels -- should not be here");
304 #endif
305       } else { // kernel output - first call assembled on device
306         global_elem_mat_sz = numCells;
307       }
308     } else {
309       global_elem_mat_sz = numCells; // no device assembly
310     }
311     ierr = PetscKokkosInitializeCheck();CHKERRQ(ierr);
312     ierr = PetscLogEventEnd(events[3],0,0,0,0);CHKERRQ(ierr);
313 
314     Kokkos::View<PetscScalar**, Kokkos::LayoutRight> d_elem_mats("element matrices", global_elem_mat_sz, totDim*totDim);
315     if (a_IPf || a_xarray) { // Jacobian
316       const int num_face = nfaces;
317       const int scr_bytes = 2*(g2_scr_t::shmem_size(dim,Nf,Nq) + g3_scr_t::shmem_size(dim,dim,Nf,Nq)) + fieldMats_scr_t::shmem_size(Nb,Nb) + idx_scr_t::shmem_size(Nb,num_face) + scale_scr_t::shmem_size(Nb,num_face);
318 #if defined(LANDAU_LAYOUT_LEFT)
319       Kokkos::View<PetscReal***, Kokkos::LayoutLeft >                               d_fdf_k("df", dim+1, Nf, (a_IPf || a_xarray) ? nip : 0);
320 #else
321       Kokkos::View<PetscReal***, Kokkos::LayoutRight >                              d_fdf_k("df", dim+1, Nf, (a_IPf || a_xarray) ? nip : 0);
322 #endif
323       const Kokkos::View<PetscScalar*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> >h_IPf_k  (a_IPf,  (a_IPf || a_xarray) ? nip*Nf : 0);
324       const Kokkos::View<PetscReal*, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> >  h_Eq_m_k (a_Eq_m, (a_IPf || a_xarray) ? Nf : 0);
325       Kokkos::deep_copy (*d_Eq_m_k, h_Eq_m_k);
326       d_Eq_m = d_Eq_m_k->data();
327       // copy dynamic data to device
328       ierr = PetscLogEventBegin(events[1],0,0,0,0);CHKERRQ(ierr);
329       if (a_IPf) {
330         Kokkos::deep_copy (*d_IPf_k, h_IPf_k);
331         d_IPf  = d_IPf_k->data();
332       } else {
333         d_IPf = (PetscScalar*)a_xarray;
334       }
335       ierr = PetscLogEventEnd(events[1],0,0,0,0);CHKERRQ(ierr);
336 #define KOKKOS_SHARED_LEVEL 1
337       // get f and df
338       ierr = PetscLogEventBegin(events[8],0,0,0,0);CHKERRQ(ierr);
339       ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr);
340       Kokkos::parallel_for("f, df", Kokkos::TeamPolicy<>(numCells, team_size, /* Kokkos::AUTO */ 16), KOKKOS_LAMBDA (const team_member team) {
341           const PetscInt    elem = team.league_rank();
342           const PetscScalar *coef;
343           PetscScalar       coef_buff[LANDAU_MAX_SPECIES*LANDAU_MAX_NQ];
344           // un pack IPData
345           if (!d_maps) {
346             coef = &d_IPf[elem*Nb*Nf];
347           } else {
348             coef = coef_buff;
349             for (int f = 0; f < Nf; ++f) {
350               LandauIdx *const Idxs = &d_maps->gIdx[elem][f][0];
351               for (int b = 0; b < Nb; ++b) {
352                 PetscInt idx = Idxs[b];
353                 if (idx >= 0) {
354                   coef_buff[f*Nb+b] = d_IPf[idx];
355                 } else {
356                   idx = -idx - 1;
357                   coef_buff[f*Nb+b] = 0;
358                   for (int q = 0; q < d_maps->num_face; q++) {
359                     PetscInt    id = d_maps->c_maps[idx][q].gid;
360                     PetscScalar scale = d_maps->c_maps[idx][q].scale;
361                     coef_buff[f*Nb+b] += scale*d_IPf[id];
362                   }
363                 }
364               }
365             }
366           }
367           Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nq), [=] (int myQi) {
368               const PetscInt          ipidx = myQi + elem * Nq;
369               const PetscReal *const  invJj = &d_invJ_k(ipidx*dim*dim);
370               const PetscReal         *Bq = &d_BB[myQi*Nb], *Dq = &d_DD[myQi*Nb*dim];
371               Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,(int)Nf), [=] (int f) {
372                   PetscInt     b, e, d;
373                   PetscReal  refSpaceDer[LANDAU_DIM];
374                   d_fdf_k(0,f,ipidx) = 0.0;
375                   for (d = 0; d < LANDAU_DIM; ++d) refSpaceDer[d] = 0.0;
376                   for (b = 0; b < Nb; ++b) {
377                     const PetscInt    cidx = b;
378                     d_fdf_k(0,f,ipidx) += Bq[cidx]*PetscRealPart(coef[f*Nb+cidx]);
379                     for (d = 0; d < dim; ++d) refSpaceDer[d] += Dq[cidx*dim+d]*PetscRealPart(coef[f*Nb+cidx]);
380                   }
381                   for (d = 0; d < dim; ++d) {
382                     for (e = 0, d_fdf_k(d+1,f,ipidx) = 0.0; e < dim; ++e) {
383                       d_fdf_k(d+1,f,ipidx) += invJj[e*dim+d]*refSpaceDer[e];
384                     }
385                   }
386                 }); // Nf
387             }); // Nq
388         }); // elems
389 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP)
390       ierr = PetscLogGpuFlops(nip*(PetscLogDouble)(2*Nb*(1+dim)));CHKERRQ(ierr);
391 #else
392       ierr = PetscLogFlops(nip*(PetscLogDouble)(2*Nb*(1+dim)));CHKERRQ(ierr);
393 #endif
394       ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr);
395       ierr = PetscLogEventEnd(events[8],0,0,0,0);CHKERRQ(ierr);
396       // Jacobian
397       ierr = PetscLogEventBegin(events[4],0,0,0,0);CHKERRQ(ierr);
398       ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr);
399 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP)
400       ierr = PetscLogGpuFlops(nip*(PetscLogDouble)((nip*(11*Nf+ 4*dim*dim) + 6*Nf*dim*dim*dim + 10*Nf*dim*dim + 4*Nf*dim + Nb*Nf*Nb*Nq*dim*dim*5)));CHKERRQ(ierr);
401       if (ctx->deviceType == LANDAU_CPU) PetscInfo(plex, "Warning: Landau selected CPU but no support for Kokkos using CPU\n");
402 #else
403       ierr = PetscLogFlops(nip*(PetscLogDouble)((nip*(11*Nf+ 4*dim*dim) + 6*Nf*dim*dim*dim + 10*Nf*dim*dim + 4*Nf*dim + Nb*Nf*Nb*Nq*dim*dim*5)));CHKERRQ(ierr);
404 #endif
405       ierr = PetscInfo5(plex, "Jacobian shared memory size: %d bytes in level %d conc=%D team size=%D #face=%D\n",scr_bytes,KOKKOS_SHARED_LEVEL,conc,team_size,nfaces);CHKERRQ(ierr);
406       Kokkos::parallel_for("Landau Jacobian", Kokkos::TeamPolicy<>(numCells, team_size, /*Kokkos::AUTO*/ 16).set_scratch_size(KOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes)), KOKKOS_LAMBDA (const team_member team) {
407           const PetscInt  elem = team.league_rank();
408           g2_scr_t        g2(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,Nf,Nq);
409           g3_scr_t        g3(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,dim,Nf,Nq);
410           g2_scr_t        gg2(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,Nf,Nq);
411           g3_scr_t        gg3(team.team_scratch(KOKKOS_SHARED_LEVEL),dim,dim,Nf,Nq);
412           // get g2[] & g3[]
413           Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nq), [=] (int myQi) {
414               using Kokkos::parallel_reduce;
415               const PetscInt                    jpidx = myQi + elem * Nq;
416               const PetscReal* const            invJj = &d_invJ_k(jpidx*dim*dim);
417               const PetscReal                   vj[3] = {d_x[jpidx], d_y[jpidx], d_z ? d_z[jpidx] : 0}, wj = d_w[jpidx];
418               landau_inner_red::TensorValueType gg_temp; // reduce on part of gg2 and g33 for IP jpidx
419               Kokkos::parallel_reduce(Kokkos::ThreadVectorRange (team, (int)nip), [=] (const int& ipidx, landau_inner_red::TensorValueType & ggg) {
420                   const PetscReal wi = d_w[ipidx], x = d_x[ipidx], y = d_y[ipidx];
421                   PetscReal       temp1[3] = {0, 0, 0}, temp2 = 0;
422                   PetscInt        fieldA,d2,d3;
423 #if LANDAU_DIM==2
424                   PetscReal Ud[2][2], Uk[2][2];
425                   LandauTensor2D(vj, x, y, Ud, Uk, (ipidx==jpidx) ? 0. : 1.);
426 #else
427                   PetscReal U[3][3], z = d_z[ipidx];
428                   LandauTensor3D(vj, x, y, z, U, (ipidx==jpidx) ? 0. : 1.);
429 #endif
430                   for (fieldA = 0; fieldA < Nf; ++fieldA) {
431                     temp1[0] += d_fdf_k(1,fieldA,ipidx)*d_beta[fieldA]*d_invMass[fieldA];
432                     temp1[1] += d_fdf_k(2,fieldA,ipidx)*d_beta[fieldA]*d_invMass[fieldA];
433 #if LANDAU_DIM==3
434                     temp1[2] += d_fdf_k(3,fieldA,ipidx)*d_beta[fieldA]*d_invMass[fieldA];
435 #endif
436                     temp2    += d_fdf_k(0,fieldA,ipidx)*d_beta[fieldA];
437                   }
438                   temp1[0] *= wi;
439                   temp1[1] *= wi;
440 #if LANDAU_DIM==3
441                   temp1[2] *= wi;
442 #endif
443                   temp2    *= wi;
444 #if LANDAU_DIM==2
445                   for (d2 = 0; d2 < 2; d2++) {
446                     for (d3 = 0; d3 < 2; ++d3) {
447                       /* K = U * grad(f): g2=e: i,A */
448                       ggg.gg2[d2] += Uk[d2][d3]*temp1[d3];
449                       /* D = -U * (I \kron (fx)): g3=f: i,j,A */
450                       ggg.gg3[d2][d3] += Ud[d2][d3]*temp2;
451                     }
452                   }
453 #else
454                   for (d2 = 0; d2 < 3; ++d2) {
455                     for (d3 = 0; d3 < 3; ++d3) {
456                       /* K = U * grad(f): g2 = e: i,A */
457                       ggg.gg2[d2] += U[d2][d3]*temp1[d3];
458                       /* D = -U * (I \kron (fx)): g3 = f: i,j,A */
459                       ggg.gg3[d2][d3] += U[d2][d3]*temp2;
460                     }
461                   }
462 #endif
463                 }, Kokkos::Sum<landau_inner_red::TensorValueType>(gg_temp));
464               // add alpha and put in gg2/3
465               Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)Nf), [&] (const int& fieldA) {
466                   PetscInt d2,d3;
467                   for (d2 = 0; d2 < dim; d2++) {
468                     gg2(d2,fieldA,myQi) = gg_temp.gg2[d2]*d_alpha[fieldA];
469                     for (d3 = 0; d3 < dim; d3++) {
470                       gg3(d2,d3,fieldA,myQi) = -gg_temp.gg3[d2][d3]*d_alpha[fieldA]*d_invMass[fieldA];
471                     }
472                   }
473                 });
474               /* add electric field term once per IP */
475               Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)Nf), [&] (const int& fieldA) {
476                   gg2(dim-1,fieldA,myQi) += d_Eq_m[fieldA];
477                 });
478               Kokkos::parallel_for(Kokkos::ThreadVectorRange (team, (int)Nf), [=] (const int& fieldA) {
479                   int d,d2,d3,dp;
480                   /* Jacobian transform - g2, g3 - per thread (2D) */
481                   for (d = 0; d < dim; ++d) {
482                     g2(d,fieldA,myQi) = 0;
483                     for (d2 = 0; d2 < dim; ++d2) {
484                       g2(d,fieldA,myQi) += invJj[d*dim+d2]*gg2(d2,fieldA,myQi);
485                       g3(d,d2,fieldA,myQi) = 0;
486                       for (d3 = 0; d3 < dim; ++d3) {
487                         for (dp = 0; dp < dim; ++dp) {
488                           g3(d,d2,fieldA,myQi) += invJj[d*dim + d3]*gg3(d3,dp,fieldA,myQi)*invJj[d2*dim + dp];
489                         }
490                       }
491                       g3(d,d2,fieldA,myQi) *= wj;
492                     }
493                     g2(d,fieldA,myQi) *= wj;
494                   }
495                 });
496             }); // Nq
497           team.team_barrier();
498           { /* assemble */
499             fieldMats_scr_t s_fieldMats(team.team_scratch(KOKKOS_SHARED_LEVEL),Nq,Nq); // Only used for GPU assembly (ie, not first pass)
500             idx_scr_t       s_idx(team.team_scratch(KOKKOS_SHARED_LEVEL),Nq,num_face);
501             scale_scr_t     s_scale(team.team_scratch(KOKKOS_SHARED_LEVEL),Nq,num_face);
502             PetscInt        fieldA;
503             for (fieldA = 0; fieldA < Nf; fieldA++) {
504               /* assemble */
505               Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) {
506                   Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) {
507                       PetscScalar t = 0;
508                       for (int qj = 0 ; qj < Nq ; qj++) { // look at others integration points
509                         const PetscReal *BJq = &d_BB[qj*Nb], *DIq = &d_DD[qj*Nb*dim];
510                         for (int d = 0; d < dim; ++d) {
511                           t += DIq[f*dim+d]*g2(d,fieldA,qj)*BJq[g];
512                           for (int d2 = 0; d2 < dim; ++d2) {
513                             t += DIq[f*dim + d]*g3(d,d2,fieldA,qj)*DIq[g*dim + d2];
514                           }
515                         }
516                       }
517                       if (global_elem_mat_sz) {
518                         const PetscInt fOff = (fieldA*Nb + f)*totDim + fieldA*Nb + g;
519                         d_elem_mats(elem,fOff) = t;
520                       } else s_fieldMats(f,g) = t;
521                     });
522                 });
523               if (!global_elem_mat_sz) {
524                 const LandauIdx *const Idxs = &d_maps->gIdx[elem][fieldA][0];
525                 team.team_barrier();
526                 Kokkos::parallel_for(Kokkos::TeamVectorRange(team,0,Nb), [=] (int f) {
527                     PetscInt q,idx = Idxs[f];
528                     if (idx >= 0) {
529                       s_idx(f,0) = idx;
530                       s_scale(f,0) = 1.;
531                     } else {
532                       idx = -idx - 1;
533                       for (q = 0; q < nfaces; q++) {
534                         s_idx(f,q) = d_maps->c_maps[idx][q].gid;
535                         s_scale(f,q) = d_maps->c_maps[idx][q].scale;
536                       }
537                     }
538                   });
539                 team.team_barrier();
540                 Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) {
541                     PetscInt nr,idx = Idxs[f];
542                     if (idx >= 0) {
543                       nr = 1;
544                     } else {
545                       nr = nfaces;
546                     }
547                     Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) {
548                         PetscScalar     vals[LANDAU_MAX_Q_FACE*LANDAU_MAX_Q_FACE];
549                         PetscInt        q,d,nc,idx = Idxs[g];
550                         if (idx >= 0) {
551                           nc = 1;
552                         } else {
553                           nc = nfaces;
554                         }
555                         for (q = 0; q < nr; q++) {
556                           for (d = 0; d < nc; d++) {
557                             vals[q*nc + d] = s_scale(f,q)*s_scale(g,d)*s_fieldMats(f,g);
558                           }
559                         }
560                         MatSetValuesDevice(d_mat,nr,&s_idx(f,0),nc,&s_idx(g,0),vals,ADD_VALUES);
561                       });
562                   });
563               }
564             }
565           }
566         });
567       ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr);
568       ierr = PetscLogEventEnd(events[4],0,0,0,0);CHKERRQ(ierr);
569     } else { // mass
570       int scr_bytes = fieldMats_scr_t::shmem_size(Nq,Nq) + idx_scr_t::shmem_size(Nb,nfaces) + scale_scr_t::shmem_size(Nb,nfaces);
571       ierr = PetscLogEventBegin(events[4],0,0,0,0);CHKERRQ(ierr);
572       ierr = PetscLogGpuTimeBegin();CHKERRQ(ierr);
573 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP)
574       ierr = PetscLogGpuFlops(nip*(PetscLogDouble)(Nb*Nf*Nb*Nq*4));CHKERRQ(ierr);
575       if (ctx->deviceType == LANDAU_CPU) PetscInfo(plex, "Warning: Landau selected CPU but no support for Kokkos using CPU\n");
576 #else
577       ierr = PetscLogFlops(nip*(PetscLogDouble)(Nb*Nf*Nb*Nq*4));CHKERRQ(ierr);
578 #endif
579       ierr = PetscInfo5(plex, "Mass shared memory size: %d bytes in level %d conc=%D team size=%D #face=%D\n",scr_bytes,KOKKOS_SHARED_LEVEL,conc,team_size,nfaces);CHKERRQ(ierr);
580       Kokkos::parallel_for("Landau mass", Kokkos::TeamPolicy<>(numCells, team_size, /*Kokkos::AUTO*/ 16).set_scratch_size(KOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes)), KOKKOS_LAMBDA (const team_member team) {
581           const PetscInt  elem = team.league_rank();
582           fieldMats_scr_t s_fieldMats(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,Nb);
583           idx_scr_t       s_idx(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,nfaces);
584           scale_scr_t     s_scale(team.team_scratch(KOKKOS_SHARED_LEVEL),Nb,nfaces);
585           for (int fieldA = 0; fieldA < Nf; fieldA++) {
586             /* assemble */
587             Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) {
588                 Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) {
589                     PetscScalar    t = 0;
590                     for (int qj = 0 ; qj < Nq ; qj++) { // look at others integration points
591                       const PetscReal *BJq = &d_BB[qj*Nb];
592                       const PetscInt jpidx = qj + elem * Nq;
593                       t += BJq[f] * d_mass_w_k(jpidx) * shift * BJq[g];
594                     }
595                     if (global_elem_mat_sz) {
596                       const PetscInt fOff = (fieldA*Nb + f)*totDim + fieldA*Nb + g;
597                       d_elem_mats(elem,fOff) = t;
598                     } else s_fieldMats(f,g) = t;
599                   });
600               });
601             if (!global_elem_mat_sz) {
602               const LandauIdx *const Idxs = &d_maps->gIdx[elem][fieldA][0];
603               team.team_barrier(); // needed ????
604               Kokkos::parallel_for(Kokkos::TeamVectorRange(team,0,Nb), [=] (int f) {
605                   PetscInt q,idx = Idxs[f];
606                   if (idx >= 0) {
607                     s_idx(f,0) = idx;
608                     s_scale(f,0) = 1.;
609                   } else {
610                     idx = -idx - 1;
611                     for (q = 0; q < nfaces; q++) {
612                       s_idx(f,q) = d_maps->c_maps[idx][q].gid;
613                       s_scale(f,q) = d_maps->c_maps[idx][q].scale;
614                     }
615                   }
616                 });
617               team.team_barrier();
618               Kokkos::parallel_for(Kokkos::TeamThreadRange(team,0,Nb), [=] (int f) {
619                   PetscInt nr,idx = Idxs[f];
620                   if (idx >= 0) {
621                     nr = 1;
622                   } else {
623                     nr = nfaces;
624                   }
625                   Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,0,Nb), [=] (int g) {
626                       PetscScalar vals[LANDAU_MAX_Q_FACE*LANDAU_MAX_Q_FACE];
627                       PetscInt    q,d,nc,idx = Idxs[g];
628                       if (idx >= 0) {
629                         nc = 1;
630                       } else {
631                         nc = nfaces;
632                       }
633                       for (q = 0; q < nr; q++) {
634                         for (d = 0; d < nc; d++) {
635                           vals[q*nc + d] = s_scale(f,q)*s_scale(g,d)*s_fieldMats(f,g);
636                         }
637                       }
638                       MatSetValuesDevice(d_mat,nr,&s_idx(f,0),nc,&s_idx(g,0),vals,ADD_VALUES);
639                     });
640                 });
641             }
642           }
643         });
644       ierr = PetscLogGpuTimeEnd();CHKERRQ(ierr);
645       ierr = PetscLogEventEnd(events[4],0,0,0,0);CHKERRQ(ierr);
646     }
647     Kokkos::fence();
648 
649     if (global_elem_mat_sz) {
650       PetscSection      section, globalSection;
651       Kokkos::View<PetscScalar**, Kokkos::LayoutRight>::HostMirror h_elem_mats = Kokkos::create_mirror_view(d_elem_mats);
652       ierr = PetscLogEventBegin(events[5],0,0,0,0);CHKERRQ(ierr);
653       ierr = DMGetLocalSection(plex, &section);CHKERRQ(ierr);
654       ierr = DMGetGlobalSection(plex, &globalSection);CHKERRQ(ierr);
655       Kokkos::deep_copy (h_elem_mats, d_elem_mats);
656       ierr = PetscLogEventEnd(events[5],0,0,0,0);CHKERRQ(ierr);
657       ierr = PetscLogEventBegin(events[6],0,0,0,0);CHKERRQ(ierr);
658       PetscInt ej;
659       for (ej = cStart ; ej < cEnd; ++ej) {
660         const PetscScalar *elMat = &h_elem_mats(ej-cStart,0);
661         ierr = DMPlexMatSetClosure(plex, section, globalSection, JacP, ej, elMat, ADD_VALUES);CHKERRQ(ierr);
662         if (ej==-1) {
663           int d,f;
664           PetscPrintf(PETSC_COMM_SELF,"Kokkos Element matrix %d/%d\n",1,(int)numCells);
665           for (d = 0; d < totDim; ++d){
666             for (f = 0; f < totDim; ++f) PetscPrintf(PETSC_COMM_SELF," %12.5e",  PetscRealPart(elMat[d*totDim + f]));
667             PetscPrintf(PETSC_COMM_SELF,"\n");
668           }
669           exit(14);
670         }
671       }
672       ierr = PetscLogEventEnd(events[6],0,0,0,0);CHKERRQ(ierr);
673       // transition to use of maps for VecGetClosure
674       if (ctx->gpu_assembly) {
675         auto IPf = static_cast<Kokkos::View<PetscScalar*, Kokkos::LayoutLeft>*>(SData_d->IPf);
676         delete IPf;
677         SData_d->IPf = NULL;
678         if (!(a_IPf || a_xarray)) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "transition without Jacobian");
679       }
680     }
681     PetscFunctionReturn(0);
682   }
683 } // extern "C"
684