Actual source code: landau.kokkos.cxx
1: /*
2: Implements the Kokkos kernel
3: */
4: #include <petscconf.h>
5: // On Sunspot, as of 05/04/2023, the default SYCL compiler oneapi/eng-compiler/2022.12.30.003
6: // failed to link this file, so we add "defined(PETSC_HAVE_SYCL)" to disable landau with SYCL
7: // to facilitate petsc users' experiments on Sunspot.
8: // TODO: remove it when Intel fixed the bug. See MR !6412
9: #if defined(PETSC_HAVE_CUDA_CLANG) || defined(PETSC_HAVE_SYCL)
10: #include <petsclandau.h>
11: #define LANDAU_NOT_IMPLEMENTED SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "Not supported with CLANG or SYCL")
12: PetscErrorCode LandauKokkosJacobian(DM[], const PetscInt, const PetscInt, const PetscInt, const PetscInt, const PetscInt[], PetscReal[], PetscScalar[], const PetscScalar[], const LandauStaticData *, const PetscReal, const PetscLogEvent[], const PetscInt[], const PetscInt[], Mat[], Mat)
13: {
14: LANDAU_NOT_IMPLEMENTED;
15: }
16: PetscErrorCode LandauKokkosCreateMatMaps(P4estVertexMaps *, pointInterpolationP4est (*)[LANDAU_MAX_Q_FACE], PetscInt[], PetscInt)
17: {
18: LANDAU_NOT_IMPLEMENTED;
19: }
20: PetscErrorCode LandauKokkosDestroyMatMaps(P4estVertexMaps *, PetscInt)
21: {
22: LANDAU_NOT_IMPLEMENTED;
23: }
24: PetscErrorCode LandauKokkosStaticDataSet(DM, const PetscInt, const PetscInt, const PetscInt, const PetscInt, PetscInt[], PetscInt[], PetscInt[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], PetscReal[], LandauStaticData *)
25: {
26: LANDAU_NOT_IMPLEMENTED;
27: }
28: PetscErrorCode LandauKokkosStaticDataClear(LandauStaticData *)
29: {
30: LANDAU_NOT_IMPLEMENTED;
31: }
32: #else
33: #include <petscvec_kokkos.hpp>
34: #include <petsclandau.h>
35: #include <petsc/private/dmpleximpl.h>
36: #include <petsc/private/deviceimpl.h>
37: #include <petscts.h>
39: #include <Kokkos_Core.hpp>
40: #include <cstdio>
41: typedef Kokkos::TeamPolicy<>::member_type team_member;
42: #include "../land_tensors.h"
44: namespace landau_inner_red
45: { // namespace helps with name resolution in reduction identity
46: template <class ScalarType>
47: struct array_type {
48: ScalarType gg2[LANDAU_DIM];
49: ScalarType gg3[LANDAU_DIM][LANDAU_DIM];
51: KOKKOS_INLINE_FUNCTION // Default constructor - Initialize to 0's
52: array_type()
53: {
54: for (int j = 0; j < LANDAU_DIM; j++) {
55: gg2[j] = 0;
56: for (int k = 0; k < LANDAU_DIM; k++) gg3[j][k] = 0;
57: }
58: }
59: KOKKOS_INLINE_FUNCTION // Copy Constructor
60: array_type(const array_type &rhs)
61: {
62: for (int j = 0; j < LANDAU_DIM; j++) {
63: gg2[j] = rhs.gg2[j];
64: for (int k = 0; k < LANDAU_DIM; k++) gg3[j][k] = rhs.gg3[j][k];
65: }
66: }
67: KOKKOS_INLINE_FUNCTION // add operator
68: array_type &
69: operator+=(const array_type &src)
70: {
71: for (int j = 0; j < LANDAU_DIM; j++) {
72: gg2[j] += src.gg2[j];
73: for (int k = 0; k < LANDAU_DIM; k++) gg3[j][k] += src.gg3[j][k];
74: }
75: return *this;
76: }
77: KOKKOS_INLINE_FUNCTION // volatile add operator
78: void
79: operator+=(const volatile array_type &src) volatile
80: {
81: for (int j = 0; j < LANDAU_DIM; j++) {
82: gg2[j] += src.gg2[j];
83: for (int k = 0; k < LANDAU_DIM; k++) gg3[j][k] += src.gg3[j][k];
84: }
85: }
86: };
87: typedef array_type<PetscReal> TensorValueType; // used to simplify code below
88: } // namespace landau_inner_red
90: namespace Kokkos
91: { //reduction identity must be defined in Kokkos namespace
92: template <>
93: struct reduction_identity<landau_inner_red::TensorValueType> {
94: KOKKOS_FORCEINLINE_FUNCTION static landau_inner_red::TensorValueType sum() { return landau_inner_red::TensorValueType(); }
95: };
96: } // namespace Kokkos
98: extern "C" {
99: PetscErrorCode LandauKokkosCreateMatMaps(P4estVertexMaps maps[], pointInterpolationP4est (*pointMaps)[LANDAU_MAX_Q_FACE], PetscInt Nf[], PetscInt grid)
100: {
101: P4estVertexMaps h_maps; /* host container */
102: const Kokkos::View<pointInterpolationP4est *[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_points((pointInterpolationP4est *)pointMaps, maps[grid].num_reduced);
103: const Kokkos::View<LandauIdx *[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND], Kokkos::LayoutRight, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_gidx((LandauIdx *)maps[grid].gIdx, maps[grid].num_elements);
104: Kokkos::View<pointInterpolationP4est *[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight> *d_points = new Kokkos::View<pointInterpolationP4est *[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight>("points", maps[grid].num_reduced);
105: Kokkos::View<LandauIdx *[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND], Kokkos::LayoutRight> *d_gidx = new Kokkos::View<LandauIdx *[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND], Kokkos::LayoutRight>("gIdx", maps[grid].num_elements);
107: PetscFunctionBegin;
108: Kokkos::deep_copy(*d_gidx, h_gidx);
109: Kokkos::deep_copy(*d_points, h_points);
110: h_maps.num_elements = maps[grid].num_elements;
111: h_maps.num_face = maps[grid].num_face;
112: h_maps.num_reduced = maps[grid].num_reduced;
113: h_maps.deviceType = maps[grid].deviceType;
114: h_maps.numgrids = maps[grid].numgrids;
115: h_maps.Nf = Nf[grid];
116: h_maps.c_maps = (pointInterpolationP4est(*)[LANDAU_MAX_Q_FACE])d_points->data();
117: maps[grid].vp1 = (void *)d_points;
118: h_maps.gIdx = (LandauIdx(*)[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND])d_gidx->data();
119: maps[grid].vp2 = (void *)d_gidx;
120: {
121: Kokkos::View<P4estVertexMaps, Kokkos::HostSpace> h_maps_k(&h_maps);
122: Kokkos::View<P4estVertexMaps> *d_maps_k = new Kokkos::View<P4estVertexMaps>(Kokkos::create_mirror(Kokkos::DefaultExecutionSpace::memory_space(), h_maps_k));
123: Kokkos::deep_copy(*d_maps_k, h_maps_k);
124: maps[grid].d_self = d_maps_k->data();
125: maps[grid].vp3 = (void *)d_maps_k;
126: }
127: PetscFunctionReturn(PETSC_SUCCESS);
128: }
129: PetscErrorCode LandauKokkosDestroyMatMaps(P4estVertexMaps maps[], PetscInt num_grids)
130: {
131: PetscFunctionBegin;
132: for (PetscInt grid = 0; grid < num_grids; grid++) {
133: auto a = static_cast<Kokkos::View<pointInterpolationP4est *[LANDAU_MAX_Q_FACE], Kokkos::LayoutRight> *>(maps[grid].vp1);
134: auto b = static_cast<Kokkos::View<LandauIdx *[LANDAU_MAX_SPECIES][LANDAU_MAX_NQND], Kokkos::LayoutRight> *>(maps[grid].vp2);
135: auto c = static_cast<Kokkos::View<P4estVertexMaps *> *>(maps[grid].vp3);
136: delete a;
137: delete b;
138: delete c;
139: }
140: PetscFunctionReturn(PETSC_SUCCESS);
141: }
143: PetscErrorCode LandauKokkosStaticDataSet(DM plex, const PetscInt Nq, const PetscInt Nb, const PetscInt batch_sz, const PetscInt num_grids, PetscInt a_numCells[], PetscInt a_species_offset[], PetscInt a_mat_offset[], PetscReal a_nu_alpha[], PetscReal a_nu_beta[], PetscReal a_invMass[], PetscReal a_lambdas[], PetscReal a_invJ[], PetscReal a_x[], PetscReal a_y[], PetscReal a_z[], PetscReal a_w[], LandauStaticData *SData_d)
144: {
145: PetscReal *BB, *DD;
146: PetscTabulation *Tf;
147: PetscInt dim;
148: PetscInt ip_offset[LANDAU_MAX_GRIDS + 1], ipf_offset[LANDAU_MAX_GRIDS + 1], elem_offset[LANDAU_MAX_GRIDS + 1], nip, IPf_sz, Nftot;
149: PetscDS prob;
151: PetscFunctionBegin;
152: PetscCall(DMGetDimension(plex, &dim));
153: PetscCall(DMGetDS(plex, &prob));
154: PetscCheck(LANDAU_DIM == dim, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " != LANDAU_DIM %d", dim, LANDAU_DIM);
155: PetscCall(PetscDSGetTabulation(prob, &Tf));
156: BB = Tf[0]->T[0];
157: DD = Tf[0]->T[1];
158: ip_offset[0] = ipf_offset[0] = elem_offset[0] = 0;
159: nip = 0;
160: IPf_sz = 0;
161: for (PetscInt grid = 0; grid < num_grids; grid++) {
162: PetscInt nfloc = a_species_offset[grid + 1] - a_species_offset[grid];
163: elem_offset[grid + 1] = elem_offset[grid] + a_numCells[grid];
164: nip += a_numCells[grid] * Nq;
165: ip_offset[grid + 1] = nip;
166: IPf_sz += Nq * nfloc * a_numCells[grid];
167: ipf_offset[grid + 1] = IPf_sz;
168: }
169: Nftot = a_species_offset[num_grids];
170: PetscCall(PetscKokkosInitializeCheck());
171: {
172: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_alpha(a_nu_alpha, Nftot);
173: auto alpha = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("alpha", Nftot);
174: SData_d->alpha = static_cast<void *>(alpha);
175: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_beta(a_nu_beta, Nftot);
176: auto beta = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("beta", Nftot);
177: SData_d->beta = static_cast<void *>(beta);
178: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_invMass(a_invMass, Nftot);
179: auto invMass = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("invMass", Nftot);
180: SData_d->invMass = static_cast<void *>(invMass);
181: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_lambdas(a_lambdas, LANDAU_MAX_GRIDS * LANDAU_MAX_GRIDS);
182: auto lambdas = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("lambdas", LANDAU_MAX_GRIDS * LANDAU_MAX_GRIDS);
183: SData_d->lambdas = static_cast<void *>(lambdas);
184: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_BB(BB, Nq * Nb);
185: auto B = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("B", Nq * Nb);
186: SData_d->B = static_cast<void *>(B);
187: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_DD(DD, Nq * Nb * dim);
188: auto D = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("D", Nq * Nb * dim);
189: SData_d->D = static_cast<void *>(D);
190: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_invJ(a_invJ, nip * dim * dim);
191: auto invJ = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("invJ", nip * dim * dim);
192: SData_d->invJ = static_cast<void *>(invJ);
193: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_x(a_x, nip);
194: auto x = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("x", nip);
195: SData_d->x = static_cast<void *>(x);
196: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_y(a_y, nip);
197: auto y = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("y", nip);
198: SData_d->y = static_cast<void *>(y);
199: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_w(a_w, nip);
200: auto w = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("w", nip);
201: SData_d->w = static_cast<void *>(w);
203: Kokkos::deep_copy(*alpha, h_alpha);
204: Kokkos::deep_copy(*beta, h_beta);
205: Kokkos::deep_copy(*invMass, h_invMass);
206: Kokkos::deep_copy(*lambdas, h_lambdas);
207: Kokkos::deep_copy(*B, h_BB);
208: Kokkos::deep_copy(*D, h_DD);
209: Kokkos::deep_copy(*invJ, h_invJ);
210: Kokkos::deep_copy(*x, h_x);
211: Kokkos::deep_copy(*y, h_y);
212: Kokkos::deep_copy(*w, h_w);
214: if (dim == 3) {
215: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_z(a_z, nip);
216: auto z = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("z", nip);
217: SData_d->z = static_cast<void *>(z);
218: Kokkos::deep_copy(*z, h_z);
219: } else SData_d->z = NULL;
221: //
222: const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_NCells(a_numCells, num_grids);
223: auto nc = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("NCells", num_grids);
224: SData_d->NCells = static_cast<void *>(nc);
225: Kokkos::deep_copy(*nc, h_NCells);
227: const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_species_offset(a_species_offset, num_grids + 1);
228: auto soff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("species_offset", num_grids + 1);
229: SData_d->species_offset = static_cast<void *>(soff);
230: Kokkos::deep_copy(*soff, h_species_offset);
232: const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_mat_offset(a_mat_offset, num_grids + 1);
233: auto moff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("mat_offset", num_grids + 1);
234: SData_d->mat_offset = static_cast<void *>(moff);
235: Kokkos::deep_copy(*moff, h_mat_offset);
237: const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_ip_offset(ip_offset, num_grids + 1);
238: auto ipoff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("ip_offset", num_grids + 1);
239: SData_d->ip_offset = static_cast<void *>(ipoff);
240: Kokkos::deep_copy(*ipoff, h_ip_offset);
242: const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_elem_offset(elem_offset, num_grids + 1);
243: auto eoff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("elem_offset", num_grids + 1);
244: SData_d->elem_offset = static_cast<void *>(eoff);
245: Kokkos::deep_copy(*eoff, h_elem_offset);
247: const Kokkos::View<PetscInt *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_ipf_offset(ipf_offset, num_grids + 1);
248: auto ipfoff = new Kokkos::View<PetscInt *, Kokkos::LayoutLeft>("ipf_offset", num_grids + 1);
249: SData_d->ipf_offset = static_cast<void *>(ipfoff);
250: Kokkos::deep_copy(*ipfoff, h_ipf_offset);
251: #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, no copy
252: auto ipfdf_data = new Kokkos::View<PetscReal ***, Kokkos::LayoutLeft>("fdf", batch_sz, dim + 1, IPf_sz);
253: #else
254: auto ipfdf_data = new Kokkos::View<PetscReal ***, Kokkos::LayoutRight>("fdf", batch_sz, dim + 1, IPf_sz);
255: #endif
256: SData_d->ipfdf_data = static_cast<void *>(ipfdf_data);
257: auto Eq_m = new Kokkos::View<PetscReal *, Kokkos::LayoutLeft>("Eq_m", Nftot); // allocate but do not set, same for whole batch
258: SData_d->Eq_m = static_cast<void *>(Eq_m);
259: const Kokkos::View<LandauIdx *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_coo_elem_offsets((LandauIdx *)SData_d->coo_elem_offsets, SData_d->coo_n_cellsTot + 1);
260: auto coo_elem_offsets = new Kokkos::View<LandauIdx *, Kokkos::LayoutLeft>("coo_elem_offsets", SData_d->coo_n_cellsTot + 1);
261: const Kokkos::View<LandauIdx *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_coo_elem_fullNb((LandauIdx *)SData_d->coo_elem_fullNb, SData_d->coo_n_cellsTot);
262: auto coo_elem_fullNb = new Kokkos::View<LandauIdx *, Kokkos::LayoutLeft>("coo_elem_offsets", SData_d->coo_n_cellsTot);
263: const Kokkos::View<LandauIdx *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_coo_elem_point_offsets((LandauIdx *)SData_d->coo_elem_point_offsets, SData_d->coo_n_cellsTot * (LANDAU_MAX_NQND + 1));
264: auto coo_elem_point_offsets = new Kokkos::View<LandauIdx *, Kokkos::LayoutLeft>("coo_elem_point_offsets", SData_d->coo_n_cellsTot * (LANDAU_MAX_NQND + 1));
265: // assign & copy
266: Kokkos::deep_copy(*coo_elem_offsets, h_coo_elem_offsets);
267: Kokkos::deep_copy(*coo_elem_fullNb, h_coo_elem_fullNb);
268: Kokkos::deep_copy(*coo_elem_point_offsets, h_coo_elem_point_offsets);
269: // need to free this now and use pointer space
270: PetscCall(PetscFree3(SData_d->coo_elem_offsets, SData_d->coo_elem_fullNb, SData_d->coo_elem_point_offsets));
271: SData_d->coo_elem_offsets = static_cast<void *>(coo_elem_offsets);
272: SData_d->coo_elem_fullNb = static_cast<void *>(coo_elem_fullNb);
273: SData_d->coo_elem_point_offsets = static_cast<void *>(coo_elem_point_offsets);
274: auto coo_vals = new Kokkos::View<PetscScalar *, Kokkos::LayoutRight, Kokkos::DefaultExecutionSpace>("coo_vals", SData_d->coo_size);
275: SData_d->coo_vals = static_cast<void *>(coo_vals);
276: }
277: SData_d->maps = NULL; // not used
278: PetscFunctionReturn(PETSC_SUCCESS);
279: }
281: PetscErrorCode LandauKokkosStaticDataClear(LandauStaticData *SData_d)
282: {
283: PetscFunctionBegin;
284: if (SData_d->alpha) {
285: auto alpha = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->alpha);
286: delete alpha;
287: SData_d->alpha = NULL;
288: auto beta = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->beta);
289: delete beta;
290: auto invMass = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->invMass);
291: delete invMass;
292: auto lambdas = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->lambdas);
293: delete lambdas;
294: auto B = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->B);
295: delete B;
296: auto D = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->D);
297: delete D;
298: auto invJ = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->invJ);
299: delete invJ;
300: auto x = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->x);
301: delete x;
302: auto y = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->y);
303: delete y;
304: if (SData_d->z) {
305: auto z = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->z);
306: delete z;
307: }
308: #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, no copy
309: auto z = static_cast<Kokkos::View<PetscReal ***, Kokkos::LayoutLeft> *>(SData_d->ipfdf_data);
310: #else
311: auto z = static_cast<Kokkos::View<PetscReal ***, Kokkos::LayoutRight> *>(SData_d->ipfdf_data);
312: #endif
313: delete z;
314: auto w = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->w);
315: delete w;
316: auto Eq_m = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->Eq_m);
317: delete Eq_m;
318: // offset
319: auto nc = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->NCells);
320: delete nc;
321: auto soff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->species_offset);
322: delete soff;
323: auto moff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->mat_offset);
324: delete moff;
325: auto ipoff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->ip_offset);
326: delete ipoff;
327: auto eoff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->elem_offset);
328: delete eoff;
329: auto ipfoff = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->ipf_offset);
330: delete ipfoff;
331: auto coo_elem_offsets = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>((void *)SData_d->coo_elem_offsets);
332: delete coo_elem_offsets;
333: auto coo_elem_fullNb = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>((void *)SData_d->coo_elem_fullNb);
334: delete coo_elem_fullNb;
335: auto coo_elem_point_offsets = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>((void *)SData_d->coo_elem_point_offsets);
336: delete coo_elem_point_offsets;
337: SData_d->coo_elem_offsets = NULL;
338: SData_d->coo_elem_point_offsets = NULL;
339: SData_d->coo_elem_fullNb = NULL;
340: auto coo_vals = static_cast<Kokkos::View<PetscScalar *, Kokkos::LayoutRight, Kokkos::DefaultExecutionSpace> *>((void *)SData_d->coo_vals);
341: delete coo_vals;
342: }
343: PetscFunctionReturn(PETSC_SUCCESS);
344: }
346: #define KOKKOS_SHARED_LEVEL 0 // 0 is shared, 1 is global
348: KOKKOS_INLINE_FUNCTION
349: PetscErrorCode landau_mat_assemble(PetscScalar *coo_vals, const PetscScalar Aij, const PetscInt f, const PetscInt g, const PetscInt Nb, PetscInt moffset, const PetscInt elem, const PetscInt fieldA, const P4estVertexMaps *d_maps, const LandauIdx coo_elem_offsets[], const LandauIdx coo_elem_fullNb[], const LandauIdx (*coo_elem_point_offsets)[LANDAU_MAX_NQND + 1], const PetscInt glb_elem_idx, const PetscInt bid_coo_sz_batch)
350: {
351: PetscInt idx, q, nr, nc;
352: const LandauIdx *const Idxs = &d_maps->gIdx[elem][fieldA][0];
353: PetscScalar row_scale[LANDAU_MAX_Q_FACE] = {0}, col_scale[LANDAU_MAX_Q_FACE] = {0};
354: { // mirror (i,j) in CreateStaticGPUData
355: const int fullNb = coo_elem_fullNb[glb_elem_idx], fullNb2 = fullNb * fullNb;
356: idx = Idxs[f];
357: if (idx >= 0) {
358: nr = 1;
359: row_scale[0] = 1.;
360: } else {
361: idx = -idx - 1;
362: for (q = 0, nr = 0; q < d_maps->num_face; q++, nr++) {
363: if (d_maps->c_maps[idx][q].gid < 0) break;
364: row_scale[q] = d_maps->c_maps[idx][q].scale;
365: }
366: }
367: idx = Idxs[g];
368: if (idx >= 0) {
369: nc = 1;
370: col_scale[0] = 1.;
371: } else {
372: idx = -idx - 1;
373: nc = d_maps->num_face;
374: for (q = 0, nc = 0; q < d_maps->num_face; q++, nc++) {
375: if (d_maps->c_maps[idx][q].gid < 0) break;
376: col_scale[q] = d_maps->c_maps[idx][q].scale;
377: }
378: }
379: const int idx0 = bid_coo_sz_batch + coo_elem_offsets[glb_elem_idx] + fieldA * fullNb2 + fullNb * coo_elem_point_offsets[glb_elem_idx][f] + nr * coo_elem_point_offsets[glb_elem_idx][g];
380: for (int q = 0, idx2 = idx0; q < nr; q++) {
381: for (int d = 0; d < nc; d++, idx2++) coo_vals[idx2] = row_scale[q] * col_scale[d] * Aij;
382: }
383: }
384: return PETSC_SUCCESS;
385: }
387: PetscErrorCode LandauKokkosJacobian(DM plex[], const PetscInt Nq, const PetscInt Nb, const PetscInt batch_sz, const PetscInt num_grids, const PetscInt a_numCells[], PetscReal a_Eq_m[], PetscScalar a_elem_closure[], const PetscScalar a_xarray[], const LandauStaticData *SData_d, const PetscReal shift, const PetscLogEvent events[], const PetscInt a_mat_offset[], const PetscInt a_species_offset[], Mat subJ[], Mat JacP)
388: {
389: using scr_mem_t = Kokkos::DefaultExecutionSpace::scratch_memory_space;
390: using real2_scr_t = Kokkos::View<PetscScalar **, Kokkos::LayoutRight, scr_mem_t>;
391: using g2_scr_t = Kokkos::View<PetscReal ***, Kokkos::LayoutRight, scr_mem_t>;
392: using g3_scr_t = Kokkos::View<PetscReal ****, Kokkos::LayoutRight, scr_mem_t>;
393: PetscInt dim, num_cells_max, Nf_max, num_cells_batch;
394: int nfaces = 0, vector_size = 512 / Nq;
395: LandauCtx *ctx;
396: PetscReal *d_Eq_m = NULL;
397: PetscScalar *d_vertex_f = NULL;
398: P4estVertexMaps *maps[LANDAU_MAX_GRIDS]; // this gets captured
399: PetscContainer container;
400: const int conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp == 0) ? Nq : 1;
401: const PetscInt coo_sz_batch = SData_d->coo_size / batch_sz; // capture
402: auto d_alpha_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->alpha); //static data
403: const PetscReal *d_alpha = d_alpha_k->data();
404: const PetscInt Nftot = d_alpha_k->size(); // total number of species
405: auto d_beta_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->beta);
406: const PetscReal *d_beta = d_beta_k->data();
407: auto d_invMass_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->invMass);
408: const PetscReal *d_invMass = d_invMass_k->data();
409: auto d_lambdas_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->lambdas);
410: const PetscReal *d_lambdas = d_lambdas_k->data();
411: auto d_B_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->B);
412: const PetscReal *d_BB = d_B_k->data();
413: auto d_D_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->D);
414: const PetscReal *d_DD = d_D_k->data();
415: auto d_invJ_k = *static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->invJ); // use Kokkos vector in kernels
416: auto d_x_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->x); //static data
417: const PetscReal *d_x = d_x_k->data();
418: auto d_y_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->y); //static data
419: const PetscReal *d_y = d_y_k->data();
420: auto d_z_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->z); //static data
421: const PetscReal *d_z = (LANDAU_DIM == 3) ? d_z_k->data() : NULL;
422: auto d_w_k = *static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->w); //static data
423: const PetscReal *d_w = d_w_k.data();
424: // grid offsets - single vertex grid data
425: auto d_numCells_k = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->NCells);
426: const PetscInt *d_numCells = d_numCells_k->data();
427: auto d_species_offset_k = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->species_offset);
428: const PetscInt *d_species_offset = d_species_offset_k->data();
429: auto d_mat_offset_k = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->mat_offset);
430: const PetscInt *d_mat_offset = d_mat_offset_k->data();
431: auto d_ip_offset_k = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->ip_offset);
432: const PetscInt *d_ip_offset = d_ip_offset_k->data();
433: auto d_ipf_offset_k = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->ipf_offset);
434: const PetscInt *d_ipf_offset = d_ipf_offset_k->data();
435: auto d_elem_offset_k = static_cast<Kokkos::View<PetscInt *, Kokkos::LayoutLeft> *>(SData_d->elem_offset);
436: const PetscInt *d_elem_offset = d_elem_offset_k->data();
437: #if defined(LANDAU_LAYOUT_LEFT) // preallocate dynamic data, including batched vertices
438: Kokkos::View<PetscReal ***, Kokkos::LayoutLeft> d_fdf_k = *static_cast<Kokkos::View<PetscReal ***, Kokkos::LayoutLeft> *>(SData_d->ipfdf_data);
439: #else
440: Kokkos::View<PetscReal ***, Kokkos::LayoutRight> d_fdf_k = *static_cast<Kokkos::View<PetscReal ***, Kokkos::LayoutRight> *>(SData_d->ipfdf_data);
441: #endif
442: auto d_Eq_m_k = static_cast<Kokkos::View<PetscReal *, Kokkos::LayoutLeft> *>(SData_d->Eq_m); // static storage, dynamci data - E(t), copy later, single vertex
443: // COO
444: auto d_coo_elem_offsets_k = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>(SData_d->coo_elem_offsets);
445: LandauIdx *d_coo_elem_offsets = (SData_d->coo_size == 0) ? NULL : d_coo_elem_offsets_k->data();
446: auto d_coo_elem_fullNb_k = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>(SData_d->coo_elem_fullNb);
447: LandauIdx *d_coo_elem_fullNb = (SData_d->coo_size == 0) ? NULL : d_coo_elem_fullNb_k->data();
448: auto d_coo_elem_point_offsets_k = static_cast<Kokkos::View<LandauIdx *, Kokkos::LayoutLeft> *>(SData_d->coo_elem_point_offsets);
449: LandauIdx(*d_coo_elem_point_offsets)[LANDAU_MAX_NQND + 1] = (SData_d->coo_size == 0) ? NULL : (LandauIdx(*)[LANDAU_MAX_NQND + 1]) d_coo_elem_point_offsets_k->data();
450: auto d_coo_vals_k = static_cast<Kokkos::View<PetscScalar *, Kokkos::LayoutRight> *>(SData_d->coo_vals);
451: PetscScalar *d_coo_vals = (SData_d->coo_size == 0) ? NULL : d_coo_vals_k->data();
453: PetscFunctionBegin;
454: while (vector_size & (vector_size - 1)) vector_size = vector_size & (vector_size - 1);
455: if (vector_size > 16) vector_size = 16; // printf("DEBUG\n");
456: PetscCall(PetscLogEventBegin(events[3], 0, 0, 0, 0));
457: PetscCall(DMGetApplicationContext(plex[0], &ctx));
458: PetscCheck(ctx, PETSC_COMM_SELF, PETSC_ERR_PLIB, "no context");
459: PetscCall(DMGetDimension(plex[0], &dim));
460: PetscCheck(LANDAU_DIM == dim, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "dim %" PetscInt_FMT " != LANDAU_DIM %d", dim, LANDAU_DIM);
461: if (ctx->gpu_assembly) {
462: PetscCall(PetscObjectQuery((PetscObject)JacP, "assembly_maps", (PetscObject *)&container));
463: if (container) {
464: P4estVertexMaps *h_maps = NULL;
465: PetscCall(PetscContainerGetPointer(container, (void **)&h_maps));
466: for (PetscInt grid = 0; grid < num_grids; grid++) {
467: if (h_maps[grid].d_self) {
468: maps[grid] = h_maps[grid].d_self;
469: nfaces = h_maps[grid].num_face; // nface=0 for CPU assembly
470: } else {
471: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "GPU assembly but no metadata in container");
472: }
473: }
474: PetscCheck(d_coo_vals, PETSC_COMM_SELF, PETSC_ERR_PLIB, "d_coo_vals==0");
475: } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "GPU assembly but no metadata in container");
476: } else {
477: for (PetscInt grid = 0; grid < num_grids; grid++) maps[grid] = NULL;
478: nfaces = 0;
479: container = NULL;
480: }
481: num_cells_batch = Nf_max = num_cells_max = 0;
482: for (PetscInt grid = 0; grid < num_grids; grid++) {
483: int Nfloc = a_species_offset[grid + 1] - a_species_offset[grid];
484: if (Nfloc > Nf_max) Nf_max = Nfloc;
485: if (a_numCells[grid] > num_cells_max) num_cells_max = a_numCells[grid];
486: num_cells_batch += a_numCells[grid]; // we don't have a host element offset here (but in ctx)
487: }
488: const int elem_mat_num_cells_max_grid = container ? 0 : num_cells_max;
489: #ifdef LAND_SUPPORT_CPU_ASS
490: const int totDim_max = Nf_max * Nb, elem_mat_size_max = totDim_max * totDim_max;
491: Kokkos::View<PetscScalar ****, Kokkos::LayoutRight> d_elem_mats("element matrices", batch_sz, num_grids, elem_mat_num_cells_max_grid, elem_mat_size_max); // not used (cpu assembly)
492: #endif
493: const Kokkos::View<PetscReal *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_Eq_m_k(a_Eq_m, Nftot);
494: if (a_elem_closure || a_xarray) {
495: Kokkos::deep_copy(*d_Eq_m_k, h_Eq_m_k);
496: d_Eq_m = d_Eq_m_k->data();
497: } else d_Eq_m = NULL;
498: PetscCall(PetscKokkosInitializeCheck());
499: PetscCall(PetscLogEventEnd(events[3], 0, 0, 0, 0));
500: if (a_elem_closure || a_xarray) { // Jacobian, create f & df
501: Kokkos::View<PetscScalar *, Kokkos::LayoutLeft> *d_vertex_f_k = NULL;
502: PetscCall(PetscLogEventBegin(events[1], 0, 0, 0, 0));
503: if (a_elem_closure) {
504: PetscInt closure_sz = 0; // argh, don't have this on the host!!!
505: for (PetscInt grid = 0; grid < num_grids; grid++) {
506: PetscInt nfloc = a_species_offset[grid + 1] - a_species_offset[grid];
507: closure_sz += Nb * nfloc * a_numCells[grid];
508: }
509: closure_sz *= batch_sz;
510: d_vertex_f_k = new Kokkos::View<PetscScalar *, Kokkos::LayoutLeft>("closure", closure_sz);
511: const Kokkos::View<PetscScalar *, Kokkos::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_closure_k(a_elem_closure, closure_sz); // Vertex data for each element
512: Kokkos::deep_copy(*d_vertex_f_k, h_closure_k);
513: d_vertex_f = d_vertex_f_k->data();
514: } else {
515: d_vertex_f = (PetscScalar *)a_xarray;
516: }
517: PetscCall(PetscLogEventEnd(events[1], 0, 0, 0, 0));
518: PetscCall(PetscLogEventBegin(events[8], 0, 0, 0, 0));
519: PetscCall(PetscLogGpuTimeBegin());
521: const int scr_bytes_fdf = real2_scr_t::shmem_size(Nf_max, Nb);
522: PetscCall(PetscInfo(plex[0], "df & f shared memory size: %d bytes in level, %d num cells total=%d, team size=%d, vector size=%d, #face=%d, Nf_max=%d\n", scr_bytes_fdf, KOKKOS_SHARED_LEVEL, (int)(num_cells_batch * batch_sz), team_size, vector_size, nfaces, (int)Nf_max));
523: Kokkos::parallel_for(
524: "f, df", Kokkos::TeamPolicy<>(num_cells_batch * batch_sz, team_size, /* Kokkos::AUTO */ vector_size).set_scratch_size(KOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes_fdf)), KOKKOS_LAMBDA(const team_member team) {
525: const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank() % b_Nelem, b_id = team.league_rank() / b_Nelem, IPf_sz_glb = d_ipf_offset[num_grids];
526: // find my grid
527: PetscInt grid = 0;
528: while (b_elem_idx >= d_elem_offset[grid + 1]) grid++;
529: {
530: const PetscInt loc_nip = d_numCells[grid] * Nq, loc_Nf = d_species_offset[grid + 1] - d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid];
531: const PetscInt moffset = LAND_MOFFSET(b_id, grid, batch_sz, num_grids, d_mat_offset);
532: {
533: real2_scr_t s_coef_k(team.team_scratch(KOKKOS_SHARED_LEVEL), Nf_max, Nb);
534: PetscScalar *coef;
535: const PetscReal *invJe = &d_invJ_k((d_ip_offset[grid] + loc_elem * Nq) * dim * dim);
536: // un pack IPData
537: if (!maps[grid]) {
538: coef = &d_vertex_f[b_id * IPf_sz_glb + d_ipf_offset[grid] + loc_elem * Nb * loc_Nf]; // closure and IP indexing are the same
539: } else {
540: coef = s_coef_k.data();
541: Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, (int)loc_Nf), [=](int f) {
542: //for (int f = 0; f < loc_Nf; ++f) {
543: Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, 0, (int)Nb), [=](int b) {
544: //for (int b = 0; b < Nb; ++b) {
545: LandauIdx idx = maps[grid]->gIdx[loc_elem][f][b];
546: if (idx >= 0) {
547: coef[f * Nb + b] = d_vertex_f[idx + moffset]; // xarray data, not IP, need raw array to deal with CPU assemble case (not used)
548: } else {
549: idx = -idx - 1;
550: coef[f * Nb + b] = 0;
551: for (int q = 0; q < maps[grid]->num_face; q++) {
552: PetscInt id = maps[grid]->c_maps[idx][q].gid;
553: PetscScalar scale = maps[grid]->c_maps[idx][q].scale;
554: if (id >= 0) coef[f * Nb + b] += scale * d_vertex_f[id + moffset];
555: }
556: }
557: });
558: });
559: }
560: team.team_barrier();
561: Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, Nq), [=](int myQi) {
562: const PetscReal *const invJ = &invJe[myQi * dim * dim]; // b_elem_idx: batch element index
563: const PetscReal *Bq = &d_BB[myQi * Nb], *Dq = &d_DD[myQi * Nb * dim];
564: Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, 0, (int)loc_Nf), [=](int f) {
565: PetscInt b, e, d;
566: PetscReal refSpaceDer[LANDAU_DIM];
567: const PetscInt idx = d_ipf_offset[grid] + f * loc_nip + loc_elem * Nq + myQi;
568: d_fdf_k(b_id, 0, idx) = 0.0;
569: for (d = 0; d < LANDAU_DIM; ++d) refSpaceDer[d] = 0.0;
570: for (b = 0; b < Nb; ++b) {
571: d_fdf_k(b_id, 0, idx) += Bq[b] * PetscRealPart(coef[f * Nb + b]);
572: for (d = 0; d < dim; ++d) refSpaceDer[d] += Dq[b * dim + d] * PetscRealPart(coef[f * Nb + b]);
573: }
574: for (d = 0; d < dim; ++d) {
575: for (e = 0, d_fdf_k(b_id, d + 1, idx) = 0.0; e < dim; ++e) d_fdf_k(b_id, d + 1, idx) += invJ[e * dim + d] * refSpaceDer[e];
576: }
577: }); // f
578: }); // myQi
579: }
580: team.team_barrier();
581: } // 'grid' scope
582: }); // global elems - fdf
583: Kokkos::fence();
584: PetscCall(PetscLogGpuTimeEnd());
585: PetscCall(PetscLogEventEnd(events[8], 0, 0, 0, 0));
586: // Jacobian
587: size_t maximum_shared_mem_size = 64000;
588: PetscDevice device;
590: PetscCall(PetscDeviceGetDefault_Internal(&device));
591: PetscCall(PetscDeviceGetAttribute(device, PETSC_DEVICE_ATTR_SIZE_T_SHARED_MEM_PER_BLOCK, &maximum_shared_mem_size));
592: size_t jac_scr_bytes = (size_t)2 * (g2_scr_t::shmem_size(dim, Nf_max, Nq) + g3_scr_t::shmem_size(dim, dim, Nf_max, Nq));
593: const int jac_shared_level = (jac_scr_bytes > maximum_shared_mem_size) ? 1 : KOKKOS_SHARED_LEVEL;
594: // device function/lambda
595: auto jac_lambda = KOKKOS_LAMBDA(const team_member team)
596: {
597: const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank() % b_Nelem, b_id = team.league_rank() / b_Nelem;
598: // find my grid
599: PetscInt grid = 0;
600: while (b_elem_idx >= d_elem_offset[grid + 1]) grid++;
601: {
602: const PetscInt loc_Nf = d_species_offset[grid + 1] - d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid];
603: const PetscInt moffset = LAND_MOFFSET(b_id, grid, batch_sz, num_grids, d_mat_offset);
604: const PetscInt f_off = d_species_offset[grid];
605: #ifdef LAND_SUPPORT_CPU_ASS
606: const PetscInt totDim = loc_Nf * Nb;
607: #endif
608: g2_scr_t g2(team.team_scratch(jac_shared_level), dim, loc_Nf, Nq);
609: g3_scr_t g3(team.team_scratch(jac_shared_level), dim, dim, loc_Nf, Nq);
610: g2_scr_t gg2(team.team_scratch(jac_shared_level), dim, loc_Nf, Nq);
611: g3_scr_t gg3(team.team_scratch(jac_shared_level), dim, dim, loc_Nf, Nq);
612: // get g2[] & g3[]
613: Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, Nq), [=](int myQi) {
614: using Kokkos::parallel_reduce;
615: const PetscInt jpidx_glb = d_ip_offset[grid] + loc_elem * Nq + myQi;
616: const PetscReal *invJ = &d_invJ_k(jpidx_glb * dim * dim);
617: const PetscReal vj[3] = {d_x[jpidx_glb], d_y[jpidx_glb], d_z ? d_z[jpidx_glb] : 0}, wj = d_w[jpidx_glb];
618: landau_inner_red::TensorValueType gg_temp; // reduce on part of gg2 and g33 for IP jpidx_g
619: Kokkos::parallel_reduce(
620: Kokkos::ThreadVectorRange(team, (int)d_ip_offset[num_grids]),
621: [=](const int &ipidx, landau_inner_red::TensorValueType &ggg) {
622: const PetscReal wi = d_w[ipidx], x = d_x[ipidx], y = d_y[ipidx];
623: PetscReal temp1[3] = {0, 0, 0}, temp2 = 0;
624: PetscInt fieldB, d2, d3, f_off_r, grid_r, ipidx_g, nip_loc_r, loc_Nf_r;
625: #if LANDAU_DIM == 2
626: PetscReal Ud[2][2], Uk[2][2], mask = (PetscAbs(vj[0] - x) < 100 * PETSC_SQRT_MACHINE_EPSILON && PetscAbs(vj[1] - y) < 100 * PETSC_SQRT_MACHINE_EPSILON) ? 0. : 1.;
627: LandauTensor2D(vj, x, y, Ud, Uk, mask);
628: #else
629: PetscReal U[3][3], z = d_z[ipidx], mask = (PetscAbs(vj[0]-x) < 100*PETSC_SQRT_MACHINE_EPSILON && PetscAbs(vj[1]-y) < 100*PETSC_SQRT_MACHINE_EPSILON && PetscAbs(vj[2]-z) < 100*PETSC_SQRT_MACHINE_EPSILON) ? 0. : 1.;
630: LandauTensor3D(vj, x, y, z, U, mask);
631: #endif
632: grid_r = 0;
633: while (ipidx >= d_ip_offset[grid_r + 1]) grid_r++; // yuck search for grid
634: f_off_r = d_species_offset[grid_r];
635: ipidx_g = ipidx - d_ip_offset[grid_r];
636: nip_loc_r = d_numCells[grid_r] * Nq;
637: loc_Nf_r = d_species_offset[grid_r + 1] - d_species_offset[grid_r];
638: for (fieldB = 0; fieldB < loc_Nf_r; ++fieldB) { // fieldB is \beta d_lambdas[grid][grid_r]
639: const PetscInt idx = d_ipf_offset[grid_r] + fieldB * nip_loc_r + ipidx_g;
640: const PetscReal ff1 = d_beta[fieldB + f_off_r] * d_lambdas[LANDAU_MAX_GRIDS * grid + grid_r], ff2 = d_invMass[fieldB + f_off_r] * ff1;
641: temp1[0] += d_fdf_k(b_id, 1, idx) * ff2;
642: temp1[1] += d_fdf_k(b_id, 2, idx) * ff2;
643: #if LANDAU_DIM == 3
644: temp1[2] += d_fdf_k(b_id, 3, idx) * ff2;
645: #endif
646: temp2 += d_fdf_k(b_id, 0, idx) * ff1;
647: }
648: temp1[0] *= wi;
649: temp1[1] *= wi;
650: #if LANDAU_DIM == 3
651: temp1[2] *= wi;
652: #endif
653: temp2 *= wi;
654: #if LANDAU_DIM == 2
655: for (d2 = 0; d2 < 2; d2++) {
656: for (d3 = 0; d3 < 2; ++d3) {
657: /* K = U * grad(f): g2=e: i,A */
658: ggg.gg2[d2] += Uk[d2][d3] * temp1[d3];
659: /* D = -U * (I \kron (fx)): g3=f: i,j,A */
660: ggg.gg3[d2][d3] += Ud[d2][d3] * temp2;
661: }
662: }
663: #else
664: for (d2 = 0; d2 < 3; ++d2) {
665: for (d3 = 0; d3 < 3; ++d3) {
666: /* K = U * grad(f): g2 = e: i,A */
667: ggg.gg2[d2] += U[d2][d3]*temp1[d3];
668: /* D = -U * (I \kron (fx)): g3 = f: i,j,A */
669: ggg.gg3[d2][d3] += U[d2][d3]*temp2;
670: }
671: }
672: #endif
673: },
674: Kokkos::Sum<landau_inner_red::TensorValueType>(gg_temp));
675: // add alpha and put in gg2/3
676: Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, (int)loc_Nf), [&](const int &fieldA) { // \alpha
677: PetscInt d2, d3;
678: for (d2 = 0; d2 < dim; d2++) {
679: gg2(d2, fieldA, myQi) = gg_temp.gg2[d2] * d_alpha[fieldA + f_off];
680: for (d3 = 0; d3 < dim; d3++) gg3(d2, d3, fieldA, myQi) = -gg_temp.gg3[d2][d3] * d_alpha[fieldA + f_off] * d_invMass[fieldA + f_off];
681: }
682: });
683: /* add electric field term once per IP */
684: Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, (int)loc_Nf), [&](const int &fieldA) { gg2(dim - 1, fieldA, myQi) += d_Eq_m[fieldA + f_off]; });
685: Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, (int)loc_Nf), [=](const int &fieldA) {
686: int d, d2, d3, dp;
687: /* Jacobian transform - g2, g3 - per thread (2D) */
688: for (d = 0; d < dim; ++d) {
689: g2(d, fieldA, myQi) = 0;
690: for (d2 = 0; d2 < dim; ++d2) {
691: g2(d, fieldA, myQi) += invJ[d * dim + d2] * gg2(d2, fieldA, myQi);
692: g3(d, d2, fieldA, myQi) = 0;
693: for (d3 = 0; d3 < dim; ++d3) {
694: for (dp = 0; dp < dim; ++dp) g3(d, d2, fieldA, myQi) += invJ[d * dim + d3] * gg3(d3, dp, fieldA, myQi) * invJ[d2 * dim + dp];
695: }
696: g3(d, d2, fieldA, myQi) *= wj;
697: }
698: g2(d, fieldA, myQi) *= wj;
699: }
700: });
701: }); // Nq
702: team.team_barrier();
703: { /* assemble */
704: for (PetscInt fieldA = 0; fieldA < loc_Nf; fieldA++) {
705: /* assemble */
706: Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, Nb), [=](int f) {
707: Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, 0, Nb), [=](int g) {
708: PetscScalar t = 0;
709: for (int qj = 0; qj < Nq; qj++) { // look at others integration points
710: const PetscReal *BJq = &d_BB[qj * Nb], *DIq = &d_DD[qj * Nb * dim];
711: for (int d = 0; d < dim; ++d) {
712: t += DIq[f * dim + d] * g2(d, fieldA, qj) * BJq[g];
713: for (int d2 = 0; d2 < dim; ++d2) t += DIq[f * dim + d] * g3(d, d2, fieldA, qj) * DIq[g * dim + d2];
714: }
715: }
716: if (elem_mat_num_cells_max_grid) { // CPU assembly
717: #ifdef LAND_SUPPORT_CPU_ASS
718: const PetscInt fOff = (fieldA * Nb + f) * totDim + fieldA * Nb + g;
719: d_elem_mats(b_id, grid, loc_elem, fOff) = t;
720: #endif
721: } else {
722: static_cast<void>(landau_mat_assemble(d_coo_vals, t, f, g, Nb, moffset, loc_elem, fieldA, maps[grid], d_coo_elem_offsets, d_coo_elem_fullNb, d_coo_elem_point_offsets, b_elem_idx, b_id * coo_sz_batch));
723: }
724: });
725: });
726: }
727: }
728: } // scope with 'grid'
729: };
730: #if defined(PETSC_HAVE_HIP)
731: const int lbound2 = 1;
732: #else
733: const int lbound2 = 2;
734: #endif
735: PetscCall(PetscLogEventBegin(events[4], 0, 0, 0, 0));
736: PetscCall(PetscLogGpuTimeBegin());
737: PetscCall(PetscInfo(plex[0], "Jacobian shared memory size: %zu bytes in level %s (max shared=%zu), num cells total=%d, team size=%d, vector size=%d, #face=%d, Nf_max=%d\n", jac_scr_bytes, jac_shared_level == 0 ? "local" : "global", maximum_shared_mem_size, (int)(num_cells_batch * batch_sz), team_size, vector_size, nfaces, (int)Nf_max));
738: Kokkos::parallel_for("Jacobian", Kokkos::TeamPolicy<Kokkos::LaunchBounds<256, lbound2>>(num_cells_batch * batch_sz, team_size, vector_size).set_scratch_size(jac_shared_level, Kokkos::PerTeam(jac_scr_bytes)), jac_lambda); // Kokkos::LaunchBounds<512,2>
739: Kokkos::fence();
740: PetscCall(PetscLogGpuTimeEnd());
741: PetscCall(PetscLogEventEnd(events[4], 0, 0, 0, 0));
742: if (d_vertex_f_k) delete d_vertex_f_k;
743: } else { // mass
744: PetscCall(PetscLogEventBegin(events[16], 0, 0, 0, 0));
745: PetscCall(PetscLogGpuTimeBegin());
746: PetscCall(PetscInfo(plex[0], "Mass team size=%d vector size=%d #face=%d Nb=%" PetscInt_FMT ", %s assembly\n", team_size, vector_size, nfaces, Nb, d_coo_vals ? "COO" : "CSR"));
747: Kokkos::parallel_for(
748: "Mass", Kokkos::TeamPolicy<>(num_cells_batch * batch_sz, team_size, vector_size), KOKKOS_LAMBDA(const team_member team) { // Kokkos::LaunchBounds<512,4>
749: const PetscInt b_Nelem = d_elem_offset[num_grids], b_elem_idx = team.league_rank() % b_Nelem, b_id = team.league_rank() / b_Nelem;
750: // find my grid
751: PetscInt grid = 0;
752: while (b_elem_idx >= d_elem_offset[grid + 1]) grid++;
753: {
754: const PetscInt loc_Nf = d_species_offset[grid + 1] - d_species_offset[grid], loc_elem = b_elem_idx - d_elem_offset[grid], jpidx_0 = d_ip_offset[grid] + loc_elem * Nq;
755: #ifdef LAND_SUPPORT_CPU_ASS
756: const PetscInt totDim = loc_Nf * Nb;
757: #endif
758: const PetscInt moffset = LAND_MOFFSET(b_id, grid, batch_sz, num_grids, d_mat_offset);
759: for (int fieldA = 0; fieldA < loc_Nf; fieldA++) {
760: /* assemble */
761: Kokkos::parallel_for(Kokkos::TeamThreadRange(team, 0, Nb), [=](int f) {
762: Kokkos::parallel_for(Kokkos::ThreadVectorRange(team, 0, Nb), [=](int g) {
763: PetscScalar t = 0;
764: for (int qj = 0; qj < Nq; qj++) { // look at others integration points
765: const PetscReal *BJq = &d_BB[qj * Nb];
766: const PetscInt jpidx_glb = jpidx_0 + qj;
767: if (dim == 2) {
768: t += BJq[f] * d_w_k(jpidx_glb) * shift * BJq[g] * 2. * PETSC_PI;
769: } else {
770: t += BJq[f] * d_w_k(jpidx_glb) * shift * BJq[g];
771: }
772: }
773: if (elem_mat_num_cells_max_grid) {
774: #ifdef LAND_SUPPORT_CPU_ASS
775: const PetscInt fOff = (fieldA * Nb + f) * totDim + fieldA * Nb + g;
776: d_elem_mats(b_id, grid, loc_elem, fOff) = t;
777: #endif
778: } else {
779: static_cast<void>(landau_mat_assemble(d_coo_vals, t, f, g, Nb, moffset, loc_elem, fieldA, maps[grid], d_coo_elem_offsets, d_coo_elem_fullNb, d_coo_elem_point_offsets, b_elem_idx, b_id * coo_sz_batch));
780: }
781: });
782: });
783: } // field
784: } // grid
785: });
786: Kokkos::fence();
787: PetscCall(PetscLogGpuTimeEnd());
788: PetscCall(PetscLogEventEnd(events[16], 0, 0, 0, 0));
789: }
790: if (d_coo_vals) {
791: PetscCall(MatSetValuesCOO(JacP, d_coo_vals, ADD_VALUES));
792: #ifndef LAND_SUPPORT_CPU_ASS
793: Kokkos::fence(); // for timers
794: #endif
795: } else if (elem_mat_num_cells_max_grid) { // CPU assembly
796: #ifdef LAND_SUPPORT_CPU_ASS
797: Kokkos::View<PetscScalar ****, Kokkos::LayoutRight>::HostMirror h_elem_mats = Kokkos::create_mirror_view(d_elem_mats);
798: Kokkos::deep_copy(h_elem_mats, d_elem_mats);
799: PetscCheck(!container, PETSC_COMM_SELF, PETSC_ERR_PLIB, "?????");
800: for (PetscInt b_id = 0; b_id < batch_sz; b_id++) { // OpenMP (once)
801: for (PetscInt grid = 0; grid < num_grids; grid++) {
802: PetscSection section, globalSection;
803: PetscInt cStart, cEnd;
804: Mat B = subJ[LAND_PACK_IDX(b_id, grid)];
805: PetscInt moffset = LAND_MOFFSET(b_id, grid, batch_sz, num_grids, a_mat_offset), nloc, nzl, colbuf[1024], row;
806: const PetscInt *cols;
807: const PetscScalar *vals;
808: PetscCall(PetscLogEventBegin(events[5], 0, 0, 0, 0));
809: PetscCall(DMPlexGetHeightStratum(plex[grid], 0, &cStart, &cEnd));
810: PetscCall(DMGetLocalSection(plex[grid], §ion));
811: PetscCall(DMGetGlobalSection(plex[grid], &globalSection));
812: PetscCall(PetscLogEventEnd(events[5], 0, 0, 0, 0));
813: PetscCall(PetscLogEventBegin(events[6], 0, 0, 0, 0));
814: for (PetscInt ej = cStart; ej < cEnd; ++ej) {
815: const PetscScalar *elMat = &h_elem_mats(b_id, grid, ej - cStart, 0);
816: PetscCall(DMPlexMatSetClosure(plex[grid], section, globalSection, B, ej, elMat, ADD_VALUES));
817: if (grid == 0 && ej == -1) {
818: const PetscInt loc_Nf = a_species_offset[grid + 1] - a_species_offset[grid], totDim = loc_Nf * Nb;
819: int d, f;
820: PetscPrintf(PETSC_COMM_SELF, "Kokkos Element matrix %d/%d\n", 1, (int)a_numCells[grid]);
821: for (d = 0; d < totDim; ++d) {
822: for (f = 0; f < totDim; ++f) PetscPrintf(PETSC_COMM_SELF, " %12.5e", PetscRealPart(elMat[d * totDim + f]));
823: PetscPrintf(PETSC_COMM_SELF, "\n");
824: }
825: exit(14);
826: }
827: }
828: // move nest matrix to global JacP
829: PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
830: PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
831: PetscCall(MatGetSize(B, &nloc, NULL));
832: for (int i = 0; i < nloc; i++) {
833: PetscCall(MatGetRow(B, i, &nzl, &cols, &vals));
834: PetscCheck(nzl <= 1024, PetscObjectComm((PetscObject)B), PETSC_ERR_PLIB, "Row too big: %" PetscInt_FMT, nzl);
835: for (int j = 0; j < nzl; j++) colbuf[j] = cols[j] + moffset;
836: row = i + moffset;
837: PetscCall(MatSetValues(JacP, 1, &row, nzl, colbuf, vals, ADD_VALUES));
838: PetscCall(MatRestoreRow(B, i, &nzl, &cols, &vals));
839: }
840: PetscCall(MatDestroy(&subJ[LAND_PACK_IDX(b_id, grid)]));
841: PetscCall(PetscLogEventEnd(events[6], 0, 0, 0, 0));
842: } // grids
843: }
844: #else
845: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "CPU assembly not supported");
846: #endif
847: }
848: PetscFunctionReturn(PETSC_SUCCESS);
849: }
850: } // extern "C"
851: #endif