1 // Copyright (c) 2017-2018, Lawrence Livermore National Security, LLC. 2 // Produced at the Lawrence Livermore National Laboratory. LLNL-CODE-734707. 3 // All Rights reserved. See files LICENSE and NOTICE for details. 4 // 5 // This file is part of CEED, a collection of benchmarks, miniapps, software 6 // libraries and APIs for efficient high-order finite element and spectral 7 // element discretizations for exascale applications. For more information and 8 // source code availability see http://github.com/ceed. 9 // 10 // The CEED research is supported by the Exascale Computing Project 17-SC-20-SC, 11 // a collaborative effort of two U.S. Department of Energy organizations (Office 12 // of Science and the National Nuclear Security Administration) responsible for 13 // the planning and preparation of a capable exascale ecosystem, including 14 // software, applications, hardware, advanced system engineering and early 15 // testbed platforms, in support of the nation's exascale computing imperative. 16 17 #define CEED_DEBUG_COLOR 12 18 19 #include <ceed/ceed.h> 20 #include <ceed/backend.h> 21 #include <cuda_runtime.h> 22 #include <iostream> 23 #include <sstream> 24 #include "ceed-cuda-gen.h" 25 #include "../cuda-shared/ceed-cuda-shared.h" 26 27 static const char *atomicAdd = QUOTE( 28 //------------------------------------------------------------------------------ 29 // Atomic add, for older CUDA 30 //------------------------------------------------------------------------------ 31 __device__ double atomicAdd(double *address, double val) { 32 unsigned long long int *address_as_ull = (unsigned long long int *)address; 33 unsigned long long int old = *address_as_ull, assumed; 34 do { 35 assumed = old; 36 old = 37 atomicCAS(address_as_ull, assumed, 38 __double_as_longlong(val + 39 __longlong_as_double(assumed))); 40 // Note: uses integer comparison to avoid hang in case of NaN 41 // (since NaN != NaN) 42 } while (assumed != old); 43 return __longlong_as_double(old); 44 } 45 ); 46 47 static const char *deviceFunctions = QUOTE( 48 49 //------------------------------------------------------------------------------ 50 // Typedefs 51 //------------------------------------------------------------------------------ 52 typedef struct { const CeedScalar* in[16]; CeedScalar* out[16]; } CudaFields; 53 typedef struct { CeedInt* in[16]; CeedInt* out[16]; } CudaFieldsInt; 54 55 typedef struct { 56 CeedInt tidx; 57 CeedInt tidy; 58 CeedInt tidz; 59 CeedInt tid; 60 CeedScalar* slice; 61 } BackendData; 62 63 //------------------------------------------------------------------------------ 64 // Load matrices for basis actions 65 //------------------------------------------------------------------------------ 66 template <int P, int Q> 67 inline __device__ void loadMatrix(BackendData& data, const CeedScalar* d_B, CeedScalar* B) { 68 for (CeedInt i = data.tid; i < P*Q; i += blockDim.x*blockDim.y*blockDim.z) 69 B[i] = d_B[i]; 70 } 71 72 //------------------------------------------------------------------------------ 73 // 1D 74 //------------------------------------------------------------------------------ 75 76 //------------------------------------------------------------------------------ 77 // L-vector -> E-vector, offsets provided 78 //------------------------------------------------------------------------------ 79 template <int NCOMP, int COMPSTRIDE, int P1d> 80 inline __device__ void readDofsOffset1d(BackendData& data, const CeedInt nnodes, const CeedInt elem, const CeedInt* indices, const CeedScalar* d_u, CeedScalar* r_u) { 81 if (data.tidx < P1d) { 82 const CeedInt node = data.tidx; 83 const CeedInt ind = indices[node + elem * P1d]; 84 for (CeedInt comp = 0; comp < NCOMP; ++comp) 85 r_u[comp] = d_u[ind + COMPSTRIDE * comp]; 86 } 87 } 88 89 //------------------------------------------------------------------------------ 90 // L-vector -> E-vector, strided 91 //------------------------------------------------------------------------------ 92 template <int NCOMP, int P1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 93 inline __device__ void readDofsStrided1d(BackendData& data, const CeedInt elem, const CeedScalar* d_u, CeedScalar* r_u) { 94 if (data.tidx < P1d) { 95 const CeedInt node = data.tidx; 96 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 97 for (CeedInt comp = 0; comp < NCOMP; ++comp) 98 r_u[comp] = d_u[ind + comp * STRIDES_COMP]; 99 } 100 } 101 102 //------------------------------------------------------------------------------ 103 // E-vector -> L-vector, offsets provided 104 //------------------------------------------------------------------------------ 105 template <int NCOMP, int COMPSTRIDE, int P1d> 106 inline __device__ void writeDofsOffset1d(BackendData& data, const CeedInt nnodes, const CeedInt elem, const CeedInt* indices, const CeedScalar* r_v, CeedScalar* d_v) { 107 if (data.tidx < P1d) { 108 const CeedInt node = data.tidx; 109 const CeedInt ind = indices[node + elem * P1d]; 110 for (CeedInt comp = 0; comp < NCOMP; ++comp) 111 atomicAdd(&d_v[ind + COMPSTRIDE * comp], r_v[comp]); 112 } 113 } 114 115 //------------------------------------------------------------------------------ 116 // E-vector -> L-vector, strided 117 //------------------------------------------------------------------------------ 118 template <int NCOMP, int P1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 119 inline __device__ void writeDofsStrided1d(BackendData& data, const CeedInt elem, const CeedScalar* r_v, CeedScalar* d_v) { 120 if (data.tidx < P1d) { 121 const CeedInt node = data.tidx; 122 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 123 for (CeedInt comp = 0; comp < NCOMP; ++comp) 124 d_v[ind + comp * STRIDES_COMP] += r_v[comp]; 125 } 126 } 127 128 //------------------------------------------------------------------------------ 129 // 1D tensor contraction x 130 //------------------------------------------------------------------------------ 131 template <int NCOMP, int P1d, int Q1d> 132 inline __device__ void ContractX1d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 133 data.slice[data.tidx] = *U; 134 __syncthreads(); 135 *V = 0.0; 136 if (data.tidx < Q1d) 137 for (CeedInt i = 0; i < P1d; ++i) 138 *V += B[i + data.tidx*P1d] * data.slice[i]; // Contract x direction 139 __syncthreads(); 140 } 141 142 //------------------------------------------------------------------------------ 143 // 1D transpose tensor contraction x 144 //------------------------------------------------------------------------------ 145 template <int NCOMP, int P1d, int Q1d> 146 inline __device__ void ContractTransposeX1d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 147 data.slice[data.tidx] = *U; 148 __syncthreads(); 149 *V = 0.0; 150 if (data.tidx < P1d) 151 for (CeedInt i = 0; i < Q1d; ++i) 152 *V += B[data.tidx + i*P1d] * data.slice[i]; // Contract x direction 153 __syncthreads(); 154 } 155 156 //------------------------------------------------------------------------------ 157 // 1D interpolate to quadrature points 158 //------------------------------------------------------------------------------ 159 template <int NCOMP, int P1d, int Q1d> 160 inline __device__ void interp1d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, CeedScalar *__restrict__ r_V) { 161 for (CeedInt comp = 0; comp < NCOMP; comp++) 162 ContractX1d<NCOMP, P1d, Q1d>(data, r_U + comp, c_B, r_V + comp); 163 } 164 165 //------------------------------------------------------------------------------ 166 // 1D interpolate transpose 167 //------------------------------------------------------------------------------ 168 template <int NCOMP, int P1d, int Q1d> 169 inline __device__ void interpTranspose1d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, CeedScalar *__restrict__ r_V) { 170 for (CeedInt comp=0; comp<NCOMP; comp++) 171 ContractTransposeX1d<NCOMP, P1d, Q1d>(data, r_U + comp, c_B, r_V + comp); 172 } 173 174 //------------------------------------------------------------------------------ 175 // 1D derivatives at quadrature points 176 //------------------------------------------------------------------------------ 177 template <int NCOMP, int P1d, int Q1d> 178 inline __device__ void grad1d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, const CeedScalar *c_G, CeedScalar *__restrict__ r_V) { 179 for (CeedInt comp = 0; comp < NCOMP; comp++) 180 ContractX1d<NCOMP, P1d, Q1d>(data, r_U + comp, c_G, r_V + comp); 181 } 182 183 //------------------------------------------------------------------------------ 184 // 1D derivatives transpose 185 //------------------------------------------------------------------------------ 186 template <int NCOMP, int P1d, int Q1d> 187 inline __device__ void gradTranspose1d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, const CeedScalar *c_G, CeedScalar *__restrict__ r_V) { 188 for (CeedInt comp = 0; comp < NCOMP; comp++) 189 ContractTransposeX1d<NCOMP, P1d, Q1d>(data, r_U + comp, c_G, r_V + comp); 190 } 191 192 //------------------------------------------------------------------------------ 193 // 2D 194 //------------------------------------------------------------------------------ 195 196 //------------------------------------------------------------------------------ 197 // L-vector -> E-vector, offsets provided 198 //------------------------------------------------------------------------------ 199 template <int NCOMP, int COMPSTRIDE, int P1d> 200 inline __device__ void readDofsOffset2d(BackendData& data, const CeedInt nnodes, const CeedInt elem, const CeedInt* indices, const CeedScalar* d_u, CeedScalar* r_u) { 201 if (data.tidx < P1d && data.tidy < P1d) { 202 const CeedInt node = data.tidx + data.tidy*P1d; 203 const CeedInt ind = indices[node + elem * P1d*P1d]; 204 for (CeedInt comp = 0; comp < NCOMP; ++comp) 205 r_u[comp] = d_u[ind + COMPSTRIDE * comp]; 206 } 207 } 208 209 //------------------------------------------------------------------------------ 210 // L-vector -> E-vector, strided 211 //------------------------------------------------------------------------------ 212 template <int NCOMP, int P1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 213 inline __device__ void readDofsStrided2d(BackendData& data, const CeedInt elem, const CeedScalar* d_u, CeedScalar* r_u) { 214 if (data.tidx < P1d && data.tidy < P1d) { 215 const CeedInt node = data.tidx + data.tidy*P1d; 216 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 217 for (CeedInt comp = 0; comp < NCOMP; ++comp) 218 r_u[comp] = d_u[ind + comp * STRIDES_COMP]; 219 } 220 } 221 222 //------------------------------------------------------------------------------ 223 // E-vector -> L-vector, offsets provided 224 //------------------------------------------------------------------------------ 225 template <int NCOMP, int COMPSTRIDE, int P1d> 226 inline __device__ void writeDofsOffset2d(BackendData& data, const CeedInt nnodes, const CeedInt elem, const CeedInt* indices, const CeedScalar* r_v, CeedScalar* d_v) { 227 if (data.tidx < P1d && data.tidy < P1d) { 228 const CeedInt node = data.tidx + data.tidy*P1d; 229 const CeedInt ind = indices[node + elem * P1d*P1d]; 230 for (CeedInt comp = 0; comp < NCOMP; ++comp) 231 atomicAdd(&d_v[ind + COMPSTRIDE * comp], r_v[comp]); 232 } 233 } 234 235 //------------------------------------------------------------------------------ 236 // E-vector -> L-vector, strided 237 //------------------------------------------------------------------------------ 238 template <int NCOMP, int P1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 239 inline __device__ void writeDofsStrided2d(BackendData& data, const CeedInt elem, const CeedScalar* r_v, CeedScalar* d_v) { 240 if (data.tidx < P1d && data.tidy < P1d) { 241 const CeedInt node = data.tidx + data.tidy*P1d; 242 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 243 for (CeedInt comp = 0; comp < NCOMP; ++comp) 244 d_v[ind + comp * STRIDES_COMP] += r_v[comp]; 245 } 246 } 247 248 //------------------------------------------------------------------------------ 249 // 2D tensor contraction x 250 //------------------------------------------------------------------------------ 251 template <int NCOMP, int P1d, int Q1d> 252 inline __device__ void ContractX2d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 253 data.slice[data.tidx+data.tidy*T1d] = *U; 254 __syncthreads(); 255 *V = 0.0; 256 if (data.tidx < Q1d && data.tidy < P1d) 257 for (CeedInt i = 0; i < P1d; ++i) 258 *V += B[i + data.tidx*P1d] * data.slice[i + data.tidy*T1d]; // Contract x direction 259 __syncthreads(); 260 } 261 262 //------------------------------------------------------------------------------ 263 // 2D tensor contract y 264 //------------------------------------------------------------------------------ 265 template <int NCOMP, int P1d, int Q1d> 266 inline __device__ void ContractY2d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 267 data.slice[data.tidx+data.tidy*T1d] = *U; 268 __syncthreads(); 269 *V = 0.0; 270 if (data.tidx < Q1d && data.tidy < Q1d) 271 for (CeedInt i = 0; i < P1d; ++i) 272 *V += B[i + data.tidy*P1d] * data.slice[data.tidx + i*T1d]; // Contract y direction 273 __syncthreads(); 274 } 275 276 //------------------------------------------------------------------------------ 277 // 2D transpose tensor contract y 278 //------------------------------------------------------------------------------ 279 template <int NCOMP, int P1d, int Q1d> 280 inline __device__ void ContractYTranspose2d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 281 data.slice[data.tidx+data.tidy*T1d] = *U; 282 __syncthreads(); 283 *V = 0.0; 284 if (data.tidx < Q1d && data.tidy < P1d) 285 for (CeedInt i = 0; i < Q1d; ++i) 286 *V += B[data.tidy + i*P1d] * data.slice[data.tidx + i*T1d]; // Contract y direction 287 __syncthreads(); 288 } 289 290 //------------------------------------------------------------------------------ 291 // 2D transpose tensor contract x 292 //------------------------------------------------------------------------------ 293 template <int NCOMP, int P1d, int Q1d> 294 inline __device__ void ContractXTranspose2d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 295 data.slice[data.tidx+data.tidy*T1d] = *U; 296 __syncthreads(); 297 *V = 0.0; 298 if (data.tidx < P1d && data.tidy < P1d) 299 for (CeedInt i = 0; i < Q1d; ++i) 300 *V += B[data.tidx + i*P1d] * data.slice[i + data.tidy*T1d]; // Contract x direction 301 __syncthreads(); 302 } 303 304 //------------------------------------------------------------------------------ 305 // 2D transpose tensor contract and add x 306 //------------------------------------------------------------------------------ 307 template <int NCOMP, int P1d, int Q1d> 308 inline __device__ void ContractXTransposeAdd2d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 309 data.slice[data.tidx+data.tidy*T1d] = *U; 310 __syncthreads(); 311 if (data.tidx < P1d && data.tidy < P1d) 312 for (CeedInt i = 0; i < Q1d; ++i) 313 *V += B[data.tidx + i*P1d] * data.slice[i + data.tidy*T1d]; // Contract x direction 314 __syncthreads(); 315 } 316 317 //------------------------------------------------------------------------------ 318 // 2D interpolate to quadrature points 319 //------------------------------------------------------------------------------ 320 template <int NCOMP, int P1d, int Q1d> 321 inline __device__ void interp2d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, CeedScalar *__restrict__ r_V) { 322 CeedScalar r_t[1]; 323 for (CeedInt comp = 0; comp < NCOMP; comp++) { 324 ContractX2d<NCOMP, P1d, Q1d>(data, r_U + comp, c_B, r_t); 325 ContractY2d<NCOMP, P1d, Q1d>(data, r_t, c_B, r_V + comp); 326 } 327 } 328 329 //------------------------------------------------------------------------------ 330 // 2D interpolate transpose 331 //------------------------------------------------------------------------------ 332 template <int NCOMP, int P1d, int Q1d> 333 inline __device__ void interpTranspose2d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, CeedScalar *__restrict__ r_V) { 334 CeedScalar r_t[1]; 335 for (CeedInt comp = 0; comp < NCOMP; comp++) { 336 ContractYTranspose2d<NCOMP, P1d, Q1d>(data, r_U + comp, c_B, r_t); 337 ContractXTranspose2d<NCOMP, P1d, Q1d>(data, r_t, c_B, r_V + comp); 338 } 339 } 340 341 //------------------------------------------------------------------------------ 342 // 2D derivatives at quadrature points 343 //------------------------------------------------------------------------------ 344 template <int NCOMP, int P1d, int Q1d> 345 inline __device__ void grad2d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, const CeedScalar *c_G, CeedScalar *__restrict__ r_V) { 346 CeedScalar r_t[1]; 347 for (CeedInt comp = 0; comp < NCOMP; comp++) { 348 ContractX2d<NCOMP, P1d, Q1d>(data, r_U + comp, c_G, r_t); 349 ContractY2d<NCOMP, P1d, Q1d>(data, r_t, c_B, r_V + comp + 0*NCOMP); 350 ContractX2d<NCOMP, P1d, Q1d>(data, r_U + comp, c_B, r_t); 351 ContractY2d<NCOMP, P1d, Q1d>(data, r_t, c_G, r_V + comp + 1*NCOMP); 352 } 353 } 354 355 //------------------------------------------------------------------------------ 356 // 2D derivatives transpose 357 //------------------------------------------------------------------------------ 358 template <int NCOMP, int P1d, int Q1d> 359 inline __device__ void gradTranspose2d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, const CeedScalar *c_G, CeedScalar *__restrict__ r_V) { 360 CeedScalar r_t[1]; 361 for (CeedInt comp = 0; comp < NCOMP; comp++) { 362 ContractYTranspose2d<NCOMP, P1d, Q1d>(data, r_U + comp + 0*NCOMP, c_B, r_t); 363 ContractXTranspose2d<NCOMP, P1d, Q1d>(data, r_t, c_G, r_V + comp); 364 ContractYTranspose2d<NCOMP, P1d, Q1d>(data, r_U + comp + 1*NCOMP, c_G, r_t); 365 ContractXTransposeAdd2d<NCOMP, P1d, Q1d>(data, r_t, c_B, r_V + comp); 366 } 367 } 368 369 //------------------------------------------------------------------------------ 370 // 3D 371 //------------------------------------------------------------------------------ 372 373 //------------------------------------------------------------------------------ 374 // L-vector -> E-vector, offsets provided 375 //------------------------------------------------------------------------------ 376 template <int NCOMP, int COMPSTRIDE, int P1d> 377 inline __device__ void readDofsOffset3d(BackendData& data, const CeedInt nnodes, const CeedInt elem, const CeedInt* indices, const CeedScalar* d_u, CeedScalar* r_u) { 378 if (data.tidx < P1d && data.tidy < P1d) 379 for (CeedInt z = 0; z < P1d; ++z) { 380 const CeedInt node = data.tidx + data.tidy*P1d + z*P1d*P1d; 381 const CeedInt ind = indices[node + elem * P1d*P1d*P1d]; 382 for (CeedInt comp = 0; comp < NCOMP; ++comp) 383 r_u[z+comp*P1d] = d_u[ind + COMPSTRIDE * comp]; 384 } 385 } 386 387 //------------------------------------------------------------------------------ 388 // L-vector -> E-vector, strided 389 //------------------------------------------------------------------------------ 390 template <int NCOMP, int P1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 391 inline __device__ void readDofsStrided3d(BackendData& data, const CeedInt elem, const CeedScalar* d_u, CeedScalar* r_u) { 392 if (data.tidx < P1d && data.tidy < P1d) 393 for (CeedInt z = 0; z < P1d; ++z) { 394 const CeedInt node = data.tidx + data.tidy*P1d + z*P1d*P1d; 395 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 396 for (CeedInt comp = 0; comp < NCOMP; ++comp) 397 r_u[z+comp*P1d] = d_u[ind + comp * STRIDES_COMP]; 398 } 399 } 400 401 //------------------------------------------------------------------------------ 402 // E-vector -> Q-vector, offests provided 403 //------------------------------------------------------------------------------ 404 template <int NCOMP, int COMPSTRIDE, int Q1d> 405 inline __device__ void readSliceQuadsOffset3d(BackendData& data, const CeedInt nquads, const CeedInt elem, const CeedInt q, const CeedInt* indices, const CeedScalar* d_u, CeedScalar* r_u) { 406 if (data.tidx < Q1d && data.tidy < Q1d) { 407 const CeedInt node = data.tidx + data.tidy*Q1d + q*Q1d*Q1d; 408 const CeedInt ind = indices[node + elem * Q1d*Q1d*Q1d];; 409 for (CeedInt comp = 0; comp < NCOMP; ++comp) 410 r_u[comp] = d_u[ind + COMPSTRIDE * comp]; 411 } 412 } 413 414 //------------------------------------------------------------------------------ 415 // E-vector -> Q-vector, strided 416 //------------------------------------------------------------------------------ 417 template <int NCOMP, int Q1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 418 inline __device__ void readSliceQuadsStrided3d(BackendData& data, const CeedInt elem, const CeedInt q, const CeedScalar* d_u, CeedScalar* r_u) { 419 if (data.tidx < Q1d && data.tidy < Q1d) { 420 const CeedInt node = data.tidx + data.tidy*Q1d + q*Q1d*Q1d; 421 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 422 for (CeedInt comp = 0; comp < NCOMP; ++comp) 423 r_u[comp] = d_u[ind + comp * STRIDES_COMP]; 424 } 425 } 426 427 //------------------------------------------------------------------------------ 428 // E-vector -> L-vector, offsets provided 429 //------------------------------------------------------------------------------ 430 template <int NCOMP, int COMPSTRIDE, int P1d> 431 inline __device__ void writeDofsOffset3d(BackendData& data, const CeedInt nnodes, const CeedInt elem, const CeedInt* indices, const CeedScalar* r_v, CeedScalar* d_v) { 432 if (data.tidx < P1d && data.tidy < P1d) 433 for (CeedInt z = 0; z < P1d; ++z) { 434 const CeedInt node = data.tidx + data.tidy*P1d + z*P1d*P1d; 435 const CeedInt ind = indices[node + elem * P1d*P1d*P1d]; 436 for (CeedInt comp = 0; comp < NCOMP; ++comp) 437 atomicAdd(&d_v[ind + COMPSTRIDE * comp], r_v[z+comp*P1d]); 438 } 439 } 440 441 //------------------------------------------------------------------------------ 442 // E-vector -> L-vector, strided 443 //------------------------------------------------------------------------------ 444 template <int NCOMP, int P1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 445 inline __device__ void writeDofsStrided3d(BackendData& data, const CeedInt elem, const CeedScalar* r_v, CeedScalar* d_v) { 446 if (data.tidx < P1d && data.tidy < P1d) 447 for (CeedInt z = 0; z < P1d; ++z) { 448 const CeedInt node = data.tidx + data.tidy*P1d + z*P1d*P1d; 449 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 450 for (CeedInt comp = 0; comp < NCOMP; ++comp) 451 d_v[ind + comp * STRIDES_COMP] += r_v[z+comp*P1d]; 452 } 453 } 454 455 //------------------------------------------------------------------------------ 456 // 3D tensor contract x 457 //------------------------------------------------------------------------------ 458 template <int NCOMP, int P1d, int Q1d> 459 inline __device__ void ContractX3d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 460 CeedScalar r_B[P1d]; 461 for (CeedInt i = 0; i < P1d; ++i) 462 r_B[i] = B[i + data.tidx*P1d]; 463 464 for (CeedInt k = 0; k < P1d; ++k) { 465 data.slice[data.tidx+data.tidy*T1d] = U[k]; 466 __syncthreads(); 467 V[k] = 0.0; 468 if (data.tidx < Q1d && data.tidy < P1d) 469 for (CeedInt i = 0; i < P1d; ++i) 470 V[k] += r_B[i] * data.slice[i + data.tidy*T1d]; // Contract x direction 471 __syncthreads(); 472 } 473 } 474 475 //------------------------------------------------------------------------------ 476 // 3D tensor contract y 477 //------------------------------------------------------------------------------ 478 template <int NCOMP, int P1d, int Q1d> 479 inline __device__ void ContractY3d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 480 CeedScalar r_B[P1d]; 481 for (CeedInt i = 0; i < P1d; ++i) 482 r_B[i] = B[i + data.tidy*P1d]; 483 484 for (CeedInt k = 0; k < P1d; ++k) { 485 data.slice[data.tidx+data.tidy*T1d] = U[k]; 486 __syncthreads(); 487 V[k] = 0.0; 488 if (data.tidx < Q1d && data.tidy < Q1d) 489 for (CeedInt i = 0; i < P1d; ++i) 490 V[k] += r_B[i] * data.slice[data.tidx + i*T1d]; // Contract y direction 491 __syncthreads(); 492 } 493 } 494 495 //------------------------------------------------------------------------------ 496 // 3D tensor contract z 497 //------------------------------------------------------------------------------ 498 template <int NCOMP, int P1d, int Q1d> 499 inline __device__ void ContractZ3d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 500 for (CeedInt k = 0; k < Q1d; ++k) { 501 V[k] = 0.0; 502 if (data.tidx < Q1d && data.tidy < Q1d) 503 for (CeedInt i = 0; i < P1d; ++i) 504 V[k] += B[i + k*P1d] * U[i]; // Contract z direction 505 } 506 } 507 508 //------------------------------------------------------------------------------ 509 // 3D transpose tensor contract z 510 //------------------------------------------------------------------------------ 511 template <int NCOMP, int P1d, int Q1d> 512 inline __device__ void ContractTransposeZ3d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 513 for (CeedInt k = 0; k < P1d; ++k) { 514 V[k] = 0.0; 515 if (data.tidx < Q1d && data.tidy < Q1d) 516 for (CeedInt i = 0; i < Q1d; ++i) 517 V[k] += B[k + i*P1d] * U[i]; // Contract z direction 518 } 519 } 520 521 //------------------------------------------------------------------------------ 522 // 3D transpose tensor contract y 523 //------------------------------------------------------------------------------ 524 template <int NCOMP, int P1d, int Q1d> 525 inline __device__ void ContractTransposeY3d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 526 CeedScalar r_B[Q1d]; 527 for (CeedInt i = 0; i < Q1d; ++i) 528 r_B[i] = B[data.tidy + i*P1d]; 529 530 for (CeedInt k = 0; k < P1d; ++k) { 531 data.slice[data.tidx+data.tidy*T1d] = U[k]; 532 __syncthreads(); 533 V[k] = 0.0; 534 if (data.tidx < Q1d && data.tidy < P1d) 535 for (CeedInt i = 0; i < Q1d; ++i) 536 V[k] += r_B[i] * data.slice[data.tidx + i*T1d]; // Contract y direction 537 __syncthreads(); 538 } 539 } 540 541 //------------------------------------------------------------------------------ 542 // 3D transpose tensor contract add y 543 //------------------------------------------------------------------------------ 544 template <int NCOMP, int P1d, int Q1d> 545 inline __device__ void ContractTransposeAddY3d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 546 CeedScalar r_B[Q1d]; 547 for (CeedInt i = 0; i < Q1d; ++i) 548 r_B[i] = B[data.tidy + i*P1d]; 549 550 for (CeedInt k = 0; k < P1d; ++k) { 551 data.slice[data.tidx+data.tidy*T1d] = U[k]; 552 __syncthreads(); 553 if (data.tidx < Q1d && data.tidy < P1d) 554 for (CeedInt i = 0; i < Q1d; ++i) 555 V[k] += r_B[i] * data.slice[data.tidx + i*T1d]; // Contract y direction 556 __syncthreads(); 557 } 558 } 559 560 //------------------------------------------------------------------------------ 561 // 3D transpose tensor contract x 562 //------------------------------------------------------------------------------ 563 template <int NCOMP, int P1d, int Q1d> 564 inline __device__ void ContractTransposeX3d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 565 CeedScalar r_B[Q1d]; 566 for (CeedInt i = 0; i < Q1d; ++i) 567 r_B[i] = B[data.tidx + i*P1d]; 568 569 for (CeedInt k = 0; k < P1d; ++k) { 570 data.slice[data.tidx+data.tidy*T1d] = U[k]; 571 __syncthreads(); 572 V[k] = 0.0; 573 if (data.tidx < P1d && data.tidy < P1d) 574 for (CeedInt i = 0; i < Q1d; ++i) 575 V[k] += r_B[i] * data.slice[i + data.tidy*T1d]; // Contract x direction 576 __syncthreads(); 577 } 578 } 579 580 //------------------------------------------------------------------------------ 581 // 3D transpose tensor contract add x 582 //------------------------------------------------------------------------------ 583 template <int NCOMP, int P1d, int Q1d> 584 inline __device__ void ContractTransposeAddX3d(BackendData& data, const CeedScalar *U, const CeedScalar *B, CeedScalar *V) { 585 CeedScalar r_B[Q1d]; 586 for (CeedInt i = 0; i < Q1d; ++i) 587 r_B[i] = B[data.tidx + i*P1d]; 588 589 for (CeedInt k = 0; k < P1d; ++k) { 590 data.slice[data.tidx+data.tidy*T1d] = U[k]; 591 __syncthreads(); 592 if (data.tidx < P1d && data.tidy < P1d) 593 for (CeedInt i = 0; i < Q1d; ++i) 594 V[k] += r_B[i] * data.slice[i + data.tidy*T1d]; // Contract x direction 595 __syncthreads(); 596 } 597 } 598 599 //------------------------------------------------------------------------------ 600 // 3D interpolate to quadrature points 601 //------------------------------------------------------------------------------ 602 template <int NCOMP, int P1d, int Q1d> 603 inline __device__ void interp3d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, CeedScalar *__restrict__ r_V) { 604 CeedScalar r_t1[T1d]; 605 CeedScalar r_t2[T1d]; 606 for (CeedInt comp = 0; comp < NCOMP; comp++) { 607 ContractX3d<NCOMP, P1d, Q1d>(data, r_U + comp*P1d, c_B, r_t1); 608 ContractY3d<NCOMP, P1d, Q1d>(data, r_t1, c_B, r_t2); 609 ContractZ3d<NCOMP, P1d, Q1d>(data, r_t2, c_B, r_V + comp*Q1d); 610 } 611 } 612 613 //------------------------------------------------------------------------------ 614 // 3D interpolate transpose 615 //------------------------------------------------------------------------------ 616 template <int NCOMP, int P1d, int Q1d> 617 inline __device__ void interpTranspose3d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, CeedScalar *__restrict__ r_V) { 618 CeedScalar r_t1[T1d]; 619 CeedScalar r_t2[T1d]; 620 for (CeedInt comp = 0; comp < NCOMP; comp++) { 621 ContractTransposeZ3d<NCOMP, P1d, Q1d>(data, r_U + comp*Q1d, c_B, r_t1); 622 ContractTransposeY3d<NCOMP, P1d, Q1d>(data, r_t1, c_B, r_t2); 623 ContractTransposeX3d<NCOMP, P1d, Q1d>(data, r_t2, c_B, r_V + comp*P1d); 624 } 625 } 626 627 //------------------------------------------------------------------------------ 628 // 3D derivatives at quadrature points 629 //------------------------------------------------------------------------------ 630 template <int NCOMP, int P1d, int Q1d> 631 inline __device__ void grad3d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, const CeedScalar *c_G, CeedScalar *__restrict__ r_V) { 632 CeedScalar r_t1[T1d]; 633 CeedScalar r_t2[T1d]; 634 for (CeedInt comp = 0; comp < NCOMP; comp++) { 635 ContractX3d<NCOMP, P1d, Q1d>(data, r_U + comp*P1d, c_G, r_t1); 636 ContractY3d<NCOMP, P1d, Q1d>(data, r_t1, c_B, r_t2); 637 ContractZ3d<NCOMP, P1d, Q1d>(data, r_t2, c_B, r_V + comp*Q1d + 0*NCOMP*Q1d); 638 ContractX3d<NCOMP, P1d, Q1d>(data, r_U + comp*P1d, c_B, r_t1); 639 ContractY3d<NCOMP, P1d, Q1d>(data, r_t1, c_G, r_t2); 640 ContractZ3d<NCOMP, P1d, Q1d>(data, r_t2, c_B, r_V + comp*Q1d + 1*NCOMP*Q1d); 641 ContractX3d<NCOMP, P1d, Q1d>(data, r_U + comp*P1d, c_B, r_t1); 642 ContractY3d<NCOMP, P1d, Q1d>(data, r_t1, c_B, r_t2); 643 ContractZ3d<NCOMP, P1d, Q1d>(data, r_t2, c_G, r_V + comp*Q1d + 2*NCOMP*Q1d); 644 } 645 } 646 647 //------------------------------------------------------------------------------ 648 // 3D derivatives transpose 649 //------------------------------------------------------------------------------ 650 template <int NCOMP, int P1d, int Q1d> 651 inline __device__ void gradTranspose3d(BackendData& data, const CeedScalar *__restrict__ r_U, const CeedScalar *c_B, const CeedScalar *c_G, CeedScalar *__restrict__ r_V) { 652 CeedScalar r_t1[T1d]; 653 CeedScalar r_t2[T1d]; 654 for (CeedInt comp = 0; comp < NCOMP; comp++) { 655 ContractTransposeZ3d<NCOMP, P1d, Q1d>(data, r_U + comp*Q1d + 0*NCOMP*Q1d, c_B, r_t1); 656 ContractTransposeY3d<NCOMP, P1d, Q1d>(data, r_t1, c_B, r_t2); 657 ContractTransposeX3d<NCOMP, P1d, Q1d>(data, r_t2, c_G, r_V + comp*P1d); 658 ContractTransposeZ3d<NCOMP, P1d, Q1d>(data, r_U + comp*Q1d + 1*NCOMP*Q1d, c_B, r_t1); 659 ContractTransposeY3d<NCOMP, P1d, Q1d>(data, r_t1, c_G, r_t2); 660 ContractTransposeAddX3d<NCOMP,P1d, Q1d>(data, r_t2, c_B, r_V + comp*P1d); 661 ContractTransposeZ3d<NCOMP, P1d, Q1d>(data, r_U + comp*Q1d + 2*NCOMP*Q1d, c_G, r_t1); 662 ContractTransposeY3d<NCOMP, P1d, Q1d>(data, r_t1, c_B, r_t2); 663 ContractTransposeAddX3d<NCOMP, P1d, Q1d>(data, r_t2, c_B, r_V + comp*P1d); 664 } 665 } 666 667 //------------------------------------------------------------------------------ 668 // 3D collocated derivatives computation 669 //------------------------------------------------------------------------------ 670 template <int NCOMP, int Q1d> 671 inline __device__ void gradCollo3d(BackendData& data, const CeedInt q, const CeedScalar *__restrict__ r_U, const CeedScalar *c_G, CeedScalar *__restrict__ r_V) { 672 if (data.tidx < Q1d && data.tidy < Q1d) { 673 for (CeedInt comp = 0; comp < NCOMP; ++comp) { 674 data.slice[data.tidx + data.tidy*T1d] = r_U[q + comp*Q1d]; 675 __syncthreads(); 676 // X derivative 677 r_V[comp+0*NCOMP] = 0.0; 678 for (CeedInt i = 0; i < Q1d; ++i) 679 r_V[comp+0*NCOMP] += c_G[i + data.tidx*Q1d] * data.slice[i + data.tidy*T1d]; // Contract x direction (X derivative) 680 // Y derivative 681 r_V[comp+1*NCOMP] = 0.0; 682 for (CeedInt i = 0; i < Q1d; ++i) 683 r_V[comp+1*NCOMP] += c_G[i + data.tidy*Q1d] * data.slice[data.tidx + i*T1d]; // Contract y direction (Y derivative) 684 // Z derivative 685 r_V[comp+2*NCOMP] = 0.0; 686 for (CeedInt i = 0; i < Q1d; ++i) 687 r_V[comp+2*NCOMP] += c_G[i + q*Q1d] * r_U[i + comp*Q1d]; // Contract z direction (Z derivative) 688 __syncthreads(); 689 } 690 } 691 } 692 693 //------------------------------------------------------------------------------ 694 // 3D collocated derivatives transpose 695 //------------------------------------------------------------------------------ 696 template <int NCOMP, int Q1d> 697 inline __device__ void gradColloTranspose3d(BackendData& data, const CeedInt q, const CeedScalar *__restrict__ r_U, const CeedScalar *c_G, CeedScalar *__restrict__ r_V) { 698 if (data.tidx < Q1d && data.tidy < Q1d) { 699 for (CeedInt comp = 0; comp < NCOMP; ++comp) { 700 // X derivative 701 data.slice[data.tidx + data.tidy*T1d] = r_U[comp + 0*NCOMP]; 702 __syncthreads(); 703 for (CeedInt i = 0; i < Q1d; ++i) 704 r_V[q+comp*Q1d] += c_G[data.tidx + i*Q1d] * data.slice[i + data.tidy*T1d]; // Contract x direction (X derivative) 705 __syncthreads(); 706 // Y derivative 707 data.slice[data.tidx + data.tidy*T1d] = r_U[comp + 1*NCOMP]; 708 __syncthreads(); 709 for (CeedInt i = 0; i < Q1d; ++i) 710 r_V[q+comp*Q1d] += c_G[data.tidy + i*Q1d] * data.slice[data.tidx + i*T1d]; // Contract y direction (Y derivative) 711 __syncthreads(); 712 // Z derivative 713 for (CeedInt i = 0; i < Q1d; ++i) 714 r_V[i+comp*Q1d] += c_G[i + q*Q1d] * r_U[comp + 2*NCOMP]; // PARTIAL contract z direction (Z derivative) 715 } 716 } 717 } 718 719 //------------------------------------------------------------------------------ 720 // 1D quadrature weights 721 //------------------------------------------------------------------------------ 722 template <int Q1d> 723 inline __device__ void weight1d(BackendData& data, const CeedScalar *qweight1d, CeedScalar *w) { 724 *w = (data.tidx < Q1d) ? qweight1d[data.tidx] : 0.0; 725 } 726 727 //------------------------------------------------------------------------------ 728 // 2D quadrature weights 729 //------------------------------------------------------------------------------ 730 template <int Q1d> 731 inline __device__ void weight2d(BackendData& data, const CeedScalar *qweight1d, CeedScalar *w) { 732 *w = (data.tidx < Q1d && data.tidy < Q1d) ? 733 qweight1d[data.tidx]*qweight1d[data.tidy] : 0.0; 734 } 735 736 //------------------------------------------------------------------------------ 737 // 3D quadrature weights 738 //------------------------------------------------------------------------------ 739 template <int Q1d> 740 inline __device__ void weight3d(BackendData& data, const CeedScalar *qweight1d, CeedScalar *w) { 741 const bool quad = (data.tidx < Q1d && data.tidy < Q1d); 742 const CeedScalar pw = quad ? qweight1d[data.tidx]*qweight1d[data.tidy] : 0.0; 743 for (CeedInt z = 0; z < Q1d; ++z) 744 w[z] = quad ? pw*qweight1d[z] : 0.0; 745 } 746 747 ); 748 //------------------------------------------------------------------------------ 749 // Build singe operator kernel 750 //------------------------------------------------------------------------------ 751 extern "C" int CeedCudaGenOperatorBuild(CeedOperator op) { 752 753 using std::ostringstream; 754 using std::string; 755 int ierr; 756 bool setupdone; 757 ierr = CeedOperatorIsSetupDone(op, &setupdone); CeedChkBackend(ierr); 758 if (setupdone) return CEED_ERROR_SUCCESS; 759 Ceed ceed; 760 ierr = CeedOperatorGetCeed(op, &ceed); CeedChkBackend(ierr); 761 CeedOperator_Cuda_gen *data; 762 ierr = CeedOperatorGetData(op, &data); CeedChkBackend(ierr); 763 CeedQFunction qf; 764 CeedQFunction_Cuda_gen *qf_data; 765 ierr = CeedOperatorGetQFunction(op, &qf); CeedChkBackend(ierr); 766 ierr = CeedQFunctionGetData(qf, &qf_data); CeedChkBackend(ierr); 767 CeedInt Q, P1d, Q1d = 0, numelements, elemsize, numinputfields, 768 numoutputfields, ncomp, dim = 0, lsize; 769 ierr = CeedOperatorGetNumQuadraturePoints(op, &Q); CeedChkBackend(ierr); 770 ierr = CeedOperatorGetNumElements(op, &numelements); CeedChkBackend(ierr); 771 ierr = CeedQFunctionGetNumArgs(qf, &numinputfields, &numoutputfields); 772 CeedChkBackend(ierr); 773 CeedOperatorField *opinputfields, *opoutputfields; 774 ierr = CeedOperatorGetFields(op, &opinputfields, &opoutputfields); 775 CeedChkBackend(ierr); 776 CeedQFunctionField *qfinputfields, *qfoutputfields; 777 ierr = CeedQFunctionGetFields(qf, &qfinputfields, &qfoutputfields); 778 CeedChkBackend(ierr); 779 CeedEvalMode emode; 780 CeedBasis basis; 781 CeedBasis_Cuda_shared *basis_data; 782 CeedElemRestriction Erestrict; 783 CeedElemRestriction_Cuda *restr_data; 784 785 // Check for restriction only identity operator 786 bool is_identity_qf; 787 ierr = CeedQFunctionIsIdentity(qf, &is_identity_qf); CeedChkBackend(ierr); 788 if (is_identity_qf) { 789 CeedEvalMode emodein, emodeout; 790 ierr = CeedQFunctionFieldGetEvalMode(qfinputfields[0], &emodein); CeedChkBackend(ierr); 791 ierr = CeedQFunctionFieldGetEvalMode(qfoutputfields[0], &emodeout); CeedChkBackend(ierr); 792 if (emodein == CEED_EVAL_NONE && emodeout == CEED_EVAL_NONE) 793 // LCOV_EXCL_START 794 return CeedError(ceed, CEED_ERROR_BACKEND, 795 "Backend does not implement restriction only identity operators"); 796 // LCOV_EXCL_STOP 797 } 798 799 ostringstream code; 800 string devFunctions(deviceFunctions); 801 802 // Add atomicAdd function for old NVidia architectures 803 struct cudaDeviceProp prop; 804 Ceed_Cuda *ceed_data; 805 ierr = CeedGetData(ceed, &ceed_data); CeedChkBackend(ierr); 806 ierr = cudaGetDeviceProperties(&prop, ceed_data->deviceId); 807 if (prop.major<6){ 808 code << atomicAdd; 809 } 810 811 code << devFunctions; 812 813 string qFunction(qf_data->qFunctionSource); 814 string qFunctionName(qf_data->qFunctionName); 815 string oper; 816 oper = "CeedKernel_Cuda_gen_" + qFunctionName; 817 818 code << "\n#define CEED_QFUNCTION(name) inline __device__ int name\n"; 819 code << "#define CEED_QFUNCTION_HELPER inline __device__\n"; 820 code << "#define CeedPragmaSIMD\n"; 821 code << "#define CEED_ERROR_SUCCESS 0\n\n"; 822 823 // Find dim and Q1d 824 bool useCollograd = true; 825 data->maxP1d = 0; 826 for (CeedInt i = 0; i < numinputfields; i++) { 827 ierr = CeedOperatorFieldGetBasis(opinputfields[i], &basis); CeedChkBackend(ierr); 828 if (basis != CEED_BASIS_COLLOCATED) { 829 ierr = CeedBasisGetData(basis, &basis_data); CeedChkBackend(ierr); 830 ierr = CeedQFunctionFieldGetEvalMode(qfinputfields[i], &emode); 831 CeedChkBackend(ierr); 832 833 // Check for collocated gradient 834 useCollograd = useCollograd && basis_data->d_collograd1d; 835 836 // Collect dim and Q1d 837 ierr = CeedBasisGetDimension(basis, &dim); CeedChkBackend(ierr); 838 bool isTensor; 839 ierr = CeedBasisIsTensor(basis, &isTensor); CeedChkBackend(ierr); 840 if (isTensor) { 841 ierr = CeedBasisGetNumQuadraturePoints1D(basis, &Q1d); CeedChkBackend(ierr); 842 ierr = CeedBasisGetNumNodes1D(basis, &P1d); CeedChkBackend(ierr); 843 if (P1d>data->maxP1d) data->maxP1d = P1d; 844 } else { 845 // LCOV_EXCL_START 846 return CeedError(ceed, CEED_ERROR_BACKEND, "Backend does not implement operators with non-tensor basis"); 847 // LCOV_EXCL_STOP 848 } 849 } 850 } 851 // Check output bases for Q1d, dim as well 852 // The only imput basis might be CEED_BASIS_COLLOCATED 853 for (CeedInt i = 0; i < numoutputfields; i++) { 854 ierr = CeedOperatorFieldGetBasis(opoutputfields[i], &basis); CeedChkBackend(ierr); 855 856 if (basis != CEED_BASIS_COLLOCATED) { 857 ierr = CeedBasisGetData(basis, &basis_data); CeedChkBackend(ierr); 858 ierr = CeedQFunctionFieldGetEvalMode(qfoutputfields[i], &emode); 859 CeedChkBackend(ierr); 860 861 // Collect dim and Q1d 862 ierr = CeedBasisGetDimension(basis, &dim); CeedChkBackend(ierr); 863 bool isTensor; 864 ierr = CeedBasisIsTensor(basis, &isTensor); CeedChkBackend(ierr); 865 if (isTensor) { 866 ierr = CeedBasisGetNumQuadraturePoints1D(basis, &Q1d); CeedChkBackend(ierr); 867 } else { 868 // LCOV_EXCL_START 869 return CeedError(ceed, CEED_ERROR_BACKEND, "Backend does not implement operators with non-tensor basis"); 870 // LCOV_EXCL_STOP 871 } 872 873 // Check for collocated gradient 874 useCollograd = useCollograd && basis_data->d_collograd1d; 875 } 876 } 877 data->dim = dim; 878 data->Q1d = Q1d; 879 880 // Define CEED_Q_VLA 881 if (dim != 3 || useCollograd) { 882 code << "\n#define CEED_Q_VLA 1\n\n"; 883 } else { 884 code << "\n#define CEED_Q_VLA "<<Q1d<<"\n\n"; 885 } 886 887 code << qFunction; 888 889 // Setup 890 code << "\n// -----------------------------------------------------------------------------\n"; 891 code << "\nextern \"C\" __global__ void "<<oper<<"(CeedInt nelem, void* ctx, CudaFieldsInt indices, CudaFields fields, CudaFields B, CudaFields G, CeedScalar* W) {\n"; 892 for (CeedInt i = 0; i < numinputfields; i++) { 893 ierr = CeedQFunctionFieldGetEvalMode(qfinputfields[i], &emode); 894 CeedChkBackend(ierr); 895 if (emode != CEED_EVAL_WEIGHT) { // Skip CEED_EVAL_WEIGHT 896 code << " const CeedScalar* d_u" <<i<<" = fields.in["<<i<<"];\n"; 897 } 898 } 899 900 for (CeedInt i = 0; i < numoutputfields; i++) { 901 code << " CeedScalar* d_v"<<i<<" = fields.out["<<i<<"];\n"; 902 } 903 904 code << " const CeedInt Dim = "<<dim<<";\n"; 905 code << " const CeedInt Q1d = "<<Q1d<<";\n"; 906 907 code << " extern __shared__ CeedScalar slice[];\n"; 908 code << " BackendData data;\n"; 909 code << " data.tidx = threadIdx.x;\n"; 910 code << " data.tidy = threadIdx.y;\n"; 911 code << " data.tidz = threadIdx.z;\n"; 912 code << " data.tid = threadIdx.x + threadIdx.y*blockDim.x + threadIdx.z*blockDim.y*blockDim.x;\n"; 913 code << " data.slice = slice+data.tidz*T1d"<<(dim>1?"*T1d":"")<<";\n"; 914 915 code << "\n // -- Input field constants and basis data --\n"; 916 //Initialize constants, and matrices B and G 917 for (CeedInt i = 0; i < numinputfields; i++) { 918 code << " // ---- Input field "<<i<<" ----\n"; 919 // Get elemsize, emode, ncomp 920 ierr = CeedOperatorFieldGetElemRestriction(opinputfields[i], &Erestrict); 921 CeedChkBackend(ierr); 922 ierr = CeedElemRestrictionGetElementSize(Erestrict, &elemsize); 923 CeedChkBackend(ierr); 924 ierr = CeedQFunctionFieldGetEvalMode(qfinputfields[i], &emode); 925 CeedChkBackend(ierr); 926 ierr = CeedElemRestrictionGetNumComponents(Erestrict, &ncomp); 927 CeedChkBackend(ierr); 928 929 // Set field constants 930 if (emode != CEED_EVAL_WEIGHT) { 931 ierr = CeedOperatorFieldGetBasis(opinputfields[i], &basis); CeedChkBackend(ierr); 932 if (basis != CEED_BASIS_COLLOCATED) { 933 ierr = CeedBasisGetNumNodes1D(basis, &P1d); CeedChkBackend(ierr); 934 code << " const CeedInt P_in_"<<i<<" = "<<P1d<<";\n"; 935 } else { 936 code << " const CeedInt P_in_"<<i<<" = "<<Q1d<<";\n"; 937 } 938 code << " const CeedInt ncomp_in_"<<i<<" = "<<ncomp<<";\n"; 939 } 940 941 // Load basis data 942 code << " // EvalMode: "<<CeedEvalModes[emode]<<"\n"; 943 switch (emode) { 944 case CEED_EVAL_NONE: 945 break; 946 case CEED_EVAL_INTERP: 947 ierr = CeedBasisGetData(basis, &basis_data); CeedChkBackend(ierr); 948 data->B.in[i] = basis_data->d_interp1d; 949 code << " __shared__ double s_B_in_"<<i<<"["<<P1d*Q1d<<"];\n"; 950 code << " loadMatrix<P_in_"<<i<<",Q1d>(data, B.in["<<i<<"], s_B_in_"<<i<<");\n"; 951 break; 952 case CEED_EVAL_GRAD: 953 ierr = CeedBasisGetData(basis, &basis_data); CeedChkBackend(ierr); 954 data->B.in[i] = basis_data->d_interp1d; 955 code << " __shared__ double s_B_in_"<<i<<"["<<P1d*Q1d<<"];\n"; 956 code << " loadMatrix<P_in_"<<i<<",Q1d>(data, B.in["<<i<<"], s_B_in_"<<i<<");\n"; 957 if (useCollograd) { 958 data->G.in[i] = basis_data->d_collograd1d; 959 code << " __shared__ double s_G_in_"<<i<<"["<<Q1d*Q1d<<"];\n"; 960 code << " loadMatrix<Q1d,Q1d>(data, G.in["<<i<<"], s_G_in_"<<i<<");\n"; 961 } else { 962 data->G.in[i] = basis_data->d_grad1d; 963 code << " __shared__ double s_G_in_"<<i<<"["<<P1d*Q1d<<"];\n"; 964 code << " loadMatrix<P_in_"<<i<<",Q1d>(data, G.in["<<i<<"], s_G_in_"<<i<<");\n"; 965 } 966 break; 967 case CEED_EVAL_WEIGHT: 968 break; // No action 969 case CEED_EVAL_DIV: 970 break; // TODO: Not implemented 971 case CEED_EVAL_CURL: 972 break; // TODO: Not implemented 973 } 974 } 975 976 code << "\n // -- Output field constants and basis data --\n"; 977 for (CeedInt i = 0; i < numoutputfields; i++) { 978 code << " // ---- Output field "<<i<<" ----\n"; 979 // Get elemsize, emode, ncomp 980 ierr = CeedOperatorFieldGetElemRestriction(opoutputfields[i], &Erestrict); 981 CeedChkBackend(ierr); 982 ierr = CeedElemRestrictionGetElementSize(Erestrict, &elemsize); 983 CeedChkBackend(ierr); 984 ierr = CeedQFunctionFieldGetEvalMode(qfoutputfields[i], &emode); 985 CeedChkBackend(ierr); 986 ierr = CeedElemRestrictionGetNumComponents(Erestrict, &ncomp); 987 CeedChkBackend(ierr); 988 989 // Set field constants 990 ierr = CeedOperatorFieldGetBasis(opoutputfields[i], &basis); CeedChkBackend(ierr); 991 if (basis != CEED_BASIS_COLLOCATED) { 992 ierr = CeedBasisGetNumNodes1D(basis, &P1d); CeedChkBackend(ierr); 993 code << " const CeedInt P_out_"<<i<<" = "<<P1d<<";\n"; 994 } else { 995 code << " const CeedInt P_out_"<<i<<" = "<<Q1d<<";\n"; 996 } 997 code << " const CeedInt ncomp_out_"<<i<<" = "<<ncomp<<";\n"; 998 999 // Load basis data 1000 code << " // EvalMode: "<<CeedEvalModes[emode]<<"\n"; 1001 switch (emode) { 1002 case CEED_EVAL_NONE: 1003 break; // No action 1004 case CEED_EVAL_INTERP: 1005 ierr = CeedBasisGetData(basis, &basis_data); CeedChkBackend(ierr); 1006 data->B.out[i] = basis_data->d_interp1d; 1007 code << " __shared__ double s_B_out_"<<i<<"["<<P1d*Q1d<<"];\n"; 1008 code << " loadMatrix<P_out_"<<i<<",Q1d>(data, B.out["<<i<<"], s_B_out_"<<i<<");\n"; 1009 break; 1010 case CEED_EVAL_GRAD: 1011 ierr = CeedBasisGetData(basis, &basis_data); CeedChkBackend(ierr); 1012 data->B.out[i] = basis_data->d_interp1d; 1013 code << " __shared__ double s_B_out_"<<i<<"["<<P1d*Q1d<<"];\n"; 1014 code << " loadMatrix<P_out_"<<i<<",Q1d>(data, B.out["<<i<<"], s_B_out_"<<i<<");\n"; 1015 if (useCollograd) { 1016 data->G.out[i] = basis_data->d_collograd1d; 1017 code << " __shared__ double s_G_out_"<<i<<"["<<Q1d*Q1d<<"];\n"; 1018 code << " loadMatrix<Q1d,Q1d>(data, G.out["<<i<<"], s_G_out_"<<i<<");\n"; 1019 } else { 1020 data->G.out[i] = basis_data->d_grad1d; 1021 code << " __shared__ double s_G_out_"<<i<<"["<<P1d*Q1d<<"];\n"; 1022 code << " loadMatrix<P_out_"<<i<<",Q1d>(data, G.out["<<i<<"], s_G_out_"<<i<<");\n"; 1023 } 1024 break; 1025 // LCOV_EXCL_START 1026 case CEED_EVAL_WEIGHT: { 1027 Ceed ceed; 1028 ierr = CeedOperatorGetCeed(op, &ceed); CeedChkBackend(ierr); 1029 return CeedError(ceed, CEED_ERROR_BACKEND, 1030 "CEED_EVAL_WEIGHT cannot be an output evaluation mode"); 1031 break; // Should not occur 1032 } 1033 case CEED_EVAL_DIV: 1034 break; // TODO: Not implemented 1035 case CEED_EVAL_CURL: 1036 break; // TODO: Not implemented 1037 // LCOV_EXCL_STOP 1038 } 1039 } 1040 code << "\n // -- Element loop --\n"; 1041 code << " __syncthreads();\n"; 1042 code << " for (CeedInt elem = blockIdx.x*blockDim.z + threadIdx.z; elem < nelem; elem += gridDim.x*blockDim.z) {\n"; 1043 // Input basis apply if needed 1044 // Generate the correct eval mode code for each input 1045 code << " // -- Input field restrictions and basis actions --\n"; 1046 for (CeedInt i = 0; i < numinputfields; i++) { 1047 code << " // ---- Input field "<<i<<" ----\n"; 1048 // Get elemsize, emode, ncomp 1049 ierr = CeedOperatorFieldGetElemRestriction(opinputfields[i], &Erestrict); 1050 CeedChkBackend(ierr); 1051 ierr = CeedElemRestrictionGetElementSize(Erestrict, &elemsize); 1052 CeedChkBackend(ierr); 1053 ierr = CeedQFunctionFieldGetEvalMode(qfinputfields[i], &emode); 1054 CeedChkBackend(ierr); 1055 ierr = CeedElemRestrictionGetNumComponents(Erestrict, &ncomp); 1056 CeedChkBackend(ierr); 1057 1058 // Restriction 1059 if (emode != CEED_EVAL_WEIGHT && 1060 !((emode == CEED_EVAL_NONE) && useCollograd)) { 1061 code << " CeedScalar r_u"<<i<<"[ncomp_in_"<<i<<"*P_in_"<<i<<"];\n"; 1062 1063 bool isStrided; 1064 ierr = CeedElemRestrictionIsStrided(Erestrict, &isStrided); CeedChkBackend(ierr); 1065 if (!isStrided) { 1066 ierr = CeedElemRestrictionGetLVectorSize(Erestrict, &lsize); 1067 CeedChkBackend(ierr); 1068 code << " const CeedInt lsize_in_"<<i<<" = "<<lsize<<";\n"; 1069 CeedInt compstride; 1070 ierr = CeedElemRestrictionGetCompStride(Erestrict, &compstride); CeedChkBackend(ierr); 1071 code << " // CompStride: "<<compstride<<"\n"; 1072 ierr = CeedElemRestrictionGetData(Erestrict, &restr_data); CeedChkBackend(ierr); 1073 data->indices.in[i] = restr_data->d_ind; 1074 code << " readDofsOffset"<<dim<<"d<ncomp_in_"<<i<<", "<<compstride<<", P_in_"<<i<<">(data, lsize_in_"<<i<<", elem, indices.in["<<i<<"], d_u"<<i<<", r_u"<<i<<");\n"; 1075 } else { 1076 bool backendstrides; 1077 ierr = CeedElemRestrictionHasBackendStrides(Erestrict, &backendstrides); 1078 CeedChkBackend(ierr); 1079 CeedInt nelem; 1080 ierr = CeedElemRestrictionGetNumElements(Erestrict, &nelem); 1081 CeedChkBackend(ierr); 1082 CeedInt strides[3] = {1, elemsize*nelem, elemsize}; 1083 if (!backendstrides) { 1084 ierr = CeedElemRestrictionGetStrides(Erestrict, &strides); 1085 CeedChkBackend(ierr); 1086 } 1087 code << " // Strides: {"<<strides[0]<<", "<<strides[1]<<", "<<strides[2]<<"}\n"; 1088 code << " readDofsStrided"<<dim<<"d<ncomp_in_"<<i<<",P_in_"<<i<<","<<strides[0]<<","<<strides[1]<<","<<strides[2]<<">(data, elem, d_u"<<i<<", r_u"<<i<<");\n"; 1089 } 1090 } 1091 1092 // Basis action 1093 code << " // EvalMode: "<<CeedEvalModes[emode]<<"\n"; 1094 switch (emode) { 1095 case CEED_EVAL_NONE: 1096 if (!useCollograd) { 1097 code << " CeedScalar* r_t"<<i<<" = r_u"<<i<<";\n"; 1098 } 1099 break; 1100 case CEED_EVAL_INTERP: 1101 code << " CeedScalar r_t"<<i<<"[ncomp_in_"<<i<<"*Q1d];\n"; 1102 code << " interp"<<dim<<"d<ncomp_in_"<<i<<",P_in_"<<i<<",Q1d>(data, r_u"<<i<<", s_B_in_"<<i<<", r_t"<<i<<");\n"; 1103 break; 1104 case CEED_EVAL_GRAD: 1105 if (useCollograd) { 1106 code << " CeedScalar r_t"<<i<<"[ncomp_in_"<<i<<"*Q1d];\n"; 1107 code << " interp"<<dim<<"d<ncomp_in_"<<i<<",P_in_"<<i<<",Q1d>(data, r_u"<<i<<", s_B_in_"<<i<<", r_t"<<i<<");\n"; 1108 } else { 1109 code << " CeedScalar r_t"<<i<<"[ncomp_in_"<<i<<"*Dim*Q1d];\n"; 1110 code << " grad"<<dim<<"d<ncomp_in_"<<i<<",P_in_"<<i<<",Q1d>(data, r_u"<<i<<", s_B_in_"<<i<<", s_G_in_"<<i<<", r_t"<<i<<");\n"; 1111 } 1112 break; 1113 case CEED_EVAL_WEIGHT: 1114 code << " CeedScalar r_t"<<i<<"[Q1d];\n"; 1115 ierr = CeedOperatorFieldGetBasis(opinputfields[i], &basis); CeedChkBackend(ierr); 1116 ierr = CeedBasisGetData(basis, &basis_data); CeedChkBackend(ierr); 1117 data->W = basis_data->d_qweight1d; 1118 code << " weight"<<dim<<"d<Q1d>(data, W, r_t"<<i<<");\n"; 1119 break; // No action 1120 case CEED_EVAL_DIV: 1121 break; // TODO: Not implemented 1122 case CEED_EVAL_CURL: 1123 break; // TODO: Not implemented 1124 } 1125 } 1126 1127 // Q function 1128 code << "\n // -- Output field setup --\n"; 1129 for (CeedInt i = 0; i < numoutputfields; i++) { 1130 code << "\n // ---- Output field "<<i<<" ----\n"; 1131 ierr = CeedQFunctionFieldGetEvalMode(qfoutputfields[i], &emode); 1132 CeedChkBackend(ierr); 1133 if (emode==CEED_EVAL_GRAD) 1134 { 1135 if (useCollograd) { 1136 //Accumulator for gradient slices 1137 code << " CeedScalar r_tt"<<i<<"[ncomp_out_"<<i<<"*Q1d];\n"; 1138 code << " for (CeedInt i = 0; i < ncomp_out_"<<i<<"; ++i) {\n"; 1139 code << " for (CeedInt j = 0; j < Q1d; ++j) {\n"; 1140 code << " r_tt"<<i<<"[j + i*Q1d] = 0.0;\n"; 1141 code << " }\n"; 1142 code << " }\n"; 1143 } else { 1144 code << " CeedScalar r_tt"<<i<<"[ncomp_out_"<<i<<"*Dim*Q1d];\n"; 1145 } 1146 } 1147 if (emode==CEED_EVAL_NONE || emode==CEED_EVAL_INTERP) 1148 { 1149 code << " CeedScalar r_tt"<<i<<"[ncomp_out_"<<i<<"*Q1d];\n"; 1150 } 1151 } 1152 // We treat quadrature points per slice in 3d to save registers 1153 if (useCollograd) { 1154 code << "\n // Note: Collocated Gradient\n"; 1155 code << "#pragma unroll\n"; 1156 code << " for (CeedInt q=0; q<Q1d; q++) {\n"; 1157 code << " // -- Input fields --\n"; 1158 for (CeedInt i = 0; i < numinputfields; i++) { 1159 code << " // ---- Input field "<<i<<" ----\n"; 1160 // Get elemsize, emode, ncomp 1161 ierr = CeedQFunctionFieldGetEvalMode(qfinputfields[i], &emode); 1162 CeedChkBackend(ierr); 1163 // Basis action 1164 code << " // EvalMode: "<<CeedEvalModes[emode]<<"\n"; 1165 switch (emode) { 1166 case CEED_EVAL_NONE: 1167 code << " CeedScalar r_q"<<i<<"[ncomp_in_"<<i<<"];\n"; 1168 1169 bool isStrided; 1170 ierr = CeedOperatorFieldGetElemRestriction(opinputfields[i], &Erestrict); CeedChkBackend(ierr); 1171 ierr = CeedElemRestrictionGetElementSize(Erestrict, &elemsize); CeedChkBackend(ierr); 1172 ierr = CeedElemRestrictionIsStrided(Erestrict, &isStrided); CeedChkBackend(ierr); 1173 if (!isStrided) { 1174 ierr = CeedElemRestrictionGetLVectorSize(Erestrict, &lsize); 1175 CeedChkBackend(ierr); 1176 code << " const CeedInt lsize_in_"<<i<<" = "<<lsize<<";\n"; 1177 CeedInt compstride; 1178 ierr = CeedElemRestrictionGetCompStride(Erestrict, &compstride); CeedChkBackend(ierr); 1179 code << " // CompStride: "<<compstride<<"\n"; 1180 ierr = CeedElemRestrictionGetData(Erestrict, &restr_data); CeedChkBackend(ierr); 1181 data->indices.in[i] = restr_data->d_ind; 1182 code << " readSliceQuadsOffset"<<"3d<ncomp_in_"<<i<<", "<<compstride<<", Q1d>(data, lsize_in_"<<i<<", elem, q, indices.in["<<i<<"], d_u"<<i<<", r_q"<<i<<");\n"; 1183 } else { 1184 bool backendstrides; 1185 ierr = CeedElemRestrictionHasBackendStrides(Erestrict, &backendstrides); 1186 CeedChkBackend(ierr); 1187 CeedInt nelem; 1188 ierr = CeedElemRestrictionGetNumElements(Erestrict, &nelem); 1189 CeedChkBackend(ierr); 1190 CeedInt strides[3] = {1, elemsize*nelem, elemsize}; 1191 if (!backendstrides) { 1192 ierr = CeedElemRestrictionGetStrides(Erestrict, &strides); 1193 CeedChkBackend(ierr); 1194 } 1195 code << " // Strides: {"<<strides[0]<<", "<<strides[1]<<", "<<strides[2]<<"}\n"; 1196 code << " readSliceQuadsStrided"<<"3d<ncomp_in_"<<i<<",Q1d"","<<strides[0]<<","<<strides[1]<<","<<strides[2]<<">(data, elem, q, d_u"<<i<<", r_q"<<i<<");\n"; 1197 } 1198 break; 1199 case CEED_EVAL_INTERP: 1200 code << " CeedScalar r_q"<<i<<"[ncomp_in_"<<i<<"];\n"; 1201 code << " for (CeedInt j = 0; j < ncomp_in_"<<i<<" ; ++j) {\n"; 1202 code << " r_q"<<i<<"[j] = r_t"<<i<<"[q + j*Q1d];\n"; 1203 code << " }\n"; 1204 break; 1205 case CEED_EVAL_GRAD: 1206 code << " CeedScalar r_q"<<i<<"[ncomp_in_"<<i<<"*Dim];\n"; 1207 code << " gradCollo3d<ncomp_in_"<<i<<",Q1d>(data, q, r_t"<<i<<", s_G_in_"<<i<<", r_q"<<i<<");\n"; 1208 break; 1209 case CEED_EVAL_WEIGHT: 1210 code << " CeedScalar r_q"<<i<<"[1];\n"; 1211 code << " r_q"<<i<<"[0] = r_t"<<i<<"[q];\n"; 1212 break; // No action 1213 case CEED_EVAL_DIV: 1214 break; // TODO: Not implemented 1215 case CEED_EVAL_CURL: 1216 break; // TODO: Not implemented 1217 } 1218 } 1219 code << "\n // -- Output fields --\n"; 1220 for (CeedInt i = 0; i < numoutputfields; i++) { 1221 code << " // ---- Output field "<<i<<" ----\n"; 1222 ierr = CeedQFunctionFieldGetEvalMode(qfoutputfields[i], &emode); 1223 CeedChkBackend(ierr); 1224 // Basis action 1225 switch (emode) { 1226 case CEED_EVAL_NONE: 1227 code << " CeedScalar r_qq"<<i<<"[ncomp_out_"<<i<<"];\n"; 1228 break; // No action 1229 case CEED_EVAL_INTERP: 1230 code << " CeedScalar r_qq"<<i<<"[ncomp_out_"<<i<<"];\n"; 1231 break; 1232 case CEED_EVAL_GRAD: 1233 code << " CeedScalar r_qq"<<i<<"[ncomp_out_"<<i<<"*Dim];\n"; 1234 break; 1235 case CEED_EVAL_WEIGHT: 1236 break; // Should not occur 1237 case CEED_EVAL_DIV: 1238 break; // TODO: Not implemented 1239 case CEED_EVAL_CURL: 1240 break; // TODO: Not implemented 1241 } 1242 } 1243 } else { 1244 code << "\n // Note: No Collocated Gradient\n"; 1245 code << " // -- Input fields --\n"; 1246 for (CeedInt i = 0; i < numinputfields; i++) { 1247 code << " // ---- Input field "<<i<<" ----\n"; 1248 code << " CeedScalar* r_q"<<i<<" = r_t"<<i<<";\n"; 1249 } 1250 code << " // -- Output fields --\n"; 1251 for (CeedInt i = 0; i < numoutputfields; i++) { 1252 code << " // ---- Output field "<<i<<" ----\n"; 1253 code << " CeedScalar* r_qq"<<i<<" = r_tt"<<i<<";\n"; 1254 } 1255 } 1256 code << "\n // -- QFunction Inputs and outputs --\n"; 1257 code << " CeedScalar* in["<<numinputfields<<"];\n"; 1258 for (CeedInt i = 0; i < numinputfields; i++) { 1259 code << " // ---- Input field "<<i<<" ----\n"; 1260 code << " in["<<i<<"] = r_q"<<i<<";\n"; 1261 } 1262 code << " CeedScalar* out["<<numoutputfields<<"];\n"; 1263 for (CeedInt i = 0; i < numoutputfields; i++) { 1264 code << " // ---- Output field "<<i<<" ----\n"; 1265 code << " out["<<i<<"] = r_qq"<<i<<";\n"; 1266 } 1267 code << "\n // -- Apply QFunction --\n"; 1268 code << " "<<qFunctionName<<"(ctx, "; 1269 if (dim != 3 || useCollograd) { 1270 code << "1"; 1271 } else { 1272 code << "Q1d"; 1273 } 1274 code << ", in, out);\n"; 1275 if (useCollograd) { 1276 code << "\n // Note: Collocated Gradient\n"; 1277 code << " // -- Output fields --\n"; 1278 for (CeedInt i = 0; i < numoutputfields; i++) { 1279 code << " // ---- Output field "<<i<<" ----\n"; 1280 ierr = CeedQFunctionFieldGetEvalMode(qfoutputfields[i], &emode); 1281 CeedChkBackend(ierr); 1282 // Basis action 1283 code << " // EvalMode: "<<CeedEvalModes[emode]<<"\n"; 1284 switch (emode) { 1285 case CEED_EVAL_NONE: 1286 code << " for (CeedInt j = 0; j < ncomp_out_"<<i<<" ; ++j) {\n"; 1287 code << " r_tt"<<i<<"[q + j*Q1d] = r_qq"<<i<<"[j];\n"; 1288 code << " }\n"; 1289 break; // No action 1290 case CEED_EVAL_INTERP: 1291 code << " for (CeedInt j = 0; j < ncomp_out_"<<i<<" ; ++j) {\n"; 1292 code << " r_tt"<<i<<"[q + j*Q1d] = r_qq"<<i<<"[j];\n"; 1293 code << " }\n"; 1294 break; 1295 case CEED_EVAL_GRAD: 1296 code << " gradColloTranspose3d<ncomp_out_"<<i<<",Q1d>(data, q, r_qq"<<i<<", s_G_out_"<<i<<", r_tt"<<i<<");\n"; 1297 break; 1298 case CEED_EVAL_WEIGHT: 1299 break; // Should not occur 1300 case CEED_EVAL_DIV: 1301 break; // TODO: Not implemented 1302 case CEED_EVAL_CURL: 1303 break; // TODO: Not implemented 1304 } 1305 } 1306 code << " }\n"; 1307 } 1308 1309 // Output basis apply if needed 1310 // Generate the correct eval mode code for each output 1311 code << "\n // -- Output field basis action and restrictions --\n"; 1312 for (CeedInt i = 0; i < numoutputfields; i++) { 1313 code << " // ---- Output field "<<i<<" ----\n"; 1314 // Get elemsize, emode, ncomp 1315 ierr = CeedOperatorFieldGetElemRestriction(opoutputfields[i], &Erestrict); 1316 CeedChkBackend(ierr); 1317 ierr = CeedElemRestrictionGetElementSize(Erestrict, &elemsize); 1318 CeedChkBackend(ierr); 1319 ierr = CeedQFunctionFieldGetEvalMode(qfoutputfields[i], &emode); 1320 CeedChkBackend(ierr); 1321 ierr = CeedElemRestrictionGetNumComponents(Erestrict, &ncomp); 1322 CeedChkBackend(ierr); 1323 // Basis action 1324 code << " // EvalMode: "<<CeedEvalModes[emode]<<"\n"; 1325 switch (emode) { 1326 case CEED_EVAL_NONE: 1327 code << " CeedScalar* r_v"<<i<<" = r_tt"<<i<<";\n"; 1328 break; // No action 1329 case CEED_EVAL_INTERP: 1330 code << " CeedScalar r_v"<<i<<"[ncomp_out_"<<i<<"*P_out_"<<i<<"];\n"; 1331 code << " interpTranspose"<<dim<<"d<ncomp_out_"<<i<<",P_out_"<<i<<",Q1d>(data, r_tt"<<i<<", s_B_out_"<<i<<", r_v"<<i<<");\n"; 1332 break; 1333 case CEED_EVAL_GRAD: 1334 code << " CeedScalar r_v"<<i<<"[ncomp_out_"<<i<<"*P_out_"<<i<<"];\n"; 1335 if (useCollograd) { 1336 code << " interpTranspose"<<dim<<"d<ncomp_out_"<<i<<",P_out_"<<i<<",Q1d>(data, r_tt"<<i<<", s_B_out_"<<i<<", r_v"<<i<<");\n"; 1337 } else { 1338 code << " gradTranspose"<<dim<<"d<ncomp_out_"<<i<<",P_out_"<<i<<",Q1d>(data, r_tt"<<i<<", s_B_out_"<<i<<", s_G_out_"<<i<<", r_v"<<i<<");\n"; 1339 } 1340 break; 1341 // LCOV_EXCL_START 1342 case CEED_EVAL_WEIGHT: { 1343 Ceed ceed; 1344 ierr = CeedOperatorGetCeed(op, &ceed); CeedChkBackend(ierr); 1345 return CeedError(ceed, CEED_ERROR_BACKEND, 1346 "CEED_EVAL_WEIGHT cannot be an output evaluation mode"); 1347 break; // Should not occur 1348 } 1349 case CEED_EVAL_DIV: 1350 break; // TODO: Not implemented 1351 case CEED_EVAL_CURL: 1352 break; // TODO: Not implemented 1353 // LCOV_EXCL_STOP 1354 } 1355 // Restriction 1356 bool isStrided; 1357 ierr = CeedElemRestrictionIsStrided(Erestrict, &isStrided); CeedChkBackend(ierr); 1358 if (!isStrided) { 1359 ierr = CeedElemRestrictionGetLVectorSize(Erestrict, &lsize); 1360 CeedChkBackend(ierr); 1361 code << " const CeedInt lsize_out_"<<i<<" = "<<lsize<<";\n"; 1362 CeedInt compstride; 1363 ierr = CeedElemRestrictionGetCompStride(Erestrict, &compstride); CeedChkBackend(ierr); 1364 code << " // CompStride: "<<compstride<<"\n"; 1365 ierr = CeedElemRestrictionGetData(Erestrict, &restr_data); CeedChkBackend(ierr); 1366 data->indices.out[i] = restr_data->d_ind; 1367 code << " writeDofsOffset"<<dim<<"d<ncomp_out_"<<i<<", "<<compstride<<", P_out_"<<i<<">(data, lsize_out_"<<i<<", elem, indices.out["<<i<<"], r_v"<<i<<", d_v"<<i<<");\n"; 1368 } else { 1369 bool backendstrides; 1370 ierr = CeedElemRestrictionHasBackendStrides(Erestrict, &backendstrides); 1371 CeedChkBackend(ierr); 1372 CeedInt nelem; 1373 ierr = CeedElemRestrictionGetNumElements(Erestrict, &nelem); 1374 CeedChkBackend(ierr); 1375 CeedInt strides[3] = {1, elemsize*nelem, elemsize}; 1376 if (!backendstrides) { 1377 ierr = CeedElemRestrictionGetStrides(Erestrict, &strides); 1378 CeedChkBackend(ierr); 1379 } 1380 code << " // Strides: {"<<strides[0]<<", "<<strides[1]<<", "<<strides[2]<<"}\n"; 1381 code << " writeDofsStrided"<<dim<<"d<ncomp_out_"<<i<<",P_out_"<<i<<","<<strides[0]<<","<<strides[1]<<","<<strides[2]<<">(data, elem, r_v"<<i<<", d_v"<<i<<");\n"; 1382 } 1383 } 1384 1385 code << " }\n"; 1386 code << "}\n"; 1387 code << "// -----------------------------------------------------------------------------\n\n"; 1388 1389 // View kernel for debugging 1390 CeedDebug(code.str().c_str()); 1391 1392 ierr = CeedCompileCuda(ceed, code.str().c_str(), &data->module, 1, 1393 "T1d", CeedIntMax(Q1d, data->maxP1d)); 1394 CeedChkBackend(ierr); 1395 ierr = CeedGetKernelCuda(ceed, data->module, oper.c_str(), &data->op); 1396 CeedChkBackend(ierr); 1397 1398 ierr = CeedOperatorSetSetupDone(op); CeedChkBackend(ierr); 1399 return CEED_ERROR_SUCCESS; 1400 } 1401 //------------------------------------------------------------------------------ 1402