1 // Copyright (c) 2017-2024, Lawrence Livermore National Security, LLC and other CEED contributors. 2 // All Rights Reserved. See the top-level LICENSE and NOTICE files for details. 3 // 4 // SPDX-License-Identifier: BSD-2-Clause 5 // 6 // This file is part of CEED: http://github.com/ceed 7 8 #include <ceed.h> 9 #include <ceed/backend.h> 10 #include <ceed/jit-tools.h> 11 #include <stdbool.h> 12 #include <stddef.h> 13 #include <string.h> 14 #include <hip/hip_runtime.h> 15 16 #include "../hip/ceed-hip-common.h" 17 #include "../hip/ceed-hip-compile.h" 18 #include "ceed-hip-shared.h" 19 20 //------------------------------------------------------------------------------ 21 // Compute a block size based on required minimum threads 22 //------------------------------------------------------------------------------ 23 static CeedInt ComputeBlockSizeFromRequirement(const CeedInt required) { 24 CeedInt maxSize = 1024; // Max total threads per block 25 CeedInt currentSize = 64; // Start with one group 26 27 while (currentSize < maxSize) { 28 if (currentSize > required) break; 29 else currentSize = currentSize * 2; 30 } 31 return currentSize; 32 } 33 34 //------------------------------------------------------------------------------ 35 // Compute required thread block sizes for basis kernels given P, Q, dim, and 36 // num_comp (num_comp not currently used, but may be again in other basis 37 // parallelization options) 38 //------------------------------------------------------------------------------ 39 static int ComputeBasisThreadBlockSizes(const CeedInt dim, const CeedInt P_1d, const CeedInt Q_1d, const CeedInt num_comp, CeedInt *block_sizes) { 40 // Note that this will use the same block sizes for all dimensions when compiling, 41 // but as each basis object is defined for a particular dimension, we will never 42 // call any kernels except the ones for the dimension for which we have computed the 43 // block sizes. 44 const CeedInt thread_1d = CeedIntMax(P_1d, Q_1d); 45 46 switch (dim) { 47 case 1: { 48 // Interp kernels: 49 block_sizes[0] = 256; 50 51 // Grad kernels: 52 block_sizes[1] = 256; 53 54 // Weight kernels: 55 block_sizes[2] = 256; 56 } break; 57 case 2: { 58 // Interp kernels: 59 CeedInt required = thread_1d * thread_1d; 60 61 block_sizes[0] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 62 63 // Grad kernels: currently use same required minimum threads 64 block_sizes[1] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 65 66 // Weight kernels: 67 required = CeedIntMax(64, Q_1d * Q_1d); 68 block_sizes[2] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 69 70 } break; 71 case 3: { 72 // Interp kernels: 73 CeedInt required = thread_1d * thread_1d; 74 75 block_sizes[0] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 76 77 // Grad kernels: currently use same required minimum threads 78 block_sizes[1] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 79 80 // Weight kernels: 81 required = Q_1d * Q_1d * Q_1d; 82 block_sizes[2] = CeedIntMax(256, ComputeBlockSizeFromRequirement(required)); 83 } 84 } 85 return CEED_ERROR_SUCCESS; 86 } 87 88 //------------------------------------------------------------------------------ 89 // Apply basis 90 //------------------------------------------------------------------------------ 91 static int CeedBasisApplyTensorCore_Hip_shared(CeedBasis basis, bool apply_add, const CeedInt num_elem, CeedTransposeMode t_mode, 92 CeedEvalMode eval_mode, CeedVector u, CeedVector v) { 93 Ceed ceed; 94 Ceed_Hip *ceed_Hip; 95 CeedInt dim, num_comp; 96 const CeedScalar *d_u; 97 CeedScalar *d_v; 98 CeedBasis_Hip_shared *data; 99 100 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 101 CeedCallBackend(CeedGetData(ceed, &ceed_Hip)); 102 CeedCallBackend(CeedBasisGetData(basis, &data)); 103 CeedCallBackend(CeedBasisGetDimension(basis, &dim)); 104 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 105 106 // Get read/write access to u, v 107 if (u != CEED_VECTOR_NONE) CeedCallBackend(CeedVectorGetArrayRead(u, CEED_MEM_DEVICE, &d_u)); 108 else CeedCheck(eval_mode == CEED_EVAL_WEIGHT, ceed, CEED_ERROR_BACKEND, "An input vector is required for this CeedEvalMode"); 109 if (apply_add) { 110 CeedCallBackend(CeedVectorGetArray(v, CEED_MEM_DEVICE, &d_v)); 111 } else { 112 CeedCallBackend(CeedVectorGetArrayWrite(v, CEED_MEM_DEVICE, &d_v)); 113 } 114 115 // Apply basis operation 116 switch (eval_mode) { 117 case CEED_EVAL_INTERP: { 118 CeedInt P_1d, Q_1d; 119 CeedInt block_size = data->block_sizes[0]; 120 121 CeedCheck(data->d_interp_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; interp_1d not set", CeedEvalModes[eval_mode]); 122 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 123 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 124 CeedInt thread_1d = CeedIntMax(Q_1d, P_1d); 125 void *interp_args[] = {(void *)&num_elem, &data->d_interp_1d, &d_u, &d_v}; 126 127 if (dim == 1) { 128 CeedInt elems_per_block = 64 * thread_1d > 256 ? 256 / thread_1d : 64; 129 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 130 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 131 CeedInt shared_mem = elems_per_block * thread_1d * sizeof(CeedScalar); 132 133 if (t_mode == CEED_TRANSPOSE) { 134 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAdd : data->InterpTranspose, grid, thread_1d, 1, 135 elems_per_block, shared_mem, interp_args)); 136 } else { 137 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Interp, grid, thread_1d, 1, elems_per_block, shared_mem, interp_args)); 138 } 139 } else if (dim == 2) { 140 // Check if required threads is small enough to do multiple elems 141 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 142 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 143 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 144 145 if (t_mode == CEED_TRANSPOSE) { 146 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAdd : data->InterpTranspose, grid, thread_1d, thread_1d, 147 elems_per_block, shared_mem, interp_args)); 148 } else { 149 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Interp, grid, thread_1d, thread_1d, elems_per_block, shared_mem, interp_args)); 150 } 151 } else if (dim == 3) { 152 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 153 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 154 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 155 156 if (t_mode == CEED_TRANSPOSE) { 157 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAdd : data->InterpTranspose, grid, thread_1d, thread_1d, 158 elems_per_block, shared_mem, interp_args)); 159 } else { 160 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Interp, grid, thread_1d, thread_1d, elems_per_block, shared_mem, interp_args)); 161 } 162 } 163 } break; 164 case CEED_EVAL_GRAD: { 165 CeedInt P_1d, Q_1d; 166 CeedInt block_size = data->block_sizes[1]; 167 168 CeedCheck(data->d_grad_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; grad_1d not set", CeedEvalModes[eval_mode]); 169 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 170 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 171 CeedInt thread_1d = CeedIntMax(Q_1d, P_1d); 172 CeedScalar *d_grad_1d = data->d_grad_1d; 173 174 if (data->d_collo_grad_1d) { 175 d_grad_1d = data->d_collo_grad_1d; 176 } 177 void *grad_args[] = {(void *)&num_elem, &data->d_interp_1d, &d_grad_1d, &d_u, &d_v}; 178 179 if (dim == 1) { 180 CeedInt elems_per_block = 64 * thread_1d > 256 ? 256 / thread_1d : 64; 181 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 182 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 183 CeedInt shared_mem = elems_per_block * thread_1d * sizeof(CeedScalar); 184 185 if (t_mode == CEED_TRANSPOSE) { 186 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAdd : data->GradTranspose, grid, thread_1d, 1, 187 elems_per_block, shared_mem, grad_args)); 188 } else { 189 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Grad, grid, thread_1d, 1, elems_per_block, shared_mem, grad_args)); 190 } 191 } else if (dim == 2) { 192 // Check if required threads is small enough to do multiple elems 193 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 194 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 195 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 196 197 if (t_mode == CEED_TRANSPOSE) { 198 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAdd : data->GradTranspose, grid, thread_1d, thread_1d, 199 elems_per_block, shared_mem, grad_args)); 200 } else { 201 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Grad, grid, thread_1d, thread_1d, elems_per_block, shared_mem, grad_args)); 202 } 203 } else if (dim == 3) { 204 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 205 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 206 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 207 208 if (t_mode == CEED_TRANSPOSE) { 209 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAdd : data->GradTranspose, grid, thread_1d, thread_1d, 210 elems_per_block, shared_mem, grad_args)); 211 } else { 212 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Grad, grid, thread_1d, thread_1d, elems_per_block, shared_mem, grad_args)); 213 } 214 } 215 } break; 216 case CEED_EVAL_WEIGHT: { 217 CeedInt Q_1d; 218 CeedInt block_size = data->block_sizes[2]; 219 220 CeedCheck(data->d_q_weight_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; q_weights_1d not set", CeedEvalModes[eval_mode]); 221 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 222 void *weight_args[] = {(void *)&num_elem, (void *)&data->d_q_weight_1d, &d_v}; 223 224 if (dim == 1) { 225 const CeedInt opt_elems = block_size / Q_1d; 226 const CeedInt elems_per_block = opt_elems > 0 ? opt_elems : 1; 227 const CeedInt grid_size = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 228 229 CeedCallBackend(CeedRunKernelDim_Hip(ceed, data->Weight, grid_size, Q_1d, elems_per_block, 1, weight_args)); 230 } else if (dim == 2) { 231 const CeedInt opt_elems = block_size / (Q_1d * Q_1d); 232 const CeedInt elems_per_block = opt_elems > 0 ? opt_elems : 1; 233 const CeedInt grid_size = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 234 235 CeedCallBackend(CeedRunKernelDim_Hip(ceed, data->Weight, grid_size, Q_1d, Q_1d, elems_per_block, weight_args)); 236 } else if (dim == 3) { 237 const CeedInt opt_elems = block_size / (Q_1d * Q_1d); 238 const CeedInt elems_per_block = opt_elems > 0 ? opt_elems : 1; 239 const CeedInt grid_size = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 240 241 CeedCallBackend(CeedRunKernelDim_Hip(ceed, data->Weight, grid_size, Q_1d, Q_1d, elems_per_block, weight_args)); 242 } 243 } break; 244 case CEED_EVAL_NONE: /* handled separately below */ 245 break; 246 // LCOV_EXCL_START 247 case CEED_EVAL_DIV: 248 case CEED_EVAL_CURL: 249 return CeedError(ceed, CEED_ERROR_BACKEND, "%s not supported", CeedEvalModes[eval_mode]); 250 // LCOV_EXCL_STOP 251 } 252 253 // Restore vectors, cover CEED_EVAL_NONE 254 CeedCallBackend(CeedVectorRestoreArray(v, &d_v)); 255 if (eval_mode == CEED_EVAL_NONE) CeedCallBackend(CeedVectorSetArray(v, CEED_MEM_DEVICE, CEED_COPY_VALUES, (CeedScalar *)d_u)); 256 if (eval_mode != CEED_EVAL_WEIGHT) CeedCallBackend(CeedVectorRestoreArrayRead(u, &d_u)); 257 CeedCallBackend(CeedDestroy(&ceed)); 258 return CEED_ERROR_SUCCESS; 259 } 260 261 int CeedBasisApplyTensor_Hip_shared(CeedBasis basis, const CeedInt num_elem, CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector u, 262 CeedVector v) { 263 CeedCallBackend(CeedBasisApplyTensorCore_Hip_shared(basis, false, num_elem, t_mode, eval_mode, u, v)); 264 return CEED_ERROR_SUCCESS; 265 } 266 267 int CeedBasisApplyAddTensor_Hip_shared(CeedBasis basis, const CeedInt num_elem, CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector u, 268 CeedVector v) { 269 CeedCallBackend(CeedBasisApplyTensorCore_Hip_shared(basis, true, num_elem, t_mode, eval_mode, u, v)); 270 return CEED_ERROR_SUCCESS; 271 } 272 273 //------------------------------------------------------------------------------ 274 // Basis apply - tensor AtPoints 275 //------------------------------------------------------------------------------ 276 static int CeedBasisApplyAtPointsCore_Hip_shared(CeedBasis basis, bool apply_add, const CeedInt num_elem, const CeedInt *num_points, 277 CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector x_ref, CeedVector u, CeedVector v) { 278 Ceed ceed; 279 CeedInt Q_1d, dim, max_num_points = num_points[0]; 280 const CeedInt is_transpose = t_mode == CEED_TRANSPOSE; 281 const CeedScalar *d_x, *d_u; 282 CeedScalar *d_v; 283 CeedBasis_Hip_shared *data; 284 285 CeedCallBackend(CeedBasisGetData(basis, &data)); 286 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 287 CeedCallBackend(CeedBasisGetDimension(basis, &dim)); 288 289 // Weight handled separately 290 if (eval_mode == CEED_EVAL_WEIGHT) { 291 CeedCallBackend(CeedVectorSetValue(v, 1.0)); 292 return CEED_ERROR_SUCCESS; 293 } 294 295 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 296 297 // Check padded to uniform number of points per elem 298 for (CeedInt i = 1; i < num_elem; i++) max_num_points = CeedIntMax(max_num_points, num_points[i]); 299 { 300 CeedInt num_comp, q_comp; 301 CeedSize len, len_required; 302 303 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 304 CeedCallBackend(CeedBasisGetNumQuadratureComponents(basis, eval_mode, &q_comp)); 305 CeedCallBackend(CeedVectorGetLength(is_transpose ? u : v, &len)); 306 len_required = (CeedSize)num_comp * (CeedSize)q_comp * (CeedSize)num_elem * (CeedSize)max_num_points; 307 CeedCheck(len >= len_required, ceed, CEED_ERROR_BACKEND, 308 "Vector at points must be padded to the same number of points in each element for BasisApplyAtPoints on GPU backends." 309 " Found %" CeedSize_FMT ", Required %" CeedSize_FMT, 310 len, len_required); 311 } 312 313 // Move num_points array to device 314 if (is_transpose) { 315 const CeedInt num_bytes = num_elem * sizeof(CeedInt); 316 317 if (num_elem != data->num_elem_at_points) { 318 data->num_elem_at_points = num_elem; 319 320 if (data->d_points_per_elem) CeedCallHip(ceed, hipFree(data->d_points_per_elem)); 321 CeedCallHip(ceed, hipMalloc((void **)&data->d_points_per_elem, num_bytes)); 322 CeedCallBackend(CeedFree(&data->h_points_per_elem)); 323 CeedCallBackend(CeedCalloc(num_elem, &data->h_points_per_elem)); 324 } 325 if (memcmp(data->h_points_per_elem, num_points, num_bytes)) { 326 memcpy(data->h_points_per_elem, num_points, num_bytes); 327 CeedCallHip(ceed, hipMemcpy(data->d_points_per_elem, num_points, num_bytes, hipMemcpyHostToDevice)); 328 } 329 } 330 331 // Build kernels if needed 332 if (data->num_points != max_num_points) { 333 CeedInt P_1d; 334 335 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 336 data->num_points = max_num_points; 337 338 // -- Create interp matrix to Chebyshev coefficients 339 if (!data->d_chebyshev_interp_1d) { 340 CeedSize interp_bytes; 341 CeedScalar *chebyshev_interp_1d; 342 343 interp_bytes = P_1d * Q_1d * sizeof(CeedScalar); 344 CeedCallBackend(CeedCalloc(P_1d * Q_1d, &chebyshev_interp_1d)); 345 CeedCallBackend(CeedBasisGetChebyshevInterp1D(basis, chebyshev_interp_1d)); 346 CeedCallHip(ceed, hipMalloc((void **)&data->d_chebyshev_interp_1d, interp_bytes)); 347 CeedCallHip(ceed, hipMemcpy(data->d_chebyshev_interp_1d, chebyshev_interp_1d, interp_bytes, hipMemcpyHostToDevice)); 348 CeedCallBackend(CeedFree(&chebyshev_interp_1d)); 349 } 350 351 // -- Compile kernels 352 const char basis_kernel_source[] = "// AtPoints basis source\n#include <ceed/jit-source/hip/hip-shared-basis-tensor-at-points.h>\n"; 353 CeedInt num_comp; 354 355 if (data->moduleAtPoints) CeedCallHip(ceed, hipModuleUnload(data->moduleAtPoints)); 356 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 357 CeedCallBackend(CeedCompile_Hip(ceed, basis_kernel_source, &data->moduleAtPoints, 9, "BASIS_Q_1D", Q_1d, "BASIS_P_1D", P_1d, "T_1D", 358 CeedIntMax(Q_1d, P_1d), "BASIS_DIM", dim, "BASIS_NUM_COMP", num_comp, "BASIS_NUM_NODES", CeedIntPow(P_1d, dim), 359 "BASIS_NUM_QPTS", CeedIntPow(Q_1d, dim), "BASIS_NUM_PTS", max_num_points, "BASIS_INTERP_BLOCK_SIZE", 360 data->block_sizes[0])); 361 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "InterpAtPoints", &data->InterpAtPoints)); 362 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "InterpTransposeAtPoints", &data->InterpTransposeAtPoints)); 363 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "GradAtPoints", &data->GradAtPoints)); 364 CeedCallBackend(CeedGetKernel_Hip(ceed, data->moduleAtPoints, "GradTransposeAtPoints", &data->GradTransposeAtPoints)); 365 } 366 367 // Get read/write access to u, v 368 CeedCallBackend(CeedVectorGetArrayRead(x_ref, CEED_MEM_DEVICE, &d_x)); 369 if (u != CEED_VECTOR_NONE) CeedCallBackend(CeedVectorGetArrayRead(u, CEED_MEM_DEVICE, &d_u)); 370 else CeedCheck(eval_mode == CEED_EVAL_WEIGHT, ceed, CEED_ERROR_BACKEND, "An input vector is required for this CeedEvalMode"); 371 if (apply_add) { 372 CeedCallBackend(CeedVectorGetArray(v, CEED_MEM_DEVICE, &d_v)); 373 } else { 374 // Clear v for transpose operation 375 if (is_transpose) CeedCallBackend(CeedVectorSetValue(v, 0.0)); 376 CeedCallBackend(CeedVectorGetArrayWrite(v, CEED_MEM_DEVICE, &d_v)); 377 } 378 379 // Basis action 380 switch (eval_mode) { 381 case CEED_EVAL_INTERP: { 382 CeedInt P_1d, Q_1d; 383 CeedInt block_size = data->block_sizes[0]; 384 385 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 386 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 387 CeedInt thread_1d = CeedIntMax(Q_1d, P_1d); 388 void *interp_args[] = {(void *)&num_elem, &data->d_chebyshev_interp_1d, &data->d_points_per_elem, &d_x, &d_u, &d_v}; 389 390 if (dim == 1) { 391 CeedInt elems_per_block = 64 * thread_1d > 256 ? 256 / thread_1d : 64; 392 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 393 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 394 CeedInt shared_mem = elems_per_block * thread_1d * sizeof(CeedScalar); 395 396 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, is_transpose ? data->InterpTransposeAtPoints : data->InterpAtPoints, grid, thread_1d, 1, 397 elems_per_block, shared_mem, interp_args)); 398 } else if (dim == 2) { 399 // Check if required threads is small enough to do multiple elems 400 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 401 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 402 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 403 404 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, is_transpose ? data->InterpTransposeAtPoints : data->InterpAtPoints, grid, thread_1d, 405 thread_1d, elems_per_block, shared_mem, interp_args)); 406 } else if (dim == 3) { 407 const CeedInt elems_per_block = 1; 408 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 409 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 410 411 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, is_transpose ? data->InterpTransposeAtPoints : data->InterpAtPoints, grid, thread_1d, 412 thread_1d, elems_per_block, shared_mem, interp_args)); 413 } 414 } break; 415 case CEED_EVAL_GRAD: { 416 CeedInt P_1d, Q_1d; 417 CeedInt block_size = data->block_sizes[0]; 418 419 CeedCallBackend(CeedBasisGetNumNodes1D(basis, &P_1d)); 420 CeedCallBackend(CeedBasisGetNumQuadraturePoints1D(basis, &Q_1d)); 421 CeedInt thread_1d = CeedIntMax(Q_1d, P_1d); 422 void *grad_args[] = {(void *)&num_elem, &data->d_chebyshev_interp_1d, &data->d_points_per_elem, &d_x, &d_u, &d_v}; 423 424 if (dim == 1) { 425 CeedInt elems_per_block = 64 * thread_1d > 256 ? 256 / thread_1d : 64; 426 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 427 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 428 CeedInt shared_mem = elems_per_block * thread_1d * sizeof(CeedScalar); 429 430 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, is_transpose ? data->GradTransposeAtPoints : data->GradAtPoints, grid, thread_1d, 1, 431 elems_per_block, shared_mem, grad_args)); 432 } else if (dim == 2) { 433 // Check if required threads is small enough to do multiple elems 434 const CeedInt elems_per_block = CeedIntMax(block_size / (thread_1d * thread_1d), 1); 435 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 436 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 437 438 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, is_transpose ? data->GradTransposeAtPoints : data->GradAtPoints, grid, thread_1d, thread_1d, 439 elems_per_block, shared_mem, grad_args)); 440 } else if (dim == 3) { 441 const CeedInt elems_per_block = 1; 442 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 443 CeedInt shared_mem = elems_per_block * thread_1d * thread_1d * sizeof(CeedScalar); 444 445 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, is_transpose ? data->GradTransposeAtPoints : data->GradAtPoints, grid, thread_1d, thread_1d, 446 elems_per_block, shared_mem, grad_args)); 447 } 448 } break; 449 case CEED_EVAL_WEIGHT: 450 case CEED_EVAL_NONE: /* handled separately below */ 451 break; 452 // LCOV_EXCL_START 453 case CEED_EVAL_DIV: 454 case CEED_EVAL_CURL: 455 return CeedError(ceed, CEED_ERROR_BACKEND, "%s not supported", CeedEvalModes[eval_mode]); 456 // LCOV_EXCL_STOP 457 } 458 459 // Restore vectors, cover CEED_EVAL_NONE 460 CeedCallBackend(CeedVectorRestoreArrayRead(x_ref, &d_x)); 461 CeedCallBackend(CeedVectorRestoreArray(v, &d_v)); 462 if (eval_mode == CEED_EVAL_NONE) CeedCallBackend(CeedVectorSetArray(v, CEED_MEM_DEVICE, CEED_COPY_VALUES, (CeedScalar *)d_u)); 463 if (eval_mode != CEED_EVAL_WEIGHT) CeedCallBackend(CeedVectorRestoreArrayRead(u, &d_u)); 464 return CEED_ERROR_SUCCESS; 465 } 466 467 static int CeedBasisApplyAtPoints_Hip_shared(CeedBasis basis, const CeedInt num_elem, const CeedInt *num_points, CeedTransposeMode t_mode, 468 CeedEvalMode eval_mode, CeedVector x_ref, CeedVector u, CeedVector v) { 469 CeedCallBackend(CeedBasisApplyAtPointsCore_Hip_shared(basis, false, num_elem, num_points, t_mode, eval_mode, x_ref, u, v)); 470 return CEED_ERROR_SUCCESS; 471 } 472 473 static int CeedBasisApplyAddAtPoints_Hip_shared(CeedBasis basis, const CeedInt num_elem, const CeedInt *num_points, CeedTransposeMode t_mode, 474 CeedEvalMode eval_mode, CeedVector x_ref, CeedVector u, CeedVector v) { 475 CeedCallBackend(CeedBasisApplyAtPointsCore_Hip_shared(basis, true, num_elem, num_points, t_mode, eval_mode, x_ref, u, v)); 476 return CEED_ERROR_SUCCESS; 477 } 478 479 //------------------------------------------------------------------------------ 480 // Apply basis 481 //------------------------------------------------------------------------------ 482 static int CeedBasisApplyNonTensorCore_Hip_shared(CeedBasis basis, bool apply_add, const CeedInt num_elem, CeedTransposeMode t_mode, 483 CeedEvalMode eval_mode, CeedVector u, CeedVector v) { 484 Ceed ceed; 485 Ceed_Hip *ceed_Hip; 486 CeedInt dim, num_comp; 487 const CeedScalar *d_u; 488 CeedScalar *d_v; 489 CeedBasis_Hip_shared *data; 490 491 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 492 CeedCallBackend(CeedGetData(ceed, &ceed_Hip)); 493 CeedCallBackend(CeedBasisGetData(basis, &data)); 494 CeedCallBackend(CeedBasisGetDimension(basis, &dim)); 495 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 496 497 // Get read/write access to u, v 498 if (u != CEED_VECTOR_NONE) CeedCallBackend(CeedVectorGetArrayRead(u, CEED_MEM_DEVICE, &d_u)); 499 else CeedCheck(eval_mode == CEED_EVAL_WEIGHT, ceed, CEED_ERROR_BACKEND, "An input vector is required for this CeedEvalMode"); 500 if (apply_add) { 501 CeedCallBackend(CeedVectorGetArray(v, CEED_MEM_DEVICE, &d_v)); 502 } else { 503 CeedCallBackend(CeedVectorGetArrayWrite(v, CEED_MEM_DEVICE, &d_v)); 504 } 505 506 // Apply basis operation 507 switch (eval_mode) { 508 case CEED_EVAL_INTERP: { 509 CeedInt P, Q; 510 511 CeedCheck(data->d_interp_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; interp not set", CeedEvalModes[eval_mode]); 512 CeedCallBackend(CeedBasisGetNumNodes(basis, &P)); 513 CeedCallBackend(CeedBasisGetNumQuadraturePoints(basis, &Q)); 514 CeedInt thread = CeedIntMax(Q, P); 515 void *interp_args[] = {(void *)&num_elem, &data->d_interp_1d, &d_u, &d_v}; 516 517 { 518 CeedInt elems_per_block = 64 * thread > 256 ? 256 / thread : 64; 519 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 520 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 521 CeedInt shared_mem = elems_per_block * thread * sizeof(CeedScalar); 522 523 if (t_mode == CEED_TRANSPOSE) { 524 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->InterpTransposeAdd : data->InterpTranspose, grid, thread, 1, 525 elems_per_block, shared_mem, interp_args)); 526 } else { 527 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Interp, grid, thread, 1, elems_per_block, shared_mem, interp_args)); 528 } 529 } 530 } break; 531 case CEED_EVAL_GRAD: { 532 CeedInt P, Q; 533 534 CeedCheck(data->d_grad_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; grad not set", CeedEvalModes[eval_mode]); 535 CeedCallBackend(CeedBasisGetNumNodes(basis, &P)); 536 CeedCallBackend(CeedBasisGetNumQuadraturePoints(basis, &Q)); 537 CeedInt thread = CeedIntMax(Q, P); 538 void *grad_args[] = {(void *)&num_elem, &data->d_grad_1d, &d_u, &d_v}; 539 540 { 541 CeedInt elems_per_block = 64 * thread > 256 ? 256 / thread : 64; 542 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 543 CeedInt grid = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 544 CeedInt shared_mem = elems_per_block * thread * sizeof(CeedScalar); 545 546 if (t_mode == CEED_TRANSPOSE) { 547 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, apply_add ? data->GradTransposeAdd : data->GradTranspose, grid, thread, 1, elems_per_block, 548 shared_mem, grad_args)); 549 } else { 550 CeedCallBackend(CeedRunKernelDimShared_Hip(ceed, data->Grad, grid, thread, 1, elems_per_block, shared_mem, grad_args)); 551 } 552 } 553 } break; 554 case CEED_EVAL_WEIGHT: { 555 CeedInt P, Q; 556 557 CeedCheck(data->d_q_weight_1d, ceed, CEED_ERROR_BACKEND, "%s not supported; q_weights not set", CeedEvalModes[eval_mode]); 558 CeedCallBackend(CeedBasisGetNumNodes(basis, &P)); 559 CeedCallBackend(CeedBasisGetNumQuadraturePoints(basis, &Q)); 560 CeedInt thread = CeedIntMax(Q, P); 561 void *weight_args[] = {(void *)&num_elem, (void *)&data->d_q_weight_1d, &d_v}; 562 563 { 564 CeedInt elems_per_block = 64 * thread > 256 ? 256 / thread : 64; 565 elems_per_block = elems_per_block > 0 ? elems_per_block : 1; 566 const CeedInt grid_size = num_elem / elems_per_block + (num_elem % elems_per_block > 0); 567 568 CeedCallBackend(CeedRunKernelDim_Hip(ceed, data->Weight, grid_size, thread, elems_per_block, 1, weight_args)); 569 } 570 } break; 571 case CEED_EVAL_NONE: /* handled separately below */ 572 break; 573 // LCOV_EXCL_START 574 case CEED_EVAL_DIV: 575 case CEED_EVAL_CURL: 576 return CeedError(ceed, CEED_ERROR_BACKEND, "%s not supported", CeedEvalModes[eval_mode]); 577 // LCOV_EXCL_STOP 578 } 579 580 // Restore vectors, cover CEED_EVAL_NONE 581 CeedCallBackend(CeedVectorRestoreArray(v, &d_v)); 582 if (eval_mode == CEED_EVAL_NONE) CeedCallBackend(CeedVectorSetArray(v, CEED_MEM_DEVICE, CEED_COPY_VALUES, (CeedScalar *)d_u)); 583 if (eval_mode != CEED_EVAL_WEIGHT) CeedCallBackend(CeedVectorRestoreArrayRead(u, &d_u)); 584 CeedCallBackend(CeedDestroy(&ceed)); 585 return CEED_ERROR_SUCCESS; 586 } 587 588 int CeedBasisApplyNonTensor_Hip_shared(CeedBasis basis, const CeedInt num_elem, CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector u, 589 CeedVector v) { 590 CeedCallBackend(CeedBasisApplyNonTensorCore_Hip_shared(basis, false, num_elem, t_mode, eval_mode, u, v)); 591 return CEED_ERROR_SUCCESS; 592 } 593 594 int CeedBasisApplyAddNonTensor_Hip_shared(CeedBasis basis, const CeedInt num_elem, CeedTransposeMode t_mode, CeedEvalMode eval_mode, CeedVector u, 595 CeedVector v) { 596 CeedCallBackend(CeedBasisApplyNonTensorCore_Hip_shared(basis, true, num_elem, t_mode, eval_mode, u, v)); 597 return CEED_ERROR_SUCCESS; 598 } 599 600 //------------------------------------------------------------------------------ 601 // Destroy basis 602 //------------------------------------------------------------------------------ 603 static int CeedBasisDestroy_Hip_shared(CeedBasis basis) { 604 Ceed ceed; 605 CeedBasis_Hip_shared *data; 606 607 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 608 CeedCallBackend(CeedBasisGetData(basis, &data)); 609 CeedCallHip(ceed, hipModuleUnload(data->module)); 610 if (data->moduleAtPoints) CeedCallHip(ceed, hipModuleUnload(data->moduleAtPoints)); 611 if (data->d_q_weight_1d) CeedCallHip(ceed, hipFree(data->d_q_weight_1d)); 612 CeedCallBackend(CeedFree(&data->h_points_per_elem)); 613 if (data->d_points_per_elem) CeedCallHip(ceed, hipFree(data->d_points_per_elem)); 614 CeedCallHip(ceed, hipFree(data->d_interp_1d)); 615 CeedCallHip(ceed, hipFree(data->d_grad_1d)); 616 CeedCallHip(ceed, hipFree(data->d_collo_grad_1d)); 617 CeedCallHip(ceed, hipFree(data->d_chebyshev_interp_1d)); 618 CeedCallBackend(CeedFree(&data)); 619 return CEED_ERROR_SUCCESS; 620 } 621 622 //------------------------------------------------------------------------------ 623 // Create tensor basis 624 //------------------------------------------------------------------------------ 625 int CeedBasisCreateTensorH1_Hip_shared(CeedInt dim, CeedInt P_1d, CeedInt Q_1d, const CeedScalar *interp_1d, const CeedScalar *grad_1d, 626 const CeedScalar *q_ref_1d, const CeedScalar *q_weight_1d, CeedBasis basis) { 627 Ceed ceed; 628 CeedInt num_comp; 629 const CeedInt q_bytes = Q_1d * sizeof(CeedScalar); 630 const CeedInt interp_bytes = q_bytes * P_1d; 631 CeedBasis_Hip_shared *data; 632 633 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 634 CeedCallBackend(CeedCalloc(1, &data)); 635 636 // Copy basis data to GPU 637 if (q_weight_1d) { 638 CeedCallHip(ceed, hipMalloc((void **)&data->d_q_weight_1d, q_bytes)); 639 CeedCallHip(ceed, hipMemcpy(data->d_q_weight_1d, q_weight_1d, q_bytes, hipMemcpyHostToDevice)); 640 } 641 CeedCallHip(ceed, hipMalloc((void **)&data->d_interp_1d, interp_bytes)); 642 CeedCallHip(ceed, hipMemcpy(data->d_interp_1d, interp_1d, interp_bytes, hipMemcpyHostToDevice)); 643 CeedCallHip(ceed, hipMalloc((void **)&data->d_grad_1d, interp_bytes)); 644 CeedCallHip(ceed, hipMemcpy(data->d_grad_1d, grad_1d, interp_bytes, hipMemcpyHostToDevice)); 645 646 // Compute collocated gradient and copy to GPU 647 data->d_collo_grad_1d = NULL; 648 bool has_collocated_grad = dim == 3 && Q_1d >= P_1d; 649 650 if (has_collocated_grad) { 651 CeedScalar *collo_grad_1d; 652 653 CeedCallBackend(CeedMalloc(Q_1d * Q_1d, &collo_grad_1d)); 654 CeedCallBackend(CeedBasisGetCollocatedGrad(basis, collo_grad_1d)); 655 CeedCallHip(ceed, hipMalloc((void **)&data->d_collo_grad_1d, q_bytes * Q_1d)); 656 CeedCallHip(ceed, hipMemcpy(data->d_collo_grad_1d, collo_grad_1d, q_bytes * Q_1d, hipMemcpyHostToDevice)); 657 CeedCallBackend(CeedFree(&collo_grad_1d)); 658 } 659 660 // Set number of threads per block for basis kernels 661 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 662 CeedCallBackend(ComputeBasisThreadBlockSizes(dim, P_1d, Q_1d, num_comp, data->block_sizes)); 663 664 // Compile basis kernels 665 const char basis_kernel_source[] = "// Tensor basis source\n#include <ceed/jit-source/hip/hip-shared-basis-tensor.h>\n"; 666 667 CeedCallBackend(CeedCompile_Hip(ceed, basis_kernel_source, &data->module, 11, "BASIS_Q_1D", Q_1d, "BASIS_P_1D", P_1d, "T_1D", 668 CeedIntMax(Q_1d, P_1d), "BASIS_DIM", dim, "BASIS_NUM_COMP", num_comp, "BASIS_NUM_NODES", CeedIntPow(P_1d, dim), 669 "BASIS_NUM_QPTS", CeedIntPow(Q_1d, dim), "BASIS_INTERP_BLOCK_SIZE", data->block_sizes[0], "BASIS_GRAD_BLOCK_SIZE", 670 data->block_sizes[1], "BASIS_WEIGHT_BLOCK_SIZE", data->block_sizes[2], "BASIS_HAS_COLLOCATED_GRAD", 671 has_collocated_grad)); 672 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Interp", &data->Interp)); 673 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "InterpTranspose", &data->InterpTranspose)); 674 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "InterpTransposeAdd", &data->InterpTransposeAdd)); 675 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Grad", &data->Grad)); 676 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "GradTranspose", &data->GradTranspose)); 677 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "GradTransposeAdd", &data->GradTransposeAdd)); 678 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Weight", &data->Weight)); 679 680 CeedCallBackend(CeedBasisSetData(basis, data)); 681 682 // Register backend functions 683 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "Apply", CeedBasisApplyTensor_Hip_shared)); 684 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "ApplyAdd", CeedBasisApplyAddTensor_Hip_shared)); 685 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "ApplyAtPoints", CeedBasisApplyAtPoints_Hip_shared)); 686 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "ApplyAddAtPoints", CeedBasisApplyAddAtPoints_Hip_shared)); 687 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "Destroy", CeedBasisDestroy_Hip_shared)); 688 CeedCallBackend(CeedDestroy(&ceed)); 689 return CEED_ERROR_SUCCESS; 690 } 691 692 //------------------------------------------------------------------------------ 693 // Create non-tensor basis 694 //------------------------------------------------------------------------------ 695 int CeedBasisCreateH1_Hip_shared(CeedElemTopology topo, CeedInt dim, CeedInt num_nodes, CeedInt num_qpts, const CeedScalar *interp, 696 const CeedScalar *grad, const CeedScalar *q_ref, const CeedScalar *q_weight, CeedBasis basis) { 697 Ceed ceed; 698 CeedInt num_comp, q_comp_interp, q_comp_grad; 699 const CeedInt q_bytes = num_qpts * sizeof(CeedScalar); 700 CeedBasis_Hip_shared *data; 701 702 CeedCallBackend(CeedBasisGetCeed(basis, &ceed)); 703 704 // Check shared memory size 705 { 706 Ceed_Hip *hip_data; 707 708 CeedCallBackend(CeedGetData(ceed, &hip_data)); 709 if (((size_t)num_nodes * (size_t)num_qpts * (size_t)dim + (size_t)CeedIntMax(num_nodes, num_qpts)) * sizeof(CeedScalar) > 710 hip_data->device_prop.sharedMemPerBlock) { 711 CeedCallBackend(CeedBasisCreateH1Fallback(ceed, topo, dim, num_nodes, num_qpts, interp, grad, q_ref, q_weight, basis)); 712 return CEED_ERROR_SUCCESS; 713 } 714 } 715 716 CeedCallBackend(CeedCalloc(1, &data)); 717 718 // Copy basis data to GPU 719 CeedCallBackend(CeedBasisGetNumQuadratureComponents(basis, CEED_EVAL_INTERP, &q_comp_interp)); 720 CeedCallBackend(CeedBasisGetNumQuadratureComponents(basis, CEED_EVAL_GRAD, &q_comp_grad)); 721 if (q_weight) { 722 CeedCallHip(ceed, hipMalloc((void **)&data->d_q_weight_1d, q_bytes)); 723 CeedCallHip(ceed, hipMemcpy(data->d_q_weight_1d, q_weight, q_bytes, hipMemcpyHostToDevice)); 724 } 725 if (interp) { 726 const CeedInt interp_bytes = q_bytes * num_nodes * q_comp_interp; 727 728 CeedCallHip(ceed, hipMalloc((void **)&data->d_interp_1d, interp_bytes)); 729 CeedCallHip(ceed, hipMemcpy(data->d_interp_1d, interp, interp_bytes, hipMemcpyHostToDevice)); 730 } 731 if (grad) { 732 const CeedInt grad_bytes = q_bytes * num_nodes * q_comp_grad; 733 734 CeedCallHip(ceed, hipMalloc((void **)&data->d_grad_1d, grad_bytes)); 735 CeedCallHip(ceed, hipMemcpy(data->d_grad_1d, grad, grad_bytes, hipMemcpyHostToDevice)); 736 } 737 738 // Compile basis kernels 739 const char basis_kernel_source[] = "// Non-tensor basis source\n#include <ceed/jit-source/hip/hip-shared-basis-nontensor.h>\n"; 740 741 CeedCallBackend(CeedBasisGetNumComponents(basis, &num_comp)); 742 CeedCallBackend(ComputeBasisThreadBlockSizes(dim, num_nodes, num_qpts, num_comp, data->block_sizes)); 743 CeedCallBackend(CeedCompile_Hip(ceed, basis_kernel_source, &data->module, 6, "BASIS_Q", num_qpts, "BASIS_P", num_nodes, "T_1D", 744 CeedIntMax(num_qpts, num_nodes), "BASIS_DIM", dim, "BASIS_NUM_COMP", num_comp, "BASIS_INTERP_BLOCK_SIZE", 745 data->block_sizes[0])); 746 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Interp", &data->Interp)); 747 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "InterpTranspose", &data->InterpTranspose)); 748 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "InterpTransposeAdd", &data->InterpTransposeAdd)); 749 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Grad", &data->Grad)); 750 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "GradTranspose", &data->GradTranspose)); 751 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "GradTransposeAdd", &data->GradTransposeAdd)); 752 CeedCallBackend(CeedGetKernel_Hip(ceed, data->module, "Weight", &data->Weight)); 753 754 CeedCallBackend(CeedBasisSetData(basis, data)); 755 756 // Register backend functions 757 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "Apply", CeedBasisApplyNonTensor_Hip_shared)); 758 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "ApplyAdd", CeedBasisApplyAddNonTensor_Hip_shared)); 759 CeedCallBackend(CeedSetBackendFunction(ceed, "Basis", basis, "Destroy", CeedBasisDestroy_Hip_shared)); 760 CeedCallBackend(CeedDestroy(&ceed)); 761 return CEED_ERROR_SUCCESS; 762 } 763 764 //------------------------------------------------------------------------------ 765