1 // Copyright (c) 2017-2025, 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 /// @file 9 /// Internal header for HIP tensor product basis with AtPoints evaluation 10 #include <ceed/types.h> 11 12 #include "hip-shared-basis-read-write-templates.h" 13 #include "hip-shared-basis-tensor-at-points-templates.h" 14 #include "hip-shared-basis-tensor-templates.h" 15 16 //------------------------------------------------------------------------------ 17 // Tensor Basis Kernels AtPoints 18 //------------------------------------------------------------------------------ 19 20 //------------------------------------------------------------------------------ 21 // Interp 22 //------------------------------------------------------------------------------ 23 extern "C" __launch_bounds__(BASIS_INTERP_BLOCK_SIZE) __global__ 24 void InterpAtPoints(const CeedInt num_elem, const CeedScalar *c_B, const CeedInt *points_per_elem, const CeedScalar *__restrict__ d_X, 25 const CeedScalar *__restrict__ d_U, CeedScalar *__restrict__ d_V) { 26 extern __shared__ CeedScalar slice[]; 27 28 SharedData_Hip data; 29 data.t_id_x = threadIdx.x; 30 data.t_id_y = threadIdx.y; 31 data.t_id_z = threadIdx.z; 32 data.t_id = threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * blockDim.y * blockDim.x; 33 data.slice = slice + data.t_id_z * BASIS_T_1D * (BASIS_DIM > 1 ? BASIS_T_1D : 1); 34 35 CeedScalar r_X[BASIS_DIM]; 36 CeedScalar r_U[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_P_1D : 1)]; 37 CeedScalar r_C[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 38 CeedScalar r_V[BASIS_NUM_COMP]; 39 40 // load chebyshev_interp_1d into shared memory 41 __shared__ CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D]; 42 LoadMatrix<BASIS_P_1D, BASIS_Q_1D>(data, c_B, s_B); 43 __syncthreads(); 44 45 // Apply basis element by element 46 for (CeedInt elem = blockIdx.x * blockDim.z + threadIdx.z; elem < num_elem; elem += gridDim.x * blockDim.z) { 47 // Map to coefficients 48 if (BASIS_DIM == 1) { 49 ReadElementStrided1d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * num_elem, BASIS_P_1D, d_U, r_U); 50 Interp1d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_U, s_B, r_C); 51 } else if (BASIS_DIM == 2) { 52 ReadElementStrided2d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * num_elem, BASIS_P_1D * BASIS_P_1D, d_U, r_U); 53 InterpTensor2d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_U, s_B, r_C); 54 } else if (BASIS_DIM == 3) { 55 ReadElementStrided3d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * BASIS_P_1D * num_elem, 56 BASIS_P_1D * BASIS_P_1D * BASIS_P_1D, d_U, r_U); 57 InterpTensor3d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_U, s_B, r_C); 58 } 59 60 // Map to points 61 const CeedInt point_loop_bound = (blockDim.x * blockDim.y) * ceil(1.0 * BASIS_NUM_PTS / (blockDim.x * blockDim.y)); 62 63 for (CeedInt i = threadIdx.x + threadIdx.y * blockDim.x; i < point_loop_bound; i += blockDim.x * blockDim.y) { 64 const CeedInt p = i % BASIS_NUM_PTS; 65 66 ReadPoint<BASIS_DIM, BASIS_NUM_PTS>(data, elem, p, BASIS_NUM_PTS, 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_X, r_X); 67 if (BASIS_DIM == 1) { 68 InterpAtPoints1d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_C, r_X, r_V); 69 } else if (BASIS_DIM == 2) { 70 InterpAtPoints2d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_C, r_X, r_V); 71 } else if (BASIS_DIM == 3) { 72 InterpAtPoints3d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_C, r_X, r_V); 73 } 74 WritePoint<BASIS_NUM_COMP, BASIS_NUM_PTS>(data, elem, p, BASIS_NUM_PTS, 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, r_V, d_V); 75 } 76 } 77 } 78 79 extern "C" __launch_bounds__(BASIS_INTERP_BLOCK_SIZE) __global__ 80 void InterpTransposeAtPoints(const CeedInt num_elem, const CeedScalar *c_B, const CeedInt *points_per_elem, const CeedScalar *__restrict__ d_X, 81 const CeedScalar *__restrict__ d_U, CeedScalar *__restrict__ d_V) { 82 extern __shared__ CeedScalar slice[]; 83 84 SharedData_Hip data; 85 data.t_id_x = threadIdx.x; 86 data.t_id_y = threadIdx.y; 87 data.t_id_z = threadIdx.z; 88 data.t_id = threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * blockDim.y * blockDim.x; 89 data.slice = slice + data.t_id_z * BASIS_T_1D * (BASIS_DIM > 1 ? BASIS_T_1D : 1); 90 91 CeedScalar r_X[BASIS_DIM]; 92 CeedScalar r_U[BASIS_NUM_COMP]; 93 CeedScalar r_C[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 94 CeedScalar r_V[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 95 96 // load chebyshev_interp_1d into shared memory 97 __shared__ CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D]; 98 LoadMatrix<BASIS_P_1D, BASIS_Q_1D>(data, c_B, s_B); 99 __syncthreads(); 100 101 // Apply basis element by element 102 for (CeedInt elem = blockIdx.x * blockDim.z + threadIdx.z; elem < num_elem; elem += gridDim.x * blockDim.z) { 103 // Clear register 104 for (CeedInt i = 0; i < BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1); i++) r_C[i] = 0.0; 105 106 // Clear output vector 107 for (CeedInt i = 0; i < BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1); i++) r_V[i] = 0.0; 108 if (BASIS_DIM == 1) { 109 WriteElementStrided1d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * num_elem, BASIS_P_1D, r_V, d_V); 110 } else if (BASIS_DIM == 2) { 111 WriteElementStrided2d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * num_elem, BASIS_P_1D * BASIS_P_1D, r_V, d_V); 112 } else if (BASIS_DIM == 3) { 113 WriteElementStrided3d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * BASIS_P_1D * num_elem, 114 BASIS_P_1D * BASIS_P_1D * BASIS_P_1D, r_V, d_V); 115 } 116 117 // Map from points 118 const CeedInt point_loop_bound = (blockDim.x * blockDim.y) * ceil(1.0 * BASIS_NUM_PTS / (blockDim.x * blockDim.y)); 119 120 for (CeedInt i = threadIdx.x + threadIdx.y * blockDim.x; i < point_loop_bound; i += blockDim.x * blockDim.y) { 121 const CeedInt p = i % BASIS_NUM_PTS; 122 123 ReadPoint<BASIS_DIM, BASIS_NUM_PTS>(data, elem, p, BASIS_NUM_PTS, 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_X, r_X); 124 ReadPoint<BASIS_NUM_COMP, BASIS_NUM_PTS>(data, elem, i, points_per_elem[elem], 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_U, r_U); 125 if (BASIS_DIM == 1) { 126 InterpTransposeAtPoints1d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 127 } else if (BASIS_DIM == 2) { 128 InterpTransposeAtPoints2d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 129 } else if (BASIS_DIM == 3) { 130 InterpTransposeAtPoints3d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 131 } 132 } 133 134 // Map from coefficients 135 if (BASIS_DIM == 1) { 136 InterpTranspose1d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 137 SumElementStrided1d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * num_elem, BASIS_P_1D, r_V, d_V); 138 } else if (BASIS_DIM == 2) { 139 InterpTransposeTensor2d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 140 SumElementStrided2d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * num_elem, BASIS_P_1D * BASIS_P_1D, r_V, d_V); 141 } else if (BASIS_DIM == 3) { 142 InterpTransposeTensor3d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 143 SumElementStrided3d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * BASIS_P_1D * num_elem, 144 BASIS_P_1D * BASIS_P_1D * BASIS_P_1D, r_V, d_V); 145 } 146 } 147 } 148 149 extern "C" __launch_bounds__(BASIS_INTERP_BLOCK_SIZE) __global__ 150 void InterpTransposeAddAtPoints(const CeedInt num_elem, const CeedScalar *c_B, const CeedInt *points_per_elem, const CeedScalar *__restrict__ d_X, 151 const CeedScalar *__restrict__ d_U, CeedScalar *__restrict__ d_V) { 152 extern __shared__ CeedScalar slice[]; 153 154 SharedData_Hip data; 155 data.t_id_x = threadIdx.x; 156 data.t_id_y = threadIdx.y; 157 data.t_id_z = threadIdx.z; 158 data.t_id = threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * blockDim.y * blockDim.x; 159 data.slice = slice + data.t_id_z * BASIS_T_1D * (BASIS_DIM > 1 ? BASIS_T_1D : 1); 160 161 CeedScalar r_X[BASIS_DIM]; 162 CeedScalar r_U[BASIS_NUM_COMP]; 163 CeedScalar r_C[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 164 CeedScalar r_V[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 165 166 // load chebyshev_interp_1d into shared memory 167 __shared__ CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D]; 168 LoadMatrix<BASIS_P_1D, BASIS_Q_1D>(data, c_B, s_B); 169 __syncthreads(); 170 171 // Apply basis element by element 172 for (CeedInt elem = blockIdx.x * blockDim.z + threadIdx.z; elem < num_elem; elem += gridDim.x * blockDim.z) { 173 // Clear register 174 for (CeedInt i = 0; i < BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1); i++) r_C[i] = 0.0; 175 176 // Map from points 177 const CeedInt point_loop_bound = (blockDim.x * blockDim.y) * ceil(1.0 * BASIS_NUM_PTS / (blockDim.x * blockDim.y)); 178 179 for (CeedInt i = threadIdx.x + threadIdx.y * blockDim.x; i < point_loop_bound; i += blockDim.x * blockDim.y) { 180 const CeedInt p = i % BASIS_NUM_PTS; 181 182 ReadPoint<BASIS_DIM, BASIS_NUM_PTS>(data, elem, p, BASIS_NUM_PTS, 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_X, r_X); 183 ReadPoint<BASIS_NUM_COMP, BASIS_NUM_PTS>(data, elem, i, points_per_elem[elem], 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_U, r_U); 184 if (BASIS_DIM == 1) { 185 InterpTransposeAtPoints1d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 186 } else if (BASIS_DIM == 2) { 187 InterpTransposeAtPoints2d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 188 } else if (BASIS_DIM == 3) { 189 InterpTransposeAtPoints3d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 190 } 191 } 192 193 // Map from coefficients 194 if (BASIS_DIM == 1) { 195 InterpTranspose1d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 196 SumElementStrided1d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * num_elem, BASIS_P_1D, r_V, d_V); 197 } else if (BASIS_DIM == 2) { 198 InterpTransposeTensor2d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 199 SumElementStrided2d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * num_elem, BASIS_P_1D * BASIS_P_1D, r_V, d_V); 200 } else if (BASIS_DIM == 3) { 201 InterpTransposeTensor3d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 202 SumElementStrided3d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * BASIS_P_1D * num_elem, 203 BASIS_P_1D * BASIS_P_1D * BASIS_P_1D, r_V, d_V); 204 } 205 } 206 } 207 208 //------------------------------------------------------------------------------ 209 // Grad 210 //------------------------------------------------------------------------------ 211 extern "C" __launch_bounds__(BASIS_INTERP_BLOCK_SIZE) __global__ 212 void GradAtPoints(const CeedInt num_elem, const CeedScalar *c_B, const CeedInt *points_per_elem, const CeedScalar *__restrict__ d_X, 213 const CeedScalar *__restrict__ d_U, CeedScalar *__restrict__ d_V) { 214 extern __shared__ CeedScalar slice[]; 215 216 SharedData_Hip data; 217 data.t_id_x = threadIdx.x; 218 data.t_id_y = threadIdx.y; 219 data.t_id_z = threadIdx.z; 220 data.t_id = threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * blockDim.y * blockDim.x; 221 data.slice = slice + data.t_id_z * BASIS_T_1D * (BASIS_DIM > 1 ? BASIS_T_1D : 1); 222 223 CeedScalar r_X[BASIS_DIM]; 224 CeedScalar r_U[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_P_1D : 1)]; 225 CeedScalar r_C[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 226 CeedScalar r_V[BASIS_NUM_COMP * BASIS_DIM]; 227 228 // load chebyshev_interp_1d into shared memory 229 __shared__ CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D]; 230 LoadMatrix<BASIS_P_1D, BASIS_Q_1D>(data, c_B, s_B); 231 __syncthreads(); 232 233 // Apply basis element by element 234 for (CeedInt elem = blockIdx.x * blockDim.z + threadIdx.z; elem < num_elem; elem += gridDim.x * blockDim.z) { 235 // Map to coefficients 236 if (BASIS_DIM == 1) { 237 ReadElementStrided1d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * num_elem, BASIS_P_1D, d_U, r_U); 238 Interp1d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_U, s_B, r_C); 239 } else if (BASIS_DIM == 2) { 240 ReadElementStrided2d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * num_elem, BASIS_P_1D * BASIS_P_1D, d_U, r_U); 241 InterpTensor2d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_U, s_B, r_C); 242 } else if (BASIS_DIM == 3) { 243 ReadElementStrided3d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * BASIS_P_1D * num_elem, 244 BASIS_P_1D * BASIS_P_1D * BASIS_P_1D, d_U, r_U); 245 InterpTensor3d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_U, s_B, r_C); 246 } 247 248 // Map to points 249 const CeedInt point_loop_bound = (blockDim.x * blockDim.y) * ceil(1.0 * BASIS_NUM_PTS / (blockDim.x * blockDim.y)); 250 251 for (CeedInt i = threadIdx.x + threadIdx.y * blockDim.x; i < point_loop_bound; i += blockDim.x * blockDim.y) { 252 const CeedInt p = i % BASIS_NUM_PTS; 253 254 ReadPoint<BASIS_DIM, BASIS_NUM_PTS>(data, elem, p, BASIS_NUM_PTS, 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_X, r_X); 255 if (BASIS_DIM == 1) { 256 GradAtPoints1d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_C, r_X, r_V); 257 } else if (BASIS_DIM == 2) { 258 GradAtPoints2d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_C, r_X, r_V); 259 } else if (BASIS_DIM == 3) { 260 GradAtPoints3d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_C, r_X, r_V); 261 } 262 WritePoint<BASIS_NUM_COMP * BASIS_DIM, BASIS_NUM_PTS>(data, elem, p, BASIS_NUM_PTS, 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, r_V, d_V); 263 } 264 } 265 } 266 267 extern "C" __launch_bounds__(BASIS_INTERP_BLOCK_SIZE) __global__ 268 void GradTransposeAtPoints(const CeedInt num_elem, const CeedScalar *c_B, const CeedInt *points_per_elem, const CeedScalar *__restrict__ d_X, 269 const CeedScalar *__restrict__ d_U, CeedScalar *__restrict__ d_V) { 270 extern __shared__ CeedScalar slice[]; 271 272 SharedData_Hip data; 273 data.t_id_x = threadIdx.x; 274 data.t_id_y = threadIdx.y; 275 data.t_id_z = threadIdx.z; 276 data.t_id = threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * blockDim.y * blockDim.x; 277 data.slice = slice + data.t_id_z * BASIS_T_1D * (BASIS_DIM > 1 ? BASIS_T_1D : 1); 278 279 CeedScalar r_X[BASIS_DIM]; 280 CeedScalar r_U[BASIS_NUM_COMP * BASIS_DIM]; 281 CeedScalar r_C[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 282 CeedScalar r_V[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 283 284 // load chebyshev_interp_1d into shared memory 285 __shared__ CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D]; 286 LoadMatrix<BASIS_P_1D, BASIS_Q_1D>(data, c_B, s_B); 287 __syncthreads(); 288 289 // Apply basis element by element 290 for (CeedInt elem = blockIdx.x * blockDim.z + threadIdx.z; elem < num_elem; elem += gridDim.x * blockDim.z) { 291 // Clear register 292 for (CeedInt i = 0; i < BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1); i++) r_C[i] = 0.0; 293 294 // Clear output vector 295 for (CeedInt i = 0; i < BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1); i++) r_V[i] = 0.0; 296 if (BASIS_DIM == 1) { 297 WriteElementStrided1d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * num_elem, BASIS_P_1D, r_V, d_V); 298 } else if (BASIS_DIM == 2) { 299 WriteElementStrided2d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * num_elem, BASIS_P_1D * BASIS_P_1D, r_V, d_V); 300 } else if (BASIS_DIM == 3) { 301 WriteElementStrided3d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * BASIS_P_1D * num_elem, 302 BASIS_P_1D * BASIS_P_1D * BASIS_P_1D, r_V, d_V); 303 } 304 305 // Map from points 306 const CeedInt point_loop_bound = (blockDim.x * blockDim.y) * ceil(1.0 * BASIS_NUM_PTS / (blockDim.x * blockDim.y)); 307 308 for (CeedInt i = threadIdx.x + threadIdx.y * blockDim.x; i < point_loop_bound; i += blockDim.x * blockDim.y) { 309 const CeedInt p = i % BASIS_NUM_PTS; 310 311 ReadPoint<BASIS_DIM, BASIS_NUM_PTS>(data, elem, p, BASIS_NUM_PTS, 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_X, r_X); 312 ReadPoint<BASIS_NUM_COMP * BASIS_DIM, BASIS_NUM_PTS>(data, elem, i, points_per_elem[elem], 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_U, 313 r_U); 314 if (BASIS_DIM == 1) { 315 GradTransposeAtPoints1d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 316 } else if (BASIS_DIM == 2) { 317 GradTransposeAtPoints2d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 318 } else if (BASIS_DIM == 3) { 319 GradTransposeAtPoints3d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 320 } 321 } 322 323 // Map from coefficients 324 if (BASIS_DIM == 1) { 325 InterpTranspose1d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 326 SumElementStrided1d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * num_elem, BASIS_P_1D, r_V, d_V); 327 } else if (BASIS_DIM == 2) { 328 InterpTransposeTensor2d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 329 SumElementStrided2d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * num_elem, BASIS_P_1D * BASIS_P_1D, r_V, d_V); 330 } else if (BASIS_DIM == 3) { 331 InterpTransposeTensor3d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 332 SumElementStrided3d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * BASIS_P_1D * num_elem, 333 BASIS_P_1D * BASIS_P_1D * BASIS_P_1D, r_V, d_V); 334 } 335 } 336 } 337 338 extern "C" __launch_bounds__(BASIS_INTERP_BLOCK_SIZE) __global__ 339 void GradTransposeAddAtPoints(const CeedInt num_elem, const CeedScalar *c_B, const CeedInt *points_per_elem, const CeedScalar *__restrict__ d_X, 340 const CeedScalar *__restrict__ d_U, CeedScalar *__restrict__ d_V) { 341 extern __shared__ CeedScalar slice[]; 342 343 SharedData_Hip data; 344 data.t_id_x = threadIdx.x; 345 data.t_id_y = threadIdx.y; 346 data.t_id_z = threadIdx.z; 347 data.t_id = threadIdx.x + threadIdx.y * blockDim.x + threadIdx.z * blockDim.y * blockDim.x; 348 data.slice = slice + data.t_id_z * BASIS_T_1D * (BASIS_DIM > 1 ? BASIS_T_1D : 1); 349 350 CeedScalar r_X[BASIS_DIM]; 351 CeedScalar r_U[BASIS_NUM_COMP * BASIS_DIM]; 352 CeedScalar r_C[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 353 CeedScalar r_V[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)]; 354 355 // load chebyshev_interp_1d into shared memory 356 __shared__ CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D]; 357 LoadMatrix<BASIS_P_1D, BASIS_Q_1D>(data, c_B, s_B); 358 __syncthreads(); 359 360 // Apply basis element by element 361 for (CeedInt elem = blockIdx.x * blockDim.z + threadIdx.z; elem < num_elem; elem += gridDim.x * blockDim.z) { 362 // Clear register 363 for (CeedInt i = 0; i < BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1); i++) r_C[i] = 0.0; 364 365 // Map from points 366 const CeedInt point_loop_bound = (blockDim.x * blockDim.y) * ceil(1.0 * BASIS_NUM_PTS / (blockDim.x * blockDim.y)); 367 368 for (CeedInt i = threadIdx.x + threadIdx.y * blockDim.x; i < point_loop_bound; i += blockDim.x * blockDim.y) { 369 const CeedInt p = i % BASIS_NUM_PTS; 370 371 ReadPoint<BASIS_DIM, BASIS_NUM_PTS>(data, elem, p, BASIS_NUM_PTS, 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_X, r_X); 372 ReadPoint<BASIS_NUM_COMP * BASIS_DIM, BASIS_NUM_PTS>(data, elem, i, points_per_elem[elem], 1, num_elem * BASIS_NUM_PTS, BASIS_NUM_PTS, d_U, 373 r_U); 374 if (BASIS_DIM == 1) { 375 GradTransposeAtPoints1d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 376 } else if (BASIS_DIM == 2) { 377 GradTransposeAtPoints2d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 378 } else if (BASIS_DIM == 3) { 379 GradTransposeAtPoints3d<BASIS_NUM_COMP, BASIS_NUM_PTS, BASIS_P_1D, BASIS_Q_1D>(data, i, r_U, r_X, r_C); 380 } 381 } 382 383 // Map from coefficients 384 if (BASIS_DIM == 1) { 385 InterpTranspose1d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 386 SumElementStrided1d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * num_elem, BASIS_P_1D, r_V, d_V); 387 } else if (BASIS_DIM == 2) { 388 InterpTransposeTensor2d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 389 SumElementStrided2d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * num_elem, BASIS_P_1D * BASIS_P_1D, r_V, d_V); 390 } else if (BASIS_DIM == 3) { 391 InterpTransposeTensor3d<BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, BASIS_T_1D>(data, r_C, s_B, r_V); 392 SumElementStrided3d<BASIS_NUM_COMP, BASIS_P_1D>(data, elem, 1, BASIS_P_1D * BASIS_P_1D * BASIS_P_1D * num_elem, 393 BASIS_P_1D * BASIS_P_1D * BASIS_P_1D, r_V, d_V); 394 } 395 } 396 } 397