1 // Copyright (c) 2017-2022, 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 backend macro and type definitions for JiT source 10 #ifndef CEED_HIP_GEN_TEMPLATES_H 11 #define CEED_HIP_GEN_TEMPLATES_H 12 13 #include <ceed.h> 14 15 //------------------------------------------------------------------------------ 16 // Load matrices for basis actions 17 //------------------------------------------------------------------------------ 18 template <int P, int Q> 19 inline __device__ void loadMatrix(SharedData_Hip &data, const CeedScalar *__restrict__ d_B, CeedScalar *B) { 20 for (CeedInt i = data.t_id; i < P * Q; i += blockDim.x * blockDim.y * blockDim.z) B[i] = d_B[i]; 21 } 22 23 //------------------------------------------------------------------------------ 24 // 1D 25 //------------------------------------------------------------------------------ 26 27 //------------------------------------------------------------------------------ 28 // L-vector -> E-vector, offsets provided 29 //------------------------------------------------------------------------------ 30 template <int NUM_COMP, int COMP_STRIDE, int P_1d> 31 inline __device__ void readDofsOffset1d(SharedData_Hip &data, const CeedInt num_nodes, const CeedInt elem, const CeedInt *__restrict__ indices, 32 const CeedScalar *__restrict__ d_u, CeedScalar *__restrict__ r_u) { 33 if (data.t_id_x < P_1d) { 34 const CeedInt node = data.t_id_x; 35 const CeedInt ind = indices[node + elem * P_1d]; 36 37 for (CeedInt comp = 0; comp < NUM_COMP; comp++) r_u[comp] = d_u[ind + COMP_STRIDE * comp]; 38 } 39 } 40 41 //------------------------------------------------------------------------------ 42 // L-vector -> E-vector, strided 43 //------------------------------------------------------------------------------ 44 template <int NUM_COMP, int P_1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 45 inline __device__ void readDofsStrided1d(SharedData_Hip &data, const CeedInt elem, const CeedScalar *__restrict__ d_u, CeedScalar *__restrict__ r_u) { 46 if (data.t_id_x < P_1d) { 47 const CeedInt node = data.t_id_x; 48 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 49 50 for (CeedInt comp = 0; comp < NUM_COMP; comp++) r_u[comp] = d_u[ind + comp * STRIDES_COMP]; 51 } 52 } 53 54 //------------------------------------------------------------------------------ 55 // E-vector -> L-vector, offsets provided 56 //------------------------------------------------------------------------------ 57 template <int NUM_COMP, int COMP_STRIDE, int P_1d> 58 inline __device__ void writeDofsOffset1d(SharedData_Hip &data, const CeedInt num_nodes, const CeedInt elem, const CeedInt *__restrict__ indices, 59 const CeedScalar *__restrict__ r_v, CeedScalar *__restrict__ d_v) { 60 if (data.t_id_x < P_1d) { 61 const CeedInt node = data.t_id_x; 62 const CeedInt ind = indices[node + elem * P_1d]; 63 64 for (CeedInt comp = 0; comp < NUM_COMP; comp++) atomicAdd(&d_v[ind + COMP_STRIDE * comp], r_v[comp]); 65 } 66 } 67 68 //------------------------------------------------------------------------------ 69 // E-vector -> L-vector, strided 70 //------------------------------------------------------------------------------ 71 template <int NUM_COMP, int P_1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 72 inline __device__ void writeDofsStrided1d(SharedData_Hip &data, const CeedInt elem, const CeedScalar *__restrict__ r_v, 73 CeedScalar *__restrict__ d_v) { 74 if (data.t_id_x < P_1d) { 75 const CeedInt node = data.t_id_x; 76 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 77 78 for (CeedInt comp = 0; comp < NUM_COMP; comp++) d_v[ind + comp * STRIDES_COMP] += r_v[comp]; 79 } 80 } 81 82 //------------------------------------------------------------------------------ 83 // 2D 84 //------------------------------------------------------------------------------ 85 86 //------------------------------------------------------------------------------ 87 // L-vector -> E-vector, offsets provided 88 //------------------------------------------------------------------------------ 89 template <int NUM_COMP, int COMP_STRIDE, int P_1d> 90 inline __device__ void readDofsOffset2d(SharedData_Hip &data, const CeedInt num_nodes, const CeedInt elem, const CeedInt *__restrict__ indices, 91 const CeedScalar *__restrict__ d_u, CeedScalar *__restrict__ r_u) { 92 if (data.t_id_x < P_1d && data.t_id_y < P_1d) { 93 const CeedInt node = data.t_id_x + data.t_id_y * P_1d; 94 const CeedInt ind = indices[node + elem * P_1d * P_1d]; 95 96 for (CeedInt comp = 0; comp < NUM_COMP; comp++) r_u[comp] = d_u[ind + COMP_STRIDE * comp]; 97 } 98 } 99 100 //------------------------------------------------------------------------------ 101 // L-vector -> E-vector, strided 102 //------------------------------------------------------------------------------ 103 template <int NUM_COMP, int P_1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 104 inline __device__ void readDofsStrided2d(SharedData_Hip &data, const CeedInt elem, const CeedScalar *__restrict__ d_u, CeedScalar *__restrict__ r_u) { 105 if (data.t_id_x < P_1d && data.t_id_y < P_1d) { 106 const CeedInt node = data.t_id_x + data.t_id_y * P_1d; 107 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 108 109 for (CeedInt comp = 0; comp < NUM_COMP; comp++) r_u[comp] = d_u[ind + comp * STRIDES_COMP]; 110 } 111 } 112 113 //------------------------------------------------------------------------------ 114 // E-vector -> L-vector, offsets provided 115 //------------------------------------------------------------------------------ 116 template <int NUM_COMP, int COMP_STRIDE, int P_1d> 117 inline __device__ void writeDofsOffset2d(SharedData_Hip &data, const CeedInt num_nodes, const CeedInt elem, const CeedInt *__restrict__ indices, 118 const CeedScalar *__restrict__ r_v, CeedScalar *__restrict__ d_v) { 119 if (data.t_id_x < P_1d && data.t_id_y < P_1d) { 120 const CeedInt node = data.t_id_x + data.t_id_y * P_1d; 121 const CeedInt ind = indices[node + elem * P_1d * P_1d]; 122 123 for (CeedInt comp = 0; comp < NUM_COMP; comp++) atomicAdd(&d_v[ind + COMP_STRIDE * comp], r_v[comp]); 124 } 125 } 126 127 //------------------------------------------------------------------------------ 128 // E-vector -> L-vector, strided 129 //------------------------------------------------------------------------------ 130 template <int NUM_COMP, int P_1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 131 inline __device__ void writeDofsStrided2d(SharedData_Hip &data, const CeedInt elem, const CeedScalar *__restrict__ r_v, 132 CeedScalar *__restrict__ d_v) { 133 if (data.t_id_x < P_1d && data.t_id_y < P_1d) { 134 const CeedInt node = data.t_id_x + data.t_id_y * P_1d; 135 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 136 137 for (CeedInt comp = 0; comp < NUM_COMP; comp++) d_v[ind + comp * STRIDES_COMP] += r_v[comp]; 138 } 139 } 140 141 //------------------------------------------------------------------------------ 142 // 3D 143 //------------------------------------------------------------------------------ 144 145 //------------------------------------------------------------------------------ 146 // L-vector -> E-vector, offsets provided 147 //------------------------------------------------------------------------------ 148 // TODO: remove "Dofs" and "Quads" in the following function names? 149 // - readDofsOffset3d -> readOffset3d ? 150 // - readDofsStrided3d -> readStrided3d ? 151 // - readSliceQuadsOffset3d -> readSliceOffset3d ? 152 // - readSliceQuadsStrided3d -> readSliceStrided3d ? 153 // - writeDofsOffset3d -> writeOffset3d ? 154 // - writeDofsStrided3d -> writeStrided3d ? 155 template <int NUM_COMP, int COMP_STRIDE, int P_1d> 156 inline __device__ void readDofsOffset3d(SharedData_Hip &data, const CeedInt num_nodes, const CeedInt elem, const CeedInt *__restrict__ indices, 157 const CeedScalar *__restrict__ d_u, CeedScalar *__restrict__ r_u) { 158 if (data.t_id_x < P_1d && data.t_id_y < P_1d) 159 for (CeedInt z = 0; z < P_1d; z++) { 160 const CeedInt node = data.t_id_x + data.t_id_y * P_1d + z * P_1d * P_1d; 161 const CeedInt ind = indices[node + elem * P_1d * P_1d * P_1d]; 162 163 for (CeedInt comp = 0; comp < NUM_COMP; comp++) r_u[z + comp * P_1d] = d_u[ind + COMP_STRIDE * comp]; 164 } 165 } 166 167 //------------------------------------------------------------------------------ 168 // L-vector -> E-vector, strided 169 //------------------------------------------------------------------------------ 170 template <int NUM_COMP, int P_1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 171 inline __device__ void readDofsStrided3d(SharedData_Hip &data, const CeedInt elem, const CeedScalar *__restrict__ d_u, CeedScalar *__restrict__ r_u) { 172 if (data.t_id_x < P_1d && data.t_id_y < P_1d) 173 for (CeedInt z = 0; z < P_1d; z++) { 174 const CeedInt node = data.t_id_x + data.t_id_y * P_1d + z * P_1d * P_1d; 175 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 176 177 for (CeedInt comp = 0; comp < NUM_COMP; comp++) r_u[z + comp * P_1d] = d_u[ind + comp * STRIDES_COMP]; 178 } 179 } 180 181 //------------------------------------------------------------------------------ 182 // E-vector -> Q-vector, offests provided 183 //------------------------------------------------------------------------------ 184 template <int NUM_COMP, int COMP_STRIDE, int Q_1d> 185 inline __device__ void readSliceQuadsOffset3d(SharedData_Hip &data, const CeedInt nquads, const CeedInt elem, const CeedInt q, 186 const CeedInt *__restrict__ indices, const CeedScalar *__restrict__ d_u, CeedScalar *__restrict__ r_u) { 187 if (data.t_id_x < Q_1d && data.t_id_y < Q_1d) { 188 const CeedInt node = data.t_id_x + data.t_id_y * Q_1d + q * Q_1d * Q_1d; 189 const CeedInt ind = indices[node + elem * Q_1d * Q_1d * Q_1d]; 190 191 for (CeedInt comp = 0; comp < NUM_COMP; comp++) r_u[comp] = d_u[ind + COMP_STRIDE * comp]; 192 } 193 } 194 195 //------------------------------------------------------------------------------ 196 // E-vector -> Q-vector, strided 197 //------------------------------------------------------------------------------ 198 template <int NUM_COMP, int Q_1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 199 inline __device__ void readSliceQuadsStrided3d(SharedData_Hip &data, const CeedInt elem, const CeedInt q, const CeedScalar *__restrict__ d_u, 200 CeedScalar *__restrict__ r_u) { 201 if (data.t_id_x < Q_1d && data.t_id_y < Q_1d) { 202 const CeedInt node = data.t_id_x + data.t_id_y * Q_1d + q * Q_1d * Q_1d; 203 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 204 205 for (CeedInt comp = 0; comp < NUM_COMP; comp++) r_u[comp] = d_u[ind + comp * STRIDES_COMP]; 206 } 207 } 208 209 //------------------------------------------------------------------------------ 210 // E-vector -> L-vector, offsets provided 211 //------------------------------------------------------------------------------ 212 template <int NUM_COMP, int COMP_STRIDE, int P_1d> 213 inline __device__ void writeDofsOffset3d(SharedData_Hip &data, const CeedInt num_nodes, const CeedInt elem, const CeedInt *__restrict__ indices, 214 const CeedScalar *__restrict__ r_v, CeedScalar *__restrict__ d_v) { 215 if (data.t_id_x < P_1d && data.t_id_y < P_1d) 216 for (CeedInt z = 0; z < P_1d; z++) { 217 const CeedInt node = data.t_id_x + data.t_id_y * P_1d + z * P_1d * P_1d; 218 const CeedInt ind = indices[node + elem * P_1d * P_1d * P_1d]; 219 220 for (CeedInt comp = 0; comp < NUM_COMP; comp++) atomicAdd(&d_v[ind + COMP_STRIDE * comp], r_v[z + comp * P_1d]); 221 } 222 } 223 224 //------------------------------------------------------------------------------ 225 // E-vector -> L-vector, strided 226 //------------------------------------------------------------------------------ 227 template <int NUM_COMP, int P_1d, int STRIDES_NODE, int STRIDES_COMP, int STRIDES_ELEM> 228 inline __device__ void writeDofsStrided3d(SharedData_Hip &data, const CeedInt elem, const CeedScalar *__restrict__ r_v, 229 CeedScalar *__restrict__ d_v) { 230 if (data.t_id_x < P_1d && data.t_id_y < P_1d) 231 for (CeedInt z = 0; z < P_1d; z++) { 232 const CeedInt node = data.t_id_x + data.t_id_y * P_1d + z * P_1d * P_1d; 233 const CeedInt ind = node * STRIDES_NODE + elem * STRIDES_ELEM; 234 235 for (CeedInt comp = 0; comp < NUM_COMP; comp++) d_v[ind + comp * STRIDES_COMP] += r_v[z + comp * P_1d]; 236 } 237 } 238 239 //------------------------------------------------------------------------------ 240 // 3D collocated derivatives computation 241 //------------------------------------------------------------------------------ 242 template <int NUM_COMP, int Q_1d> 243 inline __device__ void gradCollo3d(SharedData_Hip &data, const CeedInt q, const CeedScalar *__restrict__ r_U, const CeedScalar *c_G, 244 CeedScalar *__restrict__ r_V) { 245 if (data.t_id_x < Q_1d && data.t_id_y < Q_1d) { 246 for (CeedInt comp = 0; comp < NUM_COMP; comp++) { 247 data.slice[data.t_id_x + data.t_id_y * T_1D] = r_U[q + comp * Q_1d]; 248 __syncthreads(); 249 // X derivative 250 r_V[comp + 0 * NUM_COMP] = 0.0; 251 for (CeedInt i = 0; i < Q_1d; i++) 252 r_V[comp + 0 * NUM_COMP] += c_G[i + data.t_id_x * Q_1d] * data.slice[i + data.t_id_y * T_1D]; // Contract x direction (X derivative) 253 // Y derivative 254 r_V[comp + 1 * NUM_COMP] = 0.0; 255 for (CeedInt i = 0; i < Q_1d; i++) 256 r_V[comp + 1 * NUM_COMP] += c_G[i + data.t_id_y * Q_1d] * data.slice[data.t_id_x + i * T_1D]; // Contract y direction (Y derivative) 257 // Z derivative 258 r_V[comp + 2 * NUM_COMP] = 0.0; 259 for (CeedInt i = 0; i < Q_1d; i++) r_V[comp + 2 * NUM_COMP] += c_G[i + q * Q_1d] * r_U[i + comp * Q_1d]; // Contract z direction (Z derivative) 260 __syncthreads(); 261 } 262 } 263 } 264 265 //------------------------------------------------------------------------------ 266 // 3D collocated derivatives transpose 267 //------------------------------------------------------------------------------ 268 template <int NUM_COMP, int Q_1d> 269 inline __device__ void gradColloTranspose3d(SharedData_Hip &data, const CeedInt q, const CeedScalar *__restrict__ r_U, const CeedScalar *c_G, 270 CeedScalar *__restrict__ r_V) { 271 if (data.t_id_x < Q_1d && data.t_id_y < Q_1d) { 272 for (CeedInt comp = 0; comp < NUM_COMP; comp++) { 273 // X derivative 274 data.slice[data.t_id_x + data.t_id_y * T_1D] = r_U[comp + 0 * NUM_COMP]; 275 __syncthreads(); 276 for (CeedInt i = 0; i < Q_1d; i++) 277 r_V[q + comp * Q_1d] += c_G[data.t_id_x + i * Q_1d] * data.slice[i + data.t_id_y * T_1D]; // Contract x direction (X derivative) 278 __syncthreads(); 279 // Y derivative 280 data.slice[data.t_id_x + data.t_id_y * T_1D] = r_U[comp + 1 * NUM_COMP]; 281 __syncthreads(); 282 for (CeedInt i = 0; i < Q_1d; i++) 283 r_V[q + comp * Q_1d] += c_G[data.t_id_y + i * Q_1d] * data.slice[data.t_id_x + i * T_1D]; // Contract y direction (Y derivative) 284 __syncthreads(); 285 // Z derivative 286 for (CeedInt i = 0; i < Q_1d; i++) 287 r_V[i + comp * Q_1d] += c_G[i + q * Q_1d] * r_U[comp + 2 * NUM_COMP]; // PARTIAL contract z direction (Z derivative) 288 } 289 } 290 } 291 292 #endif // CEED_HIP_GEN_TEMPLATES_H 293