xref: /libCEED/include/ceed/jit-source/hip/hip-ref-basis-tensor.h (revision b6972d7456611f84b0e462eb1490bcb662442e6a)
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 tensor product basis
10 #ifndef CEED_HIP_REF_BASIS_TENSOR_H
11 #define CEED_HIP_REF_BASIS_TENSOR_H
12 
13 #include <ceed.h>
14 
15 //------------------------------------------------------------------------------
16 // Tensor Basis Kernels
17 //------------------------------------------------------------------------------
18 
19 //------------------------------------------------------------------------------
20 // Interp
21 //------------------------------------------------------------------------------
22 extern "C" __global__ void Interp(const CeedInt num_elem, const CeedInt transpose, const CeedScalar *__restrict__ interp_1d,
23                                   const CeedScalar *__restrict__ u, CeedScalar *__restrict__ v) {
24   const CeedInt i = threadIdx.x;
25 
26   __shared__ CeedScalar s_mem[BASIS_Q_1D * BASIS_P_1D + 2 * BASIS_BUF_LEN];
27   CeedScalar           *s_interp_1d = s_mem;
28   CeedScalar           *s_buffer_1  = s_mem + BASIS_Q_1D * BASIS_P_1D;
29   CeedScalar           *s_buffer_2  = s_buffer_1 + BASIS_BUF_LEN;
30   for (CeedInt k = i; k < BASIS_Q_1D * BASIS_P_1D; k += blockDim.x) {
31     s_interp_1d[k] = interp_1d[k];
32   }
33 
34   const CeedInt P             = transpose ? BASIS_Q_1D : BASIS_P_1D;
35   const CeedInt Q             = transpose ? BASIS_P_1D : BASIS_Q_1D;
36   const CeedInt stride_0      = transpose ? 1 : BASIS_P_1D;
37   const CeedInt stride_1      = transpose ? BASIS_P_1D : 1;
38   const CeedInt u_stride      = transpose ? BASIS_NUM_QPTS : BASIS_NUM_NODES;
39   const CeedInt v_stride      = transpose ? BASIS_NUM_NODES : BASIS_NUM_QPTS;
40   const CeedInt u_comp_stride = num_elem * (transpose ? BASIS_NUM_QPTS : BASIS_NUM_NODES);
41   const CeedInt v_comp_stride = num_elem * (transpose ? BASIS_NUM_NODES : BASIS_NUM_QPTS);
42   const CeedInt u_size        = transpose ? BASIS_NUM_QPTS : BASIS_NUM_NODES;
43 
44   // Apply basis element by element
45   for (CeedInt elem = blockIdx.x; elem < num_elem; elem += gridDim.x) {
46     for (CeedInt comp = 0; comp < BASIS_NUM_COMP; comp++) {
47       const CeedScalar *cur_u = u + elem * u_stride + comp * u_comp_stride;
48       CeedScalar       *cur_v = v + elem * v_stride + comp * v_comp_stride;
49       CeedInt           pre   = u_size;
50       CeedInt           post  = 1;
51 
52       for (CeedInt k = i; k < u_size; k += blockDim.x) {
53         s_buffer_1[k] = cur_u[k];
54       }
55       for (CeedInt d = 0; d < BASIS_DIM; d++) {
56         __syncthreads();
57         // Update buffers used
58         pre /= P;
59         const CeedScalar *in       = d % 2 ? s_buffer_2 : s_buffer_1;
60         CeedScalar       *out      = d == BASIS_DIM - 1 ? cur_v : (d % 2 ? s_buffer_1 : s_buffer_2);
61         const CeedInt     writeLen = pre * post * Q;
62 
63         // Contract along middle index
64         for (CeedInt k = i; k < writeLen; k += blockDim.x) {
65           const CeedInt c  = k % post;
66           const CeedInt j  = (k / post) % Q;
67           const CeedInt a  = k / (post * Q);
68           CeedScalar    vk = 0;
69 
70           for (CeedInt b = 0; b < P; b++) vk += s_interp_1d[j * stride_0 + b * stride_1] * in[(a * P + b) * post + c];
71           out[k] = vk;
72         }
73         post *= Q;
74       }
75     }
76   }
77 }
78 
79 //------------------------------------------------------------------------------
80 // Grad
81 //------------------------------------------------------------------------------
82 extern "C" __global__ void Grad(const CeedInt num_elem, const CeedInt transpose, const CeedScalar *__restrict__ interp_1d,
83                                 const CeedScalar *__restrict__ grad_1d, const CeedScalar *__restrict__ u, CeedScalar *__restrict__ v) {
84   const CeedInt i = threadIdx.x;
85 
86   __shared__ CeedScalar s_mem[2 * (BASIS_Q_1D * BASIS_P_1D + BASIS_BUF_LEN)];
87   CeedScalar           *s_interp_1d = s_mem;
88   CeedScalar           *s_grad_1d   = s_interp_1d + BASIS_Q_1D * BASIS_P_1D;
89   CeedScalar           *s_buffer_1  = s_grad_1d + BASIS_Q_1D * BASIS_P_1D;
90   CeedScalar           *s_buffer_2  = s_buffer_1 + BASIS_BUF_LEN;
91   for (CeedInt k = i; k < BASIS_Q_1D * BASIS_P_1D; k += blockDim.x) {
92     s_interp_1d[k] = interp_1d[k];
93     s_grad_1d[k]   = grad_1d[k];
94   }
95 
96   const CeedInt P             = transpose ? BASIS_Q_1D : BASIS_P_1D;
97   const CeedInt Q             = transpose ? BASIS_P_1D : BASIS_Q_1D;
98   const CeedInt stride_0      = transpose ? 1 : BASIS_P_1D;
99   const CeedInt stride_1      = transpose ? BASIS_P_1D : 1;
100   const CeedInt u_stride      = transpose ? BASIS_NUM_QPTS : BASIS_NUM_NODES;
101   const CeedInt v_stride      = transpose ? BASIS_NUM_NODES : BASIS_NUM_QPTS;
102   const CeedInt u_comp_stride = num_elem * (transpose ? BASIS_NUM_QPTS : BASIS_NUM_NODES);
103   const CeedInt v_comp_stride = num_elem * (transpose ? BASIS_NUM_NODES : BASIS_NUM_QPTS);
104   const CeedInt u_dim_stride  = transpose ? num_elem * BASIS_NUM_QPTS * BASIS_NUM_COMP : 0;
105   const CeedInt v_dim_stride  = transpose ? 0 : num_elem * BASIS_NUM_QPTS * BASIS_NUM_COMP;
106 
107   // Apply basis element by element
108   for (CeedInt elem = blockIdx.x; elem < num_elem; elem += gridDim.x) {
109     for (CeedInt comp = 0; comp < BASIS_NUM_COMP; comp++) {
110       // dim*dim contractions for grad
111       for (CeedInt dim_1 = 0; dim_1 < BASIS_DIM; dim_1++) {
112         CeedInt           pre   = transpose ? BASIS_NUM_QPTS : BASIS_NUM_NODES;
113         CeedInt           post  = 1;
114         const CeedScalar *cur_u = u + elem * u_stride + dim_1 * u_dim_stride + comp * u_comp_stride;
115         CeedScalar       *cur_v = v + elem * v_stride + dim_1 * v_dim_stride + comp * v_comp_stride;
116 
117         for (CeedInt dim_2 = 0; dim_2 < BASIS_DIM; dim_2++) {
118           __syncthreads();
119           // Update buffers used
120           pre /= P;
121           const CeedScalar *op       = dim_1 == dim_2 ? s_grad_1d : s_interp_1d;
122           const CeedScalar *in       = dim_2 == 0 ? cur_u : (dim_2 % 2 ? s_buffer_2 : s_buffer_1);
123           CeedScalar       *out      = dim_2 == BASIS_DIM - 1 ? cur_v : (dim_2 % 2 ? s_buffer_1 : s_buffer_2);
124           const CeedInt     writeLen = pre * post * Q;
125 
126           // Contract along middle index
127           for (CeedInt k = i; k < writeLen; k += blockDim.x) {
128             const CeedInt c   = k % post;
129             const CeedInt j   = (k / post) % Q;
130             const CeedInt a   = k / (post * Q);
131             CeedScalar    v_k = 0;
132 
133             for (CeedInt b = 0; b < P; b++) v_k += op[j * stride_0 + b * stride_1] * in[(a * P + b) * post + c];
134             if (transpose && dim_2 == BASIS_DIM - 1) out[k] += v_k;
135             else out[k] = v_k;
136           }
137           post *= Q;
138         }
139       }
140     }
141   }
142 }
143 
144 //------------------------------------------------------------------------------
145 // 1D quadrature weights
146 //------------------------------------------------------------------------------
147 __device__ void Weight1d(const CeedInt num_elem, const CeedScalar *q_weight_1d, CeedScalar *w) {
148   const CeedInt i = threadIdx.x;
149 
150   if (i < BASIS_Q_1D) {
151     const size_t elem = blockIdx.x;
152 
153     if (elem < num_elem) w[elem * BASIS_Q_1D + i] = q_weight_1d[i];
154   }
155 }
156 
157 //------------------------------------------------------------------------------
158 // 2D quadrature weights
159 //------------------------------------------------------------------------------
160 __device__ void Weight2d(const CeedInt num_elem, const CeedScalar *q_weight_1d, CeedScalar *w) {
161   const CeedInt i = threadIdx.x;
162   const CeedInt j = threadIdx.y;
163 
164   if (i < BASIS_Q_1D && j < BASIS_Q_1D) {
165     const size_t elem = blockIdx.x;
166 
167     if (elem < num_elem) {
168       const size_t ind = (elem * BASIS_Q_1D + j) * BASIS_Q_1D + i;
169 
170       w[ind] = q_weight_1d[i] * q_weight_1d[j];
171     }
172   }
173 }
174 
175 //------------------------------------------------------------------------------
176 // 3D quadrature weights
177 //------------------------------------------------------------------------------
178 __device__ void Weight3d(const CeedInt num_elem, const CeedScalar *q_weight_1d, CeedScalar *w) {
179   const CeedInt i = threadIdx.x;
180   const CeedInt j = threadIdx.y;
181 
182   if (i < BASIS_Q_1D && j < BASIS_Q_1D) {
183     const size_t elem = blockIdx.x;
184 
185     if (elem < num_elem) {
186       for (CeedInt k = 0; k < BASIS_Q_1D; k++) {
187         const size_t ind = ((elem * BASIS_Q_1D + k) * BASIS_Q_1D + j) * BASIS_Q_1D + i;
188 
189         w[ind] = q_weight_1d[i] * q_weight_1d[j] * q_weight_1d[k];
190       }
191     }
192   }
193 }
194 
195 //------------------------------------------------------------------------------
196 // Quadrature weights
197 //------------------------------------------------------------------------------
198 extern "C" __global__ void Weight(const CeedInt num_elem, const CeedScalar *__restrict__ q_weight_1d, CeedScalar *__restrict__ v) {
199   if (BASIS_DIM == 1) Weight1d(num_elem, q_weight_1d, v);
200   else if (BASIS_DIM == 2) Weight2d(num_elem, q_weight_1d, v);
201   else if (BASIS_DIM == 3) Weight3d(num_elem, q_weight_1d, v);
202 }
203 
204 //------------------------------------------------------------------------------
205 
206 #endif  // CEED_HIP_REF_BASIS_TENSOR_H
207