ESPResSo
Extensible Simulation Package for Research on Soft Matter Systems
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DiffusiveFluxKernelThermalized_double_precision.cpp
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1//======================================================================================================================
2//
3// This file is part of waLBerla. waLBerla is free software: you can
4// redistribute it and/or modify it under the terms of the GNU General Public
5// License as published by the Free Software Foundation, either version 3 of
6// the License, or (at your option) any later version.
7//
8// waLBerla is distributed in the hope that it will be useful, but WITHOUT
9// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
10// FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
11// for more details.
12//
13// You should have received a copy of the GNU General Public License along
14// with waLBerla (see COPYING.txt). If not, see <http://www.gnu.org/licenses/>.
15//
16//! \\file DiffusiveFluxKernelThermalized_double_precision.cpp
17//! \\author pystencils
18//======================================================================================================================
19
20// kernel generated with pystencils v1.4+1.ge851f4e, lbmpy v1.4+1.ge9efe34, sympy v1.12.1, lbmpy_walberla/pystencils_walberla from waLBerla commit 3247aa7395049ca5bfb69d34d55e45db19fa439c
21
22#include <cmath>
23
24#include "DiffusiveFluxKernelThermalized_double_precision.h"
25#include "core/DataTypes.h"
26#include "core/Macros.h"
27
28#include "philox_rand.h"
29
30#define FUNC_PREFIX
31
32#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
33#pragma GCC diagnostic push
34#pragma GCC diagnostic ignored "-Wfloat-equal"
35#pragma GCC diagnostic ignored "-Wshadow"
36#pragma GCC diagnostic ignored "-Wconversion"
37#pragma GCC diagnostic ignored "-Wunused-variable"
38#endif
39
40#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
41#pragma warning push
42#pragma warning(disable : 1599)
43#endif
44
45using namespace std;
46
47namespace walberla {
48namespace pystencils {
49
50namespace internal_0f4fef9c62f0d4e3c1700727b32f958f {
51static FUNC_PREFIX void diffusivefluxkernelthermalized_double_precision_diffusivefluxkernelthermalized_double_precision(double D, double *RESTRICT const _data_j, double *RESTRICT const _data_rho, int64_t const _size_j_0, int64_t const _size_j_1, int64_t const _size_j_2, int64_t const _stride_j_0, int64_t const _stride_j_1, int64_t const _stride_j_2, int64_t const _stride_j_3, int64_t const _stride_rho_0, int64_t const _stride_rho_1, int64_t const _stride_rho_2, uint32_t block_offset_0, uint32_t block_offset_1, uint32_t block_offset_2, uint32_t field_size_0, uint32_t field_size_1, uint32_t field_size_2, uint32_t seed, uint32_t time_step) {
52#pragma omp parallel
53 {
54#pragma omp for schedule(static)
55 for (int64_t ctr_2 = 0; ctr_2 < _size_j_2; ctr_2 += 1) {
56 for (int64_t ctr_1 = 0; ctr_1 < _size_j_1; ctr_1 += 1) {
57 for (int64_t ctr_0 = 1; ctr_0 < _size_j_0; ctr_0 += 1) {
58 if (ctr_1 > 0 && ctr_2 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
59
60 double random_6_0;
61 double random_6_1;
62 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
63
64 double random_5_0;
65 double random_5_1;
66 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
67
68 double random_4_0;
69 double random_4_1;
70 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
71
72 double random_3_0;
73 double random_3_1;
74 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
75
76 double random_2_0;
77 double random_2_1;
78 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
79
80 double random_1_0;
81 double random_1_1;
82 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
83
84 double random_0_0;
85 double random_0_1;
86 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
87
88 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2]) * 0.16292407789368385 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2]), 0.5) * (random_0_0 - 0.5) * 1.977416969040271;
89 }
90 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1 && ctr_2 < _size_j_2 - 1) {
91
92 double random_6_0;
93 double random_6_1;
94 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
95
96 double random_5_0;
97 double random_5_1;
98 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
99
100 double random_4_0;
101 double random_4_1;
102 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
103
104 double random_3_0;
105 double random_3_1;
106 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
107
108 double random_2_0;
109 double random_2_1;
110 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
111
112 double random_1_0;
113 double random_1_1;
114 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
115
116 double random_0_0;
117 double random_0_1;
118 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
119
120 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2]) * 0.16292407789368385 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2]), 0.5) * (random_0_1 - 0.5) * 1.977416969040271;
121 }
122 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1 && ctr_1 < _size_j_1 - 1) {
123
124 double random_6_0;
125 double random_6_1;
126 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
127
128 double random_5_0;
129 double random_5_1;
130 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
131
132 double random_4_0;
133 double random_4_1;
134 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
135
136 double random_3_0;
137 double random_3_1;
138 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
139
140 double random_2_0;
141 double random_2_1;
142 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
143
144 double random_1_0;
145 double random_1_1;
146 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
147
148 double random_0_0;
149 double random_0_1;
150 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
151
152 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 2 * _stride_j_3] = D * (-_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 - _stride_rho_2] + _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2]) * 0.16292407789368385 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 - _stride_rho_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2]), 0.5) * (random_1_0 - 0.5) * 1.977416969040271;
153 }
154 if (ctr_1 > 0 && ctr_2 > 0 && ctr_2 < _size_j_2 - 1) {
155
156 double random_6_0;
157 double random_6_1;
158 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
159
160 double random_5_0;
161 double random_5_1;
162 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
163
164 double random_4_0;
165 double random_4_1;
166 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
167
168 double random_3_0;
169 double random_3_1;
170 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
171
172 double random_2_0;
173 double random_2_1;
174 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
175
176 double random_1_0;
177 double random_1_1;
178 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
179
180 double random_0_0;
181 double random_0_1;
182 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
183
184 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 3 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2]) * 0.11520472029718914 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2]), 0.5) * (random_1_1 - 0.5) * 1.6628028407278295;
185 }
186 if (ctr_2 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
187
188 double random_6_0;
189 double random_6_1;
190 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
191
192 double random_5_0;
193 double random_5_1;
194 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
195
196 double random_4_0;
197 double random_4_1;
198 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
199
200 double random_3_0;
201 double random_3_1;
202 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
203
204 double random_2_0;
205 double random_2_1;
206 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
207
208 double random_1_0;
209 double random_1_1;
210 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
211
212 double random_0_0;
213 double random_0_1;
214 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
215
216 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 4 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2]) * 0.11520472029718914 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2]), 0.5) * (random_2_0 - 0.5) * 1.6628028407278295;
217 }
218 if (ctr_1 > 0 && ctr_2 > 0 && ctr_1 < _size_j_1 - 1) {
219
220 double random_6_0;
221 double random_6_1;
222 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
223
224 double random_5_0;
225 double random_5_1;
226 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
227
228 double random_4_0;
229 double random_4_1;
230 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
231
232 double random_3_0;
233 double random_3_1;
234 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
235
236 double random_2_0;
237 double random_2_1;
238 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
239
240 double random_1_0;
241 double random_1_1;
242 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
243
244 double random_0_0;
245 double random_0_1;
246 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
247
248 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 5 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]) * 0.11520472029718914 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]), 0.5) * (random_2_1 - 0.5) * 1.6628028407278295;
249 }
250 if (ctr_1 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
251
252 double random_6_0;
253 double random_6_1;
254 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
255
256 double random_5_0;
257 double random_5_1;
258 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
259
260 double random_4_0;
261 double random_4_1;
262 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
263
264 double random_3_0;
265 double random_3_1;
266 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
267
268 double random_2_0;
269 double random_2_1;
270 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
271
272 double random_1_0;
273 double random_1_1;
274 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
275
276 double random_0_0;
277 double random_0_1;
278 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
279
280 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 6 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]) * 0.11520472029718914 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]), 0.5) * (random_3_0 - 0.5) * 1.6628028407278295;
281 }
282 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1) {
283
284 double random_6_0;
285 double random_6_1;
286 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
287
288 double random_5_0;
289 double random_5_1;
290 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
291
292 double random_4_0;
293 double random_4_1;
294 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
295
296 double random_3_0;
297 double random_3_1;
298 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
299
300 double random_2_0;
301 double random_2_1;
302 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
303
304 double random_1_0;
305 double random_1_1;
306 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
307
308 double random_0_0;
309 double random_0_1;
310 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
311
312 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 7 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]) * 0.11520472029718914 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]), 0.5) * (random_3_1 - 0.5) * 1.6628028407278295;
313 }
314 if (ctr_1 > 0 && ctr_0 < _size_j_0 - 1 && ctr_2 < _size_j_2 - 1) {
315
316 double random_6_0;
317 double random_6_1;
318 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
319
320 double random_5_0;
321 double random_5_1;
322 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
323
324 double random_4_0;
325 double random_4_1;
326 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
327
328 double random_3_0;
329 double random_3_1;
330 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
331
332 double random_2_0;
333 double random_2_1;
334 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
335
336 double random_1_0;
337 double random_1_1;
338 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
339
340 double random_0_0;
341 double random_0_1;
342 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
343
344 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 8 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]) * 0.11520472029718914 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]), 0.5) * (random_4_0 - 0.5) * 1.6628028407278295;
345 }
346 if (ctr_1 > 0 && ctr_2 > 0) {
347
348 double random_6_0;
349 double random_6_1;
350 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
351
352 double random_5_0;
353 double random_5_1;
354 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
355
356 double random_4_0;
357 double random_4_1;
358 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
359
360 double random_3_0;
361 double random_3_1;
362 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
363
364 double random_2_0;
365 double random_2_1;
366 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
367
368 double random_1_0;
369 double random_1_1;
370 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
371
372 double random_0_0;
373 double random_0_1;
374 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
375
376 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 9 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]) * 0.09406426022938992 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]), 0.5) * (random_4_1 - 0.5) * 1.5025119784898082;
377 }
378 if (ctr_1 > 0 && ctr_2 < _size_j_2 - 1) {
379
380 double random_6_0;
381 double random_6_1;
382 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
383
384 double random_5_0;
385 double random_5_1;
386 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
387
388 double random_4_0;
389 double random_4_1;
390 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
391
392 double random_3_0;
393 double random_3_1;
394 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
395
396 double random_2_0;
397 double random_2_1;
398 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
399
400 double random_1_0;
401 double random_1_1;
402 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
403
404 double random_0_0;
405 double random_0_1;
406 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
407
408 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 10 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]) * 0.09406426022938992 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]), 0.5) * (random_5_0 - 0.5) * 1.5025119784898082;
409 }
410 if (ctr_2 > 0 && ctr_1 < _size_j_1 - 1) {
411
412 double random_6_0;
413 double random_6_1;
414 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
415
416 double random_5_0;
417 double random_5_1;
418 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
419
420 double random_4_0;
421 double random_4_1;
422 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
423
424 double random_3_0;
425 double random_3_1;
426 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
427
428 double random_2_0;
429 double random_2_1;
430 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
431
432 double random_1_0;
433 double random_1_1;
434 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
435
436 double random_0_0;
437 double random_0_1;
438 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
439
440 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 11 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]) * 0.09406426022938992 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]), 0.5) * (random_5_1 - 0.5) * 1.5025119784898082;
441 }
442 if (ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
443
444 double random_6_0;
445 double random_6_1;
446 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 6, seed, random_6_0, random_6_1);
447
448 double random_5_0;
449 double random_5_1;
450 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 5, seed, random_5_0, random_5_1);
451
452 double random_4_0;
453 double random_4_1;
454 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 4, seed, random_4_0, random_4_1);
455
456 double random_3_0;
457 double random_3_1;
458 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 3, seed, random_3_0, random_3_1);
459
460 double random_2_0;
461 double random_2_1;
462 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 2, seed, random_2_0, random_2_1);
463
464 double random_1_0;
465 double random_1_1;
466 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 1, seed, random_1_0, random_1_1);
467
468 double random_0_0;
469 double random_0_1;
470 philox_double2(time_step, (block_offset_0 + ctr_0) % field_size_0, (block_offset_1 + ctr_1) % field_size_1, (block_offset_2 + ctr_2) % field_size_2, 0, seed, random_0_0, random_0_1);
471
472 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 12 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]) * 0.09406426022938992 + pow(D * (0.5 * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] + 0.5 * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]), 0.5) * (random_6_0 - 0.5) * 1.5025119784898082;
473 }
474 }
475 }
476 }
477 }
478}
479} // namespace internal_0f4fef9c62f0d4e3c1700727b32f958f
480
481void DiffusiveFluxKernelThermalized_double_precision::run(IBlock *block) {
482 if (!this->configured_)
483 WALBERLA_ABORT("This Sweep contains a configure function that needs to be called manually")
484
485 auto j = block->getData<field::GhostLayerField<double, 13>>(jID);
486 auto rho = block->getData<field::GhostLayerField<double, 1>>(rhoID);
487
488 auto &block_offset_0 = this->block_offset_0_;
489 auto &seed = this->seed_;
490 auto &block_offset_1 = this->block_offset_1_;
491 auto &field_size_0 = this->field_size_0_;
492 auto &D = this->D_;
493 auto &block_offset_2 = this->block_offset_2_;
494 auto &time_step = this->time_step_;
495 auto &field_size_2 = this->field_size_2_;
496 auto &field_size_1 = this->field_size_1_;
497 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(j->nrOfGhostLayers()))
498 double *RESTRICT const _data_j = j->dataAt(-1, -1, -1, 0);
499 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(rho->nrOfGhostLayers()))
500 double *RESTRICT const _data_rho = rho->dataAt(-1, -1, -1, 0);
501 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(j->xSize()) + 2))
502 const int64_t _size_j_0 = int64_t(int64_c(j->xSize()) + 2);
503 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(j->ySize()) + 2))
504 const int64_t _size_j_1 = int64_t(int64_c(j->ySize()) + 2);
505 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(j->zSize()) + 2))
506 const int64_t _size_j_2 = int64_t(int64_c(j->zSize()) + 2);
507 const int64_t _stride_j_0 = int64_t(j->xStride());
508 const int64_t _stride_j_1 = int64_t(j->yStride());
509 const int64_t _stride_j_2 = int64_t(j->zStride());
510 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
511 const int64_t _stride_rho_0 = int64_t(rho->xStride());
512 const int64_t _stride_rho_1 = int64_t(rho->yStride());
513 const int64_t _stride_rho_2 = int64_t(rho->zStride());
514 internal_0f4fef9c62f0d4e3c1700727b32f958f::diffusivefluxkernelthermalized_double_precision_diffusivefluxkernelthermalized_double_precision(D, _data_j, _data_rho, _size_j_0, _size_j_1, _size_j_2, _stride_j_0, _stride_j_1, _stride_j_2, _stride_j_3, _stride_rho_0, _stride_rho_1, _stride_rho_2, block_offset_0, block_offset_1, block_offset_2, field_size_0, field_size_1, field_size_2, seed, time_step);
515}
516
517void DiffusiveFluxKernelThermalized_double_precision::runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block) {
518 if (!this->configured_)
519 WALBERLA_ABORT("This Sweep contains a configure function that needs to be called manually")
520
521 CellInterval ci = globalCellInterval;
522 CellInterval blockBB = blocks->getBlockCellBB(*block);
523 blockBB.expand(ghostLayers);
524 ci.intersect(blockBB);
525 blocks->transformGlobalToBlockLocalCellInterval(ci, *block);
526 if (ci.empty())
527 return;
528
529 auto j = block->getData<field::GhostLayerField<double, 13>>(jID);
530 auto rho = block->getData<field::GhostLayerField<double, 1>>(rhoID);
531
532 auto &block_offset_0 = this->block_offset_0_;
533 auto &seed = this->seed_;
534 auto &block_offset_1 = this->block_offset_1_;
535 auto &field_size_0 = this->field_size_0_;
536 auto &D = this->D_;
537 auto &block_offset_2 = this->block_offset_2_;
538 auto &time_step = this->time_step_;
539 auto &field_size_2 = this->field_size_2_;
540 auto &field_size_1 = this->field_size_1_;
541 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(j->nrOfGhostLayers()))
542 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(j->nrOfGhostLayers()))
543 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(j->nrOfGhostLayers()))
544 double *RESTRICT const _data_j = j->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
545 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(rho->nrOfGhostLayers()))
546 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(rho->nrOfGhostLayers()))
547 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(rho->nrOfGhostLayers()))
548 double *RESTRICT const _data_rho = rho->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
549 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(ci.xSize()) + 2))
550 const int64_t _size_j_0 = int64_t(int64_c(ci.xSize()) + 2);
551 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(ci.ySize()) + 2))
552 const int64_t _size_j_1 = int64_t(int64_c(ci.ySize()) + 2);
553 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(ci.zSize()) + 2))
554 const int64_t _size_j_2 = int64_t(int64_c(ci.zSize()) + 2);
555 const int64_t _stride_j_0 = int64_t(j->xStride());
556 const int64_t _stride_j_1 = int64_t(j->yStride());
557 const int64_t _stride_j_2 = int64_t(j->zStride());
558 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
559 const int64_t _stride_rho_0 = int64_t(rho->xStride());
560 const int64_t _stride_rho_1 = int64_t(rho->yStride());
561 const int64_t _stride_rho_2 = int64_t(rho->zStride());
562 internal_0f4fef9c62f0d4e3c1700727b32f958f::diffusivefluxkernelthermalized_double_precision_diffusivefluxkernelthermalized_double_precision(D, _data_j, _data_rho, _size_j_0, _size_j_1, _size_j_2, _stride_j_0, _stride_j_1, _stride_j_2, _stride_j_3, _stride_rho_0, _stride_rho_1, _stride_rho_2, block_offset_0, block_offset_1, block_offset_2, field_size_0, field_size_1, field_size_2, seed, time_step);
563}
564
565} // namespace pystencils
566} // namespace walberla
567
568#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
569#pragma GCC diagnostic pop
570#endif
571
572#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
573#pragma warning pop
574#endif
FUNC_PREFIX
#define FUNC_PREFIX
\file AdvectiveFluxKernel_double_precision.cpp \author pystencils
Definition AdvectiveFluxKernel_double_precision.cpp:28
RESTRICT
#define RESTRICT
\file AdvectiveFluxKernel_double_precision.h \author pystencils
Definition AdvectiveFluxKernel_double_precision.h:40
DiffusiveFluxKernelThermalized_double_precision.h
walberla::pystencils::DiffusiveFluxKernelThermalized_double_precision::run
void run(IBlock *block)
Definition DiffusiveFluxKernelThermalized_double_precision.cpp:481
walberla::pystencils::DiffusiveFluxKernelThermalized_double_precision::runOnCellInterval
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block)
Definition DiffusiveFluxKernelThermalized_double_precision.cpp:517
block
static double * block(double *p, std::size_t index, std::size_t size)
Definition elc.cpp:175
philox_double2
QUALIFIERS void philox_double2(uint32 ctr0, uint32 ctr1, uint32 ctr2, uint32 ctr3, uint32 key0, uint32 key1, double &rnd1, double &rnd2)
Definition electrokinetics/generated_kernels/philox_rand.h:179
philox_rand.h
Philox counter-based RNG from .
std
STL namespace.
walberla::pystencils::internal_0f4fef9c62f0d4e3c1700727b32f958f::diffusivefluxkernelthermalized_double_precision_diffusivefluxkernelthermalized_double_precision
static FUNC_PREFIX void diffusivefluxkernelthermalized_double_precision_diffusivefluxkernelthermalized_double_precision(double D, double *RESTRICT const _data_j, double *RESTRICT const _data_rho, int64_t const _size_j_0, int64_t const _size_j_1, int64_t const _size_j_2, int64_t const _stride_j_0, int64_t const _stride_j_1, int64_t const _stride_j_2, int64_t const _stride_j_3, int64_t const _stride_rho_0, int64_t const _stride_rho_1, int64_t const _stride_rho_2, uint32_t block_offset_0, uint32_t block_offset_1, uint32_t block_offset_2, uint32_t field_size_0, uint32_t field_size_1, uint32_t field_size_2, uint32_t seed, uint32_t time_step)
Definition DiffusiveFluxKernelThermalized_double_precision.cpp:51
walberla
\file PackInfoPdfDoublePrecision.cpp \author pystencils
Definition EKWalberla.hpp:38