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Extensible Simulation Package for Research on Soft Matter Systems
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AdvectiveFluxKernel_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 AdvectiveFluxKernel_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 007e77e077ad9d22b5eed6f3d3118240993e553c
21
22#include <cmath>
23
24#include "AdvectiveFluxKernel_double_precision.h"
25#include "core/DataTypes.h"
26#include "core/Macros.h"
27
28#define FUNC_PREFIX
29
30#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
31#pragma GCC diagnostic push
32#pragma GCC diagnostic ignored "-Wfloat-equal"
33#pragma GCC diagnostic ignored "-Wshadow"
34#pragma GCC diagnostic ignored "-Wconversion"
35#pragma GCC diagnostic ignored "-Wunused-variable"
36#endif
37
38#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
39#pragma warning push
40#pragma warning(disable : 1599)
41#endif
42
43using namespace std;
44
45namespace walberla {
46namespace pystencils {
47
48namespace internal_5255e1c780a944d646f270232511968b {
49static FUNC_PREFIX void advectivefluxkernel_double_precision_advectivefluxkernel_double_precision(double *RESTRICT const _data_j, double *RESTRICT const _data_rho, double *RESTRICT const _data_u, 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, int64_t const _stride_u_0, int64_t const _stride_u_1, int64_t const _stride_u_2, int64_t const _stride_u_3) {
50 for (int64_t ctr_2 = 0; ctr_2 < _size_j_2; ctr_2 += 1) {
51 for (int64_t ctr_1 = 0; ctr_1 < _size_j_1; ctr_1 += 1) {
52 for (int64_t ctr_0 = 1; ctr_0 < _size_j_0; ctr_0 += 1) {
53 if (ctr_1 > 0 && ctr_2 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
54 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2] = -(1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3])) * (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] - (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3])) * (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] > 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2];
55 }
56 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1 && ctr_2 < _size_j_2 - 1) {
57 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_3] = -(1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3])) * (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] - (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3])) * (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_3] > 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_3];
58 }
59 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1 && ctr_1 < _size_j_1 - 1) {
60 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 2 * _stride_j_3] = -(1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3])) * (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] - (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2 + _stride_u_3])) * (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] > 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 - _stride_rho_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 2 * _stride_j_3];
61 }
62 if (ctr_1 > 0 && ctr_2 > 0 && ctr_2 < _size_j_2 - 1) {
63 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 3 * _stride_j_3] = (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] < 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] - (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2] > 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 3 * _stride_j_3];
64 }
65 if (ctr_2 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
66 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 4 * _stride_j_3] = -(1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] + (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 4 * _stride_j_3];
67 }
68 if (ctr_1 > 0 && ctr_2 > 0 && ctr_1 < _size_j_1 - 1) {
69 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 5 * _stride_j_3] = (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] < 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] - (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2 + _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2] > 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 - _stride_rho_2] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 - _stride_u_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 5 * _stride_j_3];
70 }
71 if (ctr_1 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
72 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 6 * _stride_j_3] = -(1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] + (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_2 + _stride_u_3])) * ((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_2] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_2 + 2 * _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 + _stride_rho_2] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 6 * _stride_j_3];
73 }
74 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1) {
75 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 7 * _stride_j_3] = (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] < 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] - (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + _stride_u_3] > 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + _stride_u_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 7 * _stride_j_3];
76 }
77 if (ctr_1 > 0 && ctr_0 < _size_j_0 - 1 && ctr_2 < _size_j_2 - 1) {
78 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 8 * _stride_j_3] = -(1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] + (1.0 - fabs(_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2])) * ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + 2 * _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + _stride_u_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 8 * _stride_j_3];
79 }
80 if (ctr_1 > 0 && ctr_2 > 0) {
81 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 9 * _stride_j_3] = -((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2] > 0.0) ? (1.0) : (0.0)) * _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] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2] - ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] < 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] < 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 9 * _stride_j_3];
82 }
83 if (ctr_1 > 0 && ctr_2 < _size_j_2 - 1) {
84 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 10 * _stride_j_3] = ((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + 2 * _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _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] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 - _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2] + ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] < 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 10 * _stride_j_3];
85 }
86 if (ctr_2 > 0 && ctr_1 < _size_j_1 - 1) {
87 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 11 * _stride_j_3] = ((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _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] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 - _stride_u_2] + ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] < 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 11 * _stride_j_3];
88 }
89 if (ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
90 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 12 * _stride_j_3] = -((_data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2] > 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + 2 * _stride_u_3] < 0.0 && _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + _stride_u_3] < 0.0) ? (1.0) : (0.0)) * _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] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 - _stride_u_0 + _stride_u_1 * ctr_1 + _stride_u_1 + _stride_u_2 * ctr_2 + _stride_u_2] - ((_data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] > 0.0 && _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] < 0.0) ? (1.0) : (0.0)) * _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + 2 * _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2 + _stride_u_3] * _data_u[_stride_u_0 * ctr_0 + _stride_u_1 * ctr_1 + _stride_u_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 12 * _stride_j_3];
91 }
92 }
93 }
94 }
95}
96} // namespace internal_5255e1c780a944d646f270232511968b
97
98void AdvectiveFluxKernel_double_precision::run(IBlock *block) {
99
100 auto j = block->getData<field::GhostLayerField<double, 13>>(jID);
101 auto rho = block->getData<field::GhostLayerField<double, 1>>(rhoID);
102 auto u = block->getData<field::GhostLayerField<double, 3>>(uID);
103
104 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(j->nrOfGhostLayers()))
105 double *RESTRICT const _data_j = j->dataAt(-1, -1, -1, 0);
106 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(rho->nrOfGhostLayers()))
107 double *RESTRICT const _data_rho = rho->dataAt(-1, -1, -1, 0);
108 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(u->nrOfGhostLayers()))
109 double *RESTRICT const _data_u = u->dataAt(-1, -1, -1, 0);
110 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(j->xSize()) + 2))
111 const int64_t _size_j_0 = int64_t(int64_c(j->xSize()) + 2);
112 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(j->ySize()) + 2))
113 const int64_t _size_j_1 = int64_t(int64_c(j->ySize()) + 2);
114 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(j->zSize()) + 2))
115 const int64_t _size_j_2 = int64_t(int64_c(j->zSize()) + 2);
116 const int64_t _stride_j_0 = int64_t(j->xStride());
117 const int64_t _stride_j_1 = int64_t(j->yStride());
118 const int64_t _stride_j_2 = int64_t(j->zStride());
119 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
120 const int64_t _stride_rho_0 = int64_t(rho->xStride());
121 const int64_t _stride_rho_1 = int64_t(rho->yStride());
122 const int64_t _stride_rho_2 = int64_t(rho->zStride());
123 const int64_t _stride_u_0 = int64_t(u->xStride());
124 const int64_t _stride_u_1 = int64_t(u->yStride());
125 const int64_t _stride_u_2 = int64_t(u->zStride());
126 const int64_t _stride_u_3 = int64_t(1 * int64_t(u->fStride()));
127 internal_5255e1c780a944d646f270232511968b::advectivefluxkernel_double_precision_advectivefluxkernel_double_precision(_data_j, _data_rho, _data_u, _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, _stride_u_0, _stride_u_1, _stride_u_2, _stride_u_3);
128}
129
130void AdvectiveFluxKernel_double_precision::runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block) {
131
132 CellInterval ci = globalCellInterval;
133 CellInterval blockBB = blocks->getBlockCellBB(*block);
134 blockBB.expand(ghostLayers);
135 ci.intersect(blockBB);
136 blocks->transformGlobalToBlockLocalCellInterval(ci, *block);
137 if (ci.empty())
138 return;
139
140 auto j = block->getData<field::GhostLayerField<double, 13>>(jID);
141 auto rho = block->getData<field::GhostLayerField<double, 1>>(rhoID);
142 auto u = block->getData<field::GhostLayerField<double, 3>>(uID);
143
144 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(j->nrOfGhostLayers()))
145 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(j->nrOfGhostLayers()))
146 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(j->nrOfGhostLayers()))
147 double *RESTRICT const _data_j = j->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
148 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(rho->nrOfGhostLayers()))
149 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(rho->nrOfGhostLayers()))
150 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(rho->nrOfGhostLayers()))
151 double *RESTRICT const _data_rho = rho->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
152 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(u->nrOfGhostLayers()))
153 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(u->nrOfGhostLayers()))
154 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(u->nrOfGhostLayers()))
155 double *RESTRICT const _data_u = u->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
156 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(ci.xSize()) + 2))
157 const int64_t _size_j_0 = int64_t(int64_c(ci.xSize()) + 2);
158 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(ci.ySize()) + 2))
159 const int64_t _size_j_1 = int64_t(int64_c(ci.ySize()) + 2);
160 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(ci.zSize()) + 2))
161 const int64_t _size_j_2 = int64_t(int64_c(ci.zSize()) + 2);
162 const int64_t _stride_j_0 = int64_t(j->xStride());
163 const int64_t _stride_j_1 = int64_t(j->yStride());
164 const int64_t _stride_j_2 = int64_t(j->zStride());
165 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
166 const int64_t _stride_rho_0 = int64_t(rho->xStride());
167 const int64_t _stride_rho_1 = int64_t(rho->yStride());
168 const int64_t _stride_rho_2 = int64_t(rho->zStride());
169 const int64_t _stride_u_0 = int64_t(u->xStride());
170 const int64_t _stride_u_1 = int64_t(u->yStride());
171 const int64_t _stride_u_2 = int64_t(u->zStride());
172 const int64_t _stride_u_3 = int64_t(1 * int64_t(u->fStride()));
173 internal_5255e1c780a944d646f270232511968b::advectivefluxkernel_double_precision_advectivefluxkernel_double_precision(_data_j, _data_rho, _data_u, _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, _stride_u_0, _stride_u_1, _stride_u_2, _stride_u_3);
174}
175
176} // namespace pystencils
177} // namespace walberla
178
179#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
180#pragma GCC diagnostic pop
181#endif
182
183#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
184#pragma warning pop
185#endif
FUNC_PREFIX
#define FUNC_PREFIX
\file AdvectiveFluxKernel_double_precision.cpp \author pystencils
Definition AdvectiveFluxKernel_double_precision.cpp:28
AdvectiveFluxKernel_double_precision.h
RESTRICT
#define RESTRICT
\file AdvectiveFluxKernel_double_precision.h \author pystencils
Definition AdvectiveFluxKernel_double_precision.h:40
walberla::pystencils::AdvectiveFluxKernel_double_precision::run
void run(IBlock *block)
Definition AdvectiveFluxKernel_double_precision.cpp:98
walberla::pystencils::AdvectiveFluxKernel_double_precision::runOnCellInterval
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block)
Definition AdvectiveFluxKernel_double_precision.cpp:130
stream
cudaStream_t stream[1]
CUDA streams for parallel computing on CPU and GPU.
Definition common_cuda.cu:34
block
static double * block(double *p, std::size_t index, std::size_t size)
Definition elc.cpp:177
std
STL namespace.
walberla::pystencils::internal_5255e1c780a944d646f270232511968b::advectivefluxkernel_double_precision_advectivefluxkernel_double_precision
static FUNC_PREFIX void advectivefluxkernel_double_precision_advectivefluxkernel_double_precision(double *RESTRICT const _data_j, double *RESTRICT const _data_rho, double *RESTRICT const _data_u, 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, int64_t const _stride_u_0, int64_t const _stride_u_1, int64_t const _stride_u_2, int64_t const _stride_u_3)
Definition AdvectiveFluxKernel_double_precision.cpp:49
walberla
\file PackInfoPdfDoublePrecision.cpp \author pystencils
Definition EKWalberla.hpp:38