ESPResSo
Extensible Simulation Package for Research on Soft Matter Systems
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ReactionKernelBulk_3_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 ReactionKernelBulk_3_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 "ReactionKernelBulk_3_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_d3ec035b42efecb474f5d17499de6537 {
49static FUNC_PREFIX void reactionkernelbulk_3_double_precision_reactionkernelbulk_3_double_precision(double *RESTRICT _data_rho_0, double *RESTRICT _data_rho_1, double *RESTRICT _data_rho_2, int64_t const _size_rho_0_0, int64_t const _size_rho_0_1, int64_t const _size_rho_0_2, int64_t const _stride_rho_0_0, int64_t const _stride_rho_0_1, int64_t const _stride_rho_0_2, int64_t const _stride_rho_1_0, int64_t const _stride_rho_1_1, int64_t const _stride_rho_1_2, int64_t const _stride_rho_2_0, int64_t const _stride_rho_2_1, int64_t const _stride_rho_2_2, double order_0, double order_1, double order_2, double rate_coefficient, double stoech_0, double stoech_1, double stoech_2) {
50 for (int64_t ctr_2 = 0; ctr_2 < _size_rho_0_2; ctr_2 += 1) {
51 for (int64_t ctr_1 = 0; ctr_1 < _size_rho_0_1; ctr_1 += 1) {
52 for (int64_t ctr_0 = 0; ctr_0 < _size_rho_0_0; ctr_0 += 1) {
53 const double local_rho_0 = _data_rho_0[_stride_rho_0_0 * ctr_0 + _stride_rho_0_1 * ctr_1 + _stride_rho_0_2 * ctr_2];
54 const double local_rho_1 = _data_rho_1[_stride_rho_1_0 * ctr_0 + _stride_rho_1_1 * ctr_1 + _stride_rho_1_2 * ctr_2];
55 const double local_rho_2 = _data_rho_2[_stride_rho_2_0 * ctr_0 + _stride_rho_2_1 * ctr_1 + _stride_rho_2_2 * ctr_2];
56 const double rate_factor = pow(local_rho_0, order_0) * pow(local_rho_1, order_1) * pow(local_rho_2, order_2) * rate_coefficient;
57 _data_rho_0[_stride_rho_0_0 * ctr_0 + _stride_rho_0_1 * ctr_1 + _stride_rho_0_2 * ctr_2] = local_rho_0 + rate_factor * stoech_0;
58 _data_rho_1[_stride_rho_1_0 * ctr_0 + _stride_rho_1_1 * ctr_1 + _stride_rho_1_2 * ctr_2] = local_rho_1 + rate_factor * stoech_1;
59 _data_rho_2[_stride_rho_2_0 * ctr_0 + _stride_rho_2_1 * ctr_1 + _stride_rho_2_2 * ctr_2] = local_rho_2 + rate_factor * stoech_2;
60 }
61 }
62 }
63}
64} // namespace internal_d3ec035b42efecb474f5d17499de6537
65
66void ReactionKernelBulk_3_double_precision::run(IBlock *block) {
67
68 auto rho_0 = block->getData<field::GhostLayerField<double, 1>>(rho_0ID);
69 auto rho_1 = block->getData<field::GhostLayerField<double, 1>>(rho_1ID);
70 auto rho_2 = block->getData<field::GhostLayerField<double, 1>>(rho_2ID);
71
72 auto &stoech_2 = this->stoech_2_;
73 auto &rate_coefficient = this->rate_coefficient_;
74 auto &stoech_1 = this->stoech_1_;
75 auto &order_0 = this->order_0_;
76 auto &stoech_0 = this->stoech_0_;
77 auto &order_2 = this->order_2_;
78 auto &order_1 = this->order_1_;
79 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_0->nrOfGhostLayers()))
80 double *RESTRICT _data_rho_0 = rho_0->dataAt(0, 0, 0, 0);
81 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_1->nrOfGhostLayers()))
82 double *RESTRICT _data_rho_1 = rho_1->dataAt(0, 0, 0, 0);
83 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_2->nrOfGhostLayers()))
84 double *RESTRICT _data_rho_2 = rho_2->dataAt(0, 0, 0, 0);
85 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->xSizeWithGhostLayer(), int64_t(int64_c(rho_0->xSize()) + 0))
86 const int64_t _size_rho_0_0 = int64_t(int64_c(rho_0->xSize()) + 0);
87 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->ySizeWithGhostLayer(), int64_t(int64_c(rho_0->ySize()) + 0))
88 const int64_t _size_rho_0_1 = int64_t(int64_c(rho_0->ySize()) + 0);
89 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->zSizeWithGhostLayer(), int64_t(int64_c(rho_0->zSize()) + 0))
90 const int64_t _size_rho_0_2 = int64_t(int64_c(rho_0->zSize()) + 0);
91 const int64_t _stride_rho_0_0 = int64_t(rho_0->xStride());
92 const int64_t _stride_rho_0_1 = int64_t(rho_0->yStride());
93 const int64_t _stride_rho_0_2 = int64_t(rho_0->zStride());
94 const int64_t _stride_rho_1_0 = int64_t(rho_1->xStride());
95 const int64_t _stride_rho_1_1 = int64_t(rho_1->yStride());
96 const int64_t _stride_rho_1_2 = int64_t(rho_1->zStride());
97 const int64_t _stride_rho_2_0 = int64_t(rho_2->xStride());
98 const int64_t _stride_rho_2_1 = int64_t(rho_2->yStride());
99 const int64_t _stride_rho_2_2 = int64_t(rho_2->zStride());
100 internal_d3ec035b42efecb474f5d17499de6537::reactionkernelbulk_3_double_precision_reactionkernelbulk_3_double_precision(_data_rho_0, _data_rho_1, _data_rho_2, _size_rho_0_0, _size_rho_0_1, _size_rho_0_2, _stride_rho_0_0, _stride_rho_0_1, _stride_rho_0_2, _stride_rho_1_0, _stride_rho_1_1, _stride_rho_1_2, _stride_rho_2_0, _stride_rho_2_1, _stride_rho_2_2, order_0, order_1, order_2, rate_coefficient, stoech_0, stoech_1, stoech_2);
101}
102
103void ReactionKernelBulk_3_double_precision::runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block) {
104
105 CellInterval ci = globalCellInterval;
106 CellInterval blockBB = blocks->getBlockCellBB(*block);
107 blockBB.expand(ghostLayers);
108 ci.intersect(blockBB);
109 blocks->transformGlobalToBlockLocalCellInterval(ci, *block);
110 if (ci.empty())
111 return;
112
113 auto rho_0 = block->getData<field::GhostLayerField<double, 1>>(rho_0ID);
114 auto rho_1 = block->getData<field::GhostLayerField<double, 1>>(rho_1ID);
115 auto rho_2 = block->getData<field::GhostLayerField<double, 1>>(rho_2ID);
116
117 auto &stoech_2 = this->stoech_2_;
118 auto &rate_coefficient = this->rate_coefficient_;
119 auto &stoech_1 = this->stoech_1_;
120 auto &order_0 = this->order_0_;
121 auto &stoech_0 = this->stoech_0_;
122 auto &order_2 = this->order_2_;
123 auto &order_1 = this->order_1_;
124 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_0->nrOfGhostLayers()))
125 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_0->nrOfGhostLayers()))
126 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_0->nrOfGhostLayers()))
127 double *RESTRICT _data_rho_0 = rho_0->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
128 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_1->nrOfGhostLayers()))
129 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_1->nrOfGhostLayers()))
130 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_1->nrOfGhostLayers()))
131 double *RESTRICT _data_rho_1 = rho_1->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
132 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_2->nrOfGhostLayers()))
133 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_2->nrOfGhostLayers()))
134 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_2->nrOfGhostLayers()))
135 double *RESTRICT _data_rho_2 = rho_2->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
136 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->xSizeWithGhostLayer(), int64_t(int64_c(ci.xSize()) + 0))
137 const int64_t _size_rho_0_0 = int64_t(int64_c(ci.xSize()) + 0);
138 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->ySizeWithGhostLayer(), int64_t(int64_c(ci.ySize()) + 0))
139 const int64_t _size_rho_0_1 = int64_t(int64_c(ci.ySize()) + 0);
140 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->zSizeWithGhostLayer(), int64_t(int64_c(ci.zSize()) + 0))
141 const int64_t _size_rho_0_2 = int64_t(int64_c(ci.zSize()) + 0);
142 const int64_t _stride_rho_0_0 = int64_t(rho_0->xStride());
143 const int64_t _stride_rho_0_1 = int64_t(rho_0->yStride());
144 const int64_t _stride_rho_0_2 = int64_t(rho_0->zStride());
145 const int64_t _stride_rho_1_0 = int64_t(rho_1->xStride());
146 const int64_t _stride_rho_1_1 = int64_t(rho_1->yStride());
147 const int64_t _stride_rho_1_2 = int64_t(rho_1->zStride());
148 const int64_t _stride_rho_2_0 = int64_t(rho_2->xStride());
149 const int64_t _stride_rho_2_1 = int64_t(rho_2->yStride());
150 const int64_t _stride_rho_2_2 = int64_t(rho_2->zStride());
151 internal_d3ec035b42efecb474f5d17499de6537::reactionkernelbulk_3_double_precision_reactionkernelbulk_3_double_precision(_data_rho_0, _data_rho_1, _data_rho_2, _size_rho_0_0, _size_rho_0_1, _size_rho_0_2, _stride_rho_0_0, _stride_rho_0_1, _stride_rho_0_2, _stride_rho_1_0, _stride_rho_1_1, _stride_rho_1_2, _stride_rho_2_0, _stride_rho_2_1, _stride_rho_2_2, order_0, order_1, order_2, rate_coefficient, stoech_0, stoech_1, stoech_2);
152}
153
154} // namespace pystencils
155} // namespace walberla
156
157#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
158#pragma GCC diagnostic pop
159#endif
160
161#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
162#pragma warning pop
163#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
ReactionKernelBulk_3_double_precision.h
walberla::pystencils::ReactionKernelBulk_3_double_precision::run
void run(IBlock *block)
Definition ReactionKernelBulk_3_double_precision.cpp:66
walberla::pystencils::ReactionKernelBulk_3_double_precision::runOnCellInterval
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block)
Definition ReactionKernelBulk_3_double_precision.cpp:103
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_d3ec035b42efecb474f5d17499de6537::reactionkernelbulk_3_double_precision_reactionkernelbulk_3_double_precision
static FUNC_PREFIX void reactionkernelbulk_3_double_precision_reactionkernelbulk_3_double_precision(double *RESTRICT _data_rho_0, double *RESTRICT _data_rho_1, double *RESTRICT _data_rho_2, int64_t const _size_rho_0_0, int64_t const _size_rho_0_1, int64_t const _size_rho_0_2, int64_t const _stride_rho_0_0, int64_t const _stride_rho_0_1, int64_t const _stride_rho_0_2, int64_t const _stride_rho_1_0, int64_t const _stride_rho_1_1, int64_t const _stride_rho_1_2, int64_t const _stride_rho_2_0, int64_t const _stride_rho_2_1, int64_t const _stride_rho_2_2, double order_0, double order_1, double order_2, double rate_coefficient, double stoech_0, double stoech_1, double stoech_2)
Definition ReactionKernelBulk_3_double_precision.cpp:49
walberla
\file PackInfoPdfDoublePrecision.cpp \author pystencils
Definition EKWalberla.hpp:38