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Extensible Simulation Package for Research on Soft Matter Systems
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ReactionKernelBulk_5_single_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_5_single_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_5_single_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_737d6904f7c65dcfc320d619f189641b {
49static FUNC_PREFIX void reactionkernelbulk_5_single_precision_reactionkernelbulk_5_single_precision(float *RESTRICT _data_rho_0, float *RESTRICT _data_rho_1, float *RESTRICT _data_rho_2, float *RESTRICT _data_rho_3, float *RESTRICT _data_rho_4, 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, int64_t const _stride_rho_3_0, int64_t const _stride_rho_3_1, int64_t const _stride_rho_3_2, int64_t const _stride_rho_4_0, int64_t const _stride_rho_4_1, int64_t const _stride_rho_4_2, float order_0, float order_1, float order_2, float order_3, float order_4, float rate_coefficient, float stoech_0, float stoech_1, float stoech_2, float stoech_3, float stoech_4) {
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 float 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 float 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 float 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 float local_rho_3 = _data_rho_3[_stride_rho_3_0 * ctr_0 + _stride_rho_3_1 * ctr_1 + _stride_rho_3_2 * ctr_2];
57 const float local_rho_4 = _data_rho_4[_stride_rho_4_0 * ctr_0 + _stride_rho_4_1 * ctr_1 + _stride_rho_4_2 * ctr_2];
58 const float rate_factor = rate_coefficient * powf(local_rho_0, order_0) * powf(local_rho_1, order_1) * powf(local_rho_2, order_2) * powf(local_rho_3, order_3) * powf(local_rho_4, order_4);
59 _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;
60 _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;
61 _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;
62 _data_rho_3[_stride_rho_3_0 * ctr_0 + _stride_rho_3_1 * ctr_1 + _stride_rho_3_2 * ctr_2] = local_rho_3 + rate_factor * stoech_3;
63 _data_rho_4[_stride_rho_4_0 * ctr_0 + _stride_rho_4_1 * ctr_1 + _stride_rho_4_2 * ctr_2] = local_rho_4 + rate_factor * stoech_4;
64 }
65 }
66 }
67}
68} // namespace internal_737d6904f7c65dcfc320d619f189641b
69
70void ReactionKernelBulk_5_single_precision::run(IBlock *block) {
71
72 auto rho_1 = block->getData<field::GhostLayerField<float, 1>>(rho_1ID);
73 auto rho_4 = block->getData<field::GhostLayerField<float, 1>>(rho_4ID);
74 auto rho_0 = block->getData<field::GhostLayerField<float, 1>>(rho_0ID);
75 auto rho_3 = block->getData<field::GhostLayerField<float, 1>>(rho_3ID);
76 auto rho_2 = block->getData<field::GhostLayerField<float, 1>>(rho_2ID);
77
78 auto &stoech_0 = this->stoech_0_;
79 auto &order_4 = this->order_4_;
80 auto &stoech_4 = this->stoech_4_;
81 auto &order_3 = this->order_3_;
82 auto &stoech_2 = this->stoech_2_;
83 auto &stoech_3 = this->stoech_3_;
84 auto &order_2 = this->order_2_;
85 auto &rate_coefficient = this->rate_coefficient_;
86 auto &order_0 = this->order_0_;
87 auto &order_1 = this->order_1_;
88 auto &stoech_1 = this->stoech_1_;
89 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_0->nrOfGhostLayers()))
90 float *RESTRICT _data_rho_0 = rho_0->dataAt(0, 0, 0, 0);
91 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_1->nrOfGhostLayers()))
92 float *RESTRICT _data_rho_1 = rho_1->dataAt(0, 0, 0, 0);
93 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_2->nrOfGhostLayers()))
94 float *RESTRICT _data_rho_2 = rho_2->dataAt(0, 0, 0, 0);
95 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_3->nrOfGhostLayers()))
96 float *RESTRICT _data_rho_3 = rho_3->dataAt(0, 0, 0, 0);
97 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_4->nrOfGhostLayers()))
98 float *RESTRICT _data_rho_4 = rho_4->dataAt(0, 0, 0, 0);
99 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->xSizeWithGhostLayer(), int64_t(int64_c(rho_0->xSize()) + 0))
100 const int64_t _size_rho_0_0 = int64_t(int64_c(rho_0->xSize()) + 0);
101 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->ySizeWithGhostLayer(), int64_t(int64_c(rho_0->ySize()) + 0))
102 const int64_t _size_rho_0_1 = int64_t(int64_c(rho_0->ySize()) + 0);
103 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->zSizeWithGhostLayer(), int64_t(int64_c(rho_0->zSize()) + 0))
104 const int64_t _size_rho_0_2 = int64_t(int64_c(rho_0->zSize()) + 0);
105 const int64_t _stride_rho_0_0 = int64_t(rho_0->xStride());
106 const int64_t _stride_rho_0_1 = int64_t(rho_0->yStride());
107 const int64_t _stride_rho_0_2 = int64_t(rho_0->zStride());
108 const int64_t _stride_rho_1_0 = int64_t(rho_1->xStride());
109 const int64_t _stride_rho_1_1 = int64_t(rho_1->yStride());
110 const int64_t _stride_rho_1_2 = int64_t(rho_1->zStride());
111 const int64_t _stride_rho_2_0 = int64_t(rho_2->xStride());
112 const int64_t _stride_rho_2_1 = int64_t(rho_2->yStride());
113 const int64_t _stride_rho_2_2 = int64_t(rho_2->zStride());
114 const int64_t _stride_rho_3_0 = int64_t(rho_3->xStride());
115 const int64_t _stride_rho_3_1 = int64_t(rho_3->yStride());
116 const int64_t _stride_rho_3_2 = int64_t(rho_3->zStride());
117 const int64_t _stride_rho_4_0 = int64_t(rho_4->xStride());
118 const int64_t _stride_rho_4_1 = int64_t(rho_4->yStride());
119 const int64_t _stride_rho_4_2 = int64_t(rho_4->zStride());
120 internal_737d6904f7c65dcfc320d619f189641b::reactionkernelbulk_5_single_precision_reactionkernelbulk_5_single_precision(_data_rho_0, _data_rho_1, _data_rho_2, _data_rho_3, _data_rho_4, _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, _stride_rho_3_0, _stride_rho_3_1, _stride_rho_3_2, _stride_rho_4_0, _stride_rho_4_1, _stride_rho_4_2, order_0, order_1, order_2, order_3, order_4, rate_coefficient, stoech_0, stoech_1, stoech_2, stoech_3, stoech_4);
121}
122
123void ReactionKernelBulk_5_single_precision::runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block) {
124
125 CellInterval ci = globalCellInterval;
126 CellInterval blockBB = blocks->getBlockCellBB(*block);
127 blockBB.expand(ghostLayers);
128 ci.intersect(blockBB);
129 blocks->transformGlobalToBlockLocalCellInterval(ci, *block);
130 if (ci.empty())
131 return;
132
133 auto rho_1 = block->getData<field::GhostLayerField<float, 1>>(rho_1ID);
134 auto rho_4 = block->getData<field::GhostLayerField<float, 1>>(rho_4ID);
135 auto rho_0 = block->getData<field::GhostLayerField<float, 1>>(rho_0ID);
136 auto rho_3 = block->getData<field::GhostLayerField<float, 1>>(rho_3ID);
137 auto rho_2 = block->getData<field::GhostLayerField<float, 1>>(rho_2ID);
138
139 auto &stoech_0 = this->stoech_0_;
140 auto &order_4 = this->order_4_;
141 auto &stoech_4 = this->stoech_4_;
142 auto &order_3 = this->order_3_;
143 auto &stoech_2 = this->stoech_2_;
144 auto &stoech_3 = this->stoech_3_;
145 auto &order_2 = this->order_2_;
146 auto &rate_coefficient = this->rate_coefficient_;
147 auto &order_0 = this->order_0_;
148 auto &order_1 = this->order_1_;
149 auto &stoech_1 = this->stoech_1_;
150 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_0->nrOfGhostLayers()))
151 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_0->nrOfGhostLayers()))
152 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_0->nrOfGhostLayers()))
153 float *RESTRICT _data_rho_0 = rho_0->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
154 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_1->nrOfGhostLayers()))
155 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_1->nrOfGhostLayers()))
156 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_1->nrOfGhostLayers()))
157 float *RESTRICT _data_rho_1 = rho_1->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
158 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_2->nrOfGhostLayers()))
159 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_2->nrOfGhostLayers()))
160 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_2->nrOfGhostLayers()))
161 float *RESTRICT _data_rho_2 = rho_2->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
162 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_3->nrOfGhostLayers()))
163 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_3->nrOfGhostLayers()))
164 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_3->nrOfGhostLayers()))
165 float *RESTRICT _data_rho_3 = rho_3->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
166 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_4->nrOfGhostLayers()))
167 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_4->nrOfGhostLayers()))
168 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_4->nrOfGhostLayers()))
169 float *RESTRICT _data_rho_4 = rho_4->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
170 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->xSizeWithGhostLayer(), int64_t(int64_c(ci.xSize()) + 0))
171 const int64_t _size_rho_0_0 = int64_t(int64_c(ci.xSize()) + 0);
172 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->ySizeWithGhostLayer(), int64_t(int64_c(ci.ySize()) + 0))
173 const int64_t _size_rho_0_1 = int64_t(int64_c(ci.ySize()) + 0);
174 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->zSizeWithGhostLayer(), int64_t(int64_c(ci.zSize()) + 0))
175 const int64_t _size_rho_0_2 = int64_t(int64_c(ci.zSize()) + 0);
176 const int64_t _stride_rho_0_0 = int64_t(rho_0->xStride());
177 const int64_t _stride_rho_0_1 = int64_t(rho_0->yStride());
178 const int64_t _stride_rho_0_2 = int64_t(rho_0->zStride());
179 const int64_t _stride_rho_1_0 = int64_t(rho_1->xStride());
180 const int64_t _stride_rho_1_1 = int64_t(rho_1->yStride());
181 const int64_t _stride_rho_1_2 = int64_t(rho_1->zStride());
182 const int64_t _stride_rho_2_0 = int64_t(rho_2->xStride());
183 const int64_t _stride_rho_2_1 = int64_t(rho_2->yStride());
184 const int64_t _stride_rho_2_2 = int64_t(rho_2->zStride());
185 const int64_t _stride_rho_3_0 = int64_t(rho_3->xStride());
186 const int64_t _stride_rho_3_1 = int64_t(rho_3->yStride());
187 const int64_t _stride_rho_3_2 = int64_t(rho_3->zStride());
188 const int64_t _stride_rho_4_0 = int64_t(rho_4->xStride());
189 const int64_t _stride_rho_4_1 = int64_t(rho_4->yStride());
190 const int64_t _stride_rho_4_2 = int64_t(rho_4->zStride());
191 internal_737d6904f7c65dcfc320d619f189641b::reactionkernelbulk_5_single_precision_reactionkernelbulk_5_single_precision(_data_rho_0, _data_rho_1, _data_rho_2, _data_rho_3, _data_rho_4, _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, _stride_rho_3_0, _stride_rho_3_1, _stride_rho_3_2, _stride_rho_4_0, _stride_rho_4_1, _stride_rho_4_2, order_0, order_1, order_2, order_3, order_4, rate_coefficient, stoech_0, stoech_1, stoech_2, stoech_3, stoech_4);
192}
193
194} // namespace pystencils
195} // namespace walberla
196
197#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
198#pragma GCC diagnostic pop
199#endif
200
201#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
202#pragma warning pop
203#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_5_single_precision.h
walberla::pystencils::ReactionKernelBulk_5_single_precision::runOnCellInterval
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block)
Definition ReactionKernelBulk_5_single_precision.cpp:123
walberla::pystencils::ReactionKernelBulk_5_single_precision::run
void run(IBlock *block)
Definition ReactionKernelBulk_5_single_precision.cpp:70
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_737d6904f7c65dcfc320d619f189641b::reactionkernelbulk_5_single_precision_reactionkernelbulk_5_single_precision
static FUNC_PREFIX void reactionkernelbulk_5_single_precision_reactionkernelbulk_5_single_precision(float *RESTRICT _data_rho_0, float *RESTRICT _data_rho_1, float *RESTRICT _data_rho_2, float *RESTRICT _data_rho_3, float *RESTRICT _data_rho_4, 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, int64_t const _stride_rho_3_0, int64_t const _stride_rho_3_1, int64_t const _stride_rho_3_2, int64_t const _stride_rho_4_0, int64_t const _stride_rho_4_1, int64_t const _stride_rho_4_2, float order_0, float order_1, float order_2, float order_3, float order_4, float rate_coefficient, float stoech_0, float stoech_1, float stoech_2, float stoech_3, float stoech_4)
Definition ReactionKernelBulk_5_single_precision.cpp:49
walberla
\file PackInfoPdfDoublePrecision.cpp \author pystencils
Definition EKWalberla.hpp:38