ESPResSo
Extensible Simulation Package for Research on Soft Matter Systems
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ReactionKernelBulk_1_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_1_single_precision.cpp
17//! \\author pystencils
18//======================================================================================================================
19
20// kernel generated with pystencils v1.3.3, lbmpy v1.3.3, lbmpy_walberla/pystencils_walberla from waLBerla commit b0842e1a493ce19ef1bbb8d2cf382fc343970a7f
21
22#include <cmath>
23
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_2510542a202e1c11a0d58a7e565459bb {
49static FUNC_PREFIX void reactionkernelbulk_1_single_precision_reactionkernelbulk_1_single_precision(float *RESTRICT _data_rho_0, 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, float order_0, float rate_coefficient, float stoech_0) {
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 rate_factor = rate_coefficient * powf(local_rho_0, order_0);
55 _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;
56 }
57 }
58 }
59}
60} // namespace internal_2510542a202e1c11a0d58a7e565459bb
61
63
64 auto rho_0 = block->getData<field::GhostLayerField<float, 1>>(rho_0ID);
65
66 auto &stoech_0 = this->stoech_0_;
67 auto &order_0 = this->order_0_;
68 auto &rate_coefficient = this->rate_coefficient_;
69 WALBERLA_ASSERT_GREATER_EQUAL(0, -int_c(rho_0->nrOfGhostLayers()))
70 float *RESTRICT _data_rho_0 = rho_0->dataAt(0, 0, 0, 0);
71 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->xSizeWithGhostLayer(), int64_t(int64_c(rho_0->xSize()) + 0))
72 const int64_t _size_rho_0_0 = int64_t(int64_c(rho_0->xSize()) + 0);
73 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->ySizeWithGhostLayer(), int64_t(int64_c(rho_0->ySize()) + 0))
74 const int64_t _size_rho_0_1 = int64_t(int64_c(rho_0->ySize()) + 0);
75 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->zSizeWithGhostLayer(), int64_t(int64_c(rho_0->zSize()) + 0))
76 const int64_t _size_rho_0_2 = int64_t(int64_c(rho_0->zSize()) + 0);
77 const int64_t _stride_rho_0_0 = int64_t(rho_0->xStride());
78 const int64_t _stride_rho_0_1 = int64_t(rho_0->yStride());
79 const int64_t _stride_rho_0_2 = int64_t(rho_0->zStride());
80 internal_2510542a202e1c11a0d58a7e565459bb::reactionkernelbulk_1_single_precision_reactionkernelbulk_1_single_precision(_data_rho_0, _size_rho_0_0, _size_rho_0_1, _size_rho_0_2, _stride_rho_0_0, _stride_rho_0_1, _stride_rho_0_2, order_0, rate_coefficient, stoech_0);
81}
82
83void ReactionKernelBulk_1_single_precision::runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block) {
84
85 CellInterval ci = globalCellInterval;
86 CellInterval blockBB = blocks->getBlockCellBB(*block);
87 blockBB.expand(ghostLayers);
88 ci.intersect(blockBB);
89 blocks->transformGlobalToBlockLocalCellInterval(ci, *block);
90 if (ci.empty())
91 return;
92
93 auto rho_0 = block->getData<field::GhostLayerField<float, 1>>(rho_0ID);
94
95 auto &stoech_0 = this->stoech_0_;
96 auto &order_0 = this->order_0_;
97 auto &rate_coefficient = this->rate_coefficient_;
98 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin(), -int_c(rho_0->nrOfGhostLayers()))
99 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin(), -int_c(rho_0->nrOfGhostLayers()))
100 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin(), -int_c(rho_0->nrOfGhostLayers()))
101 float *RESTRICT _data_rho_0 = rho_0->dataAt(ci.xMin(), ci.yMin(), ci.zMin(), 0);
102 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->xSizeWithGhostLayer(), int64_t(int64_c(ci.xSize()) + 0))
103 const int64_t _size_rho_0_0 = int64_t(int64_c(ci.xSize()) + 0);
104 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->ySizeWithGhostLayer(), int64_t(int64_c(ci.ySize()) + 0))
105 const int64_t _size_rho_0_1 = int64_t(int64_c(ci.ySize()) + 0);
106 WALBERLA_ASSERT_GREATER_EQUAL(rho_0->zSizeWithGhostLayer(), int64_t(int64_c(ci.zSize()) + 0))
107 const int64_t _size_rho_0_2 = int64_t(int64_c(ci.zSize()) + 0);
108 const int64_t _stride_rho_0_0 = int64_t(rho_0->xStride());
109 const int64_t _stride_rho_0_1 = int64_t(rho_0->yStride());
110 const int64_t _stride_rho_0_2 = int64_t(rho_0->zStride());
111 internal_2510542a202e1c11a0d58a7e565459bb::reactionkernelbulk_1_single_precision_reactionkernelbulk_1_single_precision(_data_rho_0, _size_rho_0_0, _size_rho_0_1, _size_rho_0_2, _stride_rho_0_0, _stride_rho_0_1, _stride_rho_0_2, order_0, rate_coefficient, stoech_0);
112}
113
114} // namespace pystencils
115} // namespace walberla
116
117#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
118#pragma GCC diagnostic pop
119#endif
120
121#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
122#pragma warning pop
123#endif
#define FUNC_PREFIX
\file AdvectiveFluxKernel_double_precision.cpp \author pystencils
#define RESTRICT
\file AdvectiveFluxKernel_double_precision.h \author pystencils
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block)
static double * block(double *p, std::size_t index, std::size_t size)
Definition elc.cpp:172
static FUNC_PREFIX void reactionkernelbulk_1_single_precision_reactionkernelbulk_1_single_precision(float *RESTRICT _data_rho_0, 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, float order_0, float rate_coefficient, float stoech_0)