ESPResSo
Extensible Simulation Package for Research on Soft Matter Systems
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ContinuityKernel_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 ContinuityKernel_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 3247aa7395049ca5bfb69d34d55e45db19fa439c
21
22#include <cmath>
23
24#include "ContinuityKernel_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_990034b4e4dd57d2802b4bcb5f716e46 {
49static FUNC_PREFIX void continuitykernel_single_precision_continuitykernel_single_precision(float *RESTRICT const _data_j, float *RESTRICT _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) {
50#pragma omp parallel
51 {
52#pragma omp for schedule(static)
53 for (int64_t ctr_2 = 1; ctr_2 < _size_j_2 - 1; ctr_2 += 1) {
54 for (int64_t ctr_1 = 1; ctr_1 < _size_j_1 - 1; ctr_1 += 1) {
55 for (int64_t ctr_0 = 1; ctr_0 < _size_j_0 - 1; ctr_0 += 1) {
56 _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] = _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 + 3 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 9 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 - _stride_j_2 + 10 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 5 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 - _stride_j_2 + 6 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 - _stride_j_1 + _stride_j_2 * ctr_2 + 4 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 - _stride_j_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 11 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 - _stride_j_1 + _stride_j_2 * ctr_2 - _stride_j_2 + 12 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 7 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 + _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 - _stride_j_2 + 8 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 10 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 11 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 12 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 2 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 3 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 4 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 5 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 6 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 7 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 8 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 9 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 2 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2] + _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2];
57 }
58 }
59 }
60 }
61}
62} // namespace internal_990034b4e4dd57d2802b4bcb5f716e46
63
64void ContinuityKernel_single_precision::run(IBlock *block) {
65
66 auto j = block->getData<field::GhostLayerField<float, 13>>(jID);
67 auto rho = block->getData<field::GhostLayerField<float, 1>>(rhoID);
68
69 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(j->nrOfGhostLayers()))
70 float *RESTRICT const _data_j = j->dataAt(-1, -1, -1, 0);
71 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(rho->nrOfGhostLayers()))
72 float *RESTRICT _data_rho = rho->dataAt(-1, -1, -1, 0);
73 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(j->xSize()) + 2))
74 const int64_t _size_j_0 = int64_t(int64_c(j->xSize()) + 2);
75 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(j->ySize()) + 2))
76 const int64_t _size_j_1 = int64_t(int64_c(j->ySize()) + 2);
77 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(j->zSize()) + 2))
78 const int64_t _size_j_2 = int64_t(int64_c(j->zSize()) + 2);
79 const int64_t _stride_j_0 = int64_t(j->xStride());
80 const int64_t _stride_j_1 = int64_t(j->yStride());
81 const int64_t _stride_j_2 = int64_t(j->zStride());
82 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
83 const int64_t _stride_rho_0 = int64_t(rho->xStride());
84 const int64_t _stride_rho_1 = int64_t(rho->yStride());
85 const int64_t _stride_rho_2 = int64_t(rho->zStride());
86 internal_990034b4e4dd57d2802b4bcb5f716e46::continuitykernel_single_precision_continuitykernel_single_precision(_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);
87}
88
89void ContinuityKernel_single_precision::runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block) {
90
91 CellInterval ci = globalCellInterval;
92 CellInterval blockBB = blocks->getBlockCellBB(*block);
93 blockBB.expand(ghostLayers);
94 ci.intersect(blockBB);
95 blocks->transformGlobalToBlockLocalCellInterval(ci, *block);
96 if (ci.empty())
97 return;
98
99 auto j = block->getData<field::GhostLayerField<float, 13>>(jID);
100 auto rho = block->getData<field::GhostLayerField<float, 1>>(rhoID);
101
102 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(j->nrOfGhostLayers()))
103 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(j->nrOfGhostLayers()))
104 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(j->nrOfGhostLayers()))
105 float *RESTRICT const _data_j = j->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
106 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(rho->nrOfGhostLayers()))
107 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(rho->nrOfGhostLayers()))
108 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(rho->nrOfGhostLayers()))
109 float *RESTRICT _data_rho = rho->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
110 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(ci.xSize()) + 2))
111 const int64_t _size_j_0 = int64_t(int64_c(ci.xSize()) + 2);
112 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(ci.ySize()) + 2))
113 const int64_t _size_j_1 = int64_t(int64_c(ci.ySize()) + 2);
114 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(ci.zSize()) + 2))
115 const int64_t _size_j_2 = int64_t(int64_c(ci.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 internal_990034b4e4dd57d2802b4bcb5f716e46::continuitykernel_single_precision_continuitykernel_single_precision(_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);
124}
125
126} // namespace pystencils
127} // namespace walberla
128
129#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
130#pragma GCC diagnostic pop
131#endif
132
133#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
134#pragma warning pop
135#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
ContinuityKernel_single_precision.h
walberla::pystencils::ContinuityKernel_single_precision::runOnCellInterval
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block)
Definition ContinuityKernel_single_precision.cpp:89
walberla::pystencils::ContinuityKernel_single_precision::run
void run(IBlock *block)
Definition ContinuityKernel_single_precision.cpp:64
block
static double * block(double *p, std::size_t index, std::size_t size)
Definition elc.cpp:175
std
STL namespace.
walberla::pystencils::internal_990034b4e4dd57d2802b4bcb5f716e46::continuitykernel_single_precision_continuitykernel_single_precision
static FUNC_PREFIX void continuitykernel_single_precision_continuitykernel_single_precision(float *RESTRICT const _data_j, float *RESTRICT _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)
Definition ContinuityKernel_single_precision.cpp:49
walberla
\file PackInfoPdfDoublePrecision.cpp \author pystencils
Definition EKWalberla.hpp:38