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Extensible Simulation Package for Research on Soft Matter Systems
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CollideSweepSinglePrecisionLeesEdwardsCUDA.h
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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 CollideSweepSinglePrecisionLeesEdwardsCUDA.h
17//! \\author pystencils
18//======================================================================================================================
19
20// kernel generated with pystencils v1.3.3, lbmpy v1.3.3,
21// lbmpy_walberla/pystencils_walberla from waLBerla commit
22// b0842e1a493ce19ef1bbb8d2cf382fc343970a7f
23
24#pragma once
25#include "core/DataTypes.h"
26#include "core/logging/Logging.h"
27
28#include "gpu/GPUField.h"
29#include "gpu/GPUWrapper.h"
30
31#include "domain_decomposition/BlockDataID.h"
32#include "domain_decomposition/IBlock.h"
33#include "domain_decomposition/StructuredBlockStorage.h"
34#include "field/SwapableCompare.h"
35#include <set>
36
37#ifdef __GNUC__
38#define RESTRICT __restrict__
39#elif _MSC_VER
40#define RESTRICT __restrict
41#else
42#define RESTRICT
43#endif
44
45#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || \
46 (defined WALBERLA_CXX_COMPILER_IS_CLANG)
47#pragma GCC diagnostic push
48#pragma GCC diagnostic ignored "-Wunused-parameter"
49#pragma GCC diagnostic ignored "-Wreorder"
50#endif
51
52namespace walberla {
53namespace pystencils {
54
56public:
58 BlockDataID pdfsID_,
59 float grid_size, float omega_shear,
60 float v_s)
61 : forceID(forceID_), pdfsID(pdfsID_), grid_size_(grid_size),
62 omega_shear_(omega_shear), v_s_(v_s){};
63
64 void run(IBlock *block, gpuStream_t stream = nullptr);
65
66 void runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks,
67 const CellInterval &globalCellInterval,
68 cell_idx_t ghostLayers, IBlock *block,
69 gpuStream_t stream = nullptr);
70
71 void operator()(IBlock *block, gpuStream_t stream = nullptr) {
73 }
74
75 static std::function<void(IBlock *)> getSweep(
76 const shared_ptr<CollideSweepSinglePrecisionLeesEdwardsCUDA> &kernel) {
77 return [kernel](IBlock *b) { kernel->run(b); };
78 }
79
80 static std::function<void(IBlock *, gpuStream_t)> getSweepOnCellInterval(
81 const shared_ptr<CollideSweepSinglePrecisionLeesEdwardsCUDA> &kernel,
82 const shared_ptr<StructuredBlockStorage> &blocks,
83 const CellInterval &globalCellInterval, cell_idx_t ghostLayers = 1) {
84 return [kernel, blocks, globalCellInterval,
85 ghostLayers](IBlock *b, gpuStream_t stream = nullptr) {
86 kernel->runOnCellInterval(blocks, globalCellInterval, ghostLayers, b,
87 stream);
88 };
89 }
90
91 std::function<void(IBlock *)> getSweep(gpuStream_t stream = nullptr) {
92 return [this, stream](IBlock *b) { this->run(b, stream); };
93 }
94
95 std::function<void(IBlock *)>
96 getSweepOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks,
97 const CellInterval &globalCellInterval,
98 cell_idx_t ghostLayers = 1,
99 gpuStream_t stream = nullptr) {
100 return [this, blocks, globalCellInterval, ghostLayers, stream](IBlock *b) {
101 this->runOnCellInterval(blocks, globalCellInterval, ghostLayers, b,
102 stream);
103 };
104 }
105
106 void configure(const shared_ptr<StructuredBlockStorage> &blocks,
107 IBlock *block) {}
108
109 BlockDataID forceID;
110 BlockDataID pdfsID;
113 float v_s_;
114};
115
116} // namespace pystencils
117} // namespace walberla
118
119#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || \
120 (defined WALBERLA_CXX_COMPILER_IS_CLANG)
121#pragma GCC diagnostic pop
122#endif
void configure(const shared_ptr< StructuredBlockStorage > &blocks, IBlock *block)
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block, gpuStream_t stream=nullptr)
static std::function< void(IBlock *)> getSweep(const shared_ptr< CollideSweepSinglePrecisionLeesEdwardsCUDA > &kernel)
static std::function< void(IBlock *, gpuStream_t)> getSweepOnCellInterval(const shared_ptr< CollideSweepSinglePrecisionLeesEdwardsCUDA > &kernel, const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers=1)
std::function< void(IBlock *)> getSweepOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers=1, gpuStream_t stream=nullptr)
CollideSweepSinglePrecisionLeesEdwardsCUDA(BlockDataID forceID_, BlockDataID pdfsID_, float grid_size, float omega_shear, float v_s)
cudaStream_t stream[1]
CUDA streams for parallel computing on CPU and GPU.
static double * block(double *p, std::size_t index, std::size_t size)
Definition elc.cpp:172
\file PackInfoPdfDoublePrecision.cpp \author pystencils