ESPResSo
Extensible Simulation Package for Research on Soft Matter Systems
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UpdateVelFromPDFDoublePrecisionCUDA.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 UpdateVelFromPDFDoublePrecisionCUDA.h
17//! \\author pystencils
18//======================================================================================================================
19
20// kernel generated with pystencils v1.4+1.ge851f4e, lbmpy v1.4+1.ge9efe34,
21// sympy v1.12.1, lbmpy_walberla/pystencils_walberla from waLBerla commit
22// 007e77e077ad9d22b5eed6f3d3118240993e553c
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
36#include <functional>
37#include <unordered_map>
38
39#ifdef __GNUC__
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:
57 UpdateVelFromPDFDoublePrecisionCUDA(BlockDataID forceID_, BlockDataID pdfsID_,
58 BlockDataID velocityID_)
59 : forceID(forceID_), pdfsID(pdfsID_), velocityID(velocityID_) {}
60
61 void run(IBlock *block, gpuStream_t stream = nullptr);
62
63 void runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks,
64 const CellInterval &globalCellInterval,
65 cell_idx_t ghostLayers, IBlock *block,
66 gpuStream_t stream = nullptr);
67
68 void operator()(IBlock *block, gpuStream_t stream = nullptr) {
70 }
71
72 static std::function<void(IBlock *)>
73 getSweep(const shared_ptr<UpdateVelFromPDFDoublePrecisionCUDA> &kernel) {
74 return [kernel](IBlock *b) { kernel->run(b); };
75 }
76
77 static std::function<void(IBlock *, gpuStream_t)> getSweepOnCellInterval(
78 const shared_ptr<UpdateVelFromPDFDoublePrecisionCUDA> &kernel,
79 const shared_ptr<StructuredBlockStorage> &blocks,
80 const CellInterval &globalCellInterval, cell_idx_t ghostLayers = 1) {
81 return [kernel, blocks, globalCellInterval,
82 ghostLayers](IBlock *b, gpuStream_t stream = nullptr) {
83 kernel->runOnCellInterval(blocks, globalCellInterval, ghostLayers, b,
84 stream);
85 };
86 }
87
88 std::function<void(IBlock *)> getSweep(gpuStream_t stream = nullptr) {
89 return [this, stream](IBlock *b) { this->run(b, stream); };
90 }
91
92 std::function<void(IBlock *)>
93 getSweepOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks,
94 const CellInterval &globalCellInterval,
95 cell_idx_t ghostLayers = 1,
96 gpuStream_t stream = nullptr) {
97 return [this, blocks, globalCellInterval, ghostLayers, stream](IBlock *b) {
98 this->runOnCellInterval(blocks, globalCellInterval, ghostLayers, b,
99 stream);
100 };
101 }
102
103 void configure(const shared_ptr<StructuredBlockStorage> & /*blocks*/,
104 IBlock * /*block*/) {}
105
106private:
107 BlockDataID forceID;
108 BlockDataID pdfsID;
109 BlockDataID velocityID;
110};
111
112} // namespace pystencils
113} // namespace walberla
114
115#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || \
116 (defined WALBERLA_CXX_COMPILER_IS_CLANG)
117#pragma GCC diagnostic pop
118#endif
void configure(const shared_ptr< StructuredBlockStorage > &, IBlock *)
static std::function< void(IBlock *)> getSweep(const shared_ptr< UpdateVelFromPDFDoublePrecisionCUDA > &kernel)
static std::function< void(IBlock *, gpuStream_t)> getSweepOnCellInterval(const shared_ptr< UpdateVelFromPDFDoublePrecisionCUDA > &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)
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block, gpuStream_t stream=nullptr)
UpdateVelFromPDFDoublePrecisionCUDA(BlockDataID forceID_, BlockDataID pdfsID_, BlockDataID velocityID_)
std::function< void(IBlock *)> getSweep(gpuStream_t stream=nullptr)
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:176
\file PackInfoPdfDoublePrecision.cpp \author pystencils