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Extensible Simulation Package for Research on Soft Matter Systems
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StreamSweepDoublePrecisionCUDA.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 StreamSweepDoublePrecisionCUDA.h
17//! \\author pystencils
18//======================================================================================================================
19
20// kernel generated with pystencils v1.3.7, lbmpy v1.3.7, sympy v1.12.1,
21// lbmpy_walberla/pystencils_walberla from waLBerla commit
22// f36fa0a68bae59f0b516f6587ea8fa7c24a41141
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#elif _MSC_VER
42#define RESTRICT __restrict
43#else
44#define RESTRICT
45#endif
46
47#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || \
48 (defined WALBERLA_CXX_COMPILER_IS_CLANG)
49#pragma GCC diagnostic push
50#pragma GCC diagnostic ignored "-Wunused-parameter"
51#pragma GCC diagnostic ignored "-Wreorder"
52#endif
53
54namespace walberla {
55namespace pystencils {
56
58public:
59 StreamSweepDoublePrecisionCUDA(BlockDataID forceID_, BlockDataID pdfsID_,
60 BlockDataID velocityID_)
61 : forceID(forceID_), pdfsID(pdfsID_), velocityID(velocityID_) {}
62
64 for (auto p : cache_pdfs_) {
65 delete p.second;
66 }
67 }
68
69 void run(IBlock *block, gpuStream_t stream = nullptr);
70
71 void runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks,
72 const CellInterval &globalCellInterval,
73 cell_idx_t ghostLayers, IBlock *block,
74 gpuStream_t stream = nullptr);
75
76 void operator()(IBlock *block, gpuStream_t stream = nullptr) {
78 }
79
80 static std::function<void(IBlock *)>
81 getSweep(const shared_ptr<StreamSweepDoublePrecisionCUDA> &kernel) {
82 return [kernel](IBlock *b) { kernel->run(b); };
83 }
84
85 static std::function<void(IBlock *, gpuStream_t)> getSweepOnCellInterval(
86 const shared_ptr<StreamSweepDoublePrecisionCUDA> &kernel,
87 const shared_ptr<StructuredBlockStorage> &blocks,
88 const CellInterval &globalCellInterval, cell_idx_t ghostLayers = 1) {
89 return [kernel, blocks, globalCellInterval,
90 ghostLayers](IBlock *b, gpuStream_t stream = nullptr) {
91 kernel->runOnCellInterval(blocks, globalCellInterval, ghostLayers, b,
92 stream);
93 };
94 }
95
96 std::function<void(IBlock *)> getSweep(gpuStream_t stream = nullptr) {
97 return [this, stream](IBlock *b) { this->run(b, stream); };
98 }
99
100 std::function<void(IBlock *)>
101 getSweepOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks,
102 const CellInterval &globalCellInterval,
103 cell_idx_t ghostLayers = 1,
104 gpuStream_t stream = nullptr) {
105 return [this, blocks, globalCellInterval, ghostLayers, stream](IBlock *b) {
106 this->runOnCellInterval(blocks, globalCellInterval, ghostLayers, b,
107 stream);
108 };
109 }
110
111 void configure(const shared_ptr<StructuredBlockStorage> & /*blocks*/,
112 IBlock * /*block*/) {}
113
114private:
115 BlockDataID forceID;
116 BlockDataID pdfsID;
117 BlockDataID velocityID;
118 std::unordered_map<IBlock *, gpu::GPUField<double> *> cache_pdfs_;
119};
120
121} // namespace pystencils
122} // namespace walberla
123
124#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || \
125 (defined WALBERLA_CXX_COMPILER_IS_CLANG)
126#pragma GCC diagnostic pop
127#endif
static std::function< void(IBlock *, gpuStream_t)> getSweepOnCellInterval(const shared_ptr< StreamSweepDoublePrecisionCUDA > &kernel, const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers=1)
void configure(const shared_ptr< StructuredBlockStorage > &, IBlock *)
std::function< void(IBlock *)> getSweep(gpuStream_t stream=nullptr)
StreamSweepDoublePrecisionCUDA(BlockDataID forceID_, BlockDataID pdfsID_, BlockDataID velocityID_)
void operator()(IBlock *block, gpuStream_t stream=nullptr)
static std::function< void(IBlock *)> getSweep(const shared_ptr< StreamSweepDoublePrecisionCUDA > &kernel)
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block, gpuStream_t stream=nullptr)
std::function< void(IBlock *)> getSweepOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers=1, 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:172
\file PackInfoPdfDoublePrecision.cpp \author pystencils