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Extensible Simulation Package for Research on Soft Matter Systems
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CollideSweepSinglePrecisionThermalizedCUDA.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 CollideSweepSinglePrecisionThermalizedCUDA.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:
60 BlockDataID pdfsID_, float kT,
61 float omega_bulk, float omega_even,
62 float omega_odd, float omega_shear,
63 uint32_t seed, uint32_t time_step)
64 : forceID(forceID_), pdfsID(pdfsID_), kT_(kT), omega_bulk_(omega_bulk),
65 omega_even_(omega_even), omega_odd_(omega_odd),
66 omega_shear_(omega_shear), seed_(seed), time_step_(time_step),
67 block_offset_0_(uint32_t(0)), block_offset_1_(uint32_t(0)),
68 block_offset_2_(uint32_t(0)), configured_(false) {}
69
70 void run(IBlock *block, gpuStream_t stream = nullptr);
71
72 void runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks,
73 const CellInterval &globalCellInterval,
74 cell_idx_t ghostLayers, IBlock *block,
75 gpuStream_t stream = nullptr);
76
77 void operator()(IBlock *block, gpuStream_t stream = nullptr) {
79 }
80
81 static std::function<void(IBlock *)> getSweep(
82 const shared_ptr<CollideSweepSinglePrecisionThermalizedCUDA> &kernel) {
83 return [kernel](IBlock *b) { kernel->run(b); };
84 }
85
86 static std::function<void(IBlock *, gpuStream_t)> getSweepOnCellInterval(
87 const shared_ptr<CollideSweepSinglePrecisionThermalizedCUDA> &kernel,
88 const shared_ptr<StructuredBlockStorage> &blocks,
89 const CellInterval &globalCellInterval, cell_idx_t ghostLayers = 1) {
90 return [kernel, blocks, globalCellInterval,
91 ghostLayers](IBlock *b, gpuStream_t stream = nullptr) {
92 kernel->runOnCellInterval(blocks, globalCellInterval, ghostLayers, b,
93 stream);
94 };
95 }
96
97 std::function<void(IBlock *)> getSweep(gpuStream_t stream = nullptr) {
98 return [this, stream](IBlock *b) { this->run(b, stream); };
99 }
100
101 std::function<void(IBlock *)>
102 getSweepOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks,
103 const CellInterval &globalCellInterval,
104 cell_idx_t ghostLayers = 1,
105 gpuStream_t stream = nullptr) {
106 return [this, blocks, globalCellInterval, ghostLayers, stream](IBlock *b) {
107 this->runOnCellInterval(blocks, globalCellInterval, ghostLayers, b,
108 stream);
109 };
110 }
111
112 void configure(const shared_ptr<StructuredBlockStorage> &blocks,
113 IBlock *block) {
114 Cell BlockCellBB = blocks->getBlockCellBB(*block).min();
115 block_offset_0_ = uint32_t(BlockCellBB[0]);
116 block_offset_1_ = uint32_t(BlockCellBB[1]);
117 block_offset_2_ = uint32_t(BlockCellBB[2]);
118 configured_ = true;
119 }
120
121 inline uint32_t getBlock_offset_0() const { return block_offset_0_; }
122 inline uint32_t getBlock_offset_1() const { return block_offset_1_; }
123 inline uint32_t getBlock_offset_2() const { return block_offset_2_; }
124 inline float getKt() const { return kT_; }
125 inline float getOmega_bulk() const { return omega_bulk_; }
126 inline float getOmega_even() const { return omega_even_; }
127 inline float getOmega_odd() const { return omega_odd_; }
128 inline float getOmega_shear() const { return omega_shear_; }
129 inline uint32_t getSeed() const { return seed_; }
130 inline uint32_t getTime_step() const { return time_step_; }
131 inline void setBlock_offset_0(const uint32_t value) {
132 block_offset_0_ = value;
133 }
134 inline void setBlock_offset_1(const uint32_t value) {
135 block_offset_1_ = value;
136 }
137 inline void setBlock_offset_2(const uint32_t value) {
138 block_offset_2_ = value;
139 }
140 inline void setKt(const float value) { kT_ = value; }
141 inline void setOmega_bulk(const float value) { omega_bulk_ = value; }
142 inline void setOmega_even(const float value) { omega_even_ = value; }
143 inline void setOmega_odd(const float value) { omega_odd_ = value; }
144 inline void setOmega_shear(const float value) { omega_shear_ = value; }
145 inline void setSeed(const uint32_t value) { seed_ = value; }
146 inline void setTime_step(const uint32_t value) { time_step_ = value; }
147
148private:
149 BlockDataID forceID;
150 BlockDataID pdfsID;
151 uint32_t block_offset_0_;
152 uint32_t block_offset_1_;
153 uint32_t block_offset_2_;
154 float kT_;
155 float omega_bulk_;
156 float omega_even_;
157 float omega_odd_;
158 float omega_shear_;
159 uint32_t seed_;
160 uint32_t time_step_;
161
162 bool configured_;
163};
164
165} // namespace pystencils
166} // namespace walberla
167
168#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || \
169 (defined WALBERLA_CXX_COMPILER_IS_CLANG)
170#pragma GCC diagnostic pop
171#endif
Definition Cell.hpp:97
CollideSweepSinglePrecisionThermalizedCUDA(BlockDataID forceID_, BlockDataID pdfsID_, float kT, float omega_bulk, float omega_even, float omega_odd, float omega_shear, uint32_t seed, uint32_t time_step)
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)
void configure(const shared_ptr< StructuredBlockStorage > &blocks, IBlock *block)
static std::function< void(IBlock *, gpuStream_t)> getSweepOnCellInterval(const shared_ptr< CollideSweepSinglePrecisionThermalizedCUDA > &kernel, const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers=1)
static std::function< void(IBlock *)> getSweep(const shared_ptr< CollideSweepSinglePrecisionThermalizedCUDA > &kernel)
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