ESPResSo
Extensible Simulation Package for Research on Soft Matter Systems
Loading...
Searching...
No Matches
DiffusiveFluxKernel_double_precision_CUDA.cu
Go to the documentation of this file.
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 DiffusiveFluxKernel_double_precision_CUDA.cpp
17//! \\author pystencils
18//======================================================================================================================
19
20// kernel generated with pystencils v1.3.7+13.gdfd203a, lbmpy v1.3.7+10.gd3f6236, sympy v1.12.1, lbmpy_walberla/pystencils_walberla from waLBerla commit c69cb11d6a95d32b2280544d3d9abde1fe5fdbb5
21
22#include <cmath>
23
25#include "core/DataTypes.h"
26#include "core/Macros.h"
27
28#define FUNC_PREFIX __global__
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_diffusivefluxkernel_double_precision_cuda_diffusivefluxkernel_double_precision_cuda {
49static FUNC_PREFIX __launch_bounds__(256) void diffusivefluxkernel_double_precision_cuda_diffusivefluxkernel_double_precision_cuda(double D, double *RESTRICT const _data_j, double *RESTRICT const _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 if (blockDim.y * blockIdx.y + threadIdx.y < _size_j_1 && blockDim.z * blockIdx.z + threadIdx.z < _size_j_2 && blockDim.x * blockIdx.x + threadIdx.x + 1 < _size_j_0) {
51 const int64_t ctr_0 = blockDim.x * blockIdx.x + threadIdx.x + 1;
52 const int64_t ctr_1 = blockDim.y * blockIdx.y + threadIdx.y;
53 const int64_t ctr_2 = blockDim.z * blockIdx.z + threadIdx.z;
54 if (ctr_1 > 0 && ctr_2 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
55 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2]) * 0.16292407789368385;
56 }
57 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1 && ctr_2 < _size_j_2 - 1) {
58 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2]) * 0.16292407789368385;
59 }
60 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1 && ctr_1 < _size_j_1 - 1) {
61 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 2 * _stride_j_3] = D * (-_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 - _stride_rho_2] + _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2]) * 0.16292407789368385;
62 }
63 if (ctr_1 > 0 && ctr_2 > 0 && ctr_2 < _size_j_2 - 1) {
64 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 3 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2]) * 0.11520472029718914;
65 }
66 if (ctr_2 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
67 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 4 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2]) * 0.11520472029718914;
68 }
69 if (ctr_1 > 0 && ctr_2 > 0 && ctr_1 < _size_j_1 - 1) {
70 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 5 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]) * 0.11520472029718914;
71 }
72 if (ctr_1 > 0 && ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
73 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 6 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]) * 0.11520472029718914;
74 }
75 if (ctr_1 > 0 && ctr_2 > 0 && ctr_0 < _size_j_0 - 1) {
76 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 7 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]) * 0.11520472029718914;
77 }
78 if (ctr_1 > 0 && ctr_0 < _size_j_0 - 1 && ctr_2 < _size_j_2 - 1) {
79 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 8 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]) * 0.11520472029718914;
80 }
81 if (ctr_1 > 0 && ctr_2 > 0) {
82 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 9 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]) * 0.09406426022938992;
83 }
84 if (ctr_1 > 0 && ctr_2 < _size_j_2 - 1) {
85 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 10 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 - _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]) * 0.09406426022938992;
86 }
87 if (ctr_2 > 0 && ctr_1 < _size_j_1 - 1) {
88 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 11 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2 - _stride_rho_2]) * 0.09406426022938992;
89 }
90 if (ctr_1 < _size_j_1 - 1 && ctr_2 < _size_j_2 - 1) {
91 _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 12 * _stride_j_3] = D * (_data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] - _data_rho[_stride_rho_0 * ctr_0 - _stride_rho_0 + _stride_rho_1 * ctr_1 + _stride_rho_1 + _stride_rho_2 * ctr_2 + _stride_rho_2]) * 0.09406426022938992;
92 }
93 }
94}
95} // namespace internal_diffusivefluxkernel_double_precision_cuda_diffusivefluxkernel_double_precision_cuda
96
98
99 auto j = block->getData<gpu::GPUField<double>>(jID);
100 auto rho = block->getData<gpu::GPUField<double>>(rhoID);
101
102 auto &D = this->D_;
103 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(j->nrOfGhostLayers()))
104 double *RESTRICT const _data_j = j->dataAt(-1, -1, -1, 0);
105 WALBERLA_ASSERT_EQUAL(j->layout(), field::fzyx)
106 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(rho->nrOfGhostLayers()))
107 double *RESTRICT const _data_rho = rho->dataAt(-1, -1, -1, 0);
108 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(j->xSize()) + 2))
109 const int64_t _size_j_0 = int64_t(int64_c(j->xSize()) + 2);
110 WALBERLA_ASSERT_EQUAL(j->layout(), field::fzyx)
111 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(j->ySize()) + 2))
112 const int64_t _size_j_1 = int64_t(int64_c(j->ySize()) + 2);
113 WALBERLA_ASSERT_EQUAL(j->layout(), field::fzyx)
114 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(j->zSize()) + 2))
115 const int64_t _size_j_2 = int64_t(int64_c(j->zSize()) + 2);
116 WALBERLA_ASSERT_EQUAL(j->layout(), field::fzyx)
117 const int64_t _stride_j_0 = int64_t(j->xStride());
118 const int64_t _stride_j_1 = int64_t(j->yStride());
119 const int64_t _stride_j_2 = int64_t(j->zStride());
120 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
121 const int64_t _stride_rho_0 = int64_t(rho->xStride());
122 const int64_t _stride_rho_1 = int64_t(rho->yStride());
123 const int64_t _stride_rho_2 = int64_t(rho->zStride());
124 dim3 _block(uint32_c(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)), uint32_c(((1024 < ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))) ? 1024 : ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))), uint32_c(((64 < ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))) ? 64 : ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))))));
125 dim3 _grid(uint32_c(((_size_j_0 - 1) % (((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)) == 0 ? (int64_t)(_size_j_0 - 1) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)) : ((int64_t)(_size_j_0 - 1) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))) + 1)), uint32_c(((_size_j_1) % (((1024 < ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))) ? 1024 : ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))) == 0 ? (int64_t)(_size_j_1) / (int64_t)(((1024 < ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))) ? 1024 : ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))) : ((int64_t)(_size_j_1) / (int64_t)(((1024 < ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))) ? 1024 : ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) + 1)), uint32_c(((_size_j_2) % (((64 < ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))) ? 64 : ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))))) == 0 ? (int64_t)(_size_j_2) / (int64_t)(((64 < ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))) ? 64 : ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))))) : ((int64_t)(_size_j_2) / (int64_t)(((64 < ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))) ? 64 : ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))))) + 1)));
126 internal_diffusivefluxkernel_double_precision_cuda_diffusivefluxkernel_double_precision_cuda::diffusivefluxkernel_double_precision_cuda_diffusivefluxkernel_double_precision_cuda<<<_grid, _block, 0, stream>>>(D, _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);
127}
128
129void DiffusiveFluxKernel_double_precision_CUDA::runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block, gpuStream_t stream) {
130
131 CellInterval ci = globalCellInterval;
132 CellInterval blockBB = blocks->getBlockCellBB(*block);
133 blockBB.expand(ghostLayers);
134 ci.intersect(blockBB);
135 blocks->transformGlobalToBlockLocalCellInterval(ci, *block);
136 if (ci.empty())
137 return;
138
139 auto j = block->getData<gpu::GPUField<double>>(jID);
140 auto rho = block->getData<gpu::GPUField<double>>(rhoID);
141
142 auto &D = this->D_;
143 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(j->nrOfGhostLayers()))
144 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(j->nrOfGhostLayers()))
145 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(j->nrOfGhostLayers()))
146 double *RESTRICT const _data_j = j->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
147 WALBERLA_ASSERT_EQUAL(j->layout(), field::fzyx)
148 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(rho->nrOfGhostLayers()))
149 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(rho->nrOfGhostLayers()))
150 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(rho->nrOfGhostLayers()))
151 double *RESTRICT const _data_rho = rho->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
152 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(ci.xSize()) + 2))
153 const int64_t _size_j_0 = int64_t(int64_c(ci.xSize()) + 2);
154 WALBERLA_ASSERT_EQUAL(j->layout(), field::fzyx)
155 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(ci.ySize()) + 2))
156 const int64_t _size_j_1 = int64_t(int64_c(ci.ySize()) + 2);
157 WALBERLA_ASSERT_EQUAL(j->layout(), field::fzyx)
158 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(ci.zSize()) + 2))
159 const int64_t _size_j_2 = int64_t(int64_c(ci.zSize()) + 2);
160 WALBERLA_ASSERT_EQUAL(j->layout(), field::fzyx)
161 const int64_t _stride_j_0 = int64_t(j->xStride());
162 const int64_t _stride_j_1 = int64_t(j->yStride());
163 const int64_t _stride_j_2 = int64_t(j->zStride());
164 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
165 const int64_t _stride_rho_0 = int64_t(rho->xStride());
166 const int64_t _stride_rho_1 = int64_t(rho->yStride());
167 const int64_t _stride_rho_2 = int64_t(rho->zStride());
168 dim3 _block(uint32_c(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)), uint32_c(((1024 < ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))) ? 1024 : ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))), uint32_c(((64 < ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))) ? 64 : ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))))));
169 dim3 _grid(uint32_c(((_size_j_0 - 1) % (((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)) == 0 ? (int64_t)(_size_j_0 - 1) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)) : ((int64_t)(_size_j_0 - 1) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))) + 1)), uint32_c(((_size_j_1) % (((1024 < ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))) ? 1024 : ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))) == 0 ? (int64_t)(_size_j_1) / (int64_t)(((1024 < ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))) ? 1024 : ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))) : ((int64_t)(_size_j_1) / (int64_t)(((1024 < ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))) ? 1024 : ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) + 1)), uint32_c(((_size_j_2) % (((64 < ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))) ? 64 : ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))))) == 0 ? (int64_t)(_size_j_2) / (int64_t)(((64 < ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))) ? 64 : ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))))) : ((int64_t)(_size_j_2) / (int64_t)(((64 < ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))) ? 64 : ((_size_j_2 < ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1))))))) ? _size_j_2 : ((int64_t)(256) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1) * ((_size_j_1 < 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))) ? _size_j_1 : 2 * ((int64_t)(128) / (int64_t)(((128 < _size_j_0 - 1) ? 128 : _size_j_0 - 1)))))))))) + 1)));
170 internal_diffusivefluxkernel_double_precision_cuda_diffusivefluxkernel_double_precision_cuda::diffusivefluxkernel_double_precision_cuda_diffusivefluxkernel_double_precision_cuda<<<_grid, _block, 0, stream>>>(D, _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);
171}
172
173} // namespace pystencils
174} // namespace walberla
175
176#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
177#pragma GCC diagnostic pop
178#endif
179
180#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
181#pragma warning pop
182#endif
#define FUNC_PREFIX
\file AdvectiveFluxKernel_double_precision.cpp \author pystencils
#define RESTRICT
\file AdvectiveFluxKernel_double_precision.h \author pystencils
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block, 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
STL namespace.
static FUNC_PREFIX double *RESTRICT const double *RESTRICT const int64_t const int64_t const int64_t const _size_j_2
static FUNC_PREFIX double *RESTRICT const double *RESTRICT const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const _stride_rho_0
static FUNC_PREFIX double *RESTRICT const double *RESTRICT const int64_t const int64_t const int64_t const int64_t const _stride_j_0
static FUNC_PREFIX __launch_bounds__(256) void diffusivefluxkernel_double_precision_cuda_diffusivefluxkernel_double_precision_cuda(double D
static FUNC_PREFIX double *RESTRICT const double *RESTRICT const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const _stride_j_2
static FUNC_PREFIX double *RESTRICT const double *RESTRICT const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const _stride_j_3
static FUNC_PREFIX double *RESTRICT const double *RESTRICT const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const int64_t const _stride_rho_1
static FUNC_PREFIX double *RESTRICT const double *RESTRICT const int64_t const int64_t const int64_t const int64_t const int64_t const _stride_j_1
\file PackInfoPdfDoublePrecision.cpp \author pystencils