-
Notifications
You must be signed in to change notification settings - Fork 299
/
CudaParticleSource.inl
138 lines (111 loc) · 5.76 KB
/
CudaParticleSource.inl
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
/******************************************************************************
* SOFA, Simulation Open-Framework Architecture *
* (c) 2006 INRIA, USTL, UJF, CNRS, MGH *
* *
* This program is free software; you can redistribute it and/or modify it *
* under the terms of the GNU Lesser General Public License as published by *
* the Free Software Foundation; either version 2.1 of the License, or (at *
* your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, but WITHOUT *
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or *
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License *
* for more details. *
* *
* You should have received a copy of the GNU Lesser General Public License *
* along with this program. If not, see <http://www.gnu.org/licenses/>. *
*******************************************************************************
* Authors: The SOFA Team and external contributors (see Authors.txt) *
* *
* Contact information: contact@sofa-framework.org *
******************************************************************************/
#ifndef SOFA_GPU_CUDA_CUDAPARTICLESOURCE_INL
#define SOFA_GPU_CUDA_CUDAPARTICLESOURCE_INL
#include "CudaParticleSource.h"
#include <sofa/gpu/cuda/mycuda.h>
namespace sofa
{
namespace gpu::cuda
{
extern "C"
{
void ParticleSourceCuda3f_fillValues(unsigned int totalsize, unsigned int subsetsize, void* dest, const void* indices, float fx, float fy, float fz);
void ParticleSourceCuda3f_copyValuesWithOffset(unsigned int totalsize, unsigned int subsetsize, void* dest, const void* indices, const void* src, float fx, float fy, float fz);
#ifdef SOFA_GPU_CUDA_DOUBLE
void ParticleSourceCuda3d_fillValues(unsigned int totalsize, unsigned int subsetsize, void* dest, const void* indices, double fx, double fy, double fz);
void ParticleSourceCuda3d_copyValuesWithOffset(unsigned int totalsize, unsigned int subsetsize, void* dest, const void* indices, const void* src, double fx, double fy, double fz);
#endif // SOFA_GPU_CUDA_DOUBLE
}
} // namespace gpu::cuda
namespace component::misc
{
using namespace gpu::cuda;
// template <>
// void ParticleSource<gpu::cuda::CudaVec3fTypes>::projectResponse(VecDeriv& res)
// {
// if (!this->mstate) return;
// const VecIndex& lastparticles = this->lastparticles.getValue();
// if (lastparticles.empty()) return;
// double time = getContext()->getTime();
// if (time < f_start.getValue() || time > f_stop.getValue()) return;
// // constraint the last values
// //mycudaMemset(((Deriv*)res.deviceWrite())+lastparticles[0], 0, lastparticles.size()*sizeof(Deriv));
// ParticleSourceCuda3f_fillValues(res.size(), lastparticles.size(), res.deviceWrite(), lastparticles.deviceRead(), 0, 0, 0);
// }
// template <>
// void ParticleSource<gpu::cuda::CudaVec3fTypes>::projectVelocity(VecDeriv& res)
// {
// if (!this->mstate) return;
// const VecIndex& lastparticles = this->lastparticles.getValue();
// if (lastparticles.empty()) return;
// double time = getContext()->getTime();
// if (time < f_start.getValue() || time > f_stop.getValue()) return;
// // constraint the last values
// Deriv vel = f_velocity.getValue();
// #if 1
// //mycudaMemset(((Deriv*)res.deviceWrite())+lastparticles[0], 0, lastparticles.size()*sizeof(Coord));
// ParticleSourceCuda3f_fillValues(res.size(), lastparticles.size(), res.deviceWrite(), lastparticles.deviceRead(), vel[0], vel[1], vel[2]);
// #else
// for (unsigned int s=0; s<lastparticles.size(); s++)
// if ( lastparticles[s] < res.size() )
// res[lastparticles[s]] = vel;
// #endif
// }
// template <>
// void ParticleSource<gpu::cuda::CudaVec3fTypes>::projectPosition(VecCoord& res)
// {
// if (!this->mstate) return;
// const VecIndex& lastparticles = this->lastparticles.getValue();
// if (lastparticles.empty()) return;
// double time = getContext()->getTime();
// if (time < f_start.getValue() || time > f_stop.getValue()) return;
// // constraint the last values
// Deriv vel = f_velocity.getValue();
// vel *= (time-lasttime);
// //mycudaMemset(((Deriv*)res.deviceWrite())+lastparticles[0], 0, lastparticles.size()*sizeof(Coord));
// ParticleSourceCuda3f_copyValuesWithOffset(res.size(), lastparticles.size(), res.deviceWrite(), lastparticles.deviceRead(), lastpos.deviceRead(), vel[0], vel[1], vel[2]);
// }
// #ifdef SOFA_GPU_CUDA_DOUBLE
// template <>
// void ParticleSource<gpu::cuda::CudaVec3dTypes>::projectResponse(VecDeriv& res)
// {
// if (!this->mstate) return;
// const VecIndex& lastparticles = this->lastparticles.getValue();
// if (lastparticles.empty()) return;
// double time = getContext()->getTime();
// if (time < f_start.getValue() || time > f_stop.getValue()) return;
// // constraint the last values
// mycudaMemset(((Deriv*)res.deviceWrite())+lastparticles[0], 0, lastparticles.size()*sizeof(Coord));
// }
// template <>
// void ParticleSource<gpu::cuda::CudaVec3dTypes>::projectVelocity(VecDeriv& /*res*/)
// {
// }
// template <>
// void ParticleSource<gpu::cuda::CudaVec3dTypes>::projectPosition(VecDeriv& /*res*/)
// {
// }
// #endif // SOFA_GPU_CUDA_DOUBLE
} // namespace component::misc
} // namespace sofa
#endif