BG_Flood  0.1
Documentation (Work-in-progress)
Kurganov.h
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1 #ifndef KURGANOV_H
2 #define KURGANOV_H
3 
4 #include "General.h"
5 #include "Param.h"
6 #include "Arrays.h"
7 #include "Forcing.h"
8 #include "MemManagement.h"
9 #include "Util_CPU.h"
10 #include "Spherical.h"
11 
12 template <class T> __global__ void updateKurgXGPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* dtmax, T* zb);
13 template <class T> __global__ void AddSlopeSourceXGPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* zb);
14 
15 template <class T> __host__ void updateKurgXCPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* dtmax, T* zb);
16 template <class T> __host__ void AddSlopeSourceXCPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* zb);
17 
18 
19 template <class T> __global__ void updateKurgYGPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* dtmax, T* zb);
20 template <class T> __global__ void AddSlopeSourceYGPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* zb);
21 
22 template <class T> __host__ void updateKurgYCPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* dtmax, T* zb);
23 template <class T> __host__ void AddSlopeSourceYCPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* zb);
24 
25 template <class T> __global__ void updateKurgXATMGPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* dtmax, T* zb, T* Patm, T* dPdx);
26 template <class T> __host__ void updateKurgXATMCPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* dtmax, T* zb, T* Patm, T* dPdx);
27 
28 template <class T> __global__ void updateKurgYATMGPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* dtmax, T* zb, T* Patm, T* dPdy);
29 template <class T> __host__ void updateKurgYATMCPU(Param XParam, BlockP<T> XBlock, EvolvingP<T> XEv, GradientsP<T> XGrad, FluxP<T> XFlux, T* dtmax, T* zb, T* Patm, T* dPdy);
30 
31 
32 template <class T> __host__ __device__ T KurgSolver(T g, T delta, T epsi, T CFL, T cm, T fm, T hp, T hm, T up, T um, T& fh, T& fu);
33 
34 #endif
Patm
float * Patm
Definition: BasCart_gpu.cu:152
dtmax
float dtmax
Definition: BasCart_gpu.cu:110
dPdx
float * dPdx
Definition: BasCart_gpu.cu:152
dPdy
float * dPdy
Definition: BasCart_gpu.cu:152
zb
float * zb
Definition: BasCart_gpu.cu:54
updateKurgXATMCPU
__host__ void updateKurgXATMCPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *dtmax, T *zb, T *Patm, T *dPdx)
Definition: Kurganov.cu:588
updateKurgXATMGPU
__global__ void updateKurgXATMGPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *dtmax, T *zb, T *Patm, T *dPdx)
Definition: Kurganov.cu:159
updateKurgXGPU
__global__ void updateKurgXGPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *dtmax, T *zb)
Definition: Kurganov.cu:4
AddSlopeSourceXGPU
__global__ void AddSlopeSourceXGPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *zb)
Definition: Kurganov.cu:316
AddSlopeSourceYCPU
__host__ void AddSlopeSourceYCPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *zb)
Definition: Kurganov.cu:1562
updateKurgYATMCPU
__host__ void updateKurgYATMCPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *dtmax, T *zb, T *Patm, T *dPdy)
Definition: Kurganov.cu:1407
updateKurgYATMGPU
__global__ void updateKurgYATMGPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *dtmax, T *zb, T *Patm, T *dPdy)
Definition: Kurganov.cu:1014
updateKurgXCPU
__host__ void updateKurgXCPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *dtmax, T *zb)
Definition: Kurganov.cu:417
KurgSolver
__host__ __device__ T KurgSolver(T g, T delta, T epsi, T CFL, T cm, T fm, T hp, T hm, T up, T um, T &fh, T &fu)
Definition: Kurganov.cu:1673
updateKurgYCPU
__host__ void updateKurgYCPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *dtmax, T *zb)
Definition: Kurganov.cu:1261
AddSlopeSourceXCPU
__host__ void AddSlopeSourceXCPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *zb)
Definition: Kurganov.cu:762
updateKurgYGPU
__global__ void updateKurgYGPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *dtmax, T *zb)
Definition: Kurganov.cu:877
AddSlopeSourceYGPU
__global__ void AddSlopeSourceYGPU(Param XParam, BlockP< T > XBlock, EvolvingP< T > XEv, GradientsP< T > XGrad, FluxP< T > XFlux, T *zb)
Definition: Kurganov.cu:1159
delta
double delta
Definition: Tutorial_Cart.c:8
Util_CPU.h
Param
Definition: Param.h:10
BlockP
Definition: Arrays.h:100
EvolvingP
Definition: Arrays.h:29
FluxP
Definition: Arrays.h:46
GradientsP
Definition: Arrays.h:11