Neko  0.9.0
A portable framework for high-order spectral element flow simulations
schwarz_kernel.h
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1 #ifndef __MATH_SCHWARZ_KERNEL_H__
2 #define __MATH_SCHWARZ_KERNEL_H__
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36 
45 template< typename T, const int NX>
46 __global__ void schwarz_extrude_kernel(T * a1,
47  const int l1,
48  const T f1,
49  T * a2,
50  const int l2,
51  const T f2){
52 
53  const int idx = threadIdx.x;
54  const int el = blockIdx.x*NX*NX*NX;
55  const int x = idx%(NX-2) + 1;
56  const int y = idx/(NX-2) + 1;
57  int idx1,idx2;
58 
59  idx1 = l1 + x*NX + y*NX*NX + el;
60  idx2 = l2 + x*NX + y*NX*NX + el;
61  a1[idx1] = f1*a1[idx1] + f2*a2[idx2];
62 
63  idx1 = (NX-1-l1) + x*NX + y*NX*NX + el;
64  idx2 = (NX-1-l2) + x*NX + y*NX*NX + el;
65  a1[idx1] = f1*a1[idx1] + f2*a2[idx2];
66 
67  __syncthreads();
68 
69  idx1 = x + l1*NX + y*NX*NX + el;
70  idx2 = x + l2*NX + y*NX*NX + el;
71  a1[idx1] = f1*a1[idx1] + f2*a2[idx2];
72 
73  idx1 = x + (NX-1-l1)*NX + y*NX*NX + el;
74  idx2 = x + (NX-1-l2)*NX + y*NX*NX + el;
75  a1[idx1] = f1*a1[idx1] + f2*a2[idx2];
76 
77  __syncthreads();
78 
79  idx1 = x + y*NX + l1*NX*NX + el;
80  idx2 = x + y*NX + l2*NX*NX + el;
81  a1[idx1] = f1*a1[idx1] + f2*a2[idx2];
82 
83  idx1 = x + y*NX + (NX-1-l1)*NX*NX + el;
84  idx2 = x + y*NX + (NX-1-l2)*NX*NX + el;
85  a1[idx1] = f1*a1[idx1] + f2*a2[idx2];
86 }
87 
88 
92 template< typename T>
93 __global__ void schwarz_toext3d_kernel(T * __restrict__ a,
94  T *__restrict__ b,
95  const int nx) {
96 
97  const int idx = threadIdx.x;
98  const int nx2 = nx+2;
99  const int el2 = blockIdx.x*nx2*nx2*nx2;
100  const int el = blockIdx.x*nx*nx*nx;
101  for(int i = idx; i<nx2*nx2*nx2; i+=blockDim.x){
102  a[i+el2] = 0.0;
103  }
104  __syncthreads();
105  for(int ijk = idx; ijk<nx*nx*nx; ijk+=blockDim.x){
106  const int jk = ijk / nx;
107  const int i = ijk - jk * nx;
108  const int k = jk / nx;
109  const int j = jk - k * nx;
110  a[(i+1)+(j+1)*nx2+(k+1)*nx2*nx2+el2] = b[ijk+el];
111  }
112 }
113 
114 template< typename T>
115 __global__ void schwarz_toreg3d_kernel(T * __restrict__ b,
116  T *__restrict__ a,
117  const int nx) {
118 
119  const int idx = threadIdx.x;
120  const int nx2 = nx+2;
121  const int el2 = blockIdx.x*nx2*nx2*nx2;
122  const int el = blockIdx.x*nx*nx*nx;
123  for(int ijk = idx; ijk<nx*nx*nx; ijk+=blockDim.x){
124  const int jk = ijk / nx;
125  const int i = ijk - jk * nx;
126  const int k = jk / nx;
127  const int j = jk - k * nx;
128  b[ijk+el] = a[(i+1)+(j+1)*nx2+(k+1)*nx2*nx2+el2];
129  }
130 }
131 
132 #endif // __MATH_SCHWARZ_KERNEL_H__
const int i
const int j
__syncthreads()
__global__ void const T *__restrict__ x
Definition: cdtp_kernel.h:106
__global__ void schwarz_extrude_kernel(T *a1, const int l1, const T f1, T *a2, const int l2, const T f2)
__global__ void schwarz_toreg3d_kernel(T *__restrict__ b, T *__restrict__ a, const int nx)
__global__ void schwarz_toext3d_kernel(T *__restrict__ a, T *__restrict__ b, const int nx)