Neko  0.8.99
A portable framework for high-order spectral element flow simulations
fdm_kernel.h
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1 #ifndef __MATH_FDM_KERNEL_H__
2 #define __MATH_FDM_KERNEL_H__
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36 
37 template< typename T, const int NL >
38 __global__ void fdm_do_fast_kernel(T * __restrict__ e,
39  T * __restrict__ r,
40  T * __restrict__ s,
41  T * __restrict__ d) {
42  __shared__ T shwork[NL*NL*NL];
43  __shared__ T shwork2[NL*NL*NL];
44  __shared__ T A[NL*NL];
45  __shared__ T Bt[NL*NL];
46  __shared__ T Ct[NL*NL];
47 
48  const int idx = threadIdx.x;
49  const int str = blockDim.x;
50  const int el = blockIdx.x;
51  if( idx < NL*NL){
52  A[idx] = s[idx+NL*NL+el*NL*NL*3*2];
53  Bt[idx] = s[idx+2*NL*NL+el*NL*NL*3*2];
54  Ct[idx] = s[idx+2*2*NL*NL+el*NL*NL*3*2];
55  }
56  __syncthreads();
57 
58  for (int ii = idx; ii< NL*NL*NL; ii += str){
59  T tmp = 0.0;
60  int j = ii/NL;
61  int i = ii - j*NL;
62  for( int l = 0; l < NL; l++){
63  tmp += A[i+l*NL]*r[l+NL*j+el*NL*NL*NL];
64  }
65  shwork[ii] = tmp;
66  }
67  __syncthreads();
68  for (int ijk = idx; ijk< NL*NL*NL; ijk += str){
69  const int jk = ijk / NL;
70  const int i = ijk - jk * NL;
71  const int k = jk / NL;
72  const int j = jk - k * NL;
73  T tmp = 0.0;
74  const int ik2 = i + k*NL*NL;
75  for( int l = 0; l < NL; l++){
76  tmp += Bt[l+j*NL]*shwork[l*NL+ik2];
77  }
78  shwork2[ijk] = tmp;
79  }
80  __syncthreads();
81  for (int ijk = idx; ijk< NL*NL*NL; ijk += str){
82  const int jk = ijk / NL;
83  const int i = ijk - jk * NL;
84  const int k = jk / NL;
85  const int j = jk - k * NL;
86  T tmp = 0.0;
87  const int ij2 = i + j*NL;
88  for( int l = 0; l < NL; l++){
89  tmp += Ct[l+k*NL]*shwork2[ij2 + l*NL*NL];
90  }
91  r[ijk+el*NL*NL*NL] = tmp*d[ijk+el*NL*NL*NL];
92  }
93  __syncthreads();
94  if( idx < NL*NL){
95  A[idx] = s[idx+el*NL*NL*3*2];
96  Bt[idx] = s[idx+NL*NL+2*NL*NL+el*NL*NL*3*2];
97  Ct[idx] = s[idx+NL*NL+2*2*NL*NL+el*NL*NL*3*2];
98  }
99  __syncthreads();
100 
101  for (int ii = idx; ii< NL*NL*NL; ii += str){
102  T tmp = 0.0;
103  int j = ii/NL;
104  int i = ii - j*NL;
105  for( int l = 0; l < NL; l++){
106  tmp += A[i+l*NL]*r[l+NL*j+el*NL*NL*NL];
107  }
108  shwork[ii] = tmp;
109  }
110  __syncthreads();
111  for (int ijk = idx; ijk< NL*NL*NL; ijk += str){
112  const int jk = ijk / NL;
113  const int i = ijk - jk * NL;
114  const int k = jk / NL;
115  const int j = jk - k * NL;
116  T tmp = 0.0;
117  const int ik2 = i + k*NL*NL;
118  for( int l = 0; l < NL; l++){
119  tmp += Bt[l+j*NL]*shwork[l*NL+ik2];
120  }
121  shwork2[ijk] = tmp;
122  }
123  __syncthreads();
124  for (int ijk = idx; ijk< NL*NL*NL; ijk += str){
125  const int jk = ijk / NL;
126  const int i = ijk - jk * NL;
127  const int k = jk / NL;
128  const int j = jk - k * NL;
129  T tmp = 0.0;
130  const int ij2 = i + j*NL;
131  for( int l = 0; l < NL; l++){
132  tmp += Ct[l+k*NL]*shwork2[ij2 + l*NL*NL];
133  }
134  e[ijk+el*NL*NL*NL] = tmp;
135  }
136 
137 }
138 
139 
140 
141 #endif // __MATH_FDM_KERNEL_H__
const int i
Definition: cdtp_kernel.h:128
const int e
Definition: cdtp_kernel.h:126
const int j
Definition: cdtp_kernel.h:127
__syncthreads()
__global__ void fdm_do_fast_kernel(T *__restrict__ e, T *__restrict__ r, T *__restrict__ s, T *__restrict__ d)
Definition: fdm_kernel.h:38