Neko 1.99.1
A portable framework for high-order spectral element flow simulations
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gs_kernels.h
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34
35#ifndef __GS_GS_KERNELS__
36#define __GS_GS_KERNELS__
37
42template< typename T >
44 const int m,
45 const int o,
46 const int * __restrict__ dg,
47 const T * __restrict__ u,
48 const int n,
49 const int * __restrict__ gd,
50 const int nb,
51 const int * __restrict__ b,
52 const int * __restrict__ bo) {
53
54 const int idx = blockIdx.x * blockDim.x + threadIdx.x;
55 const int str = blockDim.x * gridDim.x;
56
57 for (int i = idx; i < nb; i += str) {
58 const int blk_len = b[i];
59 const int k = bo[i];
60 T tmp = u[gd[k] - 1];
61 for (int j = 1; j < blk_len; j++) {
62 tmp += u[gd[k + j] - 1];
63 }
64 v[dg[k] - 1] = tmp;
65 }
66
67 if (o < 0) {
68 for (int i = ((abs(o) - 1) + idx); i < m ; i += str) {
69 v[dg[i] - 1] = u[gd[i] - 1];
70 }
71 }
72 else {
73 if ((idx%2 == 0)) {
74 for (int i = ((o - 1) + idx); i < m ; i += str) {
75 T tmp = u[gd[i] - 1] + u[gd[i+1] - 1];
76 v[dg[i] - 1] = tmp;
77 }
78 }
79 }
80
81}
82
87template< typename T >
89 const int m,
90 const int o,
91 const int * __restrict__ dg,
92 const T * __restrict__ u,
93 const int n,
94 const int * __restrict__ gd,
95 const int nb,
96 const int * __restrict__ b,
97 const int * __restrict__ bo) {
98
99 const int idx = blockIdx.x * blockDim.x + threadIdx.x;
100 const int str = blockDim.x * gridDim.x;
101
102 for (int i = idx; i < nb; i += str) {
103 const int blk_len = b[i];
104 const int k = bo[i];
105 T tmp = u[gd[k] - 1];
106 for (int j = 1; j < blk_len; j++) {
107 tmp *= u[gd[k + j] - 1];
108 }
109 v[dg[k] - 1] = tmp;
110 }
111
112 if (o < 0) {
113 for (int i = ((abs(o) - 1) + idx); i < m ; i += str) {
114 v[dg[i] - 1] = u[gd[i] - 1];
115 }
116 }
117 else {
118 if ((idx%2 == 0)) {
119 for (int i = ((o - 1) + idx); i < m ; i += str) {
120 T tmp = u[gd[i] - 1] * u[gd[i+1] - 1];
121 v[dg[i] - 1] = tmp;
122 }
123 }
124 }
125
126}
127
132template< typename T >
134 const int m,
135 const int o,
136 const int * __restrict__ dg,
137 const T * __restrict__ u,
138 const int n,
139 const int * __restrict__ gd,
140 const int nb,
141 const int *__restrict__ b,
142 const int *__restrict__ bo) {
143
144 const int idx = blockIdx.x * blockDim.x + threadIdx.x;
145 const int str = blockDim.x * gridDim.x;
146
147 for (int i = idx; i < nb; i += str) {
148 const int blk_len = b[i];
149 const int k = bo[i];
150 T tmp = u[gd[k] - 1];
151 for (int j = 1; j < blk_len; j++) {
152 tmp = min(u[gd[k + j] - 1], tmp);
153 }
154 v[dg[k] - 1] = tmp;
155 }
156
157 if (o < 0) {
158 for (int i = ((abs(o) - 1) + idx); i < m ; i += str) {
159 v[dg[i] - 1] = u[gd[i] - 1];
160 }
161 }
162 else {
163 if ((idx%2 == 0)) {
164 for (int i = ((o - 1) + idx); i < m ; i += str) {
165 T tmp = min(u[gd[i] - 1], u[gd[i+1] - 1]);
166 v[dg[i] - 1] = tmp;
167 }
168 }
169 }
170
171}
172
177template< typename T >
179 const int m,
180 const int o,
181 const int * __restrict__ dg,
182 const T * __restrict__ u,
183 const int n,
184 const int * __restrict__ gd,
185 const int nb,
186 const int *__restrict__ b,
187 const int *__restrict__ bo) {
188
189 const int idx = blockIdx.x * blockDim.x + threadIdx.x;
190 const int str = blockDim.x * gridDim.x;
191
192 for (int i = idx; i < nb; i += str) {
193 const int blk_len = b[i];
194 const int k = bo[i];
195 T tmp = u[gd[k] - 1];
196 for (int j = 1; j < blk_len; j++) {
197 tmp = max(u[gd[k + j] - 1], tmp);
198 }
199 v[dg[k] - 1] = tmp;
200 }
201
202 if (o < 0) {
203 for (int i = ((abs(o) - 1) + idx); i < m ; i += str) {
204 v[dg[i] - 1] = u[gd[i] - 1];
205 }
206 }
207 else {
208 if ((idx%2 == 0)) {
209 for (int i = ((o - 1) + idx); i < m ; i += str) {
210 T tmp = max(u[gd[i] - 1], u[gd[i+1] - 1]);
211 v[dg[i] - 1] = tmp;
212 }
213 }
214 }
215
216}
217
222template< typename T >
224 const int m,
225 const int * __restrict__ dg,
226 T * __restrict__ u,
227 const int n,
228 const int * __restrict__ gd,
229 const int nb,
230 const int *__restrict__ b,
231 const int *__restrict__ bo) {
232
233 const int idx = blockIdx.x * blockDim.x + threadIdx.x;
234 const int str = blockDim.x * gridDim.x;
235
236 for (int i = idx; i < nb; i += str) {
237 const int blk_len = b[i];
238 const int k = bo[i];
239 T tmp = v[dg[k] - 1];
240 for (int j = 0; j < blk_len; j++) {
241 u[gd[k + j] - 1] = tmp;
242 }
243 }
244 int facet_offset = 0;
245 if ( nb > 0) {
246 facet_offset = bo[nb - 1] + b[nb - 1];
247 }
248
249 for (int i = (facet_offset + idx); i < m; i += str) {
250 u[gd[i] - 1] = v[dg[i] - 1];
251 }
252
253}
254
255template< typename T >
258 const int32_t * __restrict__ dof,
259 const int n) {
260
261 const int j = threadIdx.x + blockDim.x * blockIdx.x;
262
263 if (j >= n)
264 return;
265
266 buf[j] = u[dof[j]-1];
267}
268
269
270template< typename T >
272 const T * __restrict__ buf,
273 const int32_t * __restrict__ dof,
274 const int n) {
275
276 const int j = threadIdx.x + blockDim.x * blockIdx.x;
277
278 if (j >= n)
279 return;
280
281 const int32_t idx = dof[j];
282 const T val = buf[j];
283 if (idx < 0) {
284#if __CUDA_ARCH__ >= 600
285 atomicAdd(&u[-idx-1], val);
286#endif
287 } else {
288 u[idx-1] += val;
289 }
290}
291
292template<typename T>
294
295template<>
297 float old;
300
301 return old;
302}
303
304template<>
306 double old;
307#if __CUDA_ARCH__ >= 600
308 old = !signbit(val) ? __longlong_as_double(atomicMin((unsigned long long*)address,
310 __longlong_as_double(atomicMax((unsigned long long*)address,
312#endif
313 return old;
314}
315
316template< typename T >
318 const T * __restrict__ buf,
319 const int32_t * __restrict__ dof,
320 const int n) {
321
322 const int j = threadIdx.x + blockDim.x * blockIdx.x;
323
324 if (j >= n)
325 return;
326
327 const int32_t idx = dof[j];
328 const T val = buf[j];
329
330 if (idx < 0) {
331 // Use atomicMin for shared nodal points
332 atomicMinFloat(&u[-idx-1], val);
333 } else {
334 // Directly compute min for nodal points on edges
335 u[idx-1] = min(u[idx-1], val);
336 }
337}
338
339template<typename T>
341
342template<>
344 float old;
347 return old;
348}
349
350template<>
352 double old;
353#if __CUDA_ARCH__ >= 600
354 old = !signbit(val) ? __longlong_as_double(atomicMax((unsigned long long*)address,
356 __longlong_as_double(atomicMin((unsigned long long*)address,
358#endif
359 return old;
360}
361
362template< typename T >
364 const T * __restrict__ buf,
365 const int32_t * __restrict__ dof,
366 const int n) {
367
368 const int j = threadIdx.x + blockDim.x * blockIdx.x;
369
370 if (j >= n)
371 return;
372
373 const int32_t idx = dof[j];
374 const T val = buf[j];
375
376 if (idx < 0) {
377 // Use atomicMax for shared nodal points
378 atomicMaxFloat(&u[-idx-1], val);
379 } else {
380 // Directly compute min for nodal points on edges
381 u[idx-1] = max(u[idx-1], val);
382 }
383}
384
385#endif // __GS_GS_KERNELS__
const int i
__global__ void T *__restrict__ T *__restrict__ const T *__restrict__ u
__global__ void T *__restrict__ T *__restrict__ const T *__restrict__ const T *__restrict__ v
const int j
__global__ void dirichlet_apply_scalar_kernel(const int *__restrict__ msk, T *__restrict__ x, const T g, const int m)
__device__ T atomicMaxFloat(T *address, T val)
__global__ void gs_unpack_max_kernel(T *__restrict__ u, const T *__restrict__ buf, const int32_t *__restrict__ dof, const int n)
Definition gs_kernels.h:363
__global__ void gather_kernel_min(T *__restrict__ v, const int m, const int o, const int *__restrict__ dg, const T *__restrict__ u, const int n, const int *__restrict__ gd, const int nb, const int *__restrict__ b, const int *__restrict__ bo)
Definition gs_kernels.h:133
__global__ void scatter_kernel(T *__restrict__ v, const int m, const int *__restrict__ dg, T *__restrict__ u, const int n, const int *__restrict__ gd, const int nb, const int *__restrict__ b, const int *__restrict__ bo)
Definition gs_kernels.h:223
__global__ void gather_kernel_mul(T *__restrict__ v, const int m, const int o, const int *__restrict__ dg, const T *__restrict__ u, const int n, const int *__restrict__ gd, const int nb, const int *__restrict__ b, const int *__restrict__ bo)
Definition gs_kernels.h:88
__device__ T atomicMinFloat(T *address, T val)
__global__ void gs_pack_kernel(const T *__restrict__ u, T *__restrict__ buf, const int32_t *__restrict__ dof, const int n)
Definition gs_kernels.h:256
__global__ void gs_unpack_min_kernel(T *__restrict__ u, const T *__restrict__ buf, const int32_t *__restrict__ dof, const int n)
Definition gs_kernels.h:317
__global__ void gather_kernel_add(T *__restrict__ v, const int m, const int o, const int *__restrict__ dg, const T *__restrict__ u, const int n, const int *__restrict__ gd, const int nb, const int *__restrict__ b, const int *__restrict__ bo)
Definition gs_kernels.h:43
__device__ double atomicMaxFloat< double >(double *address, double val)
Definition gs_kernels.h:351
__device__ float atomicMaxFloat< float >(float *address, float val)
Definition gs_kernels.h:343
__global__ void gs_unpack_add_kernel(T *__restrict__ u, const T *__restrict__ buf, const int32_t *__restrict__ dof, const int n)
Definition gs_kernels.h:271
__global__ void gather_kernel_max(T *__restrict__ v, const int m, const int o, const int *__restrict__ dg, const T *__restrict__ u, const int n, const int *__restrict__ gd, const int nb, const int *__restrict__ b, const int *__restrict__ bo)
Definition gs_kernels.h:178
__device__ float atomicMinFloat< float >(float *address, float val)
Definition gs_kernels.h:296
__device__ double atomicMinFloat< double >(double *address, double val)
Definition gs_kernels.h:305
real * buf
Definition pipecg_aux.cu:42
#define max(a, b)
Definition tensor.cu:40