Neko 0.9.99
A portable framework for high-order spectral element flow simulations
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gs.cu
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1/*
2 Copyright (c) 2021, The Neko Authors
3 All rights reserved.
4
5 Redistribution and use in source and binary forms, with or without
6 modification, are permitted provided that the following conditions
7 are met:
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9 * Redistributions of source code must retain the above copyright
10 notice, this list of conditions and the following disclaimer.
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12 * Redistributions in binary form must reproduce the above
13 copyright notice, this list of conditions and the following
14 disclaimer in the documentation and/or other materials provided
15 with the distribution.
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17 * Neither the name of the authors nor the names of its
18 contributors may be used to endorse or promote products derived
19 from this software without specific prior written permission.
20
21 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
22 "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
23 LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
24 FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
25 COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
26 INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
27 BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
28 LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
29 CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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32 POSSIBILITY OF SUCH DAMAGE.
33*/
34
35#include <climits>
36#include <cstdio>
38#include <device/cuda/check.h>
39#include "gs_kernels.h"
40
41#define GS_OP_ADD 1
42#define GS_OP_MUL 2
43#define GS_OP_MIN 3
44#define GS_OP_MAX 4
45
46extern "C" {
47
51 void cuda_gather_kernel(void *v, int *m, int *o, void *dg,
52 void *u, int *n, void *gd, int *nb,
53 void *b, void *bo, int *op,
54 cudaStream_t stream) {
55
56 if ((*m) == 0) return;
57
58 const dim3 nthrds(1024, 1, 1);
59 const dim3 nblcks(((*m)+ 1024 - 1)/ 1024, 1, 1);
60
61 switch (*op) {
62 case GS_OP_ADD:
64 <<<nblcks, nthrds, 0, stream>>>((real *) v, *m, *o, (int *) dg,
65 (real *) u, *n, (int *) gd,
66 *nb, (int *) b, (int *) bo);
68 break;
69 case GS_OP_MUL:
71 <<<nblcks, nthrds, 0, stream>>>((real *) v, *m, *o, (int *) dg,
72 (real *) u, *n, (int *) gd,
73 *nb, (int *) b, (int *) bo);
75 break;
76 case GS_OP_MIN:
78 <<<nblcks, nthrds, 0, stream>>>((real *) v, *m, *o, (int *) dg,
79 (real *) u, *n, (int *) gd,
80 *nb, (int *) b, (int *) bo);
82 break;
83 case GS_OP_MAX:
85 <<<nblcks, nthrds, 0, stream>>>((real *) v, *m, *o, (int *) dg,
86 (real *) u, *n, (int *) gd,
87 *nb, (int *) b, (int *) bo);
89 break;
90 }
91 }
92
96 void cuda_scatter_kernel(void *v, int *m, void *dg,
97 void *u, int *n, void *gd,
98 int *nb, void *b, void *bo,
99 cudaStream_t stream) {
100
101 if ((*m) == 0) return;
102
103 const dim3 nthrds(1024, 1, 1);
104 const dim3 nblcks(((*m)+1024 - 1)/ 1024, 1, 1);
105
107 <<<nblcks, nthrds, 0, stream>>>((real *) v, *m, (int *) dg,
108 (real *) u, *n, (int *) gd,
109 *nb, (int *) b, (int *) bo);
111 }
112
116 void cuda_gs_pack(void *u_d, void *buf_d, void *dof_d,
117 int offset, int n, cudaStream_t stream) {
118
119 const int nthrds = 1024;
120 const int nblcks = (n + nthrds - 1) / nthrds;
121
122 if (stream == NULL) {
124 <<<nblcks, nthrds>>>((real *) u_d, (real *) buf_d + offset,
125 (int *) dof_d + offset, n);
126 }
127 else {
129 <<<nblcks, nthrds, 0, stream>>>((real *) u_d, (real *) buf_d + offset,
130 (int *) dof_d + offset, n);
131 }
132
134 }
135
139 void cuda_gs_unpack(real *u_d, int op, real *buf_d, int *dof_d,
140 int offset, int n, cudaStream_t stream) {
141
142 const int nthrds = 1024;
143 const int nblcks = (n + nthrds - 1) / nthrds;
144
145 switch (op) {
146 case GS_OP_ADD:
147 if (stream == NULL) {
149 <<<nblcks, nthrds>>>(u_d, buf_d + offset, dof_d + offset, n);
150 }
151 else {
153 <<<nblcks, nthrds, 0, stream>>>(u_d, buf_d + offset,
154 dof_d + offset, n);
155 }
156 break;
157 default:
158 printf("%s: unknown gs op %d\n", __FILE__, op);
159 abort();
160 }
161
163 }
164}
__global__ void T *__restrict__ T *__restrict__ const T *__restrict__ u
__global__ void T *__restrict__ T *__restrict__ const T *__restrict__ const T *__restrict__ v
#define CUDA_CHECK(err)
Definition check.h:6
__global__ void dirichlet_apply_scalar_kernel(const int *__restrict__ msk, T *__restrict__ x, const T g, const int m)
double real
#define GS_OP_MAX
Definition gs.cu:44
void cuda_gs_unpack(real *u_d, int op, real *buf_d, int *dof_d, int offset, int n, cudaStream_t stream)
Definition gs.cu:139
#define GS_OP_ADD
Definition gs.cu:41
void cuda_gs_pack(void *u_d, void *buf_d, void *dof_d, int offset, int n, cudaStream_t stream)
Definition gs.cu:116
void cuda_gather_kernel(void *v, int *m, int *o, void *dg, void *u, int *n, void *gd, int *nb, void *b, void *bo, int *op, cudaStream_t stream)
Definition gs.cu:51
void cuda_scatter_kernel(void *v, int *m, void *dg, void *u, int *n, void *gd, int *nb, void *b, void *bo, cudaStream_t stream)
Definition gs.cu:96
#define GS_OP_MUL
Definition gs.cu:42
#define GS_OP_MIN
Definition gs.cu:43