1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
|
/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/
/******************************************************************************
* Test evaluation for software global barrier throughput
******************************************************************************/
// Ensure printing of CUDA runtime errors to console
#define CUB_STDERR
#include <stdio.h>
#include <cub/grid/grid_barrier.cuh>
#include "test_util.h"
using namespace cub;
//---------------------------------------------------------------------
// Test kernels
//---------------------------------------------------------------------
/**
* Kernel that iterates through the specified number of software global barriers
*/
__global__ void Kernel(
GridBarrier global_barrier,
int iterations)
{
for (int i = 0; i < iterations; i++)
{
global_barrier.Sync();
}
}
//---------------------------------------------------------------------
// Main
//---------------------------------------------------------------------
/**
* Main
*/
int main(int argc, char** argv)
{
cudaError_t retval = cudaSuccess;
// Defaults
int iterations = 10000;
int block_size = 128;
int grid_size = -1;
// Initialize command line
CommandLineArgs args(argc, argv);
// Get args
args.GetCmdLineArgument("i", iterations);
args.GetCmdLineArgument("grid-size", grid_size);
args.GetCmdLineArgument("block-size", block_size);
// Print usage
if (args.CheckCmdLineFlag("help"))
{
printf("%s "
"[--device=<device-id>]"
"[--i=<iterations>]"
"[--grid-size<grid-size>]"
"[--block-size<block-size>]"
"\n", argv[0]);
exit(0);
}
// Initialize device
CubDebugExit(args.DeviceInit());
// Get device ordinal
int device_ordinal;
CubDebugExit(cudaGetDevice(&device_ordinal));
// Get device SM version
int sm_version;
CubDebugExit(SmVersion(sm_version, device_ordinal));
// Get SM properties
int sm_count, max_block_threads, max_sm_occupancy;
CubDebugExit(cudaDeviceGetAttribute(&sm_count, cudaDevAttrMultiProcessorCount, device_ordinal));
CubDebugExit(cudaDeviceGetAttribute(&max_block_threads, cudaDevAttrMaxThreadsPerBlock, device_ordinal));
CubDebugExit(MaxSmOccupancy(max_sm_occupancy, EmptyKernel<void>, 32));
// Compute grid size and occupancy
int occupancy = CUB_MIN((max_block_threads / block_size), max_sm_occupancy);
if (grid_size == -1)
{
grid_size = occupancy * sm_count;
}
else
{
occupancy = grid_size / sm_count;
}
printf("Initializing software global barrier for Kernel<<<%d,%d>>> with %d occupancy\n",
grid_size, block_size, occupancy);
fflush(stdout);
// Init global barrier
GridBarrierLifetime global_barrier;
global_barrier.Setup(grid_size);
// Time kernel
GpuTimer gpu_timer;
gpu_timer.Start();
Kernel<<<grid_size, block_size>>>(global_barrier, iterations);
gpu_timer.Stop();
retval = CubDebug(cudaThreadSynchronize());
// Output timing results
float avg_elapsed = gpu_timer.ElapsedMillis() / float(iterations);
printf("%d iterations, %f total elapsed millis, %f avg elapsed millis\n",
iterations,
gpu_timer.ElapsedMillis(),
avg_elapsed);
return retval;
}
|
