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
|
#!/usr/bin/env python
# Copyright (C) 2009 by Wilson W. L. Fung
# and the University of British Columbia, Vancouver,
# BC V6T 1Z4, All Rights Reserved.
#
# THIS IS A LEGAL DOCUMENT BY DOWNLOADING GPGPU-SIM, YOU ARE AGREEING TO THESE
# TERMS AND CONDITIONS.
#
# 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 THE COPYRIGHT OWNERS OR CONTRIBUTORS 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.
#
# NOTE: The files libcuda/cuda_runtime_api.c and src/cuda-sim/cuda-math.h
# are derived from the CUDA Toolset available from http://www.nvidia.com/cuda
# (property of NVIDIA). The files benchmarks/BlackScholes/ and
# benchmarks/template/ are derived from the CUDA SDK available from
# http://www.nvidia.com/cuda (also property of NVIDIA). The files from
# src/intersim/ are derived from Booksim (a simulator provided with the
# textbook "Principles and Practices of Interconnection Networks" available
# from http://cva.stanford.edu/books/ppin/). As such, those files are bound by
# the corresponding legal terms and conditions set forth separately (original
# copyright notices are left in files from these sources and where we have
# modified a file our copyright notice appears before the original copyright
# notice).
#
# Using this version of GPGPU-Sim requires a complete installation of CUDA
# which is distributed seperately by NVIDIA under separate terms and
# conditions. To use this version of GPGPU-Sim with OpenCL requires a
# recent version of NVIDIA's drivers which support OpenCL.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. 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.
#
# 3. Neither the name of the University of British Columbia nor the names of
# its contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# 4. This version of GPGPU-SIM is distributed freely for non-commercial use only.
#
# 5. No nonprofit user may place any restrictions on the use of this software,
# including as modified by the user, by any other authorized user.
#
# 6. GPGPU-SIM was developed primarily by Tor M. Aamodt, Wilson W. L. Fung,
# Ali Bakhoda, George L. Yuan, at the University of British Columbia,
# Vancouver, BC V6T 1Z4
import configparser, os
userSettingPath = os.path.join(os.environ['HOME'], '.gpgpu_sim', 'aerialvision')
# Globally available configuration options for AerialVision
class AerialVisionConfig:
def __init__(self):
self.config = configparser.SafeConfigParser()
self.config.read( os.path.join(userSettingPath, 'config.rc') )
def print_all(self):
for section in self.config.sections():
for option in self.config.options(section):
value = self.config.get(section, option)
print("\t%s.%s = %s" % (section, option, value));
def get_value(self, section, option, default):
if (self.config.has_option(section, option)):
return self.config.get(section, option)
else:
return default
# This is the object containing all the options
avconfig = AerialVisionConfig()
#Unit test / configviewer
def main():
print("AerialVision Options:")
avconfig.print_all()
print("");
if __name__ == "__main__":
main()
|