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authorTor Aamodt <[email protected]>2010-07-15 18:09:46 -0800
committerTor Aamodt <[email protected]>2010-07-15 18:09:46 -0800
commit69f2911e04ffb1b19eef1fafb8c040af271f656e (patch)
tree231d3b6bdc3a202f7c255bfcf7bf2c36e32cee9e /bin
creating branch for adding support for CUDA 3.x and Fermi
[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 6829]
Diffstat (limited to 'bin')
-rwxr-xr-xbin/aerialvision.py85
1 files changed, 85 insertions, 0 deletions
diff --git a/bin/aerialvision.py b/bin/aerialvision.py
new file mode 100755
index 0000000..a5b02f0
--- /dev/null
+++ b/bin/aerialvision.py
@@ -0,0 +1,85 @@
+#!/usr/bin/python
+#
+# File: aerialvision.py
+#
+# Copyright (C) 2009 by Aaron Ariel, Tor M. Aamodt, Andrew Turner
+# 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 sys
+import os
+
+if not os.environ['HOME']:
+ print 'please set your HOME environment variable to your home directory'
+ sys.exit
+if not os.environ['GPGPUSIM_ROOT']:
+ print 'please set your GPGPUSIM_ROOT environment variable to your home directory'
+ sys.exit
+
+sys.path.append( os.environ['GPGPUSIM_ROOT'] + '/aerialvision/' )
+
+import Tkinter as Tk
+import Pmw
+import startup
+import time
+
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
+from matplotlib.figure import Figure
+
+startup.fileInput(sys.argv[1:])