creating branch for adding support for CUDA 3.x and Fermi

[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 6829]

1 files changed, 213 insertions, 0 deletions

diff --git a/aerialvision/variableclasses.py b/aerialvision/variableclasses.py
new file mode 100644
index 0000000..cf24c29
--- /dev/null
+++ b/aerialvision/variableclasses.py
@@ -0,0 +1,213 @@
+#!/usr/bin/env python
+
+# Copyright (C) 2009 by Aaron Ariel
+# 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
+
+
+class variable:
+   
+    # normal constructor used by internal types
+    def __init__(self, lookup_tag, type, bool, organize = 'custom', datatype = int):
+        self.data = []
+        self.lookup_tag = lookup_tag  # the stat name in the log file (can be different from the GUI)
+        self.type = type          # plot type 
+        self.bool = bool          # wheither to expect reset at the end of a kernel
+        self.organize = organize  # how is the data organize in the log, see organizedata.py for options
+        self.datatype = datatype  # int or float or other custom type?
+
+    # import the stat variable setting from a string in variables.txt or a custom header
+    def importFromString(self, string_spec):
+        data_type_str = {'int':int, 'float':float}
+        plot_type_str = {'scalar': 1, 'vector': 2, 'stackedbar': 3, 'vector2d': 4}
+        organize_str = {'scalar': 'scalar', 'implicit': 'impVec', 'index': 'idxVec', 'index2d': 'idx2DVec'} #skip custom
+
+        try:
+            # initialize new stat variable with info from input string
+            self.data = []
+            self.lookup_tag = ''
+            spec = [token.strip().lower() for token in string_spec.split(",")]
+            self.lookup_tag = spec[0]
+            self.type = plot_type_str[spec[1]]
+            self.bool = int(spec[2])
+            self.organize = organize_str[spec[3]]
+            self.datatype = data_type_str[spec[4]]
+           
+            # guard against bogus entries
+            if (self.type == 1):
+                assert(self.organize == 'scalar')
+            elif (self.type == 2):
+                assert(self.organize in ['impVec', 'idxVec'])
+            elif (self.type == 3):
+                assert(self.organize in ['impVec', 'idxVec'])
+            elif (self.type == 4):
+                assert(self.organize == 'idx2DVec')
+        except Exception, (e):
+            print "Error in creating new stat variable from string: %s" % string_spec
+            raise e
+        
+
+class bookmark:
+
+    def __init__(self):
+        self.title = ""
+        self.fileChosen = []
+        self.dataChosenX = []
+        self.dataChosenY = []
+        self.graphChosen = []
+        self.dydx = []
+        self.description = ""
+
+global lineStatName
+lineStatName = ['count', 'latency', 'dram_traffic', 'smem_bk_conflicts', 'smem_warp', 
+                'gmem_access_generated', 'gmem_warp', 'exposed_latency', 'warp_divergence', 
+                'warp_issued']
+
+def loadLineStatName(filename):
+    global lineStatName
+    file = open(filename, 'r')
+    while file:
+        line = file.readline()
+        if not line : break
+        if (line.startswith('kernel line :')) :
+            line = line.strip()
+            ptxLineStatName = line.split(' ')
+            ptxLineStatName = ptxLineStatName[3:]
+            lineStatName = ptxLineStatName
+            break
+
+
+class cudaLineNo:
+
+    debug = 0
+    
+    def __init__(self, ptxLines, ptxStats):
+        self.stats = {}
+        self.ptxLines = ptxLines
+        for statName in lineStatName:
+            self.stats[statName] = []
+
+        #Filling up count appropriately
+        for iter in ptxStats:
+            for statID in range(0, len(iter)):
+                if (iter[statID] != "Null"):
+                    self.stats[lineStatName[statID]].append(int(iter[statID]))
+               
+    def sum(self,key):
+        sum = 0
+        for iter in self.stats[key]:
+            sum += int(iter)    
+        return sum
+    
+    def takeMax(self,key):
+        try:
+            tmp = max(self.stats[key])
+        except:
+            tmp = 0
+            if cudaLineNo.debug:
+                print 'Exception in cudaLineNo.takeMax()', self.stats[key]
+        return tmp
+        
+    def takeRatioSums(self, key1,key2):
+        tmp1 = float(self.sum(key1))
+        tmp2 = float(self.sum(key2))
+
+        try:
+            return tmp1/tmp2
+        except:
+            if cudaLineNo.debug:
+                print tmp1, tmp2
+            if tmp2 == 0 and cudaLineNo.debug:
+                print 'infinite'
+            return 0
+    
+        
+
+class ptxLineNo:
+
+    debug = 0
+
+    def __init__(self, ptxStats):
+        self.stats = {}
+
+        for statID in range(0, len(ptxStats)):
+            self.stats[lineStatName[statID]] = int(ptxStats[statID])
+
+    def returnStat(self, key):
+        return self.stats[key]
+        
+    def returnRatio(self, key1, key2):
+        tmp1 = float(self.stats[key1])
+        tmp2 = float(self.stats[key2])
+        try:
+            return tmp1/tmp2
+        except:
+            if tmp2 == 0 and ptxLineNo.debug:
+                print 'infinite'
+            return 0
+            
+    
+
+
+    
+    
+    
+    
+    
+