#!/usr/bin/env python # Copyright (C) 2009 by Aaron Ariel, 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 sys import re sys.path.insert(0,"Lib/site-packages/ply-3.2/ply-3.2") import ply.lex as lex import ply.yacc as yacc import variableclasses as vc def textEditorParseMe(filename): tokens = ['FILENAME', 'NUMBERSEQUENCE'] def t_FILENAME(t): r'[a-zA-Z_/.][a-zA-Z0-9_/.]*\.ptx' return t def t_NUMBERSEQUENCE(t): r'[0-9 :]+' return t t_ignore = '\t: ' def t_newline(t): r'\n+' t.lexer.lineno += t.value.count("\n") def t_error(t): print "Illegal character '%s'" % t.value[0] t.lexer.skip(1) lex.lex() count = [] latency = [] organized = {} def p_sentence(p): '''sentence : FILENAME NUMBERSEQUENCE''' tmp1 = [] tmp = p[2].split(':') for x in tmp: x = x.strip() tmp1.append(x) organized[int(tmp1[0])] = tmp1[1].split(' ') def p_error(p): if p: print("Syntax error at '%s'" % p.value) print p else: print("Syntax error at EOF") yacc.yacc() 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:] else: yacc.parse(line[0:-1]) return organized def ptxToCudaMapping(filename): map = {} file = open(filename, 'r') bool = 0 count = 0 loc = 0 while file: line = file.readline() if not line: break try: map[loc].append(count) except: map[loc] = [] map[loc].append(count) m = re.search('\.loc\s+(\d+)\s+(\d+)\s+(\d+)', line) if (m != None): loc = int(m.group(2)) count += 1 x = map.keys() return map #Unit test / playground def main(): data = textEditorParseMe(sys.argv[1]) print data[100] if __name__ == "__main__": main()