Kaynağa Gözat

report to 80 char limit.

Jayke Meijer 14 yıl önce
ebeveyn
işleme
1ab45a983f
1 değiştirilmiş dosya ile 21 ekleme ve 7 silme
  1. 21 7
      report/report.tex

+ 21 - 7
report/report.tex

@@ -11,19 +11,33 @@
 \usepackage{hyperref}
 
 \title{Peephole Optimizer}
-\author{Jayke Meijer (6049885), Richard Torenvliet (6138861), Taddeus Kroes (6054129)}
+\author{Jayke Meijer (6049885), Richard Torenvliet (6138861), Taddeus Kroes
+    (6054129)}
 
 \begin{document}
 \maketitle
 
 \section{Introduction}
-The goal of the assignment is to implement the optimization stage of the compiler. To reach this goal the parser part of the compiler has to be implemented.
-
-The output of the gcc cross compiler on a c program is our input, the output of the gcc cross compiler is in the form of Assembly code, but not optimized. Our assignment includes a number of c programs, an important part of the assignment is parsing the data. Parsing the data is done with lex and yacc. The lexer is a program that finds keywords that meets the regular expression provided in the lexer. After the lexer, the yaccer takes over. Yaccer can turn the keywords in to an action.
+The goal of the assignment is to implement the optimization stage of the
+compiler. To reach this goal the parser part of the compiler has to be
+implemented.
+
+The output of the gcc cross compiler on a c program is our input, the output of
+the gcc cross compiler is in the form of Assembly code, but not optimized. Our
+assignment includes a number of c programs, an important part of the assignment
+is parsing the data. Parsing the data is done with lex and yacc. The lexer is a
+program that finds keywords that meets the regular expression provided in the
+lexer. After the lexer, the yaccer takes over. Yaccer can turn the keywords in
+to an action.
 
 \section{Design \& Implementation}
-We decided to implement the optimization in python. We chose this programming language because python is an easy language to manipulate strings, work objective ori\"ented etc.
-It turns out that a lex and yacc are also implemented in a python version, named PLY(Python Lex-Yacc). This allows us to use one language, Python, instead of two i.e. C and Python. Also no debugging is needed in C, only in Python which makes our assignment more feasible.
+We decided to implement the optimization in python. We chose this programming
+language because python is an easy language to manipulate strings, work
+objective ori\"ented etc.
+It turns out that a lex and yacc are also implemented in a python version,
+named PLY(Python Lex-Yacc). This allows us to use one language, Python, instead
+of two i.e. C and Python. Also no debugging is needed in C, only in Python
+which makes our assignment more feasible.
 
 \subsection{Design}
 
@@ -46,4 +60,4 @@ This
 \subsection*{clinpack.c}
 
 \section{conclusion}
-\end{document}
+\end{document}