Compilers: Principles, Techniques, and Tools[1] is a computer science textbook by Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman about compiler construction for programming languages. First published in 1986, it is widely regarded as the classic definitive compiler technology text.[2]
The first edition (1986) is informally called the "red dragon book" to distinguish it from the second edition[5] and from Aho & Ullman's 1977 Principles of Compiler Design sometimes known as the "green dragon book".[5]Topics covered in the first edition include:
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This is a course for those who are interested in the design and practice ofprogramming languages. If you want to learn how to design and implementyour own programming language, then take this course. Every computingdevice built today needs a compiler. It enables us to use a high-levelprogramming language like C or Java by translating programs into low-levelmachine code. Understanding how compilers work is essential if you want tobe a good programmer. The study of compilers also includes interestingideas in translation and optimization with sparse resources. As part ofthe course, the carefully designed assignments will allow students toimplement a working compiler using standard compiler tools.
Michael L. Scott. Programming Language PragmaticsMorgan Kaufmann, 2006. Second Edition. A broad-minded book about languages in general, but has less onpractical details of compiler construction.
Andrew W. Appel. Modern Compiler Implementation in ML. Cambridge University Press, 1998. The opposite of Scott: focuses on compiler construction, not languagedesign issues.It uses the functional language ML, which is closely related to O'Caml,but just different enough to be annoying.
Steven S. Muchnick Advanced Compiler Design and Implementation. Morgan Kaufmann, 1997. A very extensive book on many aspects of compiler design. Startsabout halfway through Appel and goes much farther. Recommended forserious compiler hackers only.
The focus of 4115 is the design and implementation of a little language. You will divide into teams and design the goals, syntax, and semantics of your language, and implement a compiler for your language.
The rise of GNU/Linux made the GNU compiler tool chain even more common, and that includes the GNU version of make. As just one example, the Linux kernel itself relies heavily on extensions provided by GNU make, as documented in Chapter 11 of this book.
Issue 3, Design Patterns are to object-oriented programming what joseki is to Go - how the experts handle a situation. A Google search on "Strategy Design Pattern" yields lots of results (though I don't know how many are helpful). There are several design patterns books as well. Basically in Strategy, the different algorithms are implemented as method overloads in subclasses. You pick an algorithm by picking a subclass. I'm not saying your way doesn't work - just that the experts do it differently.
Bildstein: Yeah, I know what design patterns are, but I've never consciously used one (although in practice I'm sure I have plenty of times). I did actually do a Google search as you suggested (but I figured I'd leave my post here anyway because I was interested in what you had to say), and the impression that I got was that the Strategy design pattern was about representing a particular solution to a problem (i.e. a strategy for solving the problem) as an object, and perhaps classes of solutions as classes (I'm not entirely sure). It seems like a good idea. Perhaps I should read a book about design patterns.
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