On 3/9/07, Vladimir N. Makarov <[EMAIL PROTECTED]> wrote:
o Muchnik book is a fat one. Muchnick's book is rather encyclopedia of optimizations and can be considered as collection of articles with many details (sometimes too many). But some themes (like RA and scheduling) are described not deep.
Muchnick is also famous for its >150 A4 pages of errata, especially the 1st and 2nd print. I really wouldn't recommend it to you unless you're looking for a compiler algorithms cook book.
o Robert Morgan. Building an Optimizing compiler.
This is my favorite book. If you've read the Dragon book and this one, you're well under way to being a compiler expert. I agree with Vlad about the contents of the book, but it is the only fairly comprehensive introduction text I know of that deals with LCM and SSA at a level that even I can understand ;-)
o Appel. Modern Compiler implementation in C/Java/ML. Another good book to start to study compilers from parser to code generation and basic optimizations. I especially like the version in ML (Modern compiler implementation in ML).
The version in ML is the best of the three. The other two look too much like "had to do this"-books where algorithms are translated from ML, which makes them look very unnatural in C/Java.
o Aho/Lam/Sethi/Ulman. Compilers: Principles, Techniques, and Tools. 2nd edition. Personally I don't like it because it is based on outdated (although classical) book. I attached a review of this book which I wrote more than year ago (when the book was not ready).
This one is old, but it is a classic. The 1st edition should be on every compiler engineer's book shelf, just because. I have never seen the 2nd edition myself. Grune et. al. "Modern Compiler Design" is another good introduction text, especially if you're interested in various parsing techniques. Gr. Steven
