Compilers: Principles, Techniques and Tools Paperback – 22 Sep 2006
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About the Author
Alfred V. Aho is Lawrence Gussman Professor of Computer Science at Columbia University. Professor Aho has won several awards including the Great Teacher Award for 2003 from the Society of Columbia Graduates and the IEEE John von Neumann Medal. He is a member of the National Academy of Engineering and a fellow of the ACM and IEEE.
Monica S. Lam is a Professor of Computer Science at Stanford University, was the Chief Scientist at Tensilica and the founding CEO of moka5. She led the SUIF project which produced one of the most popular research compilers, and pioneered numerous compiler techniques used in industry.
Ravi Sethi launched the research organization in Avaya and is president of Avaya Labs. Previously, he was a senior vice president at Bell Labs in Murray Hill and chief technical officer for communications software at Lucent Technologies. He has held teaching positions at the Pennsylvania State University and the University of Arizona, and has taught at Princeton University and Rutgers. He is a fellow of the ACM.
Jeffrey Ullman is CEO of Gradiance and a Stanford W. Ascherman Professor of Computer Science at Stanford University. His research interests include database theory, database integration, data mining, and education using the information infrastructure. He is a member of the National Academy of Engineering, a fellow of the ACM, and winner of the Karlstrom Award and Knuth Prize.
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Most Helpful Customer Reviews on Amazon.com (beta)
My first tip is to read the book more than once. With this in mind, it is useful to do your first reading in segments (i.e. not every page of the book). My tip is to follow the example lesson plan provided in the front of the book. It will direct you to chapters that would be used in a Compiler class. Once you have done this lesson plan, you can re-read the book from start to finish to get those extra details hidden within.
If you try to read this book in its entirety on your first try--intending to successfully grasp all of its contents--this will be difficult. My recommendations above will help those out there that want to learn about this technology, but haven't had experience with compilers before to read this book in a way that lets you absorb the great amount of information.
Other than the reading approach, a good mathematical background (algebra II and above) is recommended for grasping some of the concepts mentioned within. Also, a basic knowledge of common Computer Science concepts (binary, assembly, stack, etc.) as well as a familiarity with using compilers and multiple programming languages is very useful.
Although the book may seem overwhelming at times, with careful consideration and time spent following these guidelines, it can be done. I'm only 15 years old and have started embedding some of these concepts into my applications.
Good luck to all who read this book and happy programming!