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.
This book provides the foundation for understanding the theory and pracitce of compilers. Revised and updated, it reflects the current state of compilation. Every chapter has been completely revised to reflect developments in software engineering, programming languages, and computer architecture that have occurred since 1986, when the last edition published. The authors, recognizing that few readers will ever go on to construct a compiler, retain their focus on the broader set of problems faced in software design and software development. Computer scientists, developers, and aspiring students that want to learn how to build, maintain, and execute a compiler for a major programming language.
Insanely abstruse and convoluted. Reads like something written to deliberately confuse readers. Not to mention you have to flip the book nonstop for formulas/figures dozens of pages earlier.(It doesn't even have a pdf version!!!) Coupled with a prof who tal...
评分大学的时候没有学过这门功课。前一段时间项目需要,咬牙看了近两百页,对编译原理有了个初步的认识,项目也得以顺利进行。这本书虽然翻译的有些地方不尽如人意,但是还是非常值得一读的。我在读的时候感觉就像在一座金山里面诱惑不断,但不能不承认,这本书读起来真费劲。。。
评分大学里面的课本,大多数都是一个稍微浓缩了的编译原理讲解,老师基本上还是要看看这本红龙书才敢讲课的。 如果说这本书有什么优点,那么可以这么说,很多编译原理的书都有很多错误,这些错误是因为他们的算法和这本书的不太一样。有些取了捷径。不是说算法不对,而是没有讲明...
评分Insanely abstruse and convoluted. Reads like something written to deliberately confuse readers. Not to mention you have to flip the book nonstop for formulas/figures dozens of pages earlier.(It doesn't even have a pdf version!!!) Coupled with a prof who tal...
评分书本身的内容无可挑剔,特别是后面讲优化的时候让人叹为观止.对于编译优化给出了一些不失新颖性的详细实现方法.但是翻译水平实在不行,把这么好的一本书翻译的没法看,特别是KMP算法那里说来说去不知所云,造成了非常不好的阅读体验.作为出版社来说,把这么经典,这么重要的一本书交...
我发现要把一个东西做出来总有办法,但要做的很优雅就永远离我有那么点距离
评分经典dragon book!!
评分没看完
评分只看了几页...
评分不系统读了,仅作参考用
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