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Engineering a Compiler, Third Edition covers the latest developments in compiler technology, with new chapters focusing on semantic elaboration (the problems that arise in generating code from the ad-hoc syntax-directed translation schemes in a generated parser), on runtime support for naming and addressability, and on code shape for expressions, assignments and control-structures. Leading educators and researchers, Keith Cooper and Linda Torczon, have revised this popular text with a fresh approach to learning important techniques for constructing a modern compiler, combining basic principles with pragmatic insights from their own experience building state-of-the-art compilers. - Presents in-depth treatments of algorithms and techniques used in the front end of a modern compiler - Pays particular attention to code optimization and code generation, both primary areas of recent research and development - Focuses on how compilers (and interpreters) implement abstraction, tying the underlying knowledge to students' own experience and to the languages in which they have been taught to program - Covers bottom-up methods of register allocation at the local scope
The Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them.
If you are a programmer, you need this book. You've got a day to add a new feature in a 34,000-line program: Where do you start? Page 333 How can you understand and simplify an inscrutable piece of code? Page 39 Where do you start when disentangling a complicated build process? Page 167 How do you comprehend code that appears to be doing five things in parallel? Page 132 You may read code because you have to--to fix it, inspect it, or improve it. You may read code the way an engineer examines a machine--to discover what makes it tick. Or you may read code because you are scavenging--looking for material to reuse. Code-reading requires its own set of skills, and the ability to determine which technique you use when is crucial. In this indispensable book, Diomidis Spinellis uses more than 600 real-world examples to show you how to identify good (and bad) code: how to read it, what to look for, and how to use this knowledge to improve your own code. Fact: If you make a habit of reading good code, you will write better code yourself.
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"This volume is the proceedings of the fifth International Symposium on Algorithms and Computation, ISAAC '94, held in Beijing, China in August 1994. The 79 papers accepted for inclusion in the volume after a careful reviewing process were selected from a total of almost 200 submissions. Besides many internationally renowned experts, a number of excellent Chinese researchers present their results to the international scientific community for the first time here. The volume covers all relevant theoretical and many applicational aspects of algorithms and computation."--PUBLISHER'S WEBSITE.