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Compiler Optimizations for Scalable Parallel Systems: Languages, Compilation Techniques, and Run Time Systems
Scalable parallel systems or, more generally, distributed memory systems offer a challenging model of computing and pose fascinating problems regarding compiler optimization, ranging from language design to run time systems. Research in this area is foundational to many challenges from memory hierarchy optimizations to communication optimization.
This unique, handbook-like monograph assesses the state of the art in the area in a systematic and comprehensive way. The 21 coherent chapters by leading researchers provide complete and competent coverage of all relevant aspects of compiler optimization for scalable parallel systems. The book is divided into five parts on languages, analysis, communication optimizations, code generation, and run time systems. This book will serve as a landmark source for education, information, and reference to students, practitioners, professionals, and researchers interested in updating their knowledge about or active in parallel computing.
This unique, handbook-like monograph assesses the state of the art in the area in a systematic and comprehensive way. The 21 coherent chapters by leading researchers provide complete and competent coverage of all relevant aspects of compiler optimization for scalable parallel systems. The book is divided into five parts on languages, analysis, communication optimizations, code generation, and run time systems. This book will serve as a landmark source for education, information, and reference to students, practitioners, professionals, and researchers interested in updating their knowledge about or active in parallel computing.
812 pages, Paperback
First published June 15, 2001
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June 13, 2011
i hate the Lecture Notes in Computer Science series so very, very much :/. how do i keep getting tricked?
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reading this on cigarette breaks at work
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I had Professor Pande for CS6241 (Design of Optimizing Compilers), and hang out with him fairly regularly to discuss architecture-aware JITs, optimizing for NUMA, heterogeneous compilation and automated recognition of data structure idioms. He's a smart, smart guy. This finally came down to $25 used, so let's see how it goes.
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reading this on cigarette breaks at work
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I had Professor Pande for CS6241 (Design of Optimizing Compilers), and hang out with him fairly regularly to discuss architecture-aware JITs, optimizing for NUMA, heterogeneous compilation and automated recognition of data structure idioms. He's a smart, smart guy. This finally came down to $25 used, so let's see how it goes.
Displaying 1 of 1 review