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Compiler Optimizations for Scalable Parallel Systems: Languages, Compilation Techniques, and Run Time Systems (Lecture Notes in Computer Science) [Paperback]

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Item description for Compiler Optimizations for Scalable Parallel Systems: Languages, Compilation Techniques, and Run Time Systems (Lecture Notes in Computer Science) by Santosh Pande...

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.



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Item Specifications...


Pages   779
Est. Packaging Dimensions:   Length: 9.1" Width: 6.1" Height: 1.3"
Weight:   2.45 lbs.
Binding  Softcover
Release Date   Jun 15, 2001
Publisher   Springer
ISBN  3540419454  
ISBN13  9783540419457  


Availability  104 units.
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Product Categories

1Books > Calendars > Computers
2Books > Special Features > New & Used Textbooks > Computer Science & Information Systems > Networking
3Books > Subjects > Computers & Internet > Databases > Distributed Databases
4Books > Subjects > Computers & Internet > General
5Books > Subjects > Computers & Internet > Hardware > System Architecture > Parallel Computing
6Books > Subjects > Computers & Internet > Networking > Networks, Protocols & API's > General
7Books > Subjects > Computers & Internet > Programming > Algorithms > General
8Books > Subjects > Computers & Internet > Programming > Languages & Tools > Compiler Design
9Books > Subjects > Computers & Internet > Programming > Languages & Tools > Compilers
10Books > Subjects > Computers & Internet > Programming > Software Design > Performance Optimization
11Books > Subjects > Medicine > General



Reviews - What do customers think about Compiler Optimizations for Scalable Parallel Systems: Languages, Compilation Techniques, and Run Time Systems (Lecture Notes in Computer Science)?

For advanced researchers and developers  Jun 8, 2007
This is an outstanding summary of research (as of 2001 or so) in leading techniques for compiler optimization in performance computing. There's not much here for the typical software developer, even those who write applications compiled for massively parallel systems. Most compiler writers won't find much of immediate use either - if you haven't mastered Optimizing Compilers for Modern Architectures and Parallel Programming With MPI, you're in for a rough ride. These techniques all apply to parallel systems, with hundreds to hundreds of thousands of processors acting together. And laugh if you want: many of these researchers address the needs of Fortran programmers. Anyone who laughs at Fortran just doesn't understand the performance computing market or the recent advances in that venerable language.

If you're deep into compiler development on that class of machine (or something similar enough) this collection presents 21 chapters, a bit under 800 pages, of cutting edge analysis and algorithms. Topics cover every level, from the micro-level checking of dependencies between one array element and another in a looped computation, up to macro-level OS level constructs for distributing and synchronizing coarse-grained tasks.

Even specialists will find only a few chapters that address their immediate needs. Specialists at this level, however, are used to that. Commercial gold mines today yield one gram of gold per tonne of useless tailings. The ratio is better in this case, but even readers with the greatest interest will skip parts of this goldmine of information. Still, if this is your area of interest, you may well find something of value. Highly recommended to the right reader.

-- wiredweird
 
Perfect  Feb 1, 2002
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.
 

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