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Compiler Optimizations for Scalable Parallel Systems  - Languages, Compilation Techniques, and Run Time Systems
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Compiler Optimizations for Scalable Parallel Systems

Languages, Compilation Techniques, and Run Time Systems

2001 - Erschienen 2001.

Gebrauchs- und Lagerspuren. Hinweis: Abweichendes Cover. 200477/203
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Run Time Systems, Distributed Memory Systems, optimization, Parallelization, Program Optimization, Scalable Parallel Systems, Scala, compiler, High-Performance Computing, Parallel Computing, Compiler Optimization, Parallel Algorithms,

Produktart:
📚 Bücher
Autor(en):
Pande, Santosh und Dharma P. Agrawal:
Anbieter:
Buchpark GmbH
Bestell-Nr.:
200477203
Katalog:
Varia
ISBN | EAN:
3540419454 | 9783540419457
Stichworte:
Time, Systems, Distributed, Memory, optimization, Parallelization, Program, Optimization, Scalable, Parallel, Scala, compiler, High-Performance, Computing, Compiler, Algorithms
Zahlungsarten:
Vorauskasse, PayPal
Gebraucht, gut 25,39 EUR 22,85 EUR Kostenloser Versand
Sonderaktion: 10% Rabatt bis 05.11.2026
Compiler Optimizations for Scalable Parallel Systems  - Languages, Compilation Techniques, and Run Time Systems
Compiler Optimizations for Scalable Parallel…
Gebraucht, gut
25,39 EUR 22,85 EUR
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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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