2011, ISBN: 9781441997395
This book presents new concepts, techniques and promising programming models for designing software for chips with 'many' (hundreds to thousands) processor cores. Given the scale of paral… More...
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ISBN: 9781441997395
This book presents new concepts, techniques and promising programming models for designing software for chips with "many" (hundreds to thousands) processor cores. Given the scale of paral… More...
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2011, ISBN: 9781441997395
This book presents new concepts, techniques and promising programming models for designing software for chips with 'many' (hundreds to thousands) processor cores. Given the scale of paral… More...
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2011, ISBN: 9781441997395
eBooks, eBook Download (PDF), 2011, [PU: Springer US], Springer US, 2011
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2011, ISBN: 9781441997395
eBooks, eBook Download (PDF), 2011, [PU: Springer US], Springer US, 2011
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2011, ISBN: 9781441997395
This book presents new concepts, techniques and promising programming models for designing software for chips with 'many' (hundreds to thousands) processor cores. Given the scale of paral… More...
ISBN: 9781441997395
This book presents new concepts, techniques and promising programming models for designing software for chips with "many" (hundreds to thousands) processor cores. Given the scale of paral… More...
2011
ISBN: 9781441997395
This book presents new concepts, techniques and promising programming models for designing software for chips with 'many' (hundreds to thousands) processor cores. Given the scale of paral… More...
Bibliographic data of the best matching book
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Details of the book - Programming Many-Core Chips
EAN (ISBN-13): 9781441997395
Publishing year: 2011
Publisher: Springer US
Book in our database since 2007-12-22T04:29:37-05:00 (New York)
Detail page last modified on 2024-01-30T13:53:08-05:00 (New York)
ISBN/EAN: 9781441997395
ISBN - alternate spelling:
978-1-4419-9739-5
Alternate spelling and related search-keywords:
Book author: andras, vajda, andräß, 978 06709211607
Book title: chips, core programm
Information from Publisher
Author: András Vajda
Title: Programming Many-Core Chips
Publisher: Springer; Springer US
228 Pages
Publishing year: 2011-06-10
New York; NY; US
Language: English
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XII, 228 p.
EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Schaltkreise und Komponenten (Bauteile); Verstehen; EDA; Electronic Design Automation; Many-core; Many-core programming; Multi-core; Multi-core programming; Parallel programming; B; Electronic Circuits and Systems; Computer-Aided Engineering (CAD, CAE) and Design; Engineering; Computer-Aided Design (CAD); BB
This book presents new concepts, techniques and promising programming models for designing software for chips with "many" (hundreds to thousands) processor cores. Given the scale of parallelism inherent to these chips, software designers face new challenges in terms of operating systems, middleware and applications. This will serve as an invaluable, single-source reference to the state-of-the-art in programming many-core chips. Coverage includes many-core architectures, operating systems, middleware, and programming models.
Introduction.- Multi-core and Many-core Processor Architectures.- State of the Art Multi-core Operating Systems.- The Fundamental Laws of Parallelism.- Fundamentals of Parallel Programming.- Debugging and Performance Analysis of Many-core Programs.- Many-core Virtualization and Operating Systems.- Introduction to Programming Models.- Practical Many-core Programming.- Looking Ahead.- Index.
Provides overview of various, existing homogeneous/heterogeneous architectures, cache and memory structures, on-chip interconnects, etc. and explains why current programming models won’t scale when these architectures are scaled to meet the needs of hundreds and thousands of processor cores Analyzes emerging hardware architectures and their benefits Explains challenges and limitations faced by current operating systems and introduces novel solutions, e.g., to resource management and scheduling Explains key concepts in many-core middleware, such as shared memory vs message passing approaches, data vs computation movement, and hint-based vs application driven assignment of tasks Explores the most promising programming models, focusing on scalability Includes supplementary material: sn.pub/extras
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