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001 u372290
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007 cr nn 008mamaa
008 110609s2011 xxu| s |||| 0|eng d
020 _a9781441997395
_9978-1-4419-9739-5
040 _cMX-MeUAM
050 4 _aTK7888.4
082 0 4 _a621.3815
_223
100 1 _aVajda, András.
_eauthor.
245 1 0 _aProgramming Many-Core Chips
_h[recurso electrónico] /
_cby András Vajda.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2011.
300 _aXII, 228 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 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.
520 _aBased on current technology trends, in the near future programmers will have to program chips with hundreds or even thousands of processor cores (called many-core chips).  Given the scale of parallelism inherent to these chips, software designers face new challenges in terms of operating systems, middleware and applications.  This book will serve as an invaluable, single-source reference to the state-of-the-art in the research and practical programming of many-core chips. It presents new concepts, techniques and programming models for dealing with the challenges posed by many-core chips. Coverage includes many-core hardware architectures, present and future operating systems design, middleware design, and the most promising programming models. Provides overview of various, existing homogeneous/heterogeneous processor architectures 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 in dealing with scalability issues; Explains challenges and limitations faced by current operating systems and introduces novel solutions, e.g., to resource management and scheduling, illustrated through leading- edge, new operating systems designs; Explains basic concepts of parallel programming and the laws governing the scalability of applications; Explains and compares key concepts in the design of software for massively parallel systems, such as shared memory vs. message passing approaches, data vs. computation movement, as well as several emerging techniques; Explores the most promising programming models for many-core processors, focusing on scalability, such as the task-based model and the actor model; Surveys and compares the currently available programming frameworks, such as OpenMP, Threading Building Blocks and the Erlang language such as many other libraries and programming languages.      
650 0 _aEngineering.
650 0 _aComputer aided design.
650 0 _aSystems engineering.
650 1 4 _aEngineering.
650 2 4 _aCircuits and Systems.
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441997388
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-9739-5
596 _a19
942 _cLIBRO_ELEC
999 _c200170
_d200170