Multicore Computing Algorithms Architectures (10 results)
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Multicore Computing : Algorithms, Architectures, and Applications
Rajasekaran, Sanguthevar (EDT); Fiondella, Lance (EDT); Ahmed, Mohamed (EDT); Ammar, Reda A. (EDT)
- Hardcover
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Multicore Computing : Algorithms, Architectures, and Applications
Rajasekaran, Sanguthevar (EDT); Fiondella, Lance (EDT); Ahmed, Mohamed (EDT); Ammar, Reda A. (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Multicore Computing : Algorithms, Architectures, and Applications
Rajasekaran, Sanguthevar (EDT); Fiondella, Lance (EDT); Ahmed, Mohamed (EDT); Ammar, Reda A. (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Multicore Computing: Algorithms, Architectures, and Applications: 29 (Chapman & Hall/CRC Computer and Information Science Series)
Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Multicore Computing : Algorithms, Architectures, and Applications
Rajasekaran, Sanguthevar (EDT); Fiondella, Lance (EDT); Ahmed, Mohamed (EDT); Ammar, Reda A. (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 286.86
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Neuware - Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addr…esses this issue and has become affordable with the advent of multicore architectures. However, programming multicore machines is much more difficult due to oddities existing in the architectures.Offering insights into different facets of this area, Multicore Computing: Algorithms, Architectures, and Applications focuses on the architectures, algorithms, and applications of multicore computing. It will help readers understand the intricacies of these architectures and prepare them to design efficient multicore algorithms. Contributors at the forefront of the field cover the memory hierarchy for multicore and manycore processors, the caching strategy Flexible Set Balancing, the main features of the latest SPARC architecture specification, the Cilk and Cilk++ programming languages, the numerical software library Parallel Linear Algebra Software for Multicore Architectures (PLASMA), and the exact multipattern string matching algorithm of Aho-Corasick. They also describe the architecture and programming model of the NVIDIA Tesla GPU, discuss scheduling directed acyclic graphs onto multi/manycore processors, and evaluate design trade-offs among Intel and AMD multicore processors, IBM Cell Broadband Engine, and NVIDIA GPUs. In addition, the book explains how to design algorithms for the Cell Broadband Engine and how to use the backprojection algorithm for generating images from synthetic aperture radar data.
- Hardcover
Seller: preigu, Osnabrück, Germanypreigu
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Buch. Condition: Neu. Multicore Computing | Algorithms, Architectures, and Applications | Lance Fiondella (u. a.) | Buch | Chapman & Hall/CRC Computer and Information Science Series | Einband - fest (Hardcover) | Englisch | 2013 | Taylor & Francis Inc | EAN 9781439854341 | Verantwortliche Person für die EU: Libri GmbH, Europaall…ee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 81.82
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book helps to find: Concurrency in a program - how to help programmers 'think parallel' Scheduling tasks at the right granularity onto the processors of a parallel machine. The data locality problem: associating data with tasks and…doing it in a way that our target audience will be able to use correctly. Scalability support in hardware: bandwidth and latencies to memory plus interconnects between processing elements. Scalability support in software: libraries, scalable algorithms, and adaptive run times to map high level software onto platform details. Synchronization constructs (and protocols) that enable programmers write programs free from deadlock and race conditions. Tools, API's and methodologies to support the debugging process. Error recovery and support for fault tolerance. Support for good software engineering practices: compos ability, incremental parallelism, and code reuse. Support for portable performance. What are the right models (or abstractions) so programmers can write code once and expect it to execute well on the important parallel platforms.
