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THE CONTEXT OF PARALLEL PROCESSING The field of digital computer ISBN ; Digitally watermarked, DRM-free; Included format: PDF can be used on all reading devices; Immediate eBook download after purchase. programming models and the evolving application mix of parallel computing is reflected in . Since the release of the text "Introduction to Parallel Computing: .. down the tasks into smaller and smaller units, thus lengthening the pipeline. concern in recent years,[2] parallel computing has become the dominant . One class of algorithms, known as lock-free and wait-free algorithms, . generally came to an end with the introduction of bit processors, which.

Not in United States? Choose your country's store to see books available for purchase. See if you have enough points for this item. Sign in. The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable of performing computations in parallel allow computers to tackle ever larger problems in a wide variety of applications.

The Practice of Parallel Programming. Toggle navigation FreeTechBooks. Parallel Computing The simultaneous execution of the same task split up and specially adapted on multiple processors in order to obtain results faster. All categories Follow Books under this sub-category 11 books. Designing and Building Parallel Programs Post date: Addison-Wesley Publication date: High Performance Computing Post date: Connexions Publication date: Creative Commons Attribution 3.

Israel Koren. Algorithms and Parallel Computing. Fayez Gebali. Distributed Algorithms for Message-Passing Systems.

Michel Raynal. Communication Networking. Anurag Kumar. How to Think About Algorithms. Jeff Edmonds. Microprocessor Architecture. Jean-Loup Baer. Yosi Ben-Asher. Parallel Programming. Thomas Rauber. Queuing Theory and Telecommunications. Giovanni Giambene. Numerical Computations with GPUs.

Volodymyr Kindratenko.

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Guy Gogniat. Thomas Herault.

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Patrick R. Distributed Graph Algorithms for Computer Networks. Kayhan Erciyes. Frank Nielsen.

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Patterns for Parallel Programming. Timothy G. Concurrent Programming: Algorithms, Principles, and Foundations. Structured Peer-to-Peer Systems. Dmitry Korzun. Network Hardening. Massimiliano Albanese.

Parallel Computer Organization and Design. Murali Annavaram.

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Larysa Titarenko. Interconnection Networks. Jose Duato. Modern Cryptography Primer. Computer Architecture: A Minimalist Perspective. William F. Languages and Compilers for Parallel Computing. Xipeng Shen.

Introduction to Parallel Computing, Second Edition

Wen-mei W. Cryptographic Engineering.

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Cetin Kaya Koc. Raspberry Pi: Jason Scotts.

Building Microservices. Sam Newman. Krzysztof Walkowiak. Up and Running. Kelsey Hightower. Chen Ding.

Introduction to Parallel Computing.

Building Evolutionary Architectures. Neal Ford. Infrastructure as Code. Kief Morris. Gaspare A. Buy Softcover. FAQ Policy. Show all. Table of contents 24 chapters Table of contents 24 chapters Introduction to Parallelism Pages A Taste of Parallel Algorithms Pages Parallel Algorithm Complexity Pages Models of Parallel Processing Pages More Shared-memory Algorithms Pages Sorting and Selection Networks Pages Other Circuit-Level Examples Pages Sorting on a 2D Mesh or Torus Pages Routing on a 2D Mesh or Torus Pages Numerical 2D Mesh Algorithms Pages

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