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Principles Of Parallel Programming PB 26.0%OFF

Principles Of Parallel Programming PB

by Calvin Lin and Larry Snyder

  • ISBN

    :  

    9788131729526

  • Publisher

    :  

    Pearson

  • Subject

    :  

    Computer Science

  • Binding

    :  

    Paperback

  • Pages

    :  

    352

  • Year

    :  

    2009

415.0

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  • Description

    With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Written by well-known researchers Larry Snyder and Calvin Lin, this highly anticipated first edition emphasizes the principles underlying parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming. Ideal for an advanced upper-level undergraduate course, Principles of Parallel Programming supplies enduring knowledge that will outlive the current hardware and software, aiming to inspire future researchers to build tomorrow’s solutions.For Sale in Indian subcontinent onlyFeaturesA principles-first approach emphasizes the underlying concepts of parallel computation rather than taking a “how-to” approach for currently popular commercial tools. Popular programming languages are discussed in the context of these principles and the tools used for programming contemporary parallel machines. Historical Context and Historical Perspective features at the end of select chapters discuss important developments and/or research in computing history related to the chapter’s topics. Fact/Tip boxes provide interesting extensions of chapter information. Definitions boxes clearly define and isolate keywords from the main chapter narrative.ContentsIntroduction: Parallelism = Opportunities + Challenges Parallel Computers and Their Model Reasoning about Performance First Steps Towards Parallel Programming Scalable Algorithmic Techniques Programming with Threads Local View Programming Languages Global View Programming Languages Assessing Our Knowledge Future Directions in Parallel Programming Capstone Project: Designing a Parallel Program

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