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  • If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models or distributed-memory architectures. The book provides detailed explanations and usable samples to help you transform algorithms from serial to parallel code, along with advice and analysis for avoiding mistakes that programmers typically make when first attempting these computations.

    Written by an Intel engineer with over two decades of parallel and concurrent programming experience, this book will help you

    • Understand parallelism and concurrency
    • Explore differences between programming for shared-memory and distributed-memory
    • Learn guidelines for designing multithreaded applications, including testing and tuning
    • Discover how to make best use of different threading libraries, including Windows threads, POSIX threads, OpenMP, and Intel Threading Building Blocks
    • Explore how to implement concurrent algorithms that involve sorting, searching, graphs, and other practical computations

    The Art of Concurrency shows you how to keep algorithms scalable to take advantage of new processors with even more cores. For developing parallel code algorithms for concurrent programming, this book is a must.


    ebook,Clay Breshears,The Art of Concurrency A Thread Monkey's Guide to Writing Parallel Applications,O'Reilly Media,Programming Languages - C++,C Visual C,C; C++; concurrency; concurrent; multicore; parallelism; pthreads; threads,C;C++;concurrency;concurrent;multicore;parallelism;pthreads;threads,COMPUTER,COMPUTERS / Programming / General,COMPUTERS / Programming / Parallel,COMPUTERS / Programming Languages / C++,COMPUTERS / Software Development Engineering / General,Computer Applications,Computer Books General,Computer programming.,Computer/General,Computers,Computers - Languages / Programming,Computers/Software Development Engineering - General,How-to/Do-it-yourself,Non-Fiction,PARALLEL PROCESSING,Parallel programming (Computer science),Programming - Parallel,Programming Languages - C++,SOFTWARE DEVELOPMENT,Software Development Engineering - General,Software engineering,United States,Vocational/Technical,COM051000,COM051220,COMPUTERS / Programming / General,COMPUTERS / Programming / Parallel,COMPUTERS / Programming Languages / C++,COMPUTERS / Software Development Engineering / General,Computers/Software Development Engineering - General,Programming - Parallel,Software Development Engineering - General,Computers - Languages / Programming,Parallel Processing,Software Development,Computers,Computer Books General,C Visual C,Software engineering

    The Art of Concurrency A Thread Monkey Guide to Writing Parallel Applications 1 Clay Breshears eBook Reviews :



    If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models or distributed-memory architectures. The book provides detailed explanations and usable samples to help you transform algorithms from serial to parallel code, along with advice and analysis for avoiding mistakes that programmers typically make when first attempting these computations.

    Written by an Intel engineer with over two decades of parallel and concurrent programming experience, this book will help you

    • Understand parallelism and concurrency
    • Explore differences between programming for shared-memory and distributed-memory
    • Learn guidelines for designing multithreaded applications, including testing and tuning
    • Discover how to make best use of different threading libraries, including Windows threads, POSIX threads, OpenMP, and Intel Threading Building Blocks
    • Explore how to implement concurrent algorithms that involve sorting, searching, graphs, and other practical computations

    The Art of Concurrency shows you how to keep algorithms scalable to take advantage of new processors with even more cores. For developing parallel code algorithms for concurrent programming, this book is a must.

    ebook,Clay Breshears,The Art of Concurrency A Thread Monkey's Guide to Writing Parallel Applications,O'Reilly Media,Programming Languages - C++,C Visual C,C; C++; concurrency; concurrent; multicore; parallelism; pthreads; threads,C;C++;concurrency;concurrent;multicore;parallelism;pthreads;threads,COMPUTER,COMPUTERS / Programming / General,COMPUTERS / Programming / Parallel,COMPUTERS / Programming Languages / C++,COMPUTERS / Software Development Engineering / General,Computer Applications,Computer Books General,Computer programming.,Computer/General,Computers,Computers - Languages / Programming,Computers/Software Development Engineering - General,How-to/Do-it-yourself,Non-Fiction,PARALLEL PROCESSING,Parallel programming (Computer science),Programming - Parallel,Programming Languages - C++,SOFTWARE DEVELOPMENT,Software Development Engineering - General,Software engineering,United States,Vocational/Technical,COM051000,COM051220,COMPUTERS / Programming / General,COMPUTERS / Programming / Parallel,COMPUTERS / Programming Languages / C++,COMPUTERS / Software Development Engineering / General,Computers/Software Development Engineering - General,Programming - Parallel,Software Development Engineering - General,Computers - Languages / Programming,Parallel Processing,Software Development,Computers,Computer Books General,C Visual C,Software engineering

    The Art of Concurrency A Thread Monkey's Guide to Writing Parallel Applications - edition by Clay Breshears. Download it once and read it on your device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading The Art of Concurrency A Thread Monkey's Guide to Writing Parallel Applications.


     

    Product details

    • File Size 5133 KB
    • Print Length 304 pages
    • Simultaneous Device Usage Unlimited
    • Publisher O'Reilly Media; 1 edition (May 7, 2009)
    • Publication Date May 7, 2009
    • Language English
    • ASIN B002L4EXD8
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