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« yifan sun »

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  • Accelerated Computing with HIP

    The goal of this book is to provide helpful guidance to GPU programmers looking to develop HIP programs for the ROCm platform using GPUs. The reader of this book will learn how to reason through real-world problems and break them down into independent parts so that GPUs can be used to solve them efficiently. This text is designed to take programmers on a tour of GPU hardware design and demonstrate ... En savoir plus

    $22.99 CAD

  • Accelerated Computing With HIP

    Second Edition

    This book is designed for programmers who wish to use GPUs to improve application performance, and it is suitable for both AMD and NVIDIA GPU programmers, as HIP is a portable language that runs on both platforms. ROCm is open sourced, allowing other GPU developers to support this platform. This book does not require knowledge of CUDA programming, however, we highlight how HIP differs from CUDA ... En savoir plus

    $18.99 CAD

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  • Systems Performance

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    Systems Performance, Second Edition, covers concepts, strategy, tools, and tuning for operating systems and applications, using Linux-based operating systems as the primary example. A deep understanding of these tools and techniques is critical for developers today. Implementing the strategies described in this thoroughly revised and updated edition can lead to a better end-user experience and ... En savoir plus

    $57.99 CAD

  • Erlang Programming

    A Concurrent Approach to Software Development

    This book is an in-depth introduction to Erlang, a programming language ideal for any situation where concurrency, fault tolerance, and fast response is essential. Erlang is gaining widespread adoption with the advent of multi-core processors and their new scalable approach to concurrency. With this guide you'll learn how to write complex concurrent programs in Erlang, regardless of your ... En savoir plus

    $35.99 CAD

  • An Introduction to Parallel Programming

    par Peter Pacheco ...
    An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with ... En savoir plus

    $55.99 CAD

  • Systems Performance

    Enterprise and the Cloud

    par Brendan Gregg ...
    The Complete Guide to Optimizing Systems PerformanceWritten by the winner of the 2013 LISA Award for Outstanding Achievement in System AdministrationLarge-scale enterprise, cloud, and virtualized computing systems have introduced serious performance challenges. Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing ... En savoir plus

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  • The Art of Concurrency

    A Thread Monkey's Guide to Writing Parallel Applications

    par Clay Breshears ...
    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 ... En savoir plus

    $32.99 CAD

  • OpenCL Programming Guide

    Collections series OpenGL
    Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even ... En savoir plus

    $57.99 CAD

  • System Performance Tuning

    Help for Unix Administrators

    System Performance Tuning answers one of the most fundamental questions you can ask about your computer: How can I get it to do more work without buying more hardware? In the current economic downturn, performance tuning takes on a new importance. It allows system administrators to make the best use of existing systems and minimize the purchase of new equipment. Well-tuned systems save money and ... En savoir plus

    $32.99 CAD

  • Programming Massively Parallel Processors

    A Hands-on Approach

    Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This ... En savoir plus

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  • OpenCL Programming by Example

    This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming.If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and informative. You will only require a good knowledge of ... En savoir plus

    $38.99 CAD ou Gratuit avec Kobo Plus

  • The Art of Writing Efficient Programs

    An advanced programmer's guide to efficient hardware utilization and compiler optimizations using C++ examples

    par Fedor G. Pikus ...
    Become a better programmer with performance improvement techniques such as concurrency, lock-free programming, atomic operations, parallelism, and memory management Key Features • Learn proven techniques from a heavyweight and recognized expert in C++ and high-performance computing • Understand the limitations of modern CPUs and their performance impact • Find out how you can avoid writing ... En savoir plus

    $39.99 CAD ou Gratuit avec Kobo Plus