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  • GPU Computing Gems Jade Editionby Wen-mei W. Hwu

    Elsevier Science 2011; US$ 74.95

    Offers hands-on, proven techniques for general purpose GPU programming from leading researchers and developers One of few resources available that distills the best practices of the community of CUDA programmers; each chapter provides students and professionals with insights and ideas as well as ?hands on? skills Material applicable and of interest... more...

  • GPU Computing Gems Emerald Editionby Wen-mei W. Hwu

    Elsevier Science 2011; US$ 74.95

    A snapshot of the state of GPU computing in ten critical domains, edited by Wen-mei W. Hwu with experts from NVIDIA Corporation and instructors from leading GPU programs worldwide Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution. Offers insights and ideas as well... more...

  • Programming Massively Parallel Processorsby David B. Kirk; Wen-mei W. Hwu

    Elsevier Science 2012; US$ 74.95

    Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends... more...

  • Programming Massively Parallel Processorsby David B. Kirk; Wen-mei W. Hwu

    Elsevier Science 2010; US$ 69.95

    Kirk addresses one of the biggest educational challenges in Computer Science - parallel programming. Over the course of the last 5 years, the field has shifted towards a ?parallel? environment. There is an incredible need to teach students parallel programming for multi-core processors, since modern microprocessors are no longer exclusively single-core.... more...

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