General-purpose graphics processor a...
Aamodt, Tor M.,

 

  • General-purpose graphics processor architectures /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 006.6869
    書名/作者: General-purpose graphics processor architectures // Tor M. Aamodt, Wilson Wai Lun Fung, Timothy G. Rogers.
    作者: Aamodt, Tor M.,
    其他作者: Fung, Wilson Wai Lun,
    出版者: [San Rafael, California] : : Morgan & Claypool,, 2018.
    面頁冊數: 1 PDF (xvii, 122 pages) : : illustrations.
    附註: Part of: Synthesis digital library of engineering and computer science.
    標題: Graphics processing units.
    標題: Computer architecture.
    ISBN: 9781627056182
    書目註: Includes bibliographical references (pages 103-119).
    內容註: 1. Introduction -- 1.1 The landscape of computation accelerators -- 1.2 GPU hardware basics -- 1.3 A brief history of GPUs -- 1.4 Book outline --
    摘要、提要註: Originally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of cryptographic currencies. GPUs can achieve improved performance and efficiency versus central processing units (CPUs) by dedicating a larger fraction of hardware resources to computation. In addition, their general-purpose programmability makes contemporary GPUs appealing to software developers in comparison to domain-specific accelerators. This book provides an introduction to those interested in studying the architecture of GPUs that support general-purpose computing. It collects together information currently only found among a wide range of disparate sources. The authors led development of the GPGPU-Sim simulator widely used in academic research on GPU architectures. The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of their history. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book. Chapter 3 explores the architecture of GPU compute cores. Chapter 4 explores the architecture of the GPU memory system. After describing the architecture of existing systems, Chapters 3 and 4 provide an overview of related research. Chapter 5 summarizes cross-cutting research impacting both the compute core and memory system. This book should provide a valuable resource for those wishing to understand the architecture of graphics processor units (GPUs) used for acceleration of general-purpose applications and to those who want to obtain an introduction to the rapidly growing body of research exploring how to improve the architecture of these GPUs.
    電子資源: https://ieeexplore.ieee.org/servlet/opac?bknumber=8363085
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