General-purpose Graphics Processor Architectures (Synthesis Lectures on Computer Architecture)
Tor M Aamodt, Wilson Wai Lun Fung, Timothy G Rogers
- 出版商: Morgan & Claypool
- 出版日期: 2018-05-21
- 售價: $2,200
- 貴賓價: 9.5 折 $2,090
- 語言: 英文
- 頁數: 140
- 裝訂: Paperback
- ISBN: 1627059237
- ISBN-13: 9781627059237 銷售排行: 🥉 2024/5 英文書 銷售排行 第 3 名
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商品描述
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 \ref{ch03} and \ref{ch04} 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.
商品描述(中文翻譯)
最初開發用於支援視頻遊戲的圖形處理器單元(GPU),現在越來越多地用於一般用途(非圖形)應用,從機器學習到加密貨幣的挖掘。通過將更大比例的硬件資源專用於計算,GPU可以實現更高的性能和效率,相比之下,它們的通用可編程性使當代GPU對軟件開發人員更具吸引力,相比於特定領域的加速器。本書為對支援通用計算的GPU架構感興趣的讀者提供了一個介紹。它匯集了目前僅在各種不同來源中找到的信息。作者領導了廣泛應用於GPU架構學術研究的GPGPU-Sim模擬器的開發。
本書的第一章描述了GPU的基本硬件結構,並簡要介紹了它們的歷史。第二章總結了與本書其餘部分相關的GPU編程模型。第三章探討了GPU計算核心的架構。第四章探討了GPU內存系統的架構。在描述現有系統的架構之後,第五章提供了一個概述相關研究。第六章總結了對計算核心和內存系統都有影響的交叉研究。
本書將為希望了解用於加速通用應用程序的圖形處理器單元(GPU)的架構以及希望獲得對如何改進這些GPU的架構的快速增長的研究的介紹的讀者提供寶貴的資源。