General-purpose graphics processor architectures /
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
[San Rafael, California] :
Morgan & Claypool,
2018.
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| Series: | Synthesis digital library of engineering and computer science.
Synthesis lectures in computer architecture ; # 44. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book (PDF) |
| Abstract: | 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. |
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| Item Description: | Part of: Synthesis digital library of engineering and computer science. |
| Physical Description: | 1 online resource (xvii, 122 pages) : illustrations. Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references (pages 103-119). |
| ISBN: | 9781627056182 |
| ISSN: | 1935-3243 ; |
| DOI: | 10.2200/S00848ED1V01Y201804CAC044 |
| Access: | Abstract freely available; full-text restricted to subscribers or individual document purchasers. |