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Generalpurpose Graphics Processor Architectures Aamodt Tor M Fung

  • SKU: BELL-7188426
Generalpurpose Graphics Processor Architectures Aamodt Tor M Fung
$ 31.00 $ 45.00 (-31%)

4.3

18 reviews

Generalpurpose Graphics Processor Architectures Aamodt Tor M Fung instant download after payment.

Publisher: Morgan & Claypool Publishers
File Extension: PDF
File size: 1.37 MB
Pages: 122
Author: Aamodt, Tor M.; Fung, Wilson Wai Lun; Rogers, Timothy G.
ISBN: 9781627056182, 1627056181
Language: English
Year: 2018

Product desciption

Generalpurpose Graphics Processor Architectures Aamodt Tor M Fung by Aamodt, Tor M.; Fung, Wilson Wai Lun; Rogers, Timothy G. 9781627056182, 1627056181 instant download after payment.

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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