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General-Purpose Graphics Processor Architecture, Paperback / softback Book

General-Purpose Graphics Processor Architecture Paperback / softback

Part of the Synthesis Lectures on Computer Architecture series

Paperback / softback

Description

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.

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