General-Purpose Graphics Processor Architectures / by Tor M. Aamodt, Wilson Wai Lun Fung, Timothy G. Rogers.

Format:

Book

Author/Creator:

Aamodt, Tor M., Author.

Fung, Wilson Wai Lun., Author.

Rogers, Timothy G., Author.

Series:

Synthesis Lectures on Computer Architecture, 1935-3243

Language:

English

Subjects (All):

Electronic circuits.

Microprocessors.

Computer architecture.

Electronic Circuits and Systems.

Processor Architectures.

Local Subjects:

Electronic Circuits and Systems.

Processor Architectures.

Physical Description:

1 online resource (XVIII, 122 p.)

Edition:

1st ed. 2018.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

Summary:

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.

Contents:

Preface

Acknowledgments

Introduction

Programming Model

The SIMT Core: Instruction and Register Data Flow

Memory System

Crosscutting Research on GPU Computing Architectures

Bibliography

Authors' Biographies.

ISBN:

9783031017599

3031017595