Customizable Computing

Customizable Computing

Yu-Ting Chen, Jason Cong, Michael Gill, Glenn Reinman, Bingjun Xiao
ISBN: 9781627057677 | PDF ISBN: 9781627057684
Copyright © 2015 | 118 Pages | Publication Date: July, 2015

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Since the end of Dennard scaling in the early 2000s, improving the energy efficiency of computation has been the main concern of the research community and industry. The large energy efficiency gap between general-purpose processors and application-specific integrated circuits (ASICs) motivates the exploration of customizable architectures, where one can adapt the architecture to the workload. In this book, we present an overview and introduction of the recent developments on energy-efficient customizable architectures, including customizable cores and accelerators, on-chip memory customization, and interconnect optimization. In addition to a discussion of the general techniques and classification of different approaches used in each area, we also highlight and illustrate some of the most successful design examples in each category and discuss their impact on performance and energy efficiency. We hope that this work captures the state-of-the-art research and development on customizable architectures and serves as a useful reference basis for further research, design, and implementation for large-scale deployment in future computing systems.

Table of Contents

Road Map
Customization of Cores
Loosely Coupled Compute Engines
On-Chip Memory Customization
Interconnect Customization
Concluding Remarks
Authors' Biographies

About the Author(s)

Yu-Ting Chen, University of California, Los Angeles

Jason Cong, University of California, Los Angeles

Michael Gill, University of California, Los Angeles

Glenn Reinman, University of California, Los Angeles

Bingjun Xiao, University of California, Los Angeles


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