A Survey of Encoding Techniques for Reducing Data-Movement Energy

Mittal, Sparsh and Nag, Subhrajit (2018) A Survey of Encoding Techniques for Reducing Data-Movement Energy. Journal of Systems Architecture. ISSN 1383-7621 (In Press)

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Abstract

n modern processors, data-movement consumes two orders of magnitude higher energy than a floating-point operation and hence, data-movement is becoming the primary bottleneck in scaling the performance of modern processors within the fixed power budget. Intelligent data-encoding techniques hold the promise of reducing the data-movement energy. In this paper, we present a survey of encoding techniques for reducing data-movement energy. By classifying the works on key metrics, we bring out their similarities and differences. This paper is expected to be useful for computer architects, processor designers and researchers in the area of interconnect and memory system design.

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IITH Creators:	IITH Creators ORCiD Mittal, Sparsh http://orcid.org/0000-0002-2908-993X
Item Type:	Article
Uncontrolled Keywords:	Data movement, Encoding technique, Energy saving, Sparse code, Limited weight coding, Value locality, Value prediction
Subjects:	Computer science
Divisions:	Department of Computer Science & Engineering
Depositing User:	Team Library
Date Deposited:	12 Nov 2018 11:32
Last Modified:	12 Nov 2018 11:32
URI:	http://raiithold.iith.ac.in/id/eprint/4528
Publisher URL:	http://doi.org/10.1016/j.sysarc.2018.11.001
OA policy:	http://www.sherpa.ac.uk/romeo/issn/1383-7621/
Related URLs:	Google Scholar

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