NDLI: Low static-power frequent-value data caches

Content Provider	IEEE Xplore Digital Library
Author	Chuanjun Zhang Jun Yang Vahid, F.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Univ. of California, San Diego, CA, USA (Chuanjun Zhang)
Abstract	Static energy dissipation in cache memories will constitute an increasingly larger portion of total microprocessor energy dissipation due to nanoscale technology characteristics and the large size of on-chip caches. We propose to reduce the static energy dissipation of an on-chip data cache by taking advantage of the frequent values (FV) that widely exist in a data cache memory. The original FV-based low-power cache design aimed at only reducing dynamic power, at the cost of a 5% slowdown. We propose a better design that reduces both static and dynamic cache power, and that uses a circuit design that eliminates performance overhead. A designer can utilize our architecture by simulating an application and then synthesizing the FVs into an application-specific cache design when values will not change, or by simulating and then writing to an FV-cache with configuration registers when values could change. Furthermore, we describe hardware that can dynamically determine FVs and write to the configuration registers completely transparently. Experiments on 11 Spec 2000 benchmarks show that, in addition to the dynamic power savings, 33% static energy savings for data caches can be achieved.
Sponsorship	EDAA, EDA Consortium, IEEE Comput. Soc. TTTC IEEE Comput. Soc. DATC ECSI ACM/SIGDA RAS
Starting Page	214
Ending Page	219
File Size	263068
Page Count	6
File Format	PDF
ISBN	0769520855
ISSN	15301591
DOI	10.1109/DATE.2004.1268851
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-02-16
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy dissipation Cache memory Circuit synthesis Costs Circuit simulation Registers Energy consumption Computer science Power engineering and energy Embedded computing
Content Type	Text
Resource Type	Article

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