DocumentCode
842321
Title
Techniques for Leakage Energy Reduction in Deep Submicrometer Cache Memories
Author
Frustaci, Fabio ; Corsonello, Pasquale ; Perri, Stefania ; Cocorullo, Giuseppe
Author_Institution
Dept. of Electron., Comput. Sci., & Syst., Univ. della Calabria, Rende
Volume
14
Issue
11
fYear
2006
Firstpage
1238
Lastpage
1249
Abstract
The techniques known in literature for the design of SRAM structures with low standby leakage typically exploit an additional operation mode, named the sleep mode or the standby mode. In this paper, existing low leakage SRAM structures are analyzed by several SPEC2000 benchmarks. As expected, the examined SRAM architectures have static power consumption lower than the conventional 6-T SRAM cell. However, the additional activities performed to enter and to exit the sleep mode also lead to higher dynamic energy. Our study demonstrates that, due to this, the overall energy consumption achieved by the known low-leakage techniques is greater than the conventional approach. In the second part of this paper, a novel low-leakage SRAM cell is presented. The proposed structure establishes when to enter and to exit the sleep mode, on the basis of the data stored in it, without introducing time and energy penalties with respect to the conventional 6-T cell. The new SRAM structure was realized using the UMC 0.18-mum, 1.8-V, and the ST 90-nm 1-V CMOS technologies. Tests performed with a set of SPEC2000 benchmarks have shown that the proposed approach is actually energy efficient
Keywords
CMOS memory circuits; SRAM chips; cache storage; low-power electronics; 0.18 micron; 1 V; 1.8 V; 90 nm; CMOS memory integrated circuits; SPEC2000 benchmarks; SRAM structures; deep submicrometer cache memory; leakage energy reduction; low leakage SRAM; low-power memory; Benchmark testing; CMOS technology; Cache memory; Energy consumption; Integrated circuit technology; Performance evaluation; Power dissipation; Random access memory; Subthreshold current; Threshold voltage; CMOS memory integrated circuits; Cache memories; low-power memories;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2006.886397
Filename
4019460
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