DocumentCode
3090264
Title
An Accurate and Energy-Efficient Way Determination Technique for Instruction Caches by Early Tab Matching
Author
Chung, Eui-Young ; Cheol Hong Kim ; Chung, Sung Woo
Author_Institution
Yonsei Univ., Seoul
fYear
2008
fDate
23-25 Jan. 2008
Firstpage
190
Lastpage
195
Abstract
This paper proposes an accurate and energy-efficient way determination (instead of prediction) technique for reducing energy consumption in the instruction cache by using early tag matching. Way prediction has been considered as one of the most efficient techniques to reduce energy consumption in the caches. The proposed scheme allows early tag matching for accurate way determination. With this feature, our scheme drastically improves the way determination accuracy compared to the previous way prediction techniques. To enable the early tag matching, the tag lookup stage is inserted prior to the fetch stage in the pipeline architecture. The tag matching is performed during the tag lookup stage, and then only one way is accessed during the fetch stage, leading to good energy efficiency. Simulation results show that the proposed technique reduces the energy consumption in the instruction cache by 55.1% on average. Moreover, our technique guarantees negligible performance degradation by overlapping two pipeline stages in case of branch misprediction.
Keywords
cache storage; instruction sets; memory architecture; pipeline processing; power aware computing; early tag matching; energy consumption reduction; energy-efficient way determination technique; instruction caches; pipeline architecture; tag lookup stage; Accuracy; Application software; Computer aided instruction; Degradation; Design engineering; Electronic equipment testing; Energy consumption; Energy efficiency; Pipelines; Power engineering and energy; Instruction cache; low power; way predictioin;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Design, Test and Applications, 2008. DELTA 2008. 4th IEEE International Symposium on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3110-6
Type
conf
DOI
10.1109/DELTA.2008.57
Filename
4459538
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