An accurate and energy-efficient way determination technique for instruction caches by using early tag matching

Eui Young Chung, Cheol Hong Kim, Sung Woo Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008
Pages190-195
Number of pages6
DOIs
Publication statusPublished - 2008
Event4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 - Hong Kong, SAR, Hong Kong
Duration: 2008 Jan 232008 Jan 25

Publication series

NameProceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008

Other

Other4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008
Country/TerritoryHong Kong
CityHong Kong, SAR
Period08/1/2308/1/25

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Electrical and Electronic Engineering

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