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 language | English |
|---|---|
| Title of host publication | Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 |
| Pages | 190-195 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 - Hong Kong, SAR, Hong Kong Duration: 2008 Jan 23 → 2008 Jan 25 |
Publication series
| Name | Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 |
|---|
Other
| Other | 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong, SAR |
| Period | 08/1/23 → 08/1/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Electrical and Electronic Engineering
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