FlexiWay: A cache energy saving technique using fine-grained cache reconfiguration

Sparsh Mittal, Zhao Zhang, Jeffrey S. Vetter

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

30 Scopus citations

Abstract

Recent trends of CMOS scaling and use of large last level caches (LLCs) have led to significant increase in the leakage energy consumption of LLCs and hence, managing their energy consumption has become extremely important in modern processor design. The conventional cache energy saving techniques require offline profiling or provide only coarse granularity of cache allocation. We present FlexiWay, a cache energy saving technique which uses dynamic cache reconfiguration. FlexiWay logically divides the cache sets into multiple (e.g. 16) modules and dynamically turns off suitable and possibly different number of cache ways in each module. FlexiWay has very small implementation overhead and it provides fine-grain cache allocation even with caches of typical associativity, e.g. an 8-way cache. Microarchitectural simulations have been performed using an x86-64 simulator and workloads from SPEC2006 suite. Also, FlexiWay has been compared with two conventional energy saving techniques. The results show that FlexiWay provides largest energy saving and incurs only small loss in performance. For single, dual and quad core systems, the average energy saving using FlexiWay are 26.2%, 25.7% and 22.4%, respectively.

Original languageEnglish
Title of host publication2013 IEEE 31st International Conference on Computer Design, ICCD 2013
PublisherIEEE Computer Society
Pages100-107
Number of pages8
ISBN (Print)9781479929870
DOIs
StatePublished - 2013
Event2013 IEEE 31st International Conference on Computer Design, ICCD 2013 - Asheville, NC, United States
Duration: Oct 6 2013Oct 9 2013

Publication series

Name2013 IEEE 31st International Conference on Computer Design, ICCD 2013

Conference

Conference2013 IEEE 31st International Conference on Computer Design, ICCD 2013
Country/TerritoryUnited States
CityAsheville, NC
Period10/6/1310/9/13

Keywords

  • Cache leakage energy saving
  • energy efficiency
  • green computing
  • low-power
  • way-based cache reconfiguration

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