Behavior-Aware cache hierarchy optimization for low-power multi-core embedded systems

Huatao Zhao, Xiao Luo, Chen Zhu, Takahiro Watanabe, Tianbo Zhu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In modern embedded systems, the increasing number of cores requires efficient cache hierarchies to ensure data throughput, but such cache hierarchies are restricted by their tumid size and interference accesses which leads to both performance degradation and wasted energy. In this paper, we firstly propose a behavior-Aware cache hierarchy (BACH) which can optimally allocate the multi-level cache resources to many cores and highly improved the efficiency of cache hierarchy, resulting in low energy consumption. The BACH takes full advantage of the explored application behaviors and runtime cache resource demands as the cache allocation bases, so that we can optimally configure the cache hierarchy to meet the runtime demand. The BACH was implemented on the GEM5 simulator. The experimental results show that energy consumption of a three-level cache hierarchy can be saved from 5.29% up to 27.94% compared with other key approaches while the performance of the multi-core system even has a slight improvement counting in hardware overhead.

Original languageEnglish
Article number1740067
JournalModern Physics Letters B
Volume31
Issue number19-21
DOIs
Publication statusPublished - 2017 Jul 30

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Keywords

  • Cache hierarchy
  • embedded system
  • low power
  • multi-core processor

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Condensed Matter Physics

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