Leak stopper: An actively revitalized snoop filter architecture with effective generation control

Yin Chi Peng, Chien Chih Chen, Hsiang Jen Tsai, Keng Hao Yang, Pei Zhe Huang, Shih Chieh Chang, Wen Ben Jone, Tien-Fu Chen

Research output: Contribution to journalArticlepeer-review

Abstract

To alleviate high energy dissipation of unnecessary snooping accesses, snoop filters have been designed to reduce snoop lookups. These filters have the problem of decreasing filtering efficiency, and thus usually rely on partial or whole filter reset by detecting block evictions. Unfortunately, the reset conditions occur infrequently or unevenly (called passive filter deletion). This work proposes the concept of revitalized snoop filter (RSF) design, which can actively renew the destination filter by employing a generation wrappingaround scheme for various reference behaviors. We further utilize a sampling mechanism for RSF to timely trigger precise filter revitalizations, so that unnecessary RSF flushing can be minimized. The proposed RSF can be integrated to various existent inclusive snoop filters with only a minor change to their designs. We evaluate our proposed design and demonstrate that RSF eliminates 58.6% of snoop energy compared to JETTY on average while inducing only 6.5% of revitalization energy overhead. In addition, RSF eliminates 45.5% of snoop energy compared to stream registers on average and only induces 2.5% of revitalization energy overhead. Overall, these RSFs reduce the total L2 cache energy consumption by 52.1% (58.6% - 6.5%) as compared to JETTY and by 43% (45.5% - 2.5%) as compared to stream registers. Furthermore, RSF improves the overall performance by 1% to 1.4% on average compared to JETTY and stream registers for various benchmark suites.

Original languageEnglish
Article number46
JournalACM Transactions on Design Automation of Electronic Systems
Volume22
Issue number3
DOIs
StatePublished - 1 Mar 2017

Keywords

  • Cache storage
  • Computer architecture
  • Filters
  • Memory architecture

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