Reuse locality aware cache partitioning for last-level cache. (March 2019)

• Record Type: Journal Article
• Authors: Shen, Fanfan; He, Yanxiang; Zhang, Jun; Li, Qingan; Li, Jianhua; Xu, Chao
• Is Part Of: Computers & electrical engineering. Volume 74(2019)
• Page Start: 319
• Page End: 330
• Publication Date: 2019-03
• Subjects: Reuse locality -- Cache partitioning -- Set sampling -- Last level cache; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2019.01.020
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: Cache partitioning is a promising technique to improve cache management mechanism. To explore the advantages of cache partitioning, most existing schemes either consider performance improvement or address energy reduction. These techniques focus on specific application domain or single optimization goal, which limit their extensive use. To address these issues, this paper proposesR euse lO cality awareC ache pA rtitioning scheme (ROCA) to reserve more high reuse locality blocks in the last level cache. ROCA uses a reuse locality reservation algorithm to maintain the cache fraction. Meanwhile, reuse locality guided block placement policy is proposed to further improve cache efficiency. Evaluation results show that the proposed technique improves energy efficiency as well as system performance with reduced hardware cost, compared to the state-of-the-art approach.