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Author:

Fang, Juan (Fang, Juan.) (Scholars:方娟) | Lu, Jiajia (Lu, Jiajia.) | Cai, Min (Cai, Min.)

Indexed by:

CPCI-S Scopus

Abstract:

With DRAM memory systems power consumption growing and performance declining, memory system optimization is imperative. At present most studies focus on reducing power consumption or improving performance of DRAM chips, but rarely do both. In this paper, we propose the bank partitioning based adaptive page policy to optimize both performance and power efficiency of DRAM chips, while at the same time reduce the inter-thread interference. First, we use bank partitioning to isolate memory streams of different threads. Second, we put forward an adaptive page policy to dynamically allocate the optimal page policy for each bank. Experimental results show that our scheme improves the system performance by 20.4% on average (up to 55%) and reduces DRAM power by 8% on average (up to 29%) for all workloads.

Keyword:

multi-core memory systems adaptive page policy bank partitioning

Author Community:

  • [ 1 ] [Fang, Juan]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 2 ] [Lu, Jiajia]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 3 ] [Cai, Min]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China

Reprint Author's Address:

  • 方娟

    [Fang, Juan]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China

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Source :

14TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS, ENGINEERING AND SCIENCE (DCABES 2015)

Year: 2015

Page: 240-243

Language: English

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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