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Author:

Fang, Juan (Fang, Juan.) (Scholars:方娟) | Du, Wenjuan (Du, Wenjuan.) | Guo, Mei (Guo, Mei.) | Lei, Ding (Lei, Ding.) | Chen, Tan (Chen, Tan.)

Indexed by:

EI Scopus

Abstract:

This paper proposed a low-power-oriented cache design (LPD) for L2 cache of multi-core processors. We developed two methods to lower cache power consumption: LPHP (low power-oriented hybrid cache partition algorithm) and WPP-L2 (way-prediction based on a cache partition algorithm). The LPD considers these two different ways to reduce power consumption meanwhile to produce the best possible cache performance. In LPHP, we closed the columns that are not in use. In WPP-L2, we predicted an appropriate way before cache access that can reduce the access time to save power. Experiments show that LPHP can reduce power consumption by 23.7% and WPP-L2 can reduce 17.2% on average. In comparison with the traditional LRU strategy, these algorithms have little effect on the cache performance and sometimes improve the throughput. © 2015, by Binary Information Press

Keyword:

Algorithms Microprocessor chips Electric power supplies to apparatus Cache memory Electric power utilization Integrated circuit design

Author Community:

  • [ 1 ] [Fang, Juan]College of Computer Science, Beijing University of Technology, Beijing, China
  • [ 2 ] [Du, Wenjuan]College of Computer Science, Beijing University of Technology, Beijing, China
  • [ 3 ] [Guo, Mei]College of Computer Science, Beijing University of Technology, Beijing, China
  • [ 4 ] [Lei, Ding]College of Computer Science, Beijing University of Technology, Beijing, China
  • [ 5 ] [Chen, Tan]College of Computer Science, Beijing University of Technology, Beijing, China

Reprint Author's Address:

  • 方娟

    [fang, juan]college of computer science, beijing university of technology, beijing, china

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Source :

Journal of Computational Information Systems

ISSN: 1553-9105

Year: 2015

Issue: 17

Volume: 11

Page: 6411-6418

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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