• DocumentCode
    2125584
  • Title

    DR-SNUCA: An energy-scalable dynamically partitioned cache

  • Author

    Gupta, Arpan ; Sampson, Jack ; Taylor, Michael Bedford

  • Author_Institution
    Univ. of California, San Diego, La Jolla, CA, USA
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    515
  • Lastpage
    518
  • Abstract
    Multicore processors have become ubiquitous across many domains, such as datacenters and smartphones. As the number of processing elements increases within these processors, so does the pressure to share the critical on-chip cache resources, but this must be done energy-efficiently and without sacrificing resource guarantees. We propose a scalable dynamic cache-partitioning scheme, DR-SNUCA, which provides an energy-efficient way to reduce resource interference over caches shared among many processing elements. Our results show that DR-SNUCA reduces system energy consumption by 16.3% compared to associatively partitioned caches, such as DNUCA.
  • Keywords
    cache storage; energy conservation; multiprocessing systems; power aware computing; DR-SNUCA scheme; critical on-chip cache resources; data centers; energy consumption reduction; energy-scalable dynamically partitioned cache; multicore processors; processing elements; resource guarantees; resource sharing; smart phones; Arrays; Benchmark testing; Energy consumption; Indexes; Program processors; Resource management; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design (ICCD), 2013 IEEE 31st International Conference on
  • Conference_Location
    Asheville, NC
  • Type

    conf

  • DOI
    10.1109/ICCD.2013.6657096
  • Filename
    6657096