• DocumentCode
    3588015
  • Title

    Scalable hardware-based power management for many-core systems

  • Author

    Bin Liu ; Bohnenstiehl, Brent ; Baas, Bevan M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
  • fYear
    2014
  • Firstpage
    1834
  • Lastpage
    1838
  • Abstract
    Due to high levels integration, the design of many-core systems becomes increasingly challenging. Runtime dynamic voltage and frequency scaling (DVFS) is an effective method in managing the power based on performance requirements in the presence of workload variations. This paper presents an on-line scalable hardware-based dynamic voltage frequency selection algorithm, by using both FIFO occupancy and stall information between processors. To demonstrate the proposed solution, two real application benchmarks are tested on a many-core globally asynchronous locally synchronous (GALS) platform. The experimental results show that the proposed approach can achieve near-optimal power saving under performance constraints.
  • Keywords
    multiprocessing systems; power aware computing; DVFS; FIFO occupancy; dynamic voltage-and-frequency scaling; many-core GALS platform; many-core globally asynchronous locally synchronous platform; on-line scalable hardware-based dynamic voltage frequency selection algorithm; scalable hardware-based power management; workload variations; Benchmark testing; Engines; Heuristic algorithms; Power grids; Program processors; Threshold voltage; Voltage control; Dynamic voltage and frequency scaling (DVFS); globally asynchronous locally synchronous (GALS); many-core processors; multi-processor systems-on-chip (MPSoCs);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2014 48th Asilomar Conference on
  • Print_ISBN
    978-1-4799-8295-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.2014.7094785
  • Filename
    7094785