• DocumentCode
    3245371
  • Title

    Energy Minimization and Latency Hiding for Heterogeneous Parallel Memory

  • Author

    Meikang Qiu ; Gang Wu ; Jingtong Hu ; Wei-Che Tseng ; Sha, Edwin H-M

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Kentucky, Lexington, KY, USA
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    503
  • Lastpage
    510
  • Abstract
    Many high-performance DSP processors employ multi-module on-chip memory to improve performance and power consumption. This paper studies the scheduling and assignment problem that minimizes the total energy while satisfying performance for applications with loops. An algorithm, LSAMEM (Loop Scheduling and Assignment to Minimize Energy for Memory), is proposed. The algorithm attempts to maximum energy saving while satisfying timing constraint with guaranteed probability. The experimental results show that the average improvement on energy-saving is significant by using LSAMEM.
  • Keywords
    digital signal processing chips; minimisation; parallel memories; probability; processor scheduling; DSP processors; LSAMEM; assignment problem; energy minimization; energy saving; guaranteed probability; heterogeneous parallel memory; latency hiding; loop scheduling and assignment to minimize energy for memory; multimodule on-chip memory; power consumption; timing constraint; Delay; Digital signal processing; Embedded system; Energy consumption; Memory architecture; Processor scheduling; Real time systems; Scheduling algorithm; Signal processing algorithms; Timing; energy minimization; heterogeneous; latency hiding; memory; parallel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems (ICPADS), 2009 15th International Conference on
  • Conference_Location
    Shenzhen
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4244-5788-5
  • Type

    conf

  • DOI
    10.1109/ICPADS.2009.132
  • Filename
    5395329