• DocumentCode
    1369161
  • Title

    Register File Partitioning and Compiler Support for Reducing Embedded Processor Power Consumption

  • Author

    Guan, Xuan ; Fei, Yunsi

  • Author_Institution
    Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
  • Volume
    18
  • Issue
    8
  • fYear
    2010
  • Firstpage
    1248
  • Lastpage
    1252
  • Abstract
    Register file (RF) in modern embedded processors contributes a substantial budget in the energy consumption due to its large switching capacitance and long working time. For embedded processors, on average 25% of registers count for 83% of RF accessing time. This motivates us to partition the RF into hot and cold regions, with the most frequently used registers placed in the hot region, and the rarely accessed ones in the cold region. We employ the techniques of bit-line splitting and drowsy register cell to reduce the overall accessing power of RF. We propose a novel approach to partition the RF in a way that can achieve the largest power saving. We formulate the RF partitioning process into a graph partitioning problem, and apply an effective algorithm to obtain the optimal result. We evaluate our algorithm on MiBench and SPEC2000 applications, and an average saving of 58.3% and 54.4% over the non-partitioned RF accessing power is achieved for the SimpleScalar PISA system, respectively. The area overhead is negligible, and the execution time overhead is acceptable.
  • Keywords
    embedded systems; file organisation; graph theory; power aware computing; program compilers; bit-line splitting; compiler support; drowsy register; embedded processor power consumption; graph partitioning problem; register file partitioning; Compilers; low-power design; partitioning; processor architectures;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2009.2020860
  • Filename
    5238570