• DocumentCode
    3589210
  • Title

    Reduction of energy consumption using SPM and optimal code layout in embedded systems

  • Author

    Lavanya, S. ; Anuradha, B.

  • Author_Institution
    Dept. of IT, SNS Coll. of Eng., Coimbatore, India
  • fYear
    2014
  • Firstpage
    286
  • Lastpage
    290
  • Abstract
    In the multiprocessing embedded system the efficient use of the on-chip and off-chip memory code repositioning is done. For the purpose of improvement in the embedded system the SPM and cache is used for the code processing. The code layout is developed to place the code in memory for the preventing the cache conflicts and misses. Even though many researchers have illustrated the use of SPM and cache to improve the efficiency, combining these two was not done. In this study the comparison of energy consumption is done while code processing is done by three models namely 1) ILP model 2) Heuristic model 3) two stage meta-heuristic model. In the above two stage Meta heuristic model is the proposed model in which along with the SPM and Cache code layout is developed to place the code in it. The result reveals that compared to other two models the two stage meta-heuristic model yield more efficiency and consume less energy than other two models. As much as approximately 55% of additional energy can be saved by applying both code repositioning and SPM code selection techniques in this model.
  • Keywords
    cache storage; embedded systems; multiprocessing systems; power aware computing; SPM; cache memory; embedded multiprocessing system; energy consumption reduction; metaheuristic model; optimal code layout; scratch pad memory; Conferences; Embedded systems; Energy consumption; Intelligent systems; Layout; Memory management; Embedded systems; Heuristic; ILP; Optimal Code layout; Scratch Pad Memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Control (ISCO), 2014 IEEE 8th International Conference on
  • Print_ISBN
    978-1-4799-3836-0
  • Type

    conf

  • DOI
    10.1109/ISCO.2014.7103961
  • Filename
    7103961