• DocumentCode
    3117581
  • Title

    Application workload model generation methodologies for system-level design exploration

  • Author

    Saastamoinen, Jukka ; Kreku, Jari

  • Author_Institution
    Commun. Platforms, VTT Tech. Res. Centre of Finland, Oulu, Finland
  • fYear
    2011
  • fDate
    2-4 Nov. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    As most of the applications of embedded system products are realized in software, the performance estimation of software is crucial for successful system design. Significant part of the functionality of these applications is based on services provided by the underlying software libraries. Often used performance evaluation technique today is the system-level performance simulation of the applications and platforms using abstracted workload and execution platform models. The accuracy of the software performance results is dependent on how closely the application workload model reflects actual software as a whole. This paper presents a methodology which combines compiler based user code workload model generation with workload extraction of pre-compiled libraries, while exploiting an overall approach and execution platform model developed previously. Benefit of the proposed methodology compared to earlier solution is experimented using a set of benchmarks.
  • Keywords
    embedded systems; software libraries; software performance evaluation; application workload model generation; compiler based user code workload model generation; embedded system; performance evaluation; software libraries; system-level design exploration; Accuracy; Instruction sets; Kernel; Libraries; Load modeling; XML; design; exploration; workload;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Architectures for Signal and Image Processing (DASIP), 2011 Conference on
  • Conference_Location
    Tampere
  • Print_ISBN
    978-1-4577-0620-2
  • Electronic_ISBN
    978-1-4577-0619-6
  • Type

    conf

  • DOI
    10.1109/DASIP.2011.6136888
  • Filename
    6136888