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  • 标题:ePRO-MP: A Tool for Profiling and Optimizing Energy and Performance of Mobile Multiprocessor Applications
  • 本地全文:下载
  • 作者:Wonil Choi ; Hyunhee Kim ; Wook Song
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2009
  • 卷号:17
  • 期号:4
  • 页码:285-294
  • DOI:10.1155/2009/838745
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    For mobile multiprocessor applications, achieving high performance with low energy consumption is a challenging task. In order to help programmers to meet these design requirements, system development tools play an important role. In this paper, we describe one such development tool, ePRO-MP, which profiles and optimizes both performance and energy consumption of multi-threaded applications running on top of Linux for ARM11 MPCore-based embedded systems. One of the key features of ePRO-MP is that it can accurately estimate the energy consumption of multi-threaded applications without requiring a power measurement equipment, using a regression-based energy model. We also describe another key benefit of ePRO-MP, an automatic optimization function, using two example problems. Using the automatic optimization function, ePRO-MP can achieve high performance and low power consumption without programmer intervention. Our experimental results show that ePRO-MP can improve the performance and energy consumption by 6.1% and 4.1%, respectively, over a baseline version for the co-running applications optimization example. For the producer-consumer application optimization example, ePRO-MP improves the performance and energy consumption by 60.5% and 43.3%, respectively over a baseline version.

  • 关键词:Multi-processor; multi-threaded software; embedded software profiling tool; performance; energy; energy model
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