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Energy-Optimal Software Partitioning in Heterogeneous Multiprocessor Embedded Systems
Slobodan Matic, Michael Goraczko, Dimitrios Limberopoulos, Bodhi Priyantha, Jie Liu, Feng Zhao

Citation
Slobodan Matic, Michael Goraczko, Dimitrios Limberopoulos, Bodhi Priyantha, Jie Liu, Feng Zhao. "Energy-Optimal Software Partitioning in Heterogeneous Multiprocessor Embedded Systems". DAC'08, accepted, June, 2008.

Abstract
Embedded systems with heterogeneous processors extend the energy/timing trade-off flexibility and provide the opportunity to fine tune resource utilization for particular applications. In this paper, we present a resource model that considers the time and energy costs of run-time mode switching, which considerably improves the accuracy of existing models. Given an application, the software partitioning problem then becomes an optimization over energy cost given deadline constraints, which can be formulate as an integer linear programming (ILP) problem. We apply the resource modeling and software partitioning techniques to a multimodule embedded sensing device, the mPlatform, and present a case study of configuring the platform for a real-time sound source localization application on a stack of MSP430 and ARM7 processor based sensing and processing boards.

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Citation formats  
  • HTML
    Slobodan Matic, Michael Goraczko, Dimitrios Limberopoulos,
    Bodhi Priyantha, Jie Liu, Feng Zhao. <a
    href="http://chess.eecs.berkeley.edu/pubs/447.html"
    >Energy-Optimal Software Partitioning in Heterogeneous
    Multiprocessor Embedded Systems</a>, DAC'08, accepted,
    June, 2008.
  • Plain text
    Slobodan Matic, Michael Goraczko, Dimitrios Limberopoulos,
    Bodhi Priyantha, Jie Liu, Feng Zhao. "Energy-Optimal
    Software Partitioning in Heterogeneous Multiprocessor
    Embedded Systems". DAC'08, accepted, June, 2008.
  • BibTeX
    @inproceedings{MaticGoraczkoLimberopoulosPriyanthaLiuZhao08_EnergyOptimalSoftwarePartitioningInHeterogeneousMultiprocessor,
        author = {Slobodan Matic and Michael Goraczko and Dimitrios
                  Limberopoulos and Bodhi Priyantha and Jie Liu and
                  Feng Zhao},
        title = {Energy-Optimal Software Partitioning in
                  Heterogeneous Multiprocessor Embedded Systems},
        booktitle = {DAC'08},
        pages = {accepted},
        month = {June},
        year = {2008},
        abstract = {Embedded systems with heterogeneous processors
                  extend the energy/timing trade-off flexibility and
                  provide the opportunity to fine tune resource
                  utilization for particular applications. In this
                  paper, we present a resource model that considers
                  the time and energy costs of run-time mode
                  switching, which considerably improves the
                  accuracy of existing models. Given an application,
                  the software partitioning problem then becomes an
                  optimization over energy cost given deadline
                  constraints, which can be formulate as an integer
                  linear programming (ILP) problem. We apply the
                  resource modeling and software partitioning
                  techniques to a multimodule embedded sensing
                  device, the mPlatform, and present a case study of
                  configuring the platform for a real-time sound
                  source localization application on a stack of
                  MSP430 and ARM7 processor based sensing and
                  processing boards.},
        URL = {http://chess.eecs.berkeley.edu/pubs/447.html}
    }
    

Posted by Slobodan Matic on 22 Jun 2008.
Groups: chess
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