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.

Electronic downloads

• DAC08_f1250.pdf · application/pdf · 312 kbytes

• 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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