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Optimal resource allocation and scheduling for the CELL BE platform

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  • Luca Benini
  • Michele Lombardi
  • Michela Milano
  • Martino Ruggiero

Abstract

Resource allocation and scheduling for multicore platforms is one of the most critical challenges in today’s embedded computing. In this paper we focus on a well-known multicore platform, namely the Cell BE processor, and we address the problem of allocating and scheduling its processors, communication channels and memories, with the goal of minimizing execution time for complex data streaming applications. We propose three complete approaches that optimally solve the problem and prove optimality. The first is based on the recursive application of the Logic Based Benders decomposition, resulting in a three stage algorithm. The second is a pure CP approach while the third is a hybrid approach integrating the first two. Extensive experimental evaluation shows the features of each approach and its effectiveness on a specific instance structure. Copyright Springer Science+Business Media, LLC 2011

Suggested Citation

  • Luca Benini & Michele Lombardi & Michela Milano & Martino Ruggiero, 2011. "Optimal resource allocation and scheduling for the CELL BE platform," Annals of Operations Research, Springer, vol. 184(1), pages 51-77, April.
    • Handle: RePEc:spr:annopr:v:184:y:2011:i:1:p:51-77:10.1007/s10479-010-0718-x
    DOI: 10.1007/s10479-010-0718-x
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    References listed on IDEAS

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    1. Vipul Jain & Ignacio E. Grossmann, 2001. "Algorithms for Hybrid MILP/CP Models for a Class of Optimization Problems," INFORMS Journal on Computing, INFORMS, vol. 13(4), pages 258-276, November.
    2. SADYKOV, Ruslan & WOLSEY, Laurence A., 2006. "Integer programming and constraint programming in solving a multimachine assignment scheduling problem with deadlines and release dates," LIDAM Reprints CORE 1854, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Ruslan Sadykov & Laurence A. Wolsey, 2006. "Integer Programming and Constraint Programming in Solving a Multimachine Assignment Scheduling Problem with Deadlines and Release Dates," INFORMS Journal on Computing, INFORMS, vol. 18(2), pages 209-217, May.
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