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The resource-constrained modulo scheduling problem: an experimental study

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  • Maria Ayala
  • Abir Benabid
  • Christian Artigues
  • Claire Hanen

Abstract

In this paper, we focus on the resource-constrained modulo scheduling problem (RCMSP), a general periodic scheduling problem, abstracted from the problem solved by compilers when optimizing inner loops at instruction level for VLIW parallel processors. Heuristic solving scheme have been proposed since many years to solve this problem, among which the decomposed software pipeling method. In this method, a cyclic scheduling problem ignoring resource constraints is first considered and a so-called legal retiming of the operations is issued. Second, a standard acyclic problem, taking this retiming as input, is solved through list scheduling techniques. In this paper, we propose a novel hybrid approach, which uses the decomposed software pipeling method to obtain a good retiming. Then the obtained retiming is used to build an integer linear programming formulation of reduced size, which allows to solve it exactly. Experimental results show that a lot more problems are solved with this new approach. The gap to the optimal solution is less than 1 % on most of the tested problem instances and the method appears to be competitive with a recently proposed constraint programming algorithm (Bonfietti et al., Lect. Notes Comput. Sci. 6876:130–144, 2011 ). Copyright Springer Science+Business Media, LLC 2013

Suggested Citation

  • Maria Ayala & Abir Benabid & Christian Artigues & Claire Hanen, 2013. "The resource-constrained modulo scheduling problem: an experimental study," Computational Optimization and Applications, Springer, vol. 54(3), pages 645-673, April.
    • Handle: RePEc:spr:coopap:v:54:y:2013:i:3:p:645-673
    DOI: 10.1007/s10589-012-9499-2
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    References listed on IDEAS

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    1. A. Alan B. Pritsker & Lawrence J. Waiters & Philip M. Wolfe, 1969. "Multiproject Scheduling with Limited Resources: A Zero-One Programming Approach," Management Science, INFORMS, vol. 16(1), pages 93-108, September.
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    3. Yakov Zinder & Duncan Roper, 1998. "An iterative algorithm for scheduling unit-time taskswith precedence constraints to minimisethe maximum lateness," Annals of Operations Research, Springer, vol. 81(0), pages 321-343, June.
    4. Brucker, Peter & Drexl, Andreas & Mohring, Rolf & Neumann, Klaus & Pesch, Erwin, 1999. "Resource-constrained project scheduling: Notation, classification, models, and methods," European Journal of Operational Research, Elsevier, vol. 112(1), pages 3-41, January.
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    Cited by:

    1. Idir Hamaz & Laurent Houssin & Sonia Cafieri, 2018. "A robust basic cyclic scheduling problem," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 6(3), pages 291-313, September.

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