Lagrangian relaxation-based lower bound for resource-constrained modulo scheduling
In this work we propose a Lagrangian relaxation of a time indexed integer programming formulation to compute a lower bound for the resource-constrained modulo scheduling problem (RCMSP). Solving the RCMSP consists in finding a 1-periodic schedule minimizing the period subject to both temporal and re...
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Published in | Electronic notes in discrete mathematics Vol. 36; pp. 191 - 198 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.08.2010
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Subjects | |
Online Access | Get full text |
ISSN | 1571-0653 1571-0653 |
DOI | 10.1016/j.endm.2010.05.025 |
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Summary: | In this work we propose a Lagrangian relaxation of a time indexed integer programming formulation to compute a lower bound for the resource-constrained modulo scheduling problem (RCMSP). Solving the RCMSP consists in finding a 1-periodic schedule minimizing the period subject to both temporal and resource constraints. This work is inspired by Möhring
et al results [Möhring, R.H., A. S. Schulz, F. Stork and M. Uetz
Solving Project Scheduling Problems by Minimum Cut Computations, Management Science. 49 (2003), 330–350] for the (non cyclic) resource constrained project scheduling problem, where each subproblem solved within the subgradient optimization is equivalent to a minimum cut problem. Experimental results, presented on instruction scheduling instances from the STMicroelectronics ST200 VLIW processor family, underline the interest of the proposed method. |
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ISSN: | 1571-0653 1571-0653 |
DOI: | 10.1016/j.endm.2010.05.025 |