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Parallel Scheduling Algorithms

Author

Listed:
  • Eliezer Dekel

    (University of Minnesota, Minneapolis, Minnesota)

  • Sartaj Sahni

    (University of Minnesota, Minneapolis, Minnesota)

Abstract

Parallel algorithms are given for scheduling problems such as scheduling to minimize the number of tardy jobs, job sequencing with deadlines, scheduling to minimize earliness and tardiness penalties, channel assignment, and minimizing the mean finish time. The shared memory model of parallel computers is used to obtain fast algorithms.

Suggested Citation

  • Eliezer Dekel & Sartaj Sahni, 1983. "Parallel Scheduling Algorithms," Operations Research, INFORMS, vol. 31(1), pages 24-49, February.
  • Handle: RePEc:inm:oropre:v:31:y:1983:i:1:p:24-49
    DOI: 10.1287/opre.31.1.24
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    Cited by:

    1. Antoon W.J. Kolen & Jan Karel Lenstra & Christos H. Papadimitriou & Frits C.R. Spieksma, 2007. "Interval scheduling: A survey," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(5), pages 530-543, August.
    2. Toly Chen & Chi-Wei Lin, 2017. "Estimating the simulation workload for factory simulation as a cloud service," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1139-1157, June.

    More about this item

    Keywords

    584 parallel scheduling algorithms;

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