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The EASY — LoadLeveler API project

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Job Scheduling Strategies for Parallel Processing (JSSPP 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1162))

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Abstract

With the increasing use of distributed memory massively parallel machines (MPPs) such as the IBM SP, the need for improved parallel job scheduling tools has sparked many recent developments. IBM's LoadLeveler is being used at the Cornell Theory Center, but problems exist with the current scheduling algorithm applied to the job mix on the 512-node SP. In order to address Cornell's difficulties, Joseph Skovira began to consider enhancements to LoadLeveler. At about the same time, David Lifka, developer of the EASY parallel job scheduler, began working at CTC. With Waiman Chan and Honbo Zhou of IBM LoadLeveler development, we have developed a LoadLeveler API that allows external schedulers like EASY to control the starting and stopping of jobs through LoadLeveler.

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References

  1. Kaplan, J., Nelson, M., A Comparison of Queueing, Cluster and Distributed Computing Systems. NASA TM 109025 (Revision 1)-1, NASA Langly Research Center, (1994)

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  2. Lifka, D., Henderson, M.,and Rayl, K., ANL/MCS-TM-201, Users Guide to the Argonne SP Scheduling System, Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL (1995)

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  3. Lifka, D., The ANL/IBM SP Scheduling System, Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL (1995)

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  4. Rosenkrantz, M., Schneider, D., Leibensperger, R., Shore, M., Zollweg, J., Requirements of the Cornell Theory Center for Resource Management and Process Scheduling, Cornell Theory Center, Ithaca NY (1995)

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Author information

Authors and Affiliations

  1. International Business Machines, USA

    Joseph Skovira, Waiman Chan & Honbo Zhou

  2. Cornell Theory Center, USA

    David Lifka

Authors
  1. Joseph Skovira
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  2. Waiman Chan
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  3. Honbo Zhou
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  4. David Lifka
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Editor information

Dror G. Feitelson Larry Rudolph

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© 1996 Springer-Verlag Berlin Heidelberg

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Skovira, J., Chan, W., Zhou, H., Lifka, D. (1996). The EASY — LoadLeveler API project. In: Feitelson, D.G., Rudolph, L. (eds) Job Scheduling Strategies for Parallel Processing. JSSPP 1996. Lecture Notes in Computer Science, vol 1162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022286

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  • DOI: https://doi.org/10.1007/BFb0022286

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61864-5

  • Online ISBN: 978-3-540-70710-3

  • eBook Packages: Springer Book Archive

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