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Scheduling on the Top 50 Machines

  • Conference paper
Job Scheduling Strategies for Parallel Processing (JSSPP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3277))

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Abstract

The well-known TOP500 list ranks the 500 most powerful high-performance computers. However, the list lacks details about the job management and scheduling on these machines. As this statistic is interesting for researchers and system designers, this paper gives an overview and survey on scheduling relevant information for the first 50 entries in the TOP500 list.

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References

  1. Feitelson, D.G., Rudolph, L., Schwiegelshohn, U., Sevcik, K.C., Wong, P.: Theory and practice in parallel job scheduling. In: Feitelson, D.G., Rudolph, L. (eds.) IPPS-WS 1997 and JSSPP 1997. LNCS, vol. 1291, pp. 1–34. Springer, Heidelberg (1997)

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© 2005 Springer-Verlag Berlin Heidelberg

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Ernemann, C., Krogmann, M., Lepping, J., Yahyapour, R. (2005). Scheduling on the Top 50 Machines. In: Feitelson, D.G., Rudolph, L., Schwiegelshohn, U. (eds) Job Scheduling Strategies for Parallel Processing. JSSPP 2004. Lecture Notes in Computer Science, vol 3277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11407522_2

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  • DOI: https://doi.org/10.1007/11407522_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25330-3

  • Online ISBN: 978-3-540-31795-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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