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A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems

  • Axel Keller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10773)

Abstract

This paper describes a data structure and a heuristic to plan and map arbitrary resources in complex combinations while applying time dependent constraints. The approach is used in the planning based workload manager OpenCCS at the Paderborn Center for Parallel Computing (PC\(^2\)) to operate heterogeneous clusters with up to 10000 cores. We also show performance results derived from four years of operation.

Keywords

Scheduling Planning Mapping Workload management 

Notes

Acknowledgements

I would like to thank Christoph Kleineweber, Dr. Lars Schäfers, and Dr. Jörn Schumacher for their valuable contribution to the current OpenCCS release.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Paderborn Center for Parallel ComputingPaderborn UniversityPaderbornGermany

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