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System management tools for SHPC systems — Partition management

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 919))

Abstract

Processing element allocation is a fundamental service for the efficiency and performance of today's partitionable scalable high performance computing (SHPC) systems. In this paper we give an overview of different partitioning policies and introduce a Partition Management Tool (PMT) we developed. PMT could be integrated into the Intel Paragon's ParAide tool environment and is a major step towards an easy and efficient partition management.

We thank Bernhard Ries (of the Intel European Supercomputer Development Center ESDC, Munich, Germany) for his support and advice.

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References

  1. T. Bemmerl, B. Ries. “Performance Tools on Intel Scalable High Performance Computing Systems”. 7th Int. Conf. on Modelling Techniques and Tools for Computer Perf. Evaluation, May 3–6, Vienna, Austria, 1994

    Google Scholar 

  2. P.J. Chuang and N.F. Tzeng. “An Efficient Submesh Allocation Strategy for Mesh Computer Systems”. In 1991 International Conference on Distributed Computer Systems, pp 256–263, 1991.

    Google Scholar 

  3. K. Li and K.H. Cheng. “A Two Dimensional Buddy System for Dynamic Resource Allocation in a Partitionable Mesh Connected System”. Journal of Parallel and Distributed Computing, 12:79–83, 1991.

    Article  Google Scholar 

  4. W. Liu, V.M. Lo, K. Windisch and B. Nitzberg. “Non-contiguous Processor Allocation Algorithms for Distributed Memory Multicomputers”. Proceedings of Supercomputing 94, 1994.

    Google Scholar 

  5. B. Ries, R. Anderson, D. Breazeal, K. Callaghan. E. Richards, W. Smith. “The Paragon Performance Monitoring Environment”. Proceedings of Supercomputing 93, Portland, Oregon. 1993.

    Google Scholar 

  6. K. Windisch, J.V. Miller, V. Lo. “ProcSimity: An Experimental Tool for Processor Allocation and Scheduling in Highly Parallel Systems”. To appear in the Proceedings of Frontiers of Parallel Computation, 1995.

    Google Scholar 

  7. Y. Zhu. “Efficient Processor Allocation Strategies for Mesh-Connected Parallel Computers”. Journal of Parallel and Distributed Computing, 16:328–337, 1992.

    Article  MATH  Google Scholar 

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Bob Hertzberger Giuseppe Serazzi

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© 1995 Springer-Verlag Berlin Heidelberg

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Günther, H., Brockners, F., Bemmerl, T. (1995). System management tools for SHPC systems — Partition management. In: Hertzberger, B., Serazzi, G. (eds) High-Performance Computing and Networking. HPCN-Europe 1995. Lecture Notes in Computer Science, vol 919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046605

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  • DOI: https://doi.org/10.1007/BFb0046605

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59393-5

  • Online ISBN: 978-3-540-49242-9

  • eBook Packages: Springer Book Archive

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