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DynamicPVM

Dynamic load balancing on parallel systems

  • Parallal Programming Enviroments
  • Conference paper
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High-Performance Computing and Networking (HPCN-Europe 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 797))

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Abstract

This paper describes DynamicPVM, an extension to PVM (Parallel Virtual Machine) [1]. PVM enables users to write parallel applications using message passing primitives and statically places the parallel tasks on a collection of nodes. System schedulers schedule atomic jobs over a predefined number of nodes. DynamicPVM addresses the problem of scheduling parallel tasks over a set of nodes. It therefore has to integrate a process checkpointing, migration and restart restart mechanism with the PVM runtime support system. DynamicPVM facilitates an efficient use of existing computational resources for computational jobs consisting of parallel subtasks. Typical target HPC platforms for DynamicPVM are multi user, multi tasking, loosely coupled processors.

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References

  1. V. S. Sunderam. PVM: A framework for parallel distributed computing, Concurrency: Practice and Experience, vol. 2(4), pp. 315–339, December 1990.

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  2. M. J. Litzkow, M. Livny. Condor — A hunter of idle workstations, 8th International Conference on Distributed Computing Systems, San Jose, California, June 1988.

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  3. L. Dikken, DynamicPVM: Task Migration in PVM, Technical Report, Shell Research, ICS/155.1, November 1993.

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  4. Sun Microsystems, XDR: External Data Representation standard, Sun Microsystems, Inc., 1987, RFC 1014.

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Wolfgang Gentzsch Uwe Harms

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© 1994 Springer-Verlag Berlin Heidelberg

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Dikken, L., van der Linden, F., Vesseur, J., Sloot, P. (1994). DynamicPVM. In: Gentzsch, W., Harms, U. (eds) High-Performance Computing and Networking. HPCN-Europe 1994. Lecture Notes in Computer Science, vol 797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57981-8_130

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  • DOI: https://doi.org/10.1007/3-540-57981-8_130

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57981-6

  • Online ISBN: 978-3-540-48408-0

  • eBook Packages: Springer Book Archive

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