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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 209Cite as

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Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids

Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids

  • Stephen L. Scott30,31 &
  • Chokchai (Box) Leangsuksun32 
  • Conference paper
  • 1054 Accesses

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7156)

Abstract

Clusters, Clouds, and Grids are three different computational paradigms with the intent or potential to support High Performance Computing (HPC). Currently, they consist of hardware, management, and usage models particular to different computational regimes, e.g., high performance systems designed to support tightly coupled scientific simulation codes and commercial cloud systems designed to support software as a service (SAS). However, in order to support HPC, all must at least utilize large numbers of resources and hence effective HPC in any of these paradigms must address the issue of resiliency at large-scale.

Keywords

  • Fault Tolerance
  • Usage Model
  • High Performance Computing
  • Computational Paradigm
  • Soft Error

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Tennessee Tech University, USA

    Stephen L. Scott

  2. Oak Ridge National Laboratory, USA

    Stephen L. Scott

  3. College of Engineering & Science, Louisiana Tech University, Ruston, LA, 71270, USA

    Chokchai (Box) Leangsuksun

Authors
  1. Stephen L. Scott
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  2. Chokchai (Box) Leangsuksun
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, US

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TUMünchen,, Boltzmannstr. 3, ,, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austria

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Scott, S.L., Leangsuksun, C.(. (2012). Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29740-3_24

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  • DOI: https://doi.org/10.1007/978-3-642-29740-3_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29739-7

  • Online ISBN: 978-3-642-29740-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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