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Open OnDemand: HPC for Everyone

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High Performance Computing (ISC High Performance 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11887))

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Abstract

Open OnDemand is an open source project designed to lower the barrier to HPC use across many diverse disciplines. Here we describe the main features of the platform, give several use cases of Open OnDemand and discuss how we measure success. We end the paper with a discussion of the future project roadmap.

Supported by National Science Foundation grant 1835725.

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References

  1. Reinsel, D., Grantz, J., Rydning, J.: The Digitization of the World - From Edge to Core. IDC White Paper - #US44413318 (2018)

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  2. Hudak, D., et al.: Open OnDemand a web-based client portal for HPC centers. J. Open Sour. Softw. 3(25), 622 (2018). https://doi.org/10.21105/joss.00622

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Author information

Authors and Affiliations

  1. Advanced Research Computing, Virginia Tech, Blacksburg, VA, 24060, USA

    Robert Settlage & Edgar Moore

  2. Ohio Supercomputer Center, Columbus, OH, 43212, USA

    Alan Chalker, Eric Franz, Doug Johnson & David Hudak

  3. Center for Computational Research, University of Buffalo, Buffalo, NY, 14203, USA

    Steve Gallo

Authors
  1. Robert Settlage
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  2. Alan Chalker
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  3. Eric Franz
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  4. Doug Johnson
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  5. Steve Gallo
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  6. Edgar Moore
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  7. David Hudak
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Corresponding author

Correspondence to Robert Settlage .

Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Michèle Weiland

  2. Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Sachsen, Germany

    Guido Juckeland

  3. Swiss National Supercomputing Centre, Lugano, Ticino, Switzerland

    Sadaf Alam

  4. University of Tennessee at Knoxville, Knoxville, TN, USA

    Heike Jagode

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© 2019 Springer Nature Switzerland AG

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Cite this paper

Settlage, R. et al. (2019). Open OnDemand: HPC for Everyone. In: Weiland, M., Juckeland, G., Alam, S., Jagode, H. (eds) High Performance Computing. ISC High Performance 2019. Lecture Notes in Computer Science(), vol 11887. Springer, Cham. https://doi.org/10.1007/978-3-030-34356-9_38

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  • DOI: https://doi.org/10.1007/978-3-030-34356-9_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34355-2

  • Online ISBN: 978-3-030-34356-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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