IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-68394-2_31.html
   My bibliography  Save this book chapter

EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond

In: High Performance Computing in Science and Engineering ' 17

Author

Listed:
  • Mario Heene

    (University of Stuttgart, Institute for Parallel and Distributed Systems)

  • Alfredo Parra Hinojosa

    (Technical University of Munich, Chair of Scientific Computing)

  • Michael Obersteiner

    (Technical University of Munich, Chair of Scientific Computing)

  • Hans-Joachim Bungartz

    (Technical University of Munich, Chair of Scientific Computing)

  • Dirk Pflüger

    (University of Stuttgart, Institute for Parallel and Distributed Systems)

Abstract

Within the current reporting period (04/2016–04/2017) of our HLRS project we have developed a scalable implementation of the fault-tolerant combination technique. Fault-tolerance is one of the key topics in the ongoing research of algorithms for future exascale systems. Our algorithms enable fault-tolerance for both hard and soft faults, for the efficient and massively parallel computation of high-dimensional PDEs without the need of checkpointing or process replication. The research project EXAHD is part of DFG’s priority program “Software for Exascale Computing” (SPPEXA). The project’s target application is the large-scale simulation of plasma turbulence with the code GENE. The report combines parts of three publications.

Suggested Citation

  • Mario Heene & Alfredo Parra Hinojosa & Michael Obersteiner & Hans-Joachim Bungartz & Dirk Pflüger, 2018. "EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering ' 17, pages 513-529, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-68394-2_31
    DOI: 10.1007/978-3-319-68394-2_31
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-68394-2_31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.