Software engineering (SWE) for modeling, simulation, and data analytics for computational science and engineering (CSE) is challenging, with ever-more sophisticated, higher fidelity simulation of ever-larger, more complex problems involving larger data volumes, more domains, and more researchers. Targeting both commodity and custom high-end computers multiplies these challenges. We invest significantly in creating these codes, but rarely talk about that experience; we just focus on the results. We seek to raise awareness of SWE for CSE on supercomputers as a major challenge, and develop an international "community of practice" to continue these important discussions outside of workshops and other "traditional" venues.


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    Titel :

    Software Engineering and Reuse in Modeling, Simulation, and Data Analytics for Science and Engineering


    Beteiligte:
    Bernholdt, David (Autor:in) / Carver, Jeffrey (Autor:in) / Hong, Neil Chue (Autor:in) / Gropp, William (Autor:in) / Haupt, Carina (Autor:in) / Heroux, Michael (Autor:in) / Huebl, Alex (Autor:in) / Juckeland, Guido (Autor:in) / Chimeh, Mozhgan Kabiri (Autor:in) / Katz, Daniel S. (Autor:in)

    Kongress:

    2019 ; Denver, US


    Erscheinungsdatum :

    2019-11-20


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch








    Analytics and Insights about Cultivating the Software Engineering Community at DLR

    Haupt, Carina / Schlauch, Tobias | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019

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