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Computational Fluid Dynamics: High Performance Computing

ORAL · A20 · ID: 22871

Presentations

  • A task-based parallel framework for ensemble simulations of rocket ignition

    ORAL

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    Presenters

    • Kazuki Maeda

      Stanford University, Center for Turbulence Research, Stanford University, USA

    Authors

    • Kazuki Maeda

      Stanford University, Center for Turbulence Research, Stanford University, USA

    • Mario Di Renzo

      CERFACS, Cerfacs, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), France, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, France

    • Thiago Teixeira

      Stanford University, Department of Computer Science, Stanford University, USA

    • Jonathan M Wang

      Center for Turbulence Research, Stanford University, USA

    • Jeffrey M Hokanson

      Smead Aerospace Engineering Sciences, University of Colorado Boulder, USA

    • Caetano Melone

      Mechanical Engineering Department, Stanford University, USA

    • Steve Jones

      Mechanical Engineering Department, Stanford University, USA

    • Javier Urzay

      Center for Turbulence Research, Stanford University, USA, Center for Turbulence Research, Stanford University, Stanford Univ

    • Gianluca Iaccarino

      Stanford University, Department of Mechanical Engineering, Stanford University, Mechanical Engineering Department, Stanford University, USA

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  • A multiblock compressible Navier-Stokes solver in the Legion environment

    ORAL

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    Presenters

    • Alboreno Voci

      Stanford University

    Authors

    • Alboreno Voci

      Stanford University

    • Mario Di Renzo

      CERFACS, Cerfacs, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), France, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, France

    • Kazuki Maeda

      Stanford University, Center for Turbulence Research, Stanford University, USA

    • Thiago Teixeira

      Stanford University, Department of Computer Science, Stanford University, USA

    • Gianluca Iaccarino

      Stanford University, Department of Mechanical Engineering, Stanford University, Mechanical Engineering Department, Stanford University, USA

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  • A low-storage Runge-Kutta time integration method for scalable asynchrony-tolerant numerical schemes

    ORAL

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    Presenters

    • Shubham K Goswami

      Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru

    Authors

    • Shubham K Goswami

      Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru

    • Vinod J Matthew

      Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru

    • Konduri Aditya

      Indian Institute of Science Bangalore, Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru

    View abstract →