Computational Fluid Dynamics: High Performance Computing
ORAL · A20 · ID: 22871
Presentations
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A task-based GPU-compatible discontinuous Galerkin fluid solver
ORAL
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Presenters
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Kihiro Bando
- Stanford University
Authors
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Kihiro Bando
- Stanford University
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Matthias Ihme
- Stanford Univ
- Stanford University
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A scalable time-parallel spectral Stokes solver for biological flows
ORAL
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Publication: A scalable time-spectral Stokes solver for simulation of flows in complex geometries
Presenters
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Mahdi Esmaily
- Cornell University
Authors
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Mahdi Esmaily
- Cornell University
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A task-based parallel framework for ensemble simulations of rocket ignition
ORAL
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Presenters
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Kazuki Maeda
- Stanford University
- Center for Turbulence Research, Stanford University, USA
Authors
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Kazuki Maeda
- Stanford University
- Center for Turbulence Research, Stanford University, USA
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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
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Thiago Teixeira
- Stanford University
- Department of Computer Science, Stanford University, USA
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Jonathan M Wang
- Center for Turbulence Research, Stanford University, USA
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Jeffrey M Hokanson
- Smead Aerospace Engineering Sciences, University of Colorado Boulder, USA
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Caetano Melone
- Mechanical Engineering Department, Stanford University, USA
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Steve Jones
- Mechanical Engineering Department, Stanford University, USA
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Javier Urzay
- Center for Turbulence Research, Stanford University, USA
- Center for Turbulence Research, Stanford University
- Stanford Univ
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Gianluca Iaccarino
- Stanford University
- Department of Mechanical Engineering, Stanford University
- Mechanical Engineering Department, Stanford University, USA
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Achieving performance and portability on GPUs and CPUs for a high-order finite difference compressible flow solver using OpenMP and Fortran
ORAL
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Presenters
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Britton J Olson
- Lawrence Livermore Natl Lab
Authors
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Britton J Olson
- Lawrence Livermore Natl Lab
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Brandon Blakeley
- University of Washington
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A Novel Methodology to Optimize High-Performance Computing Hardware for Computational Fluid Dynamics Simulations
ORAL
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Publication: A Novel Methodology to Optimize Computational Fluid Dynamics on High Performance Computing Hardware (planned submission Fall 2021), publication undecided
Presenters
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Reid Prichard
- Liberty University
Authors
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Reid Prichard
- Liberty University
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Wayne Strasser
- Liberty University
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Implementation and Results of a Novel Computational Fluid Dynamics Optimization Methodology
ORAL
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Publication: A Novel Methodology to Optimize Computational Fluid Dynamics on High Performance Computing Hardware (planned submission Fall 2021), publication undecided
Presenters
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Reid Prichard
- Liberty University
Authors
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Reid Prichard
- Liberty University
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Wayne Strasser
- Liberty University
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A multiblock compressible Navier-Stokes solver in the Legion environment
ORAL
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Presenters
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Alboreno Voci
- Stanford University
Authors
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Alboreno Voci
- Stanford University
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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
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Kazuki Maeda
- Stanford University
- Center for Turbulence Research, Stanford University, USA
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Thiago Teixeira
- Stanford University
- Department of Computer Science, Stanford University, USA
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Gianluca Iaccarino
- Stanford University
- Department of Mechanical Engineering, Stanford University
- Mechanical Engineering Department, Stanford University, USA
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Simulating Fluid Flows on the Tensor Processing Unit Platform
ORAL
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Presenters
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Qing Wang
- Stanford University
Authors
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Qing Wang
- Stanford University
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Xinle Liu
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Sheide Chammas
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Vivian Yang
- Google Inc
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Matthias Ihme
- Stanford Univ
- Stanford University
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Yi-Fan Chen
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A low-storage Runge-Kutta time integration method for scalable asynchrony-tolerant numerical schemes
ORAL
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Presenters
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Shubham K Goswami
- Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru
Authors
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Shubham K Goswami
- Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru
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Vinod J Matthew
- Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru
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Konduri Aditya
- Indian Institute of Science Bangalore
- Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru
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