Turbulence: DNS
ORAL · R37 · ID: 2666691
Presentations
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Analyses of extreme-scale turbulence datasets in short simulations of forced isotropic turbulence enabled by exascale computing
ORAL
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Publication: Yeung, P.K., Ravikumar, K., Nichols, S. and U-Vaideswaran, R. (2024)
GPU-enabled extreme-scale turbulence simulations: Fourier pseudo-spectral algorithms at the Exascale using OpenMP offloading.
Under consideration at Computer Physics Communications.Presenters
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P.K. Yeung
Georgia Institute of Technology, Georgia Tech
Authors
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P.K. Yeung
Georgia Institute of Technology, Georgia Tech
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Kiran Ravikumar
Science & Tech Corp.
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Rohini Uma-Vaideswaran
Georgia Institute of Technology, Georgia Tech
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Daniel L Dotson
Georgia Institute of Technology
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Charles Meneveau
Johns Hopkins University
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K.R. Sreenivasan
New York University
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Stephen B Pope
Cornell University
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Stephen Nichols
Oak Ridge National Laboratory
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Statistics of pressure Hessian quantities in well-resolved simulations at high Reynolds number.
ORAL
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Presenters
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Rohini Uma-Vaideswaran
Georgia Institute of Technology, Georgia Tech
Authors
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Rohini Uma-Vaideswaran
Georgia Institute of Technology, Georgia Tech
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P.K. Yeung
Georgia Institute of Technology, Georgia Tech
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Charles Meneveau
Johns Hopkins University
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Daniel Livescu
Los Alamos National Laboratory (LANL)
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Michael Wilczek
University of Bayreuth, Germany, University of Bayreuth
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A study of passive scalar turbulence at high Reynolds numbers enabled by exascale computing
ORAL
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Presenters
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Daniel L Dotson
Georgia Institute of Technology
Authors
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Daniel L Dotson
Georgia Institute of Technology
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P.K. Yeung
Georgia Institute of Technology, Georgia Tech
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K.R. Sreenivasan
New York University
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Quantifying the entanglement complexity in turbulent flows
ORAL
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Presenters
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Fathima Farheen Nambipunnilath Siddique
Michigan Technological University
Authors
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Fathima Farheen Nambipunnilath Siddique
Michigan Technological University
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Yeonsu Jung
Harvard University
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David Palmer
Harvard University
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Kartik P Iyer
Michigan Technological University
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Lakshminarayanan Mahadevan
Harvard University
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ABSTRACT WITHDRAWN
COFFEE_KLATCH
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Impact of low floating-point precision on high-fidelity simulations of turbulence
ORAL
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Presenters
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Philipp Schlatter
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
Authors
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Philipp Schlatter
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
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Martin Karp
KTH Royal Institute of Technology
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Ronith Stanly
KTH Engineering Mechanics
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Hang Song
Stanford University
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Timofey Mukha
KAUST
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Luca Galimberti
KAUST and Politecnico di Milano
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Siavash Toosi
Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg
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Manuel Münsch
Friedrich-Alexander-Universität (FAU)
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Lisandro Dalcin
KAUST
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Saleh Rezaeiravesh
The University of Manchester, UK
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Niclas Jansson
KTH Royal Institute of Technology
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Stefano Markidis
KTH Royal Institute of Technology
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Matteo Parsani
King Abdullah Univ of Sci & Tech (KAUST)
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Sanjeeb T Bose
Cadence Design Systems, Inc and Institute for Computational and Mathematical Engineering, Stanford University, Cascade Technologies, Inc.
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Sanjiva K Lele
Stanford University
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ABSTRACT WITHDRAWN
COFFEE_KLATCH
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