High Performance Computing
ORAL · M30 ·
Presentations
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A multithreaded and GPU-optimized compact finite difference algorithm for turbulent mixing at high Schmidt number using petascale computing
ORAL
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Authors
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M.P. Clay
- Georgia Tech
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P. K. Yeung
- Georgia Tech
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D. Buaria
- Max Planck Institute for Dynamics and Self-Organization, Germany
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T. Gotoh
- Nagoya Inst Tech, Japan
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ABSTRACT WITHDRAWN
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GPU Accelerated DG-FDF Large Eddy Simulator
ORAL
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Authors
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Medet Inkarbekov
- Al-Farabi Kazakh National University
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Aidyn Aitzhan
- University of Pittsburgh
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Shervin Sammak
- Center for Research Computing, University of Pittsburgh
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Peyman Givi
- Univ of Pittsburgh
- University of Pittsburgh
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Aidarkhan Kaltayev
- Al-Farabi Kazakh National University
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A GPU-accelerated semi-implicit fractional step method for numerical solutions of incompressible Navier-Stokes equations
ORAL
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Authors
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Sanghyun Ha
- Pohang University of Science and Technology
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Junshin Park
- Pohang University of Science and Technology
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Donghyun You
- Pohang University of Science and Technology
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Particle Laden Turbulence in a Radiation Environment Using a Portable High Preformace Solver Based on the Legion Runtime System
ORAL
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Authors
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Hilario Torres
- Stanford University
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Gianluca Iaccarino
- Stanford University
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Numerical Simulations of Reacting Flows Using Asynchrony-Tolerant Schemes for Exascale Computing
ORAL
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Authors
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Emmet Cleary
- California Institute of Technology
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Aditya Konduri
- Sandia National Laboratories
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Jacqueline Chen
- Sandia National Laboratories
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Spatial and temporal accuracy of asynchrony-tolerant finite difference schemes for partial differential equations at extreme scales
ORAL
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Authors
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Komal Kumari
- Texas A\&M University
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Diego Donzis
- Texas A\&M University
- Texas A&M University
- Texas A&M Univ
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Error characterization for asynchronous computations: Proxy equation approach
ORAL
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Authors
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Gabriella Sallai
- Franklin and Marshall College
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Ankita Mittal
- Texas A&M Univ
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Sharath Girimaji
- Texas A&M Univ
- Texas A&M University
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Algorithm for computing descriptive statistics for very large data sets and the exa-scale era
ORAL
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Authors
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Izaak Beekman
- ParaTools Inc.
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