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GTC ON-DEMAND

HPC and Supercomputing
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GPU-Accelerated Science on Titan: Tapping into the World's Preeminent GPU Supercomputer to Achieve Better Science
Abstract:

This year, the leadership-class computing facility at Oak Ridge National Labs is upgrading its largest supercomputer for open science, "Jaguar", to employ high-performance, power- efficient GPUs. Once the transition is complete, the machine will be known as "Titan". In this extended GTC session, we will feature a range of presenters showcasing research codes that will run computational science on the GPU at scale. Through these selected presentations, we will investigate the progress and anticipated results of GPU-acceleration of these significant codes. In this session, we will also explain how research scientists interested in tapping into the immense capabilities of Titan can do so, through programs such as the INCITE program sponsored by the US Department of Energy. The presenters include: Speaker: Jacqueline H. Chen (Combustion Research Facility, Sandia National Laboratories) "Direct Numerical Simulation of Turbulence-Chemistry Interactions: Fundamental Insights Towards Predictive Models" Speaker: Ray Grout (National Renewable Energy Laboratory) "S3D Direct Numerical Simulation - Preparations for the 10-100PF Era" Speaker: William Tang (Director, Fusion Simulation Program at the Princeton Plasma Physics Laboratory (PPPL), Princeton) "Fusion Energy Sciences & Computing at the Extreme Scale" Speaker: John A. Turner (Group Leader of Computational Engineering & Energy Sciences , Oak Ridge National Laboratory) "Transforming Modeling and Simulation for Nuclear Energy Applications" Speaker: Loukas Petridis (Staff Scientist, Oak Ridge National Laboratory) "Computer Simulation of Lignocellulosic Biomass" Speaker: Jeroen Tromp (Director, Princeton Institute for Computational Science, Princeton) "Toward Global Seismic Imaging based on Spectral-Element and Adjoint Methods"

 
Topics:
HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2012
Session ID:
S2606
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