NVIDIA GPU Computing Theater

10:00-10:30 Faster, Cheaper, Better: Biomolecular Simulation with NAMD, VMD, and CUDA
John Stone, University of Illinois at Urbana-Champaign
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11:00-11:30 Parallel Programming with CUDA C
Geoff Gerfin, NVIDIA
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12:00-12:30 Large-Scale GPU Computing of Multi-Phase Flow
Wei Ge, Institute of Process Engineering, Chinese Academy of Sciences
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1:00-1:30 Supercomputing for the Masses: Killer-Apps, Parallel Mappings, Scalability and Application Lifespan
Robert Farber, Pacific Northwest National Laboratory
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2:00-2:30 Keeneland – A NSF Heterogeneous Computing Resource for Open Computational Science
Jeffrey Vetter, Oak Ridge National Laboratory/Georgia Tech
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3:00-3:30 CUDA-Accelerated  Linpack on Clusters with GPUs
Everett Phillips, NVIDIA Corporation
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3:30-4:00 First Look at the World's Fastest Supercomputer
Andy Keane, NVIDIA Corporation
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4:00-4:30 Large Scale Distributed GPU Isosurfacing
Paul Navratil, Texas Advanced Computing Center
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5:00-5:30 NVIDIA Research Session: High-Productivity CUDA Development with the Thrust Template Library
Nathan Bell, NVIDIA Research
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10:00-10:30 GPU Cloud Computing Case Study in Civil Engineering using RealityServer®
Paul Arden, mental images and Tamrat Belayneh, ESRI
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11:00-11:30 NVIDIA Research Session: GPU Computing for Computational Science
Jon Cohen, NVIDIA Research
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12:00-12:30 TSUBAME 2.0 Supercomputer
Satoshi Matsuoka, Global Scientific Information and Computing Center (GSIC) of Tokyo Institute of Technology (Tokyo Tech)
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1:00-1:30 PGI CUDA C for Multi-core x86 Processors
Michael Wolfe, The Portland Group
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2:00-2:30 Large-Scale CFD and a Full GPU Implementation of Weather Prediction Code on the TSUBAME Supercomputer
Takayuki Aoki, Global Scientific Information and Computing Center (GSIC) of Tokyo Institute of Technology (Tokyo Tech)
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3:00-3:30 A Linear Algebra Library for Multi-core/Accelerators: the PLASMA/MAGMA Collection
Jack Dongarra, University of Tennessee
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3:30-4:00 First Look at the World's Fastest Supercomputer-Tianhe 1
Andy Keane, NVIDIA
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4:00-4:30 GPU Considerations for Next Generation Weather Simulations
Thomas Schulthess, Swiss National Supercomputing Centre
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5:00-5:30 GPU Cloud Computing 101: Getting Started
Dale Southard, NVIDIA
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5:30-6:00 Parallel Programming with CUDA Fortran
Greg Ruetsch, NVIDIA
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10:00-10:30 Parallel Nsight: A Powerful Development Environment for GPU Computing on Windows
Rafael Campana, NVIDIA
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11:00-11:30 GPU Computing: To ExaScale and Beyond
Bill Dally, NVIDIA Research
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12:00-12:30 Using GPUs to Run Next-Generation Weather Models
Mark Govett, National Oceanic and Atmospheric Administration
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1:00-1:30 A Hybrid Programming Model for Compressible Gas Dynamics Using OpenCL
Ben Bergen, Los Alamos National Laboratory
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2:00-2:30 Heterogeneous Architectures and the Green 500
Wu Feng, Virginia Tech
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