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NVIDIA GPU Computing Theater
Tuesday, November 17, 2009
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11:00 Accelerating Market Value-at-Risk Estimation on GPUs Matthew Dixon, University of California Davis |
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12:00 Turostream: A CFD Solver for Many-Core Processors Tobias Brandvik, Whittle Laboratory, University of Cambridge |
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1:00 GPU Acceleration: a Fad or the Yellow Brick Road onto Exascale? Professor Satoshi Matsuoka, Global Scientific Information and Computing Center (GSIC) of Tokyo Institute of Technology (Tokyo Tech) |
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2:00 A Powerful IDE for GPU Computing on Windows: Code Named Nexus Stephen Jones, NVIDIA |
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3:00 Languages, APIs and Tools for GPU Computing on the CUDA Architecture Will Ramey, NVIDIA |
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4:00 Overview of NVIDIA CUDA Support in AMBER- Lessons Learned, Capabilities Gained Ross Walker, University of California San Diego, San Diego Supercomputing Center |
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5:00-5:30 The Next Generation CUDA Architecture, Code Named Fermi The Soul of a Supercomputer in the Body of a GPU Jonathan Cohen, NVIDIA |
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Wednesday, November 18, 2009
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10:30 A Linear Algebra Library for Multicore/Accelerators: the PLASMA/MAGMA Collection Jack Dongarra, University of Tennessee |
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11:00 An NSF Funded Partnership To Enable Large Scale Computational Science with Heterogeneous Computing Jeffrey Vetter, Oakridge National Labs/Georgia Tech |
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12:00 Harnessing GPU Speed to Accelerate LAMMPS Particle Simulation Paul Crozier, Sandia National Laboratory |
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1:00 Accelerating Molecular Modeling Applications with GPU Computing John Stone, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign |
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1:30 A Powerful IDE for GPU Computing on Windows: Code Named Nexus Stephen Jones, NVIDIA |
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2:00 The Future of HPC, GPU Computing Bill Dally, NVIDIA |
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3:00 Application of GPUs to Solve the Systems of Linear Equations That Arise in Lattice Quantum Chromodynamics (lattice QCD) Michael Clark, Harvard University |
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4:00 Data Analysis and Visualization on Emerging Architectures Patrick McCormick, Los Alamos National Laboratory |
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Coming Soon |
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5:00 Languages, APIs and Tools for GPU Computing on the CUDA Architecture Will Ramey, NVIDIA |
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Thursday, November 19, 2009
| 11:00 Low Power Data-Intensive Computing Using the ION Platform Alex Szalay, Johns Hopkins University |
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12:00 A Powerful IDE for GPU Computing on Windows: Code Named Nexus Stephen Jones, NVIDIA |
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1:00 The Next Generation CUDA Architecture, Code Named Fermi The Soul of a Supercomputer in the Body of a GPU Michael Garland, NVIDIA |
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2:00 To GPU Synchronize or Not GPU Synchronize Wu-chun Feng, Virginia Tech |
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3:00 Languages, APIs and Tools for GPU Computing on the CUDA Architecture Will Ramey, NVIDIA |
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