Tuesday 11/17/09
	Accelerating Market Value-at-Risk Estimation on GPUs Presented by Matthew Dixon, University of California, Davis
	Turbostream: A CFD Solver for Many-core Processors Presented by Tobias Brandvik, Whittle Laboratory, University of Cambridge
	GPU Acceleration: a Fad or the Yellow Brick Road onto Exascale? Presented by Satoshi Matsuoka, Tokyo Institute of Technology
	Overview of NVIDIA CUDA Support in AMBER Presented by Ross Walker, University of California, San Diego
	Next Generation GPU Architecture Code-named 'Fermi' Presented by Jonathan Cohen, Senior Research Scientist NVIDIA
	A Powerful IDE for GPU Computing on Windows Codenamed 'Nexus' Presented by Stephen Jones, Product Line Manager, NVIDIA
	Languages, APIs and Development Tools for GPU Computing Presented by Will Ramey, Product Line Manager, NVIDIA
	Wednesday 11/18/09
	A Linear Algebra Library for Multicore/Accelerators: the PLASMA/MAGMA Collection Presented by Jack Dongarra, University of Tennessee
	Keeneland - An NSF Funded Partnership To Enable Large Scale Computational Science with Heterogeneous Computing Presented by Jeffery Vetter, Oak Ridge National Laboratory
	Harnessing GPU Speed to Accelerate LAMMPS Particle Simulations Presented by Paul Crozier, Sandia National Laboratory
	Accelerating Molecular Modeling Applications with GPU Computing
	Presented by John Stone, University of Illinois
	The Future of HPC
	Presented by Bill Dally, Chief Scientist, NVIDIA
	The Next Generation CUDA Architecture, Code Named Fermi - The Soul of a Supercomputer in the Body of a GPU
	Presented by Michael Garland, NVIDIA
	Application of GPUs to Solve the Systems of Linear Equations That Arise in Lattice Quantum Chromodynamics (lattice QCD)
	Presented by Mike Clark, Harvard University
	Thursday 11/19/09
	Low Power Data-Intensive Computing Using the NVIDIA ION Platform
	Presented by Alex Szalay, Johns Hopkins University
	To GPU Synchronize or Not GPU Synchronize
	Presented by Wu-chun Feng, Virginia Tech