The NVIDIA Research Summit is a cross-disciplinary forum targeting researchers interested in using GPUs in science and engineering. Attendees new to GPU computing will learn how GPU computing can drastically increase computational power and dramatically reduce time-to-discovery; attendees already using GPU computing can showcase their work, network with each other, learn advanced topics in GPU computing, and discuss their work with NVIDIA engineers and researchers.

Join your colleagues, researchers in other fields, and the NVIDIA Research Group for this valuable opportunity to gather, learn, and collaborate. Researchers are achieving tenfold to hundredfold speedups using GPUs in fields ranging from molecular dynamics to astrophysics, from genomics to fluid dynamics. Come and learn how you can use, or better use, GPU computing technology in your own work.

Key Sessions from the 2009 NVIDIA Research Summit

• Massively Parallel Scientific Computing by Dr. Hanspeter Pfister (Harvard). Learn how scientists at Harvard are using GPUs to perform revolutionary science on topics ranging from the origins of the universe to the wiring of the brain.
• An in-depth look at “Visual Computing Trends” with presentation topics including:
• Computer Vision by Dr. Horst Birschof (Technical University of Graz)
• Mobile Augmented Reality by Dr. Blair MacIntyre (Georgia Tech)
• Visual Analytics by Prof. Pat Hanrahan (Stanford)
• Advanced Numeric Computing Techniques on the GPU.  Dr. Tim Warburton of Rice University will introduce the high-order discontinuous Galerkin (DGTF) finite element methods for solving the time dependent Maxwell’s equations and highlight how the methods naturally lend themselves to thread block GPU implementations.
• Supercomputing on the GPU – a 3 hour super session detailing how GPU computing is transforming the extreme high-end realms of supercomputing.  Hear from industry experts such as Wen-mei Hwu (UIUC), Satoshi Matsuoka (TITech), John Taylor (CSIRO), Jeffrey Vetter (ORNL/GA Tech), and James Phillips (UIUC). 
• Astrophysics – a half day track dedicated to exploring how the GPU can obtain sizable speedups in several different areas such as binary black hole inspirals and post-Newtonian evolutions, particle-based codes, ray-casting astrophysical simulation data, fluid simulation, and roundtable discussions.
• Special Guest Professor Pat Hanrahan (Stanford) will discuss domain-specific languages and their application to GPU computing.
• Advanced topics in CUDA such as optimization strategies and multi-GPU computing.
• Plus much more to choose from.

Additional Sessions Include

• Moderated “Research Roundtable” discussions led by your peers
• Research Summit Poster Session & Social (open to Research Summit Registrants only):  with over 100 submissions, we will have an amazing poster session and social where you can not only review ground-breaking work by your colleagues but also network with colleagues, researchers from other fields, and NVIDIA researchers and engineers.  Hors d'oeuvres will be provided.

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Important Note on the NVIDIA Research Summit Pass
The NVIDIA Research Summit targets academic researchers and is priced accordingly. Please register with your academic institution email; we may ask you to verify your academic affiliation. Industrial and government researchers are welcome and encouraged to attend Research Summit sessions, but will need to purchase a Full Conference pass.

Maximize Your Conference Experience with Pre-Event Tutorials and Webinars
Take advantage of our pre-conference tutorials and webinars to get up to speed on programming languages and APIs for the GPU. Doing so prior to the event will help you maximize your time during the advanced technical sessions and discussions. Pre-conference tutorials will be held before the keynotes on Wednesday, September 30 (please see schedule for details). Additionally, there are on-going webinars and other archived resources on NVIDIA.com, CUDA Zone and Developer Zone.