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How Do You Cram a Black Hole into a GPU? Find Out at NVISION 08
Posted by Julie Morgan, Thursday August 21 2008 @ 01:25PM EDT

Just as a black hole pulls everything toward it, the NVISION® 08 event in San Jose next week is pulling in experts and practitioners in the field from all over the world. The NVISION 08 visual computing conference, being held in San Jose, CA on 25-27 August, includes a CUDA Developer Conference for software developers interested in accelerating their applications using the NVIDIA® CUDA™ software development environment, which is based on the industry-standard C programming language.

With CUDA technology becoming a standard in the computing market, the CUDA Developer Conference is a must-attend event for university researchers and commercial software developers. Sessions are designed for both experienced CUDA programmers as well as those new to the technology.

One of the highlights will be a session by William Dorland of the University of Maryland and his work in porting simulations of black hole dynamics, as well as ported plasma turbulence and n-body dynamics to clusters of NVIDIA GPUs, using CUDA technology. Modest-size codes, of a few thousand lines, were ported to the GPU hardware in less than a day with speedups of 25-30 times that achieved with traditional architectures. By moving to clusters of high-performance GPUs, Dorland expects to be able to produce results on an inexpensive, many-teraflop local cluster.

Other highlights of the event include:

- A panel discussion on the future of parallel and GPU computing, moderated by Dr. David Kirk, chief scientist at NVIDIA, and featuring Dr. Wen-mei Hwu of the University of Illinois at Urbana-Champaign, Satoshi Matsuoka of the Tokyo Institute of Technology, and Kathy Yelick of the Lawrence Berkeley National Laboratory.

- A session by John Stone of the University of Illinois at Urbana-Champaign, on accelerating computational biology programs up to 100 times using CUDA technology.

- A roundtable discussion on how to teach parallel programming using CUDA technology, led by Dr. Wen-mei Hwu of the University of Illinois at Urbana-Champaign.

- A session on next-generation computer vision using CUDA technology, by Joseph Stam of NVIDIA.

The CUDA Developer Conference will also include workshops on CUDA development tools and libraries, basic and advanced training on how to develop applications using CUDA technology, and demonstrations and discussions of the performance gains and cost savings achieved. Participants in these sessions include leading industry and academic experts in the fields of molecular dynamics and computational chemistry; computational finance and quantitative risk analysis; geophysical and seismic processing; video, imaging, and computer vision; astrophysics and astronomy; and more.

Attendees should not miss this great opportunity to meet their peers in compute-intensive fields who have achieved significant performance and cost benefits and who, by leveraging CUDA technology and the parallel architecture of the GPU, have reached research and business goals they could not have otherwise attained.

Registration for the NVISION 08 conference is open now. Complete information on the CUDA Developer Conference, including how to register, can be found at:


For more information on NVIDIA CUDA technology, visit http://www.nvidia.com/cuda


NVIDIA is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce graphics products, the professional design and visualization market with its Quadro® graphics products, and the high-performance computing market with its Tesla™ computing solutions products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. NVIDIA's inaugural NVISION 08 conference will be held August 25-27, 2008 in San Jose, California. For more information, visit http://www.nvidia.com and http://www.nvision2008.com

< OptimaNumerics partners with NVIDIA to support NVIDIA Tesla GPU Platform | NVIDIA CUDA 2.0 Released to Production >



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