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Thursday, June 25, 2009 9:00 am – 10:30 am Hall B2.1 |
For a detailed schedule of this session, please click here. |
Simulations are producing huge amounts of data in shorter time than ever before. This leads to the current situation where analysis time is often exceeding the simulation time and thus is dominating the overall engineering process. Advanced visualization and analysis methods can help to overcome this bottleneck. The aim of this session is to provide examples of how new visualization and analysis methods can be applied to solve today's science and engineering problems.
Steve Cutchin, who was head of the SDSC viz group in San Diego, is now leading the viz team at KAUST, the new mega-university in Saudi Arabia. He will be installing a world-class viz/VR facility and research program, including a 24-Sony SXRD 100-megapixel 6-wall CAVE. Steve will be presenting how they are using their VR systems to visualize simulation results of the big BlueGene/P at KAUST and how they collaborate over high performance network links with other Visualization centers worldwide.
DOE SciDAC established the Visualization and Analytics Center for Enabling Technologies (VACET) in 2007 in order to develop, adapt and extend data analysis solutions for the needs of DOS's high performance computing facilities. Chuck Hansen, Associate Director at SCI institute, Utah will be giving an overview of the first two years of exciting research at VACET and he will show new visualization techniques producing amazing pictures of simulation results.
Uwe Wössner from HLRS will present how Virtual- and Augmented Reality can be combined with remote supercomputer resources to create hybrid prototypes and how these techniques can be applied to medical, chemical or engineering application areas. Among others, he will show how you can move around cluster nodes in a virtual computer room and analyze the temperature distribution and effectiveness of the air conditioning within seconds using an interactive simulation.
Everyone should attend this session who is solving problems which will not be answered by the simulation through a simple yes or no or a single number.