SEEDME: Your results from disk to device

Date and Time: 
2013 Monday, April 1
CG1 Auditoriums
Amit Chourasia

Authors: Amit Chourasia, Mona Wong, Michael Norman

Computational simulations have become an indispensable tool in a wide variety of science and engineering investigations. With the rise in complexity and size of computational simulations, it has become necessary to continually and rapidly assess simulation output. Visualization plays an important and critical role for qualitative assessment of raw data. The result of many visualization processes is a set of image sequences, which can be encoded as a movie and distributed within and beyond the research groups doing the simulations. The movie encoding process is a computationally intensive, manual, serial, cumbersome and complicated process as well as one that each research group must undertake. Furthermore, sharing visualizations within and outside the research groups requires additional effort. On the other hand, the ubiquity of portable wireless devices has made it possible and oftentimes desirable to access information anywhere and at anytime, yet the application of this capability for use in computational research and outreach has been negligible. We are building a cyberinfrastructure to fill these gaps by using a combination of hardware and software. SEEDME will enable seamless sharing and streaming of visualization content on a variety of platforms from mobile devices to workstations making it possible to conveniently view the results and provide an essential yet missing component in computational research and current High Performance Computing (HPC) infrastructure.

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Speaker Description: 

Amit Chourasia leads the Visualization Services group at the San Diego Supercomputer Center. His work is focused on leading the research, development and application of software tools and techniques for scientific visualization; for data typically generated by massively large computer simulations in various fields of science and engineering. Key aspect of his work is to find ways to represent data in a visual form that is clear, succint and accurate (a challenging yet very exciting endeavour).

Amit's application and research interests are in area of animation, computer graphics, visualization and visual perception. He received a Master's degree in Computers Graphics Technology from Purdue University, West Lafayette and a Baccalaureate degree in Architecture (Honors) from Indian Institute of Technology, Kharagpur. Notable accolades for his work include Honorable Mention at International Science & Engineering Visualization Challenge 2010, Outstanding Achievement in Scientific Visualization award at the SciDAC 2011 & 2009 and Best Visualization Display award at TeraGrid 2011 & 2008 conferences. His visualization work has been featured at Siggraph Animation Festival, Siggraph Real Time Demos, documentaries by National Geographic and History Channel and many other news and media outlets.

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