Sharing computational results via SeedMe platform

Date and Time: 
2015 April 13 @ 1:30pm
FL2-1022 Large Auditorium
Amit Chourasia

Computational simulations have become an indispensable tool in a wide variety of science and engineering investigations. Nearly all scientific computation and analyses create important transient data and preliminary results. These transient data include information dumped while a job is running, such as coarse output and run statistics. Preliminary results include data output by a running or finished job that needs to be quickly processed to get a view of the job’s success or failure. These job output data provide vital guidance that helps scientists review a current job and adjust parameters for the next job to run. Quick and effective assessments of these data are necessary for efficient use of the computation resources, but this is complicated when a large collaborating team is geographically dispersed and/or some team members do not have direct access to the computation resource and output data. Current methods for sharing and assessing transient data and preliminary results are cumbersome, labor intensive, and largely unsupported by useful tools and procedures. Each research team is forced to create their own scripts and ad-hoc procedures to push data from system to system, and user to user, and to make quick plots, images, and videos to guide the next step in their research. These custom efforts often rely on email, ftp, and scp, despite the ubiquity of much more flexible dynamic web-based technologies and the impressive display and interaction abilities of today’s mobile devices.

This talk introduces SeedMe platform that provides web-based building blocks and cyberinfrastructure to enable easy sharing and streaming of transient data and preliminary results from computing resources to a variety of platforms, from mobile devices to workstations, and make it possible to quickly and conveniently view and assess results and provide an essential missing component in High Performance Computing (HPC) and cloud computing infrastructure The presentation will include a short demonstration of SeedMe platform and tools.

Project Website:

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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