Continuous and Ubiquitous Sharing Via

Date and Time: 
2014 April 9th - 1pm
CG - room TBD
Amit Chourasia

Continuous and Ubiquitous Sharing via

Nearly all scientific computation and analysis create intermediate results. These results are of vital importance as they form the basis for possible next steps. Timely, sharing of these results is essential for many researchers working as a team. However, current methods of sharing results are neither straightforward nor elegant.

SeedMe (Stream encode explore disseminate My experiments) is a platform-as- a-service infrastructure where users may ubiquitously access and continuously share results (including ad hoc results) and reusable components of their research within and outside their community. One core focus of SeedMe is to promote accessibility of preliminary and sometimes ephemeral content, which is vital to efficient and successful work. Our goal is to foster rapid assessment, iteration, communication and dissemination of research by seamless seeding of your results that is ubiquitously accessible on many devices.

This tutorial will provide a hands-on session showing how the infrastructure may be leveraged to share results continuously and ubiquitously from disk to device. Users will be able to apply the method learned in this tutorial in their own research.

Level: Beginner

Recommended setup for attendees:

  • Python 2.7.x or 2.6.x or 3.x.x installed on attendee╩╝s computer. Python know- how is not required.
  • Curl executable (Optional)
  • We will provide test accounts, but attendees are encouraged to register at (Optional)

SeedMe Features: See attachment

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.

PDF icon Presentation slides1.58 MB

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