Science Gateways Community Talk: SeedMe Platform

Start date
07/25/2014 12:00 EDT
End date
07/25/2014 13:00 EDT
Location
Ph: 866-939-8416, Passcode: 4906909#
Posted by Suresh Marru on 07/24/2014 18:49 UTC

This week’s XSEDE Science Gateway Community call features a talk Amit Chourasia and Mona Wong from SDSC discussing SeedMe Platform for Sharing Computational Results.

Call Time: 07/25 (Friday) at Noon Eastern (9 am Pacific).
Audio Line: Ph: 866-939-8416, Passcode: 4906909#
Web Conference: http://www.atconference.com/web-conferencing/login.php, Passcode: 4906909 (without the #)

Talk Abstract:
Most scientific computation and analyses create important transient data and preliminary results. Quick and effective assessments of these data are necessary for efficient use of researchers time and computation resources, but this process 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 ad hoc procedures to push results from system to system, and user to user, to guide the next step in their research. The SeedMe platform provides a web-based cyberinfrastructure to enable easy sharing and streaming of transient data and preliminary results directly 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 yet missing component in computing infrastructure.

Project Website: http://www.seedme.org

Speaker Bio’s:
Amit Chourasia is a Sr. Visualization Scientist at the San Diego Supercomputer Center (SDSC) where he leads the Visualization Services group. His work is focused on leading the research, development and application of software tools and techniques for visualization. Key portion of his work is to find ways to represent data in a visual form that is clear, succinct and accurate (a challenging yet very exciting endeavor). Recently, he got interested in developing result sharing infrastructure for researchers which led to the SeedMe Project.
Verbose Bio for Amit.

Mona Wong is a lead developer at the San Diego Supercomputer Center (SDSC). She has over 2 decades of software engineering experience in web, visualization and mobile applications. She has worked on numerous projects in the neuroscience, medical, and earthquake sciences. Recently she also joined the XSEDE ECSS Science Gateway team.