Time: July 23, 2013 from 6:15pm to 8:30pm
Location: University of Colorado Boulder
Street: ATLAS -1125 18th St Bldg 223 - Room 100
City/Town: Boulder, Colorado
Website or Map: http://www.meetup.com/Data-Sc…
Event Type: free, and, open, to, all
Organized By: Michael Walker
Latest Activity: Jul 2, 2013
Register @ http://bit.ly/13pvALs
University of Colorado Boulder - Tuesday July 23, 2013 @ 6:00pm MST / 5:00pm PST / 8:00pm EST
For folks unable to attend in person register and we will email you a livestream link 2 hours prior to event.
Location: ATLAS - 1125 18th St Bldg 223, Boulder, CO - Room 100 - Map: http://goo.gl/maps/XTJ9v
6:00 - 6:15 Schmooze - Food will be served in Lobby.
6:15 - 7:30 Rethinking Cyberinfrastructure for Climate Data Analysis Workflows by Dr. Richard Loft
7:30 - 8:30 Data Scientists vs. Data Engineers by Dr. Arvind Sathi
8:30 - 9:30 Network at The Sink at 1165 13th Street.
Rethinking Cyberinfrastructure for Climate Data Analysis Workflows - Abstract
Advancements in the computational capability of massively parallel supercomputers have offered the Earth system science community an unprecedented opportunity to dramatically improve its understanding of the Earth system. This has spurred a focused effort, over many years, to improve Earth system model scalability and performance. However it has recently become painfully evident that the ancillary data analysis software and hardware systems have become the rate-limiting step in advancing scientific understanding. There are three reasons for this development: first, the rate of improvement in computing system has outpaced improvements in storage system performance; second, many workflows and tool remain serial, while applications have become increasingly parallelized; and third, many analysis tools and applications make inefficient use of the underlying hardware.
This talk will cover the history and current state of Earth system modeling and data analysis, show how capabilities of the NCAR Wyoming Supercomputing Center are advancing that state, and suggest how infrastructure and the analysis software can and must coevolve to address the massive amounts of data. The discussion will be framed through experiences at NCAR in pushing the boundaries of what is possible in data centric computing, and the trends influencing the next co-evolutionary steps.
Dr. Loft has been involved with massively parallel computing since joining Thinking Machine Corporation as an Application Engineer in 1989. Throughout his career he has contributed to the understanding and effective use of parallelism as applied to grand challenge simulations. His algorithmic innovations dramatically improved the scalability of the atmospheric component of the Community Earth System Model, and were recognized with an honorable mention prize in the IEEE/ACM Gordon Bell competition at Supercomputing 2001. Rich is currently the Director of Technology Development Division in the Computational and Information Systems Laboratory at NCAR. TDD is charged with improving application scalability and performance, exploring the use of new computer technologies, and developing software to serve and analyze large or complex datasets. He also serves as NCAR’s representative to the eXtreme Science and Engineering Discovery Environment (XSEDE) Service Provider Forum (SPF) and oversees NCAR’s participation in the XSEDE project. Dr. Loft also leads the Outreach Services Group for the CISL computing laboratory at NCAR. The education of future computational scientists is an area he is passionate about, which is why he founded the Summer Internships in Parallel Computational Science, or SIParCS program in 2007.
Register @ http://bit.ly/13pvALs