UPDATE: Due to the potential storm affecting the DC Metro region, this lecture has been postponed.
The National Science Foundation (NSF) Directorate for Computer and Information Science and Engineering (CISE) is pleased to announce a Distinguished Lecture on Thursday, February 13, 2014 at 11:00 am (EST) by Dan Reed titled The Future of Computing-Mediated Research. Reed is currently the Vice President for Research and Economic Development, as well as University Chair in Computational Science and Bioinformatics and Professor of Computer Science, Electrical and Computer Engineering and Medicine, at the University of Iowa. He has a distinguished research career spanning academia and industry, including Chair of the Board of the Computing Research Association (CRA) from 2005 – 2009.
Abstract
In science and engineering, a tsunami of new experimental and computational data and a suite of increasingly ubiquitous sensors pose vexing problems in data analysis, transport, visualization and collaboration. Supercomputers of unprecedented scale now allow us to model phenomena with a resolution heretofore unimaginable. Cloud computing and “big data,” together with our experiences with clusters and grids, are extending our notions of computational science and engineering, bringing technical, political and economic challenges.
What are the software structures and capabilities that best exploit these capabilities and economics while providing application compatibility and community continuity? What are the appropriate roles of public clouds relative to local computing systems, private clouds and grids? How can we best exploit elasticity for peak demand? How do we optimize performance and reliability? How do we provide privacy and security? How do we balance traditional HPC investments against distributed systems and big data opportunities and avoid past research infrastructure pitfalls? How do we integrate the emerging Internet of Things and ubiquitous sensors for multidisciplinary fusion, while also managing security and privacy?
To view the webinar of this lecture, please register here by 11:59 pm EST on February 12, 2014.
