* Faculty       * Staff       * Students & Alumni       * Committees       * Contact       * Institute Directory
* Undergraduate Program       * Graduate Program       * Courses       * Institute Catalog      
* Undergraduate       * Graduate       * Institute Admissions: Undergraduate | Graduate      
* Colloquia       * Seminars       * News       * Events       * Institute Events      
* Overview       * Lab Manual       * Institute Computing      
No Menu Selected

* News

Joint Seminar, Computer Science and Electrical, Computer and Systems Engineering

Grand Challenges in Computational Science and Engineering, Numerical/Symbolic Computing: An NSF View

Lenore M. Mullin
Program Director, CISE CCF
Theoretical Foundations Cluster

Wednesday, May 16, 2007
JEC 3117 - 1:30 p.m.
Refreshments at 1:00 p.m.

Abstract:


Optimizing software to keep up with Moore.s Law requires Grand Challenges for algorithm, language, and library developers. Is it possible to identify algorithms and data structures pervasive across scientific disciplines with deterministic properties? Can we design and build algebraically closed numeric and symbolic programming languages such that optimal designs can be verified both semantically AND operationally? Cyber-enabled Discovery and Innovation (CDI), a multi-million dollar initiative at NSF, aims to explore radically new concepts, theories, and tools at the intersection of computational and physical worlds to address these issues. This talk will ask questions and pose answers to the community that will create Grand Challenges for Computational Science and Engineering.

Bio: Lenore Mullin joined the Division of Computing and Communications Foundations (CCF), NSF as the Program Director for Theoretical Foundations in Numeric, Symbolic and Algebraic Computing and Optimizations in October 2006. Mullin, also a professor of Computer Science and Physics, came to the University at Albany, SUNY, in 1995 with NSF’s Presidential Faculty Fellow (PFF) which allowed her to begin both an UG and Graduate program in Computational Science and High Performance Scientific Computing. Before joining academia she spent 14 years at IBM TJ Watson Research Center as both an applications and systems programmer in the APL Design Group and Real Time Speech Recognition Group. She spent a post doc at Oxford University and sabbatical at MIT Lincoln Laboratory supported by DARPA's Polymorphic Computing Architecture (PCA) project. Her degrees are in Mathematics Education, Solid State Physics-Materials Science and Computer Science. Combined with experience in both hardware and software development her perspectives of array based scientific computing and computational science in general are diverse. Her current research interests are in reconfigurable application specific computing: scientific algorithms and optimizations. She holds a patent with IBM and has authored numerous journal and conference publications.

Hosted by: Wei Zhao (x6305)

Last updated: February 27, 2006



---