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.
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