[Crib-list] TODAY: Speaker: ERIC POLIZZI (UMass, Amherst) -- Friday, Nov. 6th - TIME: 12Noon at 300 Technology Square, Second Floor, Room 202 - MIT Beaver Works

[Shirley Entzminger]

 	T O D A Y . . .


PLEASE NOTE -- different location for CRIBB talk.
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 		COMPUTATIONAL RESEARCH in BOSTON and BEYOND SEMINAR


DATE:		FRIDAY, NOVEMBER 6, 2015
TIME:		12:00 PM  1:00 PM

LOCATION:	MIT Beaver Works
 		300 Technology Square
 		Building NE45-202 -- 2nd Floor, Room 202

 		http://whereis.mit.edu/?mapterms=NE45-202&mapsearch=go


 	Pizza and beverages will be provided at 11:45 AM.



TITLE:		FEAST Eigensolver:
 		Breakthrough, Challenges and Opportunities


SPEAKER:	ERIC POLIZZI  (University of Massachusetts, Amherst)


ABSTRACT:

The FEAST solver (www.feast-solver.org) is a new open source numerical library 
for solving the eigenvalue problem, which has also been recently integrated 
into the INTEL-MKL library. The solver is based on an innovative numerical 
algorithm - the FEAST algorithm - which represents a departure from textbook 
approaches for solving the eigenvalue problem. FEAST is using elements of 
complex analysis, numerical linear algebra and approximation theory, to offer a 
set of important capabilities for achieving high-performance, robustness, 
accuracy, and potential for linear scalability on parallel architectures. 
Since the first FEAST publication in 2009, we have been working on (i) 
establishing a solid mathematical foundation for the algorithm that 
successfully demonstrates its fast convergence property [SIAM. J. Matrix Anal. 
& Appl. 35, 354 (2014)]; (ii) advancing the algorithm development to broaden 
the class of eigenvalue problems that can be addressed (e.g. non-Hermitian and 
non-linear); as well as (iii) enhancing its multilevel parallel performances to 
achieve load balancing on high-end computing platform.  Finally, we will also 
discuss how FEAST has considerably broaden the perspectives for enabling 
reliable and high-performance first-principle electronic structure calculations 
with applications in computational material nanosciences and device 
nanoengineering.

BIO: Prof. Eric Polizzi, Associate Professor in the Department of Electrical 
and Computer Engineering and Department of Mathematics and Statistics, 
University of Massachusetts, Amherst  -- http://www.ecs.umass.edu/~polizzi/

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Massachusetts Institute of Technology
Cambridge, MA


For information about the Computational Research in Boston and Beyond Seminar 
(CRIBB), please visit...


 			http://math.mit.edu/crib/