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

Shirley Entzminger daisymae at math.mit.edu
Mon Nov 2 16:37:57 EST 2015


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/






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