===firstname:
Massimiliano
===firstname3:
Michele
===affil6:
Oak Ridge National Laboratory
===lastname3:
Benzi
===email:
mlupopa@emory.edu
===keyword_other2:

===lastname6:
Slattery
===affil5:
Oak Ridge National Laboratory
===lastname4:
Evans
===lastname7:

===affil7:

===postal:
1659 Briarcliff Rd NE, 1335 C
Atlanta, GA (USA)
Zip Code: 30306
===ABSTRACT:
The next generation of computational science applications will require numerical
solvers that are both reliable and capable of high performance on projected exascale
platforms. In order to meet these goals, solvers must be resilient to soft and hard
system failures, provide high concurrency on heterogeneous hardware configurations,
and retain numerical accuracy and efficiency.

In this talk we discuss hybrid deterministic-stochastic iterative algorithms for the solution
of large, sparse eigenvalue problems with the ultimate goal of developing resilient solvers suitable for use on massively parallel architectures.
===affil3:
Emory University - Department of Mathematics and Computer Science
===title:
Monte Carlo Acceleration of Iterative Solvers for Eigenvalue Problems
===affil2:
Emory University - Department of Mathematics and Computer Science
===lastname2:
Lupo Pasini
===firstname4:
Thomas
===keyword1:
Iterative Linear Algebraic Data Mining Techniques
===workshop:
no
===lastname:
Lupo Pasini
===firstname5:
Steven
===keyword2:
NOT_SPECIFIED
===otherauths:

===affil4:
Oak Ridge National Laboratory
===competition:
no
===firstname7:

===firstname6:
Stuart
===keyword_other1:

===lastname5:
Hamilton
===affilother:

===firstname2:
Massimiliano