Sandia Research (2009-present)
As a postdoc at Sandia, I have been working primarily on the following three projects.
Extreme-scale Algorithms and Software Institute (EASI)
I have been working to develop architecture-aware algorithms for scalable performance as
part of the Extreme-scale Algorithms and Software Institute (EASI).
The basic idea behind this project is that there is a significant discrepancy between the
theoretical peak performance of a supercomputer and the realized performance of important
large-scale computational science applications.
The thrust of this project is to improve the parallel performance of these applications to realize
a higher percentage of this peak performance.
My early work has been on developing parallel triangular solvers for multi-core and many-core
I have also been working on the NNSA BER Climate Research Project, to migrate FV-MAS
(finite volumes for modeling across scales) into high-performance computing environments
such as leadership class supercomputers.
My efforts will be mostly focused on improving the parallel performance of the parallel
software and interfacing the climate modeling code with the load-balancing and ordering
tools in Zoltan.
I will also be involved in developing a communication abstraction to allow for the usage
of different parallel programming models within the climate application.
I have been continuing some of my thesis work as part as the
Institute for Combinatorial Scientific Computing and Petascale Simulations
In particular, I have been researching and developing two-dimensional
sparse matrix partitioning algorithms.
The plan is for these new 2D algorithms (as well as previously developed 2D methods) to be integrated into
so they will be readily available for
UIUC Research (2003-2009)
SLAC Research (1998-2003)
Michael M. Wolf — Postdoc
Sandia National Labs
P.O. Box 5800
Albuquerque, NM 87185-1320