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6th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2013
Co-located with Supercomputing/SC 2013Denver Colorado -- November 17th, 2013
Keynote
- Associate Professor and Director of Graduate Studies, Department of Computer Science and Engineering, University of Notre Dame
- Associate Professor, College of Engineering, University of Notre Dame
Toward a Common Model for Highly Concurrent Applications
Abstract: Once widely separate, the distributed and parallel programming communities are rapidly converging towards common ideas for designing massively parallel applications. Distributed programming models have long focused on robustness at scale by sacrificing some performance and generality, while parallel programming models have focused on performance at the expense of robustness and expressiveness. This talk will explore how both communities are adopting techniques from the other, and consider whether they will meet in the middle, or reach something new entirely.
Prof.
Douglas Thain is an Associate Professor in the Department of Computer
Science and Engineering at the University of Notre Dame. He received
the B.S. in Physics from the University of Minnesota - Twin Cities and
the M.S. and Ph.D. in Computer Sciences from the University of Wisconsin
- Madison, where he contributed to the Condor distributed computing
system. At Notre Dame, he works closely with researchers in multiple
fields of science and engineering to attack scientific problems using
large scale computing. His research team creates and publishes open
source software that is used around the world to harness large scale
computing systems such as clusters, clouds, and grids. Prof. Thain
teaches a variety of undergraduate and graduate courses in fundamentals
of computing, operating systems, compilers, and distributed systems. He
is the recipient of multiple teaching awards, including the CSE
Department Undergraduate Teaching Award, the College of Engineering
Outstanding Teacher of the Year and the Notre Dame Edmund Joyce C.S.C
Award for Excellence in Undergraduate Teaching.