Schedule for the workshop

Slides

Theme: What do we want and what can we expect from applying parallel techniques to pure mathematics research tools?

9:00 Clement Pernet (University of Waterloo): Parallelism perspectives for the LinBox library PDF slides
10:30 Brian Granger (Tech X Corp): Interactive parallel computing using Python and IPython PDF slides Demo.
11:30 Jean-Louis Roch (INRIA Moais / LIG, France): Processor-oblivious parallel algorithms with provable performances PPT slides (7.6MB)

1:30 Henry Cohn (Microsoft Research): Parallel computation tools for research: a wishlist PDF slides

Theme: Algebra

9:00 Kathy Yelick (UC Berkeley): Programming models for parallel computing PDF slides
10:30 Yozo Hida (UC Berkeley): Moving Lapack and ScaLapack to higher precision without too much work PDF slides
11:30 Alfred Noel (UMass Boston/MIT): Structure and representations of real reductive Lie groups: A computational approach
1:30 Anton Leykin (IMA, Minnesota): Parallel computation of Groebner bases in the Weyl algebra PDF slides
2:00 Vladimir Tonchev (Michigan Tech): Combinatorial designs and code synchronization

Theme: Number Theory

9:00 Jason Martin (James Madison): MPMPLAPACK: The Massively Parallel Multi-Precision Linear Algebra Package PDF slides
10:30 Bill Hart (Warwick): Parallel computation in number theory PDF slides
11:30 Yi Qiang (U Washington): Distributed computing using SAGE PDF slides
1:30 Robert Bradshaw (U Washington): Loosely dependent parallel processes slides
2:00 Ilias Kotsireas (Laurier U, Canada): Combinatorial Designs: constructions, algorithms and new results PDF slides

Theme: Geometry

9:00 Jan Verschelde (UIC): Parallel homotopy algorithms to solve polynomial systems PDF slides
10:30 Marc Moreno Maza (Western Ontario): Component-level parallelization of triangular decompositions
11:30 David Bailey (Lawrence Berkeley Labs): Experimental mathematics and high-performance computing PDF slides
1:30 Thomas Wolf and Winfried Neun: Parallel sparsening and simplification of systems of equations PPT slides (Neun)

Theme: Large-Scale Parallel Computation

9:00 Alan Edelman (MIT): Interactive parallel supercomputing: Today: MATLAB(r) and Python coming cutting edge: symbolic parallelism with Mathematica(r) and MAPLE(r)
10:30 Gene Cooperman (Northeastern U): Disk-based parallel computing: a new paradigm PDF slides
11:30 Robert Harrison (Oak Ridge National Lab): Science at the petascale: tools in the tool box
1:30 Samee Khan (U Texas, Arlington): Game theoretical solutions for data replication in distributed computing systems