SHARCNET
HOME
AGENDA
SPEAKERS
LOCATION AND HOTEL
REGISTRATION
TRAVEL INFO
CONTACT
SPONSORSHIP INFORMATION





EVENT POSTER
PRESENTATIONS
GALLERY
PAST WORKSHOPS

Speakers


Himanshu Misra, Ph.D. is an engineer with SGI.


Justin W. L. Wan is a professor of computer science at the University of Waterloo and the Canada Research Chair in Scientific Computing. His research interests include development of robust multigrid and multiscale methods for solving elliptic and hyperbolic partial differential equations, biomechanical simulation of the brain, physically-based animation of natural phenomena, medical image registration, computational finance, and parallel computation.


Michael McCool is a professor in the Computer Graphics Lab within the Department of Computer Science at the University of Waterloo. His current research efforts are targeted at enabling high-performance parallel applications by the development of advanced programming technologies. Research interests include interval analysis, Monte Carlo and quasi-Monte Carlo numerical methods, optimization, simulation, sampling, cellular automata, real-time computer graphics, vision, image processing, hardware design, and programming languages and development platforms.

Michael is also the Chief Scientist and co-founder of RapidMind Inc. RapidMind develops a programming platform that targets high-performance parallel machines and multicore processors including the Cell BE and GPUs. This platform provides a single-source solution for high-level but efficient parallel programming using existing C++ compilers. See also http://www.rapidmind.ca/.


Marc Moreno Maza is a professor of computer science at The University of Western Ontario and one of the principal investigators of the Ontario Research Center for Computer Algebra (ORCCA) at the University of Western Ontario (UWO). He is also one of the principal developers of the Aldor compiler and libraries (Aldor). his research is devoted to solving systems of polynomial equations by means of exact methods. Typical questions answered by these methods in this area are: does this system have a finite number of complex solutions? If yes, which ones are the real solutions? Exact methods are well suited also for problems where the desired output is a system of equations with special requirements or governing a physical phenomenon.


Jeffrey S. Racine is a professor in the Department of Economics at McMaster University. His research interests are in the areas of nonparametric estimation and inference, cross-validatory model selection, and entropy-based measures of dependence and their statistical underpinnings. He has also been interested in parallel distributed computing paradigms and their application to computationally intensive nonparametric estimators.


Angela Sodan is a professor of computer science at the University of Windsor. Her research area is systems software for cluster and grid computing. Here current interests include job scheduling and adaptive middleware for clusters and grids. See also http://davinci.newcs.uwindsor.ca/~acsodan.


L.V. Kale is a professor of Computer Science at the University of Illinois at Urbana-Champaign and Leader of the Parallel Programming Laboratory (http://charm.cs.uiuc.edu).

The goal of the Parallel Programming Laboratory is to develop technology that improves performance of parallel applications while also improving programmer productivity: to reach a point where, with a freely distributed software base, complex irregular and dynamic applications can (a) be developed quickly and (b) perform scalably on machines with thousands of processors. A key achievement of the PPL is the Charm++ parallel language which simplifies parallel programming and provides automatic load balancing.

Collaborative research projects involve molecular dynamics (NAMD), rocket simulation, cosmology, quantum chemistry, space-time meshes, and structural dynamics. NAMD is the result of an interdisciplinary collaboration between Prof. Kale, computer science Prof. Robert D. Skeel and physics Prof. Klaus J. Schulten at the Theoretical and Computational Biophysics Group(TCBG) of the Beckman Institute. NAMD is a free, parallel, object-oriented molecular dynamics code designed for high-performance simulation of large biomolecular systems built with Charm++. In SC2002, Prof. Kale and co-authors James C. Phillips, Gengbin Zheng and Sameer Kumar, won a Gordon Bell Award for special accomplishment for their paper NAMD: Biomolecular Simulation on Thousands of Processors. NAMD is highly funded by the NIH and has been picked as a key petascale application by the NSF.


© 2006 Shared Hierarchical Academic Research Computing Network (www.sharcnet.ca).

SPONSORS


HOST SPONSORS