[cmath] SHARCNET Symposium on GPU and CELL Computing

Ilias Kotsireas ikotsire at uwaterloo.ca
Wed Apr 2 09:33:05 EDT 2008


First announcement and call for contributions:

SHARCNET Symposium on GPU and CELL Computing

University of Waterloo, May 27th, 2008

http://www.sharcnet.ca/events/ssgc2008

Hardware accelerators have the potential to elevate scientific computing 
to new levels of performance. This one-day symposium will explore the use 
of GPUs, CELL processors, FPGAs and multi-core CPUs for large-scale 
scientific computing. SHARCNET will soon deploy high- performance clusters 
containing both CELL and GPU accelerators, and this symposium will give 
researchers the chance to learn about these new technologies from keynote 
speakers who are at the forefront of research in this field. Researchers 
who have first experiences in this new area are invited to contribute 
presentations and posters.

Keynote Speakers:

Ben Bergen, Los Alamos,
on CELL cluster computing and the Roadrunner Hybrid Supercomputer

Michael McCool, University of Waterloo,
on the RapidMind platform for multi-core CPUs and many-core accelerators

Vendor Presentation:
Jonathan Cohen, NVIDIA Research, on NVIDIA CUDA and GPU computing

Call for Contributed Presentations and Posters:

Please submit an abstract (minimum one page) to merz at sharcnet.ca by April 
28th, 2008, and indicate your preference for oral presentation (20-minute 
talks) or poster presentation.

Important dates:

April 28th, 2008: deadline for abstract submission

May 9th, 2008: final program announced

May 14th, 2008: deadline for registration (registration is free but 
required)

May 27th, 2008: SHARCNET Symposium on GPU and CELL Computing

See http://www.sharcnet.ca/events/ssgc2008 for registration, abstract 
submission, and further information.

Organizing Committee:

Hans De Sterck, University of Waterloo
Ilias Kotsireas, Wilfrid Laurier University
Hugh Merz, SHARCNET

About SHARCNET:

The Shared Hierarchical Academic Research Computing Network (SHARCNET, 
www.sharcnet.ca) is a consortium of 16 Ontario academic institutions in a 
"cluster of clusters" of high performance computers linked by advanced 
fiber optics. SHARCNET provides leading-edge HPC infrastructure to 
accelerate research for its academic and industry partners.


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