SciNet GPU Workshop July 2010
On July 14th, SciNet held a well attended one-day workshop on GPU computing, bringing together SciNet users with interest in GPGPU (General Purpose computing on Graphics Processor Units), to exchange information and experiences. Representatives of NVidia and Software Carpentry took part as well.
Eight researchers from different departments at the University of Toronto gave short talks, followed by a presentation from Software Carpentry and a number of technical presentations from NVidia. Click on the titles to get the pdf or ppt files.
Research Talks
- Tarek Abdelrahman (Electrical and Computer Engineering)
hiCUDA: bridging the GPGPU programmability gap
- Peter Colberg (Theoretical Chemical Biophysics)
Accelerating glassy dynamics using GPUs
- Abdul Mroue (Canadian Institute for Theoretical Astrophysics)
- Teng Joon Lim (Electrical and Computer Engineering)
- Jonathan Sievers (Canadian Institute for Theoretical Astrophysics)
GPU correlation
- Zeb Tate (Electrical and Computer Engineering)
Computational challenges in power grid simulations
- Scott Briggs (Civil/Env. Engineering)
Contaminant hydrogeology
- Bijia Pang (Physics)
Accelerated magneto-hydrodynamics
Industry Presentations
- Gregory Wilson (Software Carpentry)
Computational skills for scientists and engineers
- Tom Reed (NVidia)
- Introduction to Tesla GPU programming
- Advanced CUDA C
- Implementing 3D finite difference codes on the GPU
- CUDA development tools
SciNet GPU Resources
Note that SciNet currently has a Accelerator Research Cluster available to selected users for testing, code development, and evaluation purposes, but not as a production cluster. Contact us at support@scinet.utoronto.ca if you are interested.