Difference between revisions of "SciNet GPU Workshop July 2010"
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| − | 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. | + | 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. | Representatives of NVidia and Software Carpentry took part as well. | ||
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* Gregory Wilson (Software Carpentry)<br />[http://support.scinet.utoronto.ca/Tutorials/gpu-workshop/Wilson.pdf Computational skills for scientists and engineers] | * Gregory Wilson (Software Carpentry)<br />[http://support.scinet.utoronto.ca/Tutorials/gpu-workshop/Wilson.pdf Computational skills for scientists and engineers] | ||
| − | * Tom Reed (NVidia)<br />[http://support.scinet.utoronto.ca/Tutorials/gpu-workshop/Session-1.pdf Introduction to Tesla GPU programming] | + | * Tom Reed (NVidia)<br /> |
| + | #[http://support.scinet.utoronto.ca/Tutorials/gpu-workshop/Session-1.pdf Introduction to Tesla GPU programming] | ||
| + | #[http://support.scinet.utoronto.ca/Tutorials/gpu-workshop/Session-2.pdf Advanced CUDA C] | ||
| + | #[http://support.scinet.utoronto.ca/Tutorials/gpu-workshop/Session-3.pdf Implementing 3D finite difference codes on the GPU] | ||
| + | #[http://support.scinet.utoronto.ca/Tutorials/gpu-workshop/Session-4.pdf CUDA development tools] | ||
===SciNet GPU Resources=== | ===SciNet GPU Resources=== | ||
Note that SciNet currently has a [[Accelerator Research Cluster]] available to a select number of users, mostly for the purpose of technology evaluation. Contact us at [mailto:support@scinet.utoronto.ca support@scinet.utoronto.ca] if you are interested. | Note that SciNet currently has a [[Accelerator Research Cluster]] available to a select number of users, mostly for the purpose of technology evaluation. Contact us at [mailto:support@scinet.utoronto.ca support@scinet.utoronto.ca] if you are interested. | ||
Revision as of 10:17, 29 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.
Talks
Eight researchers from different departments at the University of Toronto gave short presentations, followed by a number of technical talks from NVidia. Click on the titles to get the pdf or ppt files.
- Tarek Abdelrahman (Electrical and Computer Engineering)
hiCUDA: bridging the GPGPU programmability gap
- Peter Colberg (Chemistry)
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
- 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 a select number of users, mostly for the purpose of technology evaluation. Contact us at support@scinet.utoronto.ca if you are interested.