[Colloquium] REGISTRATION UPDATE: NVIDIA GPU Workshop | April 22 | Full Day

[Tyler Edward Kolle]

Please forward this event announcement to your colleagues who may be interested.
NVIDIA GPU Computing Workshop
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Tuesday, April 22, 2014
9:00 a.m. ­- 4:30 p.m.
Participants will be provided breakfast, lunch, and refreshments throughout the day
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Kathleen A. Zar Room, John Crerar Library
NOTE:
Our registration cap has already been met. If you have registered for the event but are not able to attend please drop the course using the link below so that those on the waiting list can have a seat. If you are not registered but would like to attend please add your name to the wait list using the same link.
Register HERE<https://training.uchicago.edu/course_detail.cfm?course_id=1499> <https://training.uchicago.edu/course_detail.cfm?course_id=1499>
Your participation in this workshop enters you to win your very own NVIDIA workstation GPU!


Details:

The NVIDIA GPU computing workshop will be a full day of hands-on exercises in GPU computing where you will learn how to program GPUs using languages such as OpenACC compiler directives, CUDA C programming, Python and Matlab. The workshop will be given by Jonathan Bentz, Ph.D., a Solution Architect for NVIDIA. The event will be especially useful for undergraduate and graduate students, postdocs, researchers, and professors at the University of Chicago.

NVIDIA GPUs are the world’s fastest and most efficient accelerators delivering world record scientific application performance. NVIDIAs CUDA Technology is the most pervasive parallel computing model, used by over 250 scientific applications and over 150,000 developers worldwide.

At the end of the workshop NVIDIA will be raffling-off one of their high-performance workstation GPU<http://www.nvidia.com/object/tesla-workstations.html>s<http://www.nvidia.com/object/tesla-workstations.html>. Register and complete the workshop for your chance to win!

Presenter Biography:

Jonathan Bentz is a Solution Architect with NVIDIA, focusing on Higher Education and Research customers. Prior to NVIDIA Jonathan worked for Cray as a software engineer in the Scientific Libraries group working on dense linear algebra and FFT software. Jonathan obtained his Ph.D. in Physical Chemistry and his Masters of Science in Computer Science from Iowa State University.

Requirements:

Please bring your laptop to participate in the hands-on exercises. If you have any questions about this event or NVIDIA technology, please feel free to contact the Research Computing Center at info at rcc.uchicago.edu<mailto:info at rcc.uchicago.edu>.

Once again, space has already fill for the April 22 workshop and the waiting list is growing. If you have already registered but you will be unable to attend please drop the course on the University Training site here<https://training.uchicago.edu/course_detail.cfm?course_id=1499>. If you have not registered and would like to attend the workshop please add your name to the wait list using the same link. It is likely that some participants will drop the course and wait list participants will be automatically moved to the registered list.
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