[Colloquium] GPU Computing with NVIDIA

[Benjamin Recchie]

Please forward this workshop announcement to your faculty, students, and colleagues who may be interested.


GPU Computing with NVIDIA

Jonathan Bentz, Solution Architect, NVIDIA

Thursday, April 23, 2015 9:00 a.m.–5:00 p.m. | Kathleen A. Zar Room, John Crerar Library

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 via various languages such as: OpenACC compiler directives, CUDA C programming, Python, and Matlab. NVIDIA GPUs are the world's fastest and most efficient accelerators delivering world record scientific application performance. NVIDIA's CUDA Technology is the most pervasive parallel computing model, used by over 250 scientific applications and over 150,000 developers worldwide. The workshop will be given by Jonathan Bentz, PhD, a Solution Architect at NVIDIA. The event is targeted at undergraduate, graduate students, postdocs, researchers, and professors at the University of Chicago.

Please bring your laptop to participate in the hands-on exercises. Breakfast and lunch will be provided, and at the end of the workshop NVIDIA will raffle a workstation GPU for scientific high-performance computing. Also, please note this is an all-day class.

Register here<https://training.uchicago.edu/course_detail.cfm?course_id=1499>.




Benjamin Recchie
Communications, Outreach, and Project Manager, Research Computing Center
The University of Chicago
6030 S. Ellis Ave., Room 130
Chicago, IL 60637
E: bcrecchi at uchicago.edu
T: 773.834.5546
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