Webinar: Teach Parallel Programming with the NVIDIA GPU Teaching Kit for University Educators

WEBINAR REGISTRATION
Teach Parallel Programming with the NVIDIA GPU Teaching Kit for University Educators

WEBINAR DETAILS:

Thursday, August 11, 2016

9:00am – 10:00am PDT

1 Hour

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Teach Parallel Programming with the NVIDIA GPU Teaching Kit for University Educators

As performance and functionality requirements of interdisciplinary computing applications rise, industry demand for new graduates familiar with accelerated computing with GPUs grows. This webinar introduces a comprehensive set of academic labs and university teaching material for use in courses leveraging introductory and advanced parallel programming concepts. The teaching materials start with the basics and focus on programming GPUs with CUDA, and go on to advanced topics such as optimization, advanced architectural enhancements, and integration of a variety of programming languages.

By attending this webinar, you'll also learn:

How NVIDIA collaborates with academia to address the global challenges of teaching new technologies in the classroom
Availability of free GPU teaching materials, platforms, and academic resources
Best practices for incorporating GPUs into higher-ed parallel programming courses from world-renowned academics

We hope you will join us!

WEBINAR REGISTRATION

PRESENTERS

Joe Bungo
GPU Educators Program Manager, NVIDIA
Joe Bungo is the GPU Educators Program Manager at NVIDIA where he enables the use of NVIDIA and GPU technologies in universities in a variety of ways, including curriculum and teaching material development, facilitation of academic ecosystems, and hands-on instructor workshops. Previously, he managed the university program at ARM Inc. and worked as an applications engineer there.

Wen-Mei Hwu
Professor of Electrical and Computer Engineering, University of Illinois
Professor Wen-mei Hwu holds the Sanders-AMD Endowed Chair in the Department of Electrical and Computer Engineering, at the University of Illinois at Urbana-Champaign. For his contributions in research and teaching, he received the ACM SigArch Maurice Wilkes Award, the ACM Grace Murray Hopper Award, the EKN Holmes MacDonald Outstanding Teaching Award, the ISCA Influential Paper Award, the IEEE Computer Society B. R. Rau Award, and the Distinguished Alumni Award in Computer Science of the University of California, Berkeley. He directs the UIUC CUDA Center of Excellence and serves as one of the principal investigators of the NSF Blue Waters Petascale computer project. Wen-mei received his Ph.D. in computer science from the University of California, Berkeley.

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