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2019 GTC San Jose

L9112 - Programming GPU-Accelerated POWER Systems with OpenACC

Session Speakers
Session Description

Prerequisites: 
OpenACC knowledge and knowledge about the IBM POWER+GPU systems are not required.
Needed is some basic programming knowledge ("I've edited source code before"), a laptop, and curiosity. 


How To Prepare: All attendees must bring their own laptop and charger. We recommend using a current version of Chrome, Firefox, or Safari for an optimal experience. Create an account at http://courses.nvidia.com/join before you arrive. Learn how to handle the massive computing performance offered by POWER systems with NVLink-attached GPUs, which power two of the fastest computers in the U.S., Sierra and Summit. We will present IBM's POWER architecture and highlight the available software stack, then dive into programming the attached GPUs with OpenACC. We’ll use real-world examples help you get to know the hardware architectures of both CPU and GPU and learn the most important OpenACC directives. Because of OpenACC's portable approach, the resulting GPU-Accelerated program can easily be used on other GPU-equipped machines and architectures.


Additional Information
Programming Languages
Programming Languages Supercomputing
Government / National Labs Higher Education / Research
Beginner technical
Instructor-Led Training
2 Hours
Session Schedule