Come Learn CUDA Python at Your Own Pace!

The Computing Center is located at

3645 Marine st. Please see map.

Mark Ebersole, a CUDA Educator at NVIDIA, will be giving this hands-on tutorial. Please stop by during the time window and learn program a GPU with Python.

The future of high-performance computing lies in heterogeneous computing platforms consisting of a CPU and a massively parallel accelerator or GPU. The CUDA platform is the base upon which many methods have been delivered to unlock the massive computational power of an NVIDIA GPU. In order to continue bringing high-performance computation to as many developers as possible, the Python language has recently been added to the list of supported CUDA languages. This meetup will be a bring-your-own-computer (no NVIDA GPU needed), self-paced workshop taking you through the various acceleration capabilities available with CUDA Python. We'll be using IPython Notebooks served from GPU Instances in the Amazon cloud. Show up whenever you like, get access to an instance, and begin accelerating code on a GPU with Python!

The only requirement is a network connection and a web browser that supports WebSockets:

• Chrome 14 or above

• Firefox 6 or above

• Opera 12.10 or above

• Safari 5 or above

• Internet Explorer 10

Send any questions to Mark Ebersole - mebersole@nvidia.com

LOCATION INFORMATION

The Computing Center is located near Arapahoe and 30th street. Please see the map for directions. We will be meeting in room 123. There is paid parking to the south of the building and some free parking options on the north side of Arapahoe.