Day 1: Intro to OpenACC
- Led by Mathew Colgrove, NVIDIA
- Located at Engineering Center, room 1B12
Day 2, Option 1: Intro to Deep Learning
- Led by Craig Tierney, NVIDIA
- Located at Engineering Center, room 1B12
Day 2, Option 2: OpenACC Hackathon
- Led by Mathew Colgrove, NVIDIA
- Located at Engineering Center, room 1B08
- For select teams who nominated their application; remote participation not available
NVIDIA, the pioneer of GPU-accelerated computing, and CU Boulder's Research Computing are pleased to host a two-day training event Wednesday, Jan. 11, and Thursday, Jan. 12, with a focus on high-performance computing, deep learning and OpenACC programming.
Days one and two will consist of hands-on tutorials on OpenACC and deep learning, respectively. On the second day, in lieu of attending the deep learning session, select participants may engage in an OpenACC hackathon.
Why attend?
NVIDIA GPUs are the world’s fastest and most efficient accelerators. This workshop will teach attendees how to accelerate applications across a diverse set of domains using OpenACC and demonstrate use of GPUs for deep learning.
Workshops can also be attended remotely via Zoom (with the exception of the optional hackathon on day two). More information about remote access will be provided later.
Plus, free coffee, snacks, drinks and lunch will be provided both days.
Requirements
- Personal laptop (GPU not required).
- Beginner-level C and Linux experience (previous GPU programming not required).
- Registration is free but must be submitted by Wednesday, Jan. 4.
- NVIDIA asks that attendees also register for the Accelerated Computing Developer Program.
Please click here for more information and detailed schedules for each day of the workshop. If you have any questions, please email rc-help@colorado.edu with "NVIDIA Training" in the subject line.
