UCLA-IDRE and NVIDIA are very happy to announce a free 2-day hands-on GPU Programming Workshop. Please note that the dates for the workshop are April 15 and April 16:

Description:

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. UCLA-IDRE has long been partnering with NVIDIA on multiple projects involving GPU computing. The CUDA research center at UCLA is one such current project under IDRE’s GPU/Many cores program.

The 2-day workshop, presented by NVIDIA instructor Dr. Jonathan Bentz, will introduce programming techniques using CUDA and OpenACC paradigms as well as optimization, profiling, and debugging methods for GPU programming as per thefollowing plan:

Workshop Title: 2-day hands-on GPU Programming Workshop

When: 4/15-4/16, from 9:00AM – 4:30PM

Location: MSA 5698, Math Sciences, University of California, Los Angeles (UCLA)

Requirements:

No previous GPU programming experience is required – Beginner-level C and Linux experience expected.

Bring your own laptop for these hands on exercises.

Lunch will be provided.

Planning to attend the GPU tech conference (www.gputechconf.com)? – NVIDIA is pleased to extend the 25% discount in registration fee for UCLA researchers. Please contact tvsingh@ucla.edu in order to avail yourself of the offer.