OSCER users, Forwarding from Princeton U. Please reply directly to them, and please feel free to forward to anyone who may be interested and appropriate. ================================================================== SUMMARY: WORKSHOP: N-Ways to GPU Programming Bootcamp March 9-10 2023 1:00-5:00pm Eastern Time Register by Thu March 2 2023 Live via Zoom Contact: Jon Halverson ([log in to unmask]) https://www.openhackathons.org/s/siteevent/a0C5e000007ZW8SEAW/se000180 HACKATHON: GPU Hackathon Application Deadline: April 4 2023 Hackathon: June 14, 21-23, 2023 Virtual and in-person (Princeton campus) Contact: Jon Halverson ([log in to unmask]) https://www.openhackathons.org/s/siteevent/a0C5e000005Va4hEAC/se000162 DETAILS: The Princeton Institute for Computational Science and Engineering, in collaboration with the OpenACC Organization and NVIDIA, is hosting an N-Ways to GPU Programming Bootcamp for 2 days on Thursday, March 9 and Friday, March 10, 2023. This online bootcamp is open to research groups outside Princeton. Deadline to register is Thursday, March 2. N-Ways to GPU Programming Bootcamp - Register now! March 9 & 10, 1:00-5:00 PM EST Robert Searles, NVIDIA During this two-day online Bootcamp, participants will learn: * Multiple GPU programming models and can choose the one that best fits their needs to run their scientific codes on GPUs; * Cover an introduction to GPU programming using OpenACC, OpenMP, stdpar and CUDA C, and provides hands-on opportunities to learn how to analyze GPU-enabled applications using NVIDIA® Nsight™ Systems; and * Provide hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout. GPU Hackathon Application Deadline: April 4 Hackathon: June 14, 21-23 Location: Virtual and in-person (Princeton campus) Together with NVIDIA and OpenACC organization, the Princeton Institute for Computational Science and Engineering will host a virtual Open Hackathon starting June 14 and concluding June 23, 2023. Open Hackathons provide exciting opportunities for scientists to accelerate their AI or HPC research under the guidance of expert mentors from national laboratories, universities and industry leaders in a collaborative environment. The goal of the Open Hackathon is for computational scientists to port, accelerate and optimize their scientific applications to modern computer architectures, including CPUs, GPUs and other computing technologies. Participating teams should leave the event either with their applications accelerated and/or optimized on the latest supercomputing hardware or a clear roadmap of the next steps needed to leverage these resources. All fields are welcome, from astrophysics to machine learning to genomics. Although Princeton and Princeton-area teams will be given priority, a Princeton affiliation is not required. Prior Hackathon participants are also encouraged to apply! However, such teams should explicitly mention in their applications the additional value they hope to gain from attending the Hackathon again. Here's a news story about last year's GPU hackathon: https://researchcomputing.princeton.edu/news/2022/princetons-gpu-hackathon-pairs-industry-mentors-researchers Questions? Email Jon Halverson at [log in to unmask] -- Jonathan D. Halverson, Ph.D. Research Software and Computing Training Lead Princeton Institute for Computational Science and Engineering 346 Lewis Library | 609-258-9575 | [log in to unmask] Princeton University