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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
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