The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.
The ALCF is accelerating scientific discoveries in many disciplines, ranging from chemistry and engineering to physics and materials science.
The ALCF is committed to providing training and outreach opportunities that prepare researchers to efficiently use its leadership computing systems, while also cultivating a diverse and skilled HPC workforce for the future.
The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.
The ALCF Support Center assists users with support requests related to their ALCF projects.
Help Desk Hours: 9:00am-5:00pm CT M-F Email: support@alcf.anl.gov
This session covers LLMs and how to get started running LLMs at the ALCF.
This session gives an overview of using Tensorflow, Pytorch, and JAX are the core deep learning frameworks on ALCF production resources. All three frameworks are accessible in python (and a few other...
This training covers coupling HPC simulations and AI/ML. You will learn how to couple and what software to use, and you will get a demo of how to use NekRS.
Ignite performance of common Python & pandas constructs by using NumPy, SciPy, and Pandas powered by oneAPI. This webinar and workshop series will go into detail about how to apply key Intel...
This video provides a demo on the ALCF AI testbed and an introduction to the broader toolset of AI methods.
Trainees will combine data pipeline and parallel training from previous sessions to train a modern classification network on a supercomputer.
Dr. Eliu Huerta will also speak about the work he does at...
As part of the 2022 ALCF Simulation, Data, and Learning Workshop
ALCF's Bethany Lusch and Riccardo Balin lead a session on integrating AI and simulations.
