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
Access archived presentations and other materials from past ALCF training events below.
Type Video Topic GraphCore System AI Testbed Published 07/11/2024
This training session introduces users to the Graphcore Bow Pod system architecture and software stack. It provides hands-on training to get started on the Bow Pod64 in the ALCF AI testbed.
Topic...
Type Slides Published 06/20/2024
Type Video Published 06/20/2024
Type Slides System AI Testbed Published 06/11/2024
Type Slides System AI Testbed Published 06/04/2024
Type Video Topic Data Science System Aurora | Sunspot Published 05/29/2024
In this developer session, Corey Adams will cover the Deep Learning Frameworks optimized by Intel for performance on Aurora. Frameworks covered will include Tensorflow, Pytorch, and the experimental...
Type Slides System AI Testbed Published 05/07/2024
Type Slides System AI Testbed Published 04/30/2024
Type Video Topic Applications and Libraries System Aurora | Sunspot Published 04/24/2024
Type Video Topic Data Science System Polaris Published 03/26/2024
An overview of evaluating large language models, including a discussion on potential pitfalls and limitations.
Bethany Lusch is a Computer Scientist in the data science group at the Argonne...
Type Video Topic Workflows System Polaris Published 03/20/2024
This video provides an overview of the Integrated Research Infrastructure at ASCR.
Type Video Topic Data Science System AI Testbed Published 03/19/2024
Type Video Topic Data Science System Polaris Published 03/12/2024
We present modern parallelism techniques and discuss how they can be used to train and distribute large models across many GPUs.
Sam Foreman is a Computational Scientist with a background in high...
Type Video Topic Data Science System Polaris Published 03/05/2024
The video covers essential concepts of sequential data modeling and modeling approaches such as transformers.
Archit Vasan is a postdoctoral appointee in the Argonne Leadership Computing Facility...
Type Video Topic Hardware Overview System Aurora | Sunspot Published 02/28/2024
Type Video Topic Data Science System Polaris Published 02/27/2024
This video covers the essential concepts of sequential data modeling and modeling approaches such as transformers.
Carlo Graziani is a Computational Scientist at Argonne National Laboratory. He...
Type Slides Published 02/20/2024
Type Video Topic Data Science System Polaris Published 02/20/2024
This video covers advanced topics in convolutional neural networks, such as deep, residual, variational, and adversarial networks
Corey Adams is a Computational Scientist at the Argonne Leadership...
Type Video Topic Data Science System Polaris Published 02/15/2024
This video goes over the basics of neural networks, opening up the black box of machine learning by building out by-hand networks for linear regression to increase the understanding of the math that...
Type Slides Topic Data Science Published 02/15/2024
