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 Published 03/26/2024
Type Slides Topic Performance Tools System Aurora Published 03/20/2024
Servesh Muralidharan, ALCF
SYSTEMS AURORA
Join us on February 28, 2024, for a webinar on Aurora's exascale...
Type Video System AI Testbed Published 03/19/2024
Type Video Published 03/12/2024
Type Video Published 03/05/2024
Type Video System Aurora Published 02/28/2024
Type Video Published 02/27/2024
Type Slides Published 02/20/2024
Type Video Published 02/20/2024
Type Video Published 02/15/2024
Type Slides Published 02/15/2024
Type Video Published 02/09/2024
Type Slides Published 02/09/2024
Type Slides Topic Visualization System Polaris Published 02/08/2024
Type Video System Polaris Published 02/08/2024
Type Slides Published 02/06/2024
Type Slides System Aurora Published 12/04/2023
Building high-performant software applications requires coding to take maximum advantage of the target hardware platform. With the availability of hardware acceleration capabilities—in this case...
Type Video System Aurora Published 11/30/2023
Type Video System Aurora Published 11/02/2023
Software applications achieve top performance when developed to exploit the characteristics of the hardware on which the code will be run. The code should be structured to produce correct answers but...