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: [email protected]
Explore how researchers are using ALCF’s HPC and AI resources to achieve breakthroughs in science and engineering.
Domain Physics Systems Aurora PI Katrin Heitmann, Argonne National Laboratory
Domain Biological Sciences Systems Polaris PI Ravi Madduri, Argonne National Laboratory
Domain Materials Science Systems Polaris, Aurora PI Venkat Viswanathan, University of Michigan
Domain Computer Science Systems Polaris PI Filippo Simini, Venkatram Vishwanath, Argonne National Laboratory
Domain Biological Sciences Systems Polaris, Aurora PI Lin Du, Jie Liang*, University of Illinois Chicago
Domain Computer Science Systems Polaris PI Ruslan Shaydulin, JPMorganChase
Domain Biological Sciences Systems Polaris, Aurora PI Thomas Brettin, Argonne National Laboratory
Domain Chemistry Systems Polaris, Theta PI Wei Jiang, Argonne National Laboratory
Domain Computer Science Systems Polaris, Aurora PI Aiichiro Nakano, University of Southern California
Domain Computer Science Systems Polaris PI Michael Prince, Argonne National Laboratory