Argonne Leadership Computing Facility

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Leadership Computing Resources

The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.

Featured: Aurora
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The ALCF is accelerating scientific discoveries in many disciplines, ranging from chemistry and engineering to physics and materials science.

Featured: Engineering
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Growing the HPC Community

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.
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Accelerating Science

The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.
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Support Center

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
Guides
Featured: Get Started

Featured: MyALCF

Machine Learning the Metastable Phase Diagram of Covalently Bonded Carbon

Publications Nature Communications

Flexible Machine-Learning Interatomic Potential for Simulating Structural Disordering Behavior of Li7La3Zr2O12 Solid Electrolytes

Publications The Journal of Chemical Physics

Privacy Meets Heterogeneity

Events

Simulation Frameworks for External Flows: A Distributed Computing Perspective

Events

Accelerating Spatio-temporal AI

Events

Achieve Python Acceleration of 10X, 100X, or more with oneAPI

Events

Reduction Operations in oneAPI Using SYCL and/or oneDPL

Events

Using Intel AI Kit and XGBoost for Predictive Modeling

Events

An Introduction to HDF5 for HPC Data Models, Analysis, and Performance

Events

ALCF DeepHyper Automated Machine Learning Workshop

Events

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Leadership Computing Resources

Featured: Aurora

Computational Science

Featured: Engineering

Growing the HPC Community

Accelerating Science

Support Center

Featured: Get Started

Featured: MyALCF

Machine Learning the Metastable Phase Diagram of Covalently Bonded Carbon

Flexible Machine-Learning Interatomic Potential for Simulating Structural Disordering Behavior of Li7La3Zr2O12 Solid Electrolytes

Privacy Meets Heterogeneity

Simulation Frameworks for External Flows: A Distributed Computing Perspective

Accelerating Spatio-temporal AI

Achieve Python Acceleration of 10X, 100X, or more with oneAPI

Reduction Operations in oneAPI Using SYCL and/or oneDPL

Using Intel AI Kit and XGBoost for Predictive Modeling

An Introduction to HDF5 for HPC Data Models, Analysis, and Performance

ALCF DeepHyper Automated Machine Learning Workshop