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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Computational Science

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

Optimal Representation Learning via Convex Two-Layer Modeling

Events 03/06/2020

Using Photons and Machine Learning to Understand the Higgs Boson

Events 03/13/2020

A cut-away diagram of the ATLAS detector, which stands at 82 feet tall and 144 feet long. Protons enter the detector from each side and collide in the center.

Testing: Strategies When Learning Programming Models and Using High-Performance Libraries

Events 03/18/2020

DAOS: Next-Generation Data Management for Exascale

Events 03/25/2020

Uncovering Anharmonicity in Material Space

Events 02/28/2020

Data-Driven Methods for Robust Optimization Under Uncertainty

Events 03/11/2020

Data-Driven Insights on Human Activity and Social Phenomena

Events 03/05/2020

The ALCF's Simulation, Data, and Learning Workshop

Non-Hermitian Phononics and Metamaterials

Events 02/28/2020

Towards Reliable and Stable Path Planning for Continuum Robotic Manipulators

Events 02/20/2020

Towards Petabyte Scale Neural Circuit Reconstruction using Deep Learning

Events 03/10/2020

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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

Optimal Representation Learning via Convex Two-Layer Modeling

Using Photons and Machine Learning to Understand the Higgs Boson

Testing: Strategies When Learning Programming Models and Using High-Performance Libraries

DAOS: Next-Generation Data Management for Exascale

Uncovering Anharmonicity in Material Space

Data-Driven Methods for Robust Optimization Under Uncertainty

Data-Driven Insights on Human Activity and Social Phenomena

Non-Hermitian Phononics and Metamaterials

Towards Reliable and Stable Path Planning for Continuum Robotic Manipulators

Towards Petabyte Scale Neural Circuit Reconstruction using Deep Learning