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

Constructing a New Predictive Scaling Formula for ITER's Divertor Heat-Load Width Informed by a Simulation-Anchored Machine Learning

Publications Physics of Plasmas

Electromagnetic Total-f Algorithm for Gyrokinetic Particle-in-Cell Simulations of Boundary Plasma in XGC

Publications Physics of Plasmas

Archit Vasan

Person

Shining Light on Environmental Pollutants: Multi-scale and Cross-facility Applications

Events

Advancing Next Generation Scientific Applications with Novel AI Accelerators

Events

Too Many Chefs in the Kitchen - An Argument in Favor of Program Execution Models (PXMs)

Events

Algorithmic Innovations for Accelerating Implementations of Artificial Intelligence

Events

Preparing for Performance Analysis at Exascale

Publications ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing

Prediction of Correlation Energies Using Variational Subspace Valence Bond

Publications The Journal of Chemical Physics

AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification

Publications 2022 26th International Conference on Pattern Recognition

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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

Constructing a New Predictive Scaling Formula for ITER's Divertor Heat-Load Width Informed by a Simulation-Anchored Machine Learning

Electromagnetic Total-f Algorithm for Gyrokinetic Particle-in-Cell Simulations of Boundary Plasma in XGC

Archit Vasan

Shining Light on Environmental Pollutants: Multi-scale and Cross-facility Applications

Advancing Next Generation Scientific Applications with Novel AI Accelerators

Too Many Chefs in the Kitchen - An Argument in Favor of Program Execution Models (PXMs)

Algorithmic Innovations for Accelerating Implementations of Artificial Intelligence

Preparing for Performance Analysis at Exascale

Prediction of Correlation Energies Using Variational Subspace Valence Bond

AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification