Argonne Leadership Computing Facility

ALCF Resources
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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
Science and Engineering
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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.
Support
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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

First Principles Simulation of Hypersonic Flight

Research Project Engineering

Large-Scale Simulations of Light-Activated Matter

Research Project Materials Science

COMPBIO2: COMbining deep-learning with Physics-Based affinIty estimatiOn 2

Research Project Biological Sciences

First-Principles Simulations of Black Hole Accretion Flows and Coronae

Research Project Physics

High-Fidelity Gyrokinetic Simulation of Tokamak and ITER Edge Physics

Research Project Physics

Next-Generation 3D Core-Collapse Supernova

Research Project Physics

Nuclear Matter Dynamics in Real Time and the Heaviest Elements in Nature

Research Project Chemistry

Implementing a Dispersive Interaction Database through Quantum Monte Carlo

Research Project Chemistry

Module 4: Performance, Portability, and Productivity - Mini Hackathon

Events 03/16/2022

Equivariant Neural Networks for Modeling Physical Interactions: Curve Fitting or a New Way of Understanding Nature?

Events 12/09/2021

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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

First Principles Simulation of Hypersonic Flight

Large-Scale Simulations of Light-Activated Matter

COMPBIO2: COMbining deep-learning with Physics-Based affinIty estimatiOn 2

First-Principles Simulations of Black Hole Accretion Flows and Coronae

High-Fidelity Gyrokinetic Simulation of Tokamak and ITER Edge Physics

Next-Generation 3D Core-Collapse Supernova

Nuclear Matter Dynamics in Real Time and the Heaviest Elements in Nature

Implementing a Dispersive Interaction Database through Quantum Monte Carlo

Module 4: Performance, Portability, and Productivity - Mini Hackathon

Equivariant Neural Networks for Modeling Physical Interactions: Curve Fitting or a New Way of Understanding Nature?