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.

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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

Science at Work: Changing the game for artificial intelligence with neuromorphic computing

Events 08/12/2021

Artificial Intelligence for Engineering Design and Computational Mechanics

Events 08/04/2021

AI for engineering design and computational mechanics

Investigation of Aircraft Icing Process Based on Numerical Modeling and Machine Learning Methods

Events 07/29/2021

ECP CMake Training

Events 08/23/2021

Development of Electrode Materials for Water Treatment Applications

Events 07/23/2021

Inside the NVIDIA Ampere A100 GPU in ThetaGPU and Perlmutter

Events 07/28/2021

Inside ThetaGPU's NVIDIA Ampere A100 GPU

Generating Large Graphs Using Vertex Replacement Grammars

Events 07/21/2021

Deep Learning Generalization, Over-Parameterization, Extrapolation, and Decision Boundaries

Events 07/14/2021

Software Engineering Challenges and Best Practices for Multi-Institutional Scientific Software Development

Events 08/04/2021

Optimize the Latest Deep Learning Workloads using Intel-optimized PyTorch

Events 07/14/2021

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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

Science at Work: Changing the game for artificial intelligence with neuromorphic computing

Artificial Intelligence for Engineering Design and Computational Mechanics

Investigation of Aircraft Icing Process Based on Numerical Modeling and Machine Learning Methods

ECP CMake Training

Development of Electrode Materials for Water Treatment Applications

Inside the NVIDIA Ampere A100 GPU in ThetaGPU and Perlmutter

Generating Large Graphs Using Vertex Replacement Grammars

Deep Learning Generalization, Over-Parameterization, Extrapolation, and Decision Boundaries

Software Engineering Challenges and Best Practices for Multi-Institutional Scientific Software Development

Optimize the Latest Deep Learning Workloads using Intel-optimized PyTorch