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.

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Science & 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

2023 INCITE Proposal Writing Webinar

Events

2023 INCITE Proposal Webinar Graphic

Towards Distributed Second-Order Methods for Optimization

Events

Shutterstock Algorithm Graphic

Enabling Multidisciplinary Design Optimization with Dynamical Systems

Events

Shutterstock Fluid Dynamic Graphic

Embedding Physics into Deep Learning for Modeling Spatiotemporal Systems

Events

Shutterstock Physics Graphic

Performance Observability of Service Architectures and Their Integration in High Performance Computing Workflows

Events

HPC Shutterstock Graphic

Low-Rank Ensemble Filters for Elliptic Observations

Events

Shutterstock Fluid Dynamic Graphic

Multifidelity Machine Learning Methods for Flow Field Prediction and Aerodynamic Shape Optimization

Events

Shutterstock Machine Learning Graphic

Improving SGD-based Optimizers for Deep Learning

Events

Shutterstock Deep Learning Graphic

Introducing Vector-Symbolic Architectures for Neuromorphic Applications

Events

Graph nodes

Optimizations of Monte Carlo Particle Transport on CAD-based Geometry

Events

Shutterstock Data Image