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
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.
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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

Essentials of Intel Extensions for Scikit-Learn Part 1: CPU Focus

Events

Analysis of Underdamped Langevin Simulation and Optimization of Non-equilibrium Importance Sampling

Events

Using Simulation to Design Robots and Autonomous Vehicles

Events

Deisa: Dask-Enabled In Situ Analytics

Events

Likelihood-Weighted Active Learning with Application to Bayesian Optimization, Uncertainty Quantification, and Decision Making in High Dimensions

Events

Carbonyl Sulfide Fluxes Trace Ecosystem Stomatal Conductance Dynamics

Events

Black Lives Count: Toward Accountability in Efforts to Diversify Computing

Events

Intro to Intel Extensions of Scikit-learn to Accelerate Machine Learning Frameworks

Events

Aurora-Early-Adopter_2022-October Graphic

Rev Up End-to-End AI Pipelines with Intel-Optimized Python Libraries

Events

Push the Boundaries of Visualization with the Latest Rendering Kit Advances

Events

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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

Essentials of Intel Extensions for Scikit-Learn Part 1: CPU Focus

Analysis of Underdamped Langevin Simulation and Optimization of Non-equilibrium Importance Sampling

Using Simulation to Design Robots and Autonomous Vehicles

Deisa: Dask-Enabled In Situ Analytics

Likelihood-Weighted Active Learning with Application to Bayesian Optimization, Uncertainty Quantification, and Decision Making in High Dimensions

Carbonyl Sulfide Fluxes Trace Ecosystem Stomatal Conductance Dynamics

Black Lives Count: Toward Accountability in Efforts to Diversify Computing

Intro to Intel Extensions of Scikit-learn to Accelerate Machine Learning Frameworks

Rev Up End-to-End AI Pipelines with Intel-Optimized Python Libraries

Push the Boundaries of Visualization with the Latest Rendering Kit Advances