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

Argonne Downscaled Data Archive (ADDA): A Newly Developed, Convection Permitted Regional Climate Dataset for North America

Events

Ian Kash

Person

Anthony Meyer

Person

Robert Gallimore

Person

Eugene Ku

Person

Capturing Correlation Effects in Positron Binding to Atoms and Molecules

Publications Journal of Chemical Theory and Computation

15th ADAC Symposium & Workshop

Events

Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models

Publications Medical Decision Making

Characteristics of a Cost-Effective Blood Test for Colorectal Cancer Screening

Publications Journal of the National Cancer Institute

An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening

Publications Frontiers in Physiology

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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

Argonne Downscaled Data Archive (ADDA): A Newly Developed, Convection Permitted Regional Climate Dataset for North America

Ian Kash

Anthony Meyer

Robert Gallimore

Eugene Ku

Capturing Correlation Effects in Positron Binding to Atoms and Molecules

15th ADAC Symposium & Workshop

Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models

Characteristics of a Cost-Effective Blood Test for Colorectal Cancer Screening

An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening