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
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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

Large-Scale Graph Computing: From "Think Like a Vertex" to "Think Like a Task"

Events

Fast and Science-Preserving Compression for Light Sources

Events

Module 3: Revisiting NumPy aggregations with the Data-parallel extension for Numba*

Events

Module 2: NumPy “where” and NumPy “select” to Boost Pandas “apply” statements and ndarray performance

Events

Module 1: Aggregations, universal functions, and broadcasting

Events

Surface Gravity Waves in Global Climate Models: Development, Evaluation and Optimization

Events

Ravi K. Madduri

Person

Ab Initio Calculation of the β-Decay Spectrum of 6He

Publications Physical Review C

Muon Capture on Deuteron Using Local Chiral Potentials

Publications Frontiers in Physics

Solving the Nuclear Pairing Model with Neural Network Quantum States

Publications Physical Review E

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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

Large-Scale Graph Computing: From "Think Like a Vertex" to "Think Like a Task"

Fast and Science-Preserving Compression for Light Sources

Module 3: Revisiting NumPy aggregations with the Data-parallel extension for Numba*

Module 2: NumPy “where” and NumPy “select” to Boost Pandas “apply” statements and ndarray performance

Module 1: Aggregations, universal functions, and broadcasting

Surface Gravity Waves in Global Climate Models: Development, Evaluation and Optimization

Ravi K. Madduri

Ab Initio Calculation of the β-Decay Spectrum of 6He

Muon Capture on Deuteron Using Local Chiral Potentials

Solving the Nuclear Pairing Model with Neural Network Quantum States