Argonne Leadership Computing Facility

ALCF Resources
- Computing Resources
  
  Aurora
  
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  ALCF AI Testbed
  
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  Storage and Networking
- Facility Expertise
  
  Facility Expertise
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 and Engineering
- Output
  
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- Allocation Programs
  
  INCITE Program
  
  ALCC Program
  
  APEX Program
  
  Director’s Discretionary
  
  Early Science Program
  
  NAIRR Program
Computational Science

The ALCF is accelerating scientific discoveries in many disciplines, ranging from chemistry and engineering to physics and materials science.

Featured: Engineering
Community and Outreach
- Partnerships
  
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- Educational Outreach
  
  Women in STEM
  
  Student Programs
- Community
  
  NAIRR Pilot
  
  ALCF Lighthouse Initiative
  
  Exascale Computing Roundtable
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.
About
- Get to Know More
  
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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
- Current
  
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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

Impacts of Environmental Changes on Severe Convective Storms and Climate

Events

Design and Implementation of the Illinois Express Quantum Metropolitan Area Network

Events

A Tale of Two Apps: Preparing XGC and HACC to run on Aurora

Events

Streamline AI Solutions for Data Generation & Large Language Models

Events

Lessons Learned Developing Performance-Portable QMCPACK

Events

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

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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

Impacts of Environmental Changes on Severe Convective Storms and Climate

Design and Implementation of the Illinois Express Quantum Metropolitan Area Network

A Tale of Two Apps: Preparing XGC and HACC to run on Aurora

Streamline AI Solutions for Data Generation & Large Language Models

Lessons Learned Developing Performance-Portable QMCPACK

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