| Argonne Leadership Computing Facility

Argonne Leadership Computing Facility

About
- Get to Know More
  
  Leadership
  
  People
  
  Organizational Chart
  
  Code of Conduct
  
  User Advisory Council
  
  History
- Visit
  
  Visiting ALCF
  
  Tours
- Latest
  
  News
  
  Careers
- Press Kits
  
  ALCF Media Kit
  
  Aurora Media Kit
  
  Reports Archive
Accelerating Science

The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.
Computing for Science
- Tools
  
  Data Sharing
  
  Inference Service
  
  Integrated Workflows
  
  Model Training
- Computing Resources
  
  Aurora
  
  Polaris
  
  Sophia
  
  Crux
  
  Tara
  
  Minerva
  
  Janus
  
  ALCF AI Testbed
  
  Evaluation Testbeds
  
  Storage and Networking
- Programs
  
  Genesis Mission
  
  National Artificial Intelligence Research Resource Pilot (NAIRR)
  
  Service-Enabled Science
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.
Allocation Programs and Awards
- Allocation Programs
  
  INCITE Program
  
  ALCC Program
  
  APEX Program
  
  Director’s Discretionary
  
  Early Science Program
  
  NAIRR Pilot Program
- Awards
  
  Projects
  
  Publications
  
  Case Studies
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
  
  Industry
  
  Collaborations
- 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.
Genesis Mission
Support
- Current
  
  Machine Status
  
  Facility Updates
  
  MyALCF
- Training
  
  Training Overview
  
  Training and Events
  
  OnDemand Training Videos
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: [email protected]
Guides
Featured: MyALCF

Aurora Fact Sheet

Promotional Materials Fact Sheet

Hypersonic Boundary Layer Treatment with Wavy Wall

Publications AIAA Aviation Forum and Ascend 2024

The Lattice Boltzmann Based Large Eddy Simulations for the Stenosis of the Aorta

Publications The International Conference on Computer Science 2024

chipStar: a HIP implementation for Aurora

Events

Model-Constrained Optimal Experimental Design: Challenges and Efficient Approaches

Events

LANS Seminar Graphic featuring the title and date for the event.

Wonders of Science in Pictures!

Events

Decomposing Integer Optimal Control with Total Variation Regularization

Events

P.C. Shyamshankar

Person

Adaptive Mixture Models for Personalized and Efficient Learning Across Distributed Environments

Events

Improving the Use of Satellite Data in Numerical Weather Prediction: Significance, Challenges, and Recent Advances

Events

Subscribe to

Accelerating Science

Leadership Computing Resources

Computational Science

Featured: Engineering

Growing the HPC Community

Support Center

Featured: MyALCF

Aurora Fact Sheet

Hypersonic Boundary Layer Treatment with Wavy Wall

The Lattice Boltzmann Based Large Eddy Simulations for the Stenosis of the Aorta

chipStar: a HIP implementation for Aurora

Model-Constrained Optimal Experimental Design: Challenges and Efficient Approaches

Wonders of Science in Pictures!

Decomposing Integer Optimal Control with Total Variation Regularization

P.C. Shyamshankar

Adaptive Mixture Models for Personalized and Efficient Learning Across Distributed Environments

Improving the Use of Satellite Data in Numerical Weather Prediction: Significance, Challenges, and Recent Advances