Argonne Leadership Computing Facility

ALCF Resources
- Computing Resources
  
  Aurora
  
  Polaris
  
  Sophia
  
  Crux
  
  ALCF AI Testbed
  
  Evaluation Testbeds
  
  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
  
  Projects
  
  Publications
  
  Case Studies
- Allocation Programs
  
  INCITE Program
  
  ALCC 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
  
  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.
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.
Support
- Current
  
  Machine Status
  
  Facility Updates
  
  MyALCF
- Training
  
  Training Videos & Slides
  
  Training Overview
  
  Training and Events
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

Mining Development Data to Understand and Improve Software Engineering Processes in HPC Projects

Events 07/07/2021

Simulating OpenMP Task-Based Applications with NUMA Effects

Events 06/21/2021

The Diffuse Bounce Back Condition for Lattice Boltzmann Method

Events 07/07/2021

Abyssal Flow Past a Three-Dimensional Hill: Numerical Simulations

Events 07/01/2021

Energy Exascale Earth System Model (E3SM)

Thermodynamic Consistency in the Lattice Boltzmann Method

Events 06/29/2021

Magnetohydrodynamic turbulence powered by neutrino driven convection

Performance, Portability, and Productivity

Events 06/30/2021

Quantum Computing and Computational Fluid Dynamics: Current Progress and Future Potential

Events 06/16/2021

GE: How Supercomputers Are Fast-Tracking Innovation

A Statistical Distribution-Based Deep Neural Network Model – a new perspective on effective learning

Events 07/01/2021

Developing a domain-specific language in Python to achieve productivity, portability and performance for a weather and climate model

Events 06/09/2021

Solving PDEs With Gaussian Processes

Events 06/09/2021

Illustration of the Navier-Stokes obstructed duct problem

Subscribe to

Leadership Computing Resources

Featured: Aurora

Computational Science

Featured: Engineering

Growing the HPC Community

Accelerating Science

Support Center

Featured: Get Started

Featured: MyALCF

Mining Development Data to Understand and Improve Software Engineering Processes in HPC Projects

Simulating OpenMP Task-Based Applications with NUMA Effects

The Diffuse Bounce Back Condition for Lattice Boltzmann Method

Abyssal Flow Past a Three-Dimensional Hill: Numerical Simulations

Thermodynamic Consistency in the Lattice Boltzmann Method

Performance, Portability, and Productivity

Quantum Computing and Computational Fluid Dynamics: Current Progress and Future Potential

A Statistical Distribution-Based Deep Neural Network Model – a new perspective on effective learning

Developing a domain-specific language in Python to achieve productivity, portability and performance for a weather and climate model

Solving PDEs With Gaussian Processes