| Argonne Leadership Computing Facility

Argonne Leadership Computing Facility

About
- Get to Know More
  
  Leadership
  
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  Organizational Chart
  
  Code of Conduct
  
  User Advisory Council
  
  History
- Visit
  
  Visiting ALCF
  
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- Latest
  
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  ALCF Media Kit
  
  Aurora Media Kit
  
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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.
Computing for Science
- Tools
  
  Data Sharing
  
  Inference Service
  
  Integrated Workflows
  
  Model Training
- Computing Resources
  
  Aurora
  
  Polaris
  
  Sophia
  
  Crux
  
  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

Introduction to Blue Gene/P Architecture

Events 07/14/2011

Swift: Parallel Scripting for Grids, Clouds, and Supercomputers

Events 07/15/2011

Adaptive Lagrangian/Eulerian Methods for High Reynolds Number Reactive Transverse Jet Simulations

Events 07/15/2011

Introduction to Parallel I/O

Events 07/18/2011

Opportunities and Challenges of the Parallel Log Structured File System

Events 08/02/2011

A One-Sided Approach to Data Management in a Nonequilibrium Umbrella Sampling Simulation

Events 08/04/2011

Accurate and Efficient Method for Many-Body van der Waals Interactions

Events 08/08/2011

Efficient Inter-node Communication in High Performance GPU Systems

Events 08/09/2011

Methodological Developments for Molecular Dynamics Simulations on Massively Distributed Computing Platforms

Events 08/09/2011

Long Timescale Dynamics with Adaptive Kinetic Monte Carlo

Events 08/10/2011

Subscribe to

Accelerating Science

Leadership Computing Resources

Computational Science

Featured: Engineering

Growing the HPC Community

Support Center

Featured: MyALCF

Introduction to Blue Gene/P Architecture

Swift: Parallel Scripting for Grids, Clouds, and Supercomputers

Adaptive Lagrangian/Eulerian Methods for High Reynolds Number Reactive Transverse Jet Simulations

Introduction to Parallel I/O

Opportunities and Challenges of the Parallel Log Structured File System

A One-Sided Approach to Data Management in a Nonequilibrium Umbrella Sampling Simulation

Accurate and Efficient Method for Many-Body van der Waals Interactions

Efficient Inter-node Communication in High Performance GPU Systems

Methodological Developments for Molecular Dynamics Simulations on Massively Distributed Computing Platforms

Long Timescale Dynamics with Adaptive Kinetic Monte Carlo