Argonne Leadership Computing Facility

ALCF Resources
- Computing Resources
  
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- 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
  
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- 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
  
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- Educational Outreach
  
  Women in STEM
  
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- 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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- Training
  
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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

Progressive, Extrapolative Machine Learning for Turbulence Modeling

Events

Re-engineering Computing with Neuro-inspired Learning: Algorithms, Architecture, and Devices

Events

Classification of Breast Cancer Tumors Using Machine Learning

Events

An Introduction to Programming with SYCL on Perlmutter and Beyond

Events

Large-Eddy Simulations of Idealized Shock/Boundary-Layer Interactions with Crossflow

Publications AIAA Journal

Simulation of Equilibrium and Transport in Advanced FRCS

Publications Nuclear Fusion

Mass-conserving implicit–explicit methods for coupled compressible Navier–Stokes equations

Publications Computer Methods in Applied Mechanics and Engineering

Advances in Neuromorphic Computing for Faster, More Efficient, and More Intelligent Processing

Events

Taking FEEC Seriously and Literally

Events

NVIDIA Performance Tools for A100 GPU Systems

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

Progressive, Extrapolative Machine Learning for Turbulence Modeling

Re-engineering Computing with Neuro-inspired Learning: Algorithms, Architecture, and Devices

Classification of Breast Cancer Tumors Using Machine Learning

An Introduction to Programming with SYCL on Perlmutter and Beyond

Large-Eddy Simulations of Idealized Shock/Boundary-Layer Interactions with Crossflow

Simulation of Equilibrium and Transport in Advanced FRCS

Mass-conserving implicit–explicit methods for coupled compressible Navier–Stokes equations

Advances in Neuromorphic Computing for Faster, More Efficient, and More Intelligent Processing

Taking FEEC Seriously and Literally

NVIDIA Performance Tools for A100 GPU Systems