Argonne Leadership Computing Facility

ALCF Resources
- Computing Resources
  
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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 & Engineering
- Output
  
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- Allocation Programs
  
  INCITE Program
  
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  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
  
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  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
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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
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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

Achieve Up to 1.77x Boost Ratio for Your PyTorch AI Workloads

Events

Software Design Patterns in Research Software with Examples from OpenFOAM

Events

DAOS: Storage Innovations Driven by Intel Optane Persistent Memory

Events

Bayesian Inference for High-Dimensional Nonstationary Gaussian Processes

Events

Machine-Learning Algorithms for Multispectral Autofluorescence Lifetime Imaging (maFLIM) Based Detection of Oral and Skin Cancer Lesions

Events

Cancer Protein with lymphocytes, t cells or cancer cells

HPC4EI Virtual Event: Focus on Materials

Events

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Events

Towards a Resource Efficient Framework for Distributed Deep Learning Applications

Events

Parallel Algorithms for Scalable Graph Mining: Applications on Big Data and Machine Learning

Events

Different Ways of Knowing AI

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

Achieve Up to 1.77x Boost Ratio for Your PyTorch AI Workloads

Software Design Patterns in Research Software with Examples from OpenFOAM

DAOS: Storage Innovations Driven by Intel Optane Persistent Memory

Bayesian Inference for High-Dimensional Nonstationary Gaussian Processes

Machine-Learning Algorithms for Multispectral Autofluorescence Lifetime Imaging (maFLIM) Based Detection of Oral and Skin Cancer Lesions

HPC4EI Virtual Event: Focus on Materials

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Towards a Resource Efficient Framework for Distributed Deep Learning Applications

Parallel Algorithms for Scalable Graph Mining: Applications on Big Data and Machine Learning

Different Ways of Knowing AI