Argonne Leadership Computing Facility

ALCF 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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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
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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

Small Data is (and may always be?) the Problem

Events

ClimaX: A Foundation Model for Weather and Climate

Events

Scalable Parallel Machine Learning on High-Performance Computing Systems - Clustering and Reinforcement Learning

Events

Understanding and Improving the I/O Behavior of Scientific Computing Applications

Events

Parallel Algorithms for De Novo Long Read Genome Assembly via Sparse Linear Algebra

Events

Getting the Most Out of Your Representations

Events

How to Design Peptides

Publications Chemokine-Glycosaminoglycan Interactions: Methods and Protocols

Accurate De Novo Design of Membrane-Traversing Macrocycles

Publications Cell

Enabling Real-Time Adaptation of Machine Learning Models at X-ray Free Electron Laser Facilities with High-Speed Training Optimized Computational Hardware

Publications Frontiers in Physics

Molecular Engineering of Fluoroether Electrolytes for Lithium Metal Batteries

Publications ChemRxi

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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

Small Data is (and may always be?) the Problem

ClimaX: A Foundation Model for Weather and Climate

Scalable Parallel Machine Learning on High-Performance Computing Systems - Clustering and Reinforcement Learning

Understanding and Improving the I/O Behavior of Scientific Computing Applications

Parallel Algorithms for De Novo Long Read Genome Assembly via Sparse Linear Algebra

Getting the Most **Out** of Your Representations

How to Design Peptides

Accurate De Novo Design of Membrane-Traversing Macrocycles

Enabling Real-Time Adaptation of Machine Learning Models at X-ray Free Electron Laser Facilities with High-Speed Training Optimized Computational Hardware

Molecular Engineering of Fluoroether Electrolytes for Lithium Metal Batteries

Getting the Most Out of Your Representations