| Argonne Leadership Computing Facility

Argonne Leadership Computing Facility

About
- Get to Know More
  
  Leadership
  
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  Visiting ALCF
  
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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

Controlling the p-Type Conductivity of α-SnO Thin Films by Potassium Doping

Publications APL Materials

Advancing Fusion and Fission Energy through Exascale

Research Project Engineering

Digital Twins of Heterogeneous Reaction Dynamics in Catalysts and Batteries

Research Project Materials Science

Advancing Fusion Reactor Materials Through Exascale Simulations

Research Project Materials Science

AuroraGPT: A Large-Scale Foundation Model for Advancing Science

Research Project Computer Science

High-Energy Electrons Driven by High-Power Lasers for Strong-Field Physics

Research Project Physics

Exascale Simulations of Laser Plasma Interactions Driven by Structured Light

Research Project Physics

AI-facilitated Global Profile Prediction in Tokamak Plasma

Research Project Physics

Natural Language Prompt Guided Design of Functional de Novo Proteins

Research Project Biological Sciences

Predicting Evolutionary Pathways with Foundational Genome-Scale Language Models

Research Project Biological Sciences

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Accelerating Science

Leadership Computing Resources

Computational Science

Featured: Engineering

Growing the HPC Community

Support Center

Featured: MyALCF

Controlling the p-Type Conductivity of α-SnO Thin Films by Potassium Doping

Advancing Fusion and Fission Energy through Exascale

Digital Twins of Heterogeneous Reaction Dynamics in Catalysts and Batteries

Advancing Fusion Reactor Materials Through Exascale Simulations

AuroraGPT: A Large-Scale Foundation Model for Advancing Science

High-Energy Electrons Driven by High-Power Lasers for Strong-Field Physics

Exascale Simulations of Laser Plasma Interactions Driven by Structured Light

AI-facilitated Global Profile Prediction in Tokamak Plasma

Natural Language Prompt Guided Design of Functional de Novo Proteins

Predicting Evolutionary Pathways with Foundational Genome-Scale Language Models