Argonne Leadership Computing Facility

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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
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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
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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.
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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.
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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

Graph Contractions for Calculating Correlation Functions in Lattice QCD

Publications PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference

Optimizing Workloads on Aurora and Sunspot: Examples with SYCL Application

Events

Optimal White-Noise Stochastic Forcing for Linear Models of Turbulent Channel Flow

Publications Journal of Fluid Mechanics

Randomized Approaches for Optimal Experimental Design

Events

NERSC/NVIDIA AI for Scientific Computing Bootcamp

Events

Implicit Methods for Deep Learning on Graphs

Events

One Stone, Two Birds: Using Vapor Kinetic Energy to Detect and Understand Atmospheric Rivers

Events

Differentiable Rendering and Beyond

Events

Renee Plzak

Person

Krishna Teja Chitty-Venkata

Person

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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

Graph Contractions for Calculating Correlation Functions in Lattice QCD

Optimizing Workloads on Aurora and Sunspot: Examples with SYCL Application

Optimal White-Noise Stochastic Forcing for Linear Models of Turbulent Channel Flow

Randomized Approaches for Optimal Experimental Design

NERSC/NVIDIA AI for Scientific Computing Bootcamp

Implicit Methods for Deep Learning on Graphs

One Stone, Two Birds: Using Vapor Kinetic Energy to Detect and Understand Atmospheric Rivers

Differentiable Rendering and Beyond

Renee Plzak

Krishna Teja Chitty-Venkata