| Argonne Leadership Computing Facility

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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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: [email protected]
Guides
Featured: Get Started

Featured: MyALCF

Performance Optimization of ML and HPC Applications on Heterogeneous Systems

Events 07/06/2021

Mining Development Data to Understand and Improve Software Engineering Processes in HPC Projects

Events 07/07/2021

Simulating OpenMP Task-Based Applications with NUMA Effects

Events 06/21/2021

The Diffuse Bounce Back Condition for Lattice Boltzmann Method

Events 07/07/2021

Abyssal Flow Past a Three-Dimensional Hill: Numerical Simulations

Events 07/01/2021

Energy Exascale Earth System Model (E3SM)

Thermodynamic Consistency in the Lattice Boltzmann Method

Events 06/29/2021

Magnetohydrodynamic turbulence powered by neutrino driven convection

Performance, Portability, and Productivity

Events 06/30/2021

Quantum Computing and Computational Fluid Dynamics: Current Progress and Future Potential

Events 06/16/2021

GE: How Supercomputers Are Fast-Tracking Innovation

A Statistical Distribution-Based Deep Neural Network Model – a new perspective on effective learning

Events 07/01/2021

Developing a domain-specific language in Python to achieve productivity, portability and performance for a weather and climate model

Events 06/09/2021

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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

Performance Optimization of ML and HPC Applications on Heterogeneous Systems

Mining Development Data to Understand and Improve Software Engineering Processes in HPC Projects

Simulating OpenMP Task-Based Applications with NUMA Effects

The Diffuse Bounce Back Condition for Lattice Boltzmann Method

Abyssal Flow Past a Three-Dimensional Hill: Numerical Simulations

Thermodynamic Consistency in the Lattice Boltzmann Method

Performance, Portability, and Productivity

Quantum Computing and Computational Fluid Dynamics: Current Progress and Future Potential

A Statistical Distribution-Based Deep Neural Network Model – a new perspective on effective learning

Developing a domain-specific language in Python to achieve productivity, portability and performance for a weather and climate model