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

Kaushik Velusamy

Person

Statistical Analysis and Visualization of Topological Descriptors for Scientific Data

Events

Simulated data modeled for the ATLAS detector

Performance and Reliability of Landau Logic and Memory Transistors

Events

Applications of IoT Technologies and Artificial Intelligence in Ecological Sensing

Events

GPMR: An Iterative Method for Square Partitioned Linear Systems

Events

Introduction to ATPESC and a Guide to Applying

Events

Artificial Intelligence-Assisted Design and Virtual Diagnostic for the Initial Condition of a Storage-Ring-Based Quantum Information System

Publications IEEE Access

Towards Exascale: A Sparse Communications (SpComm) Tool for Distributed SpMM on Multi-GPU Nodes

Events

Technology and Protocols for Networked Quantum Memories

Events

Deep Reinforcement Agent for Scheduling in HPC

Publications 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

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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

Kaushik Velusamy

Statistical Analysis and Visualization of Topological Descriptors for Scientific Data

Performance and Reliability of Landau Logic and Memory Transistors

Applications of IoT Technologies and Artificial Intelligence in Ecological Sensing

GPMR: An Iterative Method for Square Partitioned Linear Systems

Introduction to ATPESC and a Guide to Applying

Artificial Intelligence-Assisted Design and Virtual Diagnostic for the Initial Condition of a Storage-Ring-Based Quantum Information System

Towards Exascale: A Sparse Communications (SpComm) Tool for Distributed SpMM on Multi-GPU Nodes

Technology and Protocols for Networked Quantum Memories

Deep Reinforcement Agent for Scheduling in HPC