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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

    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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    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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    The ALCF Support Center assists users with support requests related to their ALCF projects.

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    Email: support@alcf.anl.gov

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A Database of Thermally Activated Delayed Fluorescent Molecules Auto-Generated from Scientific Literature with ChemDataExtractor

Publications Scientific Data

2022 AI Testbed Expeditions Report

Publications Argonne National Laboratory

Overview of Aurora's Exascale Compute Blade

Events

ALCF Developer Session Feb 2024 Graphic - features text "ALCF Developer Session", the date of the webinar "02/28/2024", and a picture of Aurora.

Boeing’s Applied Math Group, 25 Years of the Model Management Framework, and Parametric Geometry Generation

Events

LANS Seminar Graphic

Uncertainty Quantification for Remote Sensing Data

Events

LANS Seminar Graphic

Graph Compression, Neural Networks, and More – Using Oscillators to Compute

Events

CS Seminar Graphic

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

Events

MCS Seminar Graphic

Structure Exploitation in Matrix Optimization Problems via Proximal Splitting Methods with Bregman Divergences

Events

MCS Seminar Graphic

From Blood Flow to Airplanes: Efficient Coupling Methods for Physical Systems Based on Robin-type Coupling Conditions

Events

MCS Seminar Graphic

Continual Pre-Training of Foundation Models

Events

TPC Seminar Graphic

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