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Argonne Leadership Computing Facility

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    The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.

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    Aurora
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Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP

Publications 2023 IEEE 19th International Conference on e-Science (e-Science)

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler

Publications ICLR 2024

AI Ensemble for Signal Detection of Higher Order Gravitational Wave Modes of Quasi-Circular, Spinning, Non-Precessing Binary Black Hole Mergers

Publications 2023 Workshop on Machine Learning and the Physical Sciences

Numerical Relativity Higher Order Gravitational Waveforms of Eccentric, Spinning, Nonprecessing Binary Black Hole Mergers

Publications Physical Review D

Star Cluster Classification Using Deep Transfer Learning with PHANGS-HST

Publications Monthly Notices of the Royal Astronomical Society

FAIR AI Models in High Energy Physics

Publications Machine Learning: Science and Technology

HEPnOS: A Specialized Data Service for High Energy Physics Analysis

Publications 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

Towards Elastic In Situ Analysis for High-Performance Computing Simulations

Publications Journal of Parallel and Distributed Computing

Altair Future.Industry 2024 Presentation

Events

Workload Management at the ALCF Including Aurora - One of the Fastest Supercomputers in the World

Image of Aurora and Bill Allcock

Tailored Large Language Models for Site-Specific Wildfire Risk Assessment and Decision-Making

Events

EVS Seminar Graphic

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