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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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    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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Performance Debugging and Tuning of Flash-X with Data Analysis Tools

Publications SC2022 Workshop on Programming and Performance Visualization Tools (ProTools22)

Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks

Publications Concurrency and Computation: Practice and Experience

Performance and Power Modeling and Prediction Using MuMMI and 10 Machine Learning Methods

Publications Concurrency and Computation: Practice and Experience

Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks

Publications Thirty-Sixth Conference on Neural Information Processing Systems

Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications

Publications Fifth Conference on Machine Learning and Systems

Direct Numerical Simulation of Turbulent Flow Using Hyperbolic Moment Methods

Publications ICCFD11 Proceedings

A Polydisperse Gaussian-Moment Method for Extended Statistical Modelling of Multiphase Flows

Publications ICCFD11 Proceedings

Large-Scale Investigation of 3D Discontinuous-Galerkin-Hancock Method for Hyperbolic Balance Laws with Stiff Local Sources

Publications ICCFD11 Proceedings

Massive Data Visualization Techniques for Use in Virtual Reality Devices

Publications 2022 IEEE 12th Symposium on Large Data Analysis and Visualization (LDAV)

Sort-Last In-Transit Data Visualization with SENSEI, Catalyst, and Unreal Engine

Publications 2022 IEEE 12th Symposium on Large Data Analysis and Visualization (LDAV)

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