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06/15/2023
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems
The ability to monitor and interpret of hardware system events and behav...
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07/20/2022
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications
As Graph Neural Networks (GNNs) increase in popularity for scientific ma...
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07/01/2022
Asynchronous Distributed Bayesian Optimization at HPC Scale
Bayesian optimization (BO) is a widely used approach for computationally...
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10/21/2021
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Scientific communities are increasingly adopting machine learning and de...
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03/17/2021
PythonFOAM: In-situ data analyses with OpenFOAM and Python
In this article, we outline the development of a general-purpose Python-...
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10/30/2020
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data
Developing high-performing predictive models for large tabular data sets...
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09/18/2019
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows
We introduce the Balsam service to manage high-throughput task schedulin...
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09/01/2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research
Cancer is a complex disease, the understanding and treatment of which ar...
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05/13/2019
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping
Mapping all the neurons in the brain requires automatic reconstruction o...
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04/26/2019
