Scott Greenwood
According to our database1,
Scott Greenwood
authored at least 5 papers
between 2017 and 2025.
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Bibliography
2025
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers.
CoRR, November, 2025
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research.
CoRR, June, 2025
2024
Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities.
Proceedings of the IEEE Visualization and Visual Analytics, 2024
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale.
Proceedings of the International Conference for High Performance Computing, 2024
2017
Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, 2017