Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC

Author:

Brewer Wesley,Martinez Daniel,Boyer Mathew,Jude Dylan,Wissink Andy,Parsons Ben,Yin Junqi,Anantharaj Valentine

Funder

Office of Science

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning Models for Multirotor Performance Prediction;Journal of Aircraft;2024-07

2. Toward Competitive Serverless Deep Learning;Proceedings of the 4th International Workshop on Distributed Infrastructure for the Common Good;2023-12-11

3. Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

4. Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications;2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2022-05

5. ROAM-ML: A reduced order aerodynamic module augmented with neural network digital surrogates;AIAA SCITECH 2022 Forum;2022-01-03

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