Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems-Reference-Cited by-同舟云学术

Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing
language:
Short-container-title:

Author:

Paul Arnab K.¹,Choi Jong Youl²,Karimi Ahmad Maroof²,Wang Feiyi²

Affiliation:

1. Oak Ridge National Laboratory & BITS Pilani, Zuarinagar, India

2. Oak Ridge National Laboratory, Oak Ridge, TN, USA

Funder

Office of Science of the U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3502181.3531457

Reference54 articles.

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4. [n.d.]. Lustre Monitoring Tool. https://github.com/LLNL/lmt. Accessed : October 12 2021 . [n.d.]. Lustre Monitoring Tool. https://github.com/LLNL/lmt. Accessed: October 12 2021.

5. [n.d.]. Perlmutter Supercomputer . https://www.nersc.gov/systems/perlmutter/. Accessed : April 20 2022 . [n.d.]. Perlmutter Supercomputer. https://www.nersc.gov/systems/perlmutter/. Accessed: April 20 2022.

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