Memory Usage Prediction of HPC Workloads Using Feature Engineering and Machine Learning-Reference-Cited by-同舟云学术

Memory Usage Prediction of HPC Workloads Using Feature Engineering and Machine Learning

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region
language:
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Author:

Newaz Md Nahid¹^ORCID,Mollah Md Atiqul¹^ORCID

Affiliation:

1. Computer Science and Engineering, Oakland University, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578178.3578241

Reference36 articles.

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5. Arthur Bland , Wayne Joubert , Don Maxwell , Norbert Podhorszki , Jim Rogers , Galen Shipman , and Arnold Tharrington . 2017. Titan: 20-petaflop Cray XK7 at Oak Ridge National Laboratory . In Contemporary High Performance Computing . Chapman and Hall/CRC , 399–420. Arthur Bland, Wayne Joubert, Don Maxwell, Norbert Podhorszki, Jim Rogers, Galen Shipman, and Arnold Tharrington. 2017. Titan: 20-petaflop Cray XK7 at Oak Ridge National Laboratory. In Contemporary High Performance Computing. Chapman and Hall/CRC, 399–420.

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