Interpreting Write Performance of Supercomputer I/O Systems with Regression Models-Reference-Cited by-同舟云学术

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Interpreting Write Performance of Supercomputer I/O Systems with Regression Models

Published:2021-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
language:
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Author:

Xie Bing,Tan Zilong,Carns Philip,Chase Jeff,Harms Kevin,Lofstead Jay,Oral Sarp,Vazhkudai Sudharshan S.,Wang Feiyi

Funder

U.S. Department of Energy

Office of Science

Advanced Scientific Computing Research

National Nuclear Security Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9458946/9458962/09460466.pdf?arnumber=9460466

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. I/O-signature-based feature analysis and classification of high-performance computing applications;Cluster Computing;2023-09-24

2. AIIO: Using Artificial Intelligence for Job-Level and Automatic I/O Performance Bottleneck Diagnosis;Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing;2023-08-07

3. Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis;Journal of Big Data;2023-05-17

4. A Taxonomy of Error Sources in HPC I/O Machine Learning Models;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

5. Battle of the Defaults: Extracting Performance Characteristics of HDF5 under Production Load;2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid);2021-05

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