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Group by: Official Date | Item Type | Funder | No Grouping
Jump to: Conference Item | Thesis
Number of items: 5.

Conference Item

Alharthi, Khalid, Jhumka, Arshad, Di, Sheng, Cappello, Franck and Chuah, Edward (2021) Sentiment analysis based error detection for large-scale systems. In: 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (DSN'21), Taipei, Taiwan, 21-24 Jun 2021. Published in: 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) ISBN 9781665411943. doi:10.1109/DSN48987.2021.00037 ISSN 1530-0889.

Chuah, Edward, Jhumka, Arshad, Alt, Samantha, Damoulas, Theodoros, Gurumdimma, Nentawe, Sawley, Marie-Christine, Barth, William L., Minyard, Tommy and Browne, James C. (2018) Enabling dependability-driven resource use and message log-analysis for cluster system diagnosis. In: 24th IEEE International Conference on High Performance Computing, Data, and Analytics, Jaipur, India, 18-21 Dec 2017. Published in: 2017 IEEE 24th International Conference on High Performance Computing (HiPC) ISBN 9781538622940. doi:10.1109/HiPC.2017.00044

Chuah, Edward, Jhumka, Arshad, Alt, Samantha, Damoulas, Theodoros, Gurumdimma, Nentawe, Sawley, Marie-Christine, Barth, William L., Minyard, Tommy and Browne, James C. (2017) Case study of error recovery and error propagation on ranger. In: 24th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2017), Jaipur, India, 18-21 Dec 2017 (Unpublished)

Chuah, Edward, Jhumka, Arshad, Browne, James C., Gurumdimma, Nentawe, Narasimhamurthy, Sai and Barth, Bill (2017) Using message logs and resource use data for cluster failure diagnosis. In: 23rd annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2016), Hyderabad, India, 19-22 Dec 2016 ISBN 9781509054114.

Thesis

Chuah, Edward (2020) Features correlation-based workflows for high-performance computing systems diagnosis. PhD thesis, University of Warwick.

This list was generated on Tue Mar 21 16:37:33 2023 GMT.
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