LLload: Simplifying Real-Time Job Monitoring for HPC Users-Reference-Cited by-同舟云学术

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LLload: Simplifying Real-Time Job Monitoring for HPC Users

Published:2024-07-17 Issue: Volume: Page:1-4
ISSN:
Container-title:Practice and Experience in Advanced Research Computing 2024: Human Powered Computing
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Author:

Byun Chansup¹^ORCID,Mullen Julia¹^ORCID,Reuther Albert Iwersen¹^ORCID,Arcand William¹^ORCID,Bergeron William¹^ORCID,Bestor David¹^ORCID,Burrill Daniel¹^ORCID,Gadepally Vijay¹^ORCID,Houle Michael¹^ORCID,Hubbell Matthew¹^ORCID,Jananthan Hayden¹^ORCID,Jones Michael¹^ORCID,Michaleas Peter¹^ORCID,Morales Guillermo¹^ORCID,Prout Andrew¹^ORCID,Rosa Antonio¹^ORCID,Yee Charles¹^ORCID,Kepner Jeremy¹^ORCID,Milechin Lauren²^ORCID

Affiliation:

1. SuperComputing Center, MIT Lincoln Laboratory, USA

2. Massachusetts Institute of Technology, USA

Funder

USDR&E

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626203.3670565

Reference10 articles.

1. [n. d.]. Introduction to Profiling. Retrieved April 10, 2024 from https://www.chpc.utah.edu/presentations/IntroProf.php

2. [n. d.]. Performance Tools. Retrieved April 10, 2024 from https://docs.nersc.gov/tools/performance/

3. [n. d.]. Runtime Profiling. Retrieved April 10, 20204 from https://hpc-wiki.info/hpc/Runtime_profiling

4. [n. d.]. TAU: Tuning and Analysis Utilities. Retrieved April 10, 2024 from https://hpc.llnl.gov/software/development-environment-software/tau-tuning-and-analysis-utilities

5. 2024. Monitoring systems and job status. Retrieved April 5, 2024 from https://mit-supercloud.github.io/supercloud-docs/monitoring-system-and-jobs/#llload

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