Tandem Predictions for HPC jobs

Author:

Menear Kevin1ORCID,Konate Kadidia2ORCID,Potter Kristi1ORCID,Duplyakin Dmitry1ORCID

Affiliation:

1. National Renewable Energy Laboratory, USA

2. Lawrence Berkeley National Laboratory, USA

Publisher

ACM

Reference20 articles.

1. N Brown, G Gibb, E Belikov, and R Nash. [n. d.]. Predicting batch queue job wait times for informed scheduling of urgent HPC workloads (2022). DOI: https://doi. org/10.48550/ARXIV 2204 ([n. d.]).

2. Fabio Carfi. 2020. Predicting the pending time of jobs submitted on a High-Performance Computing cluster through a hierarchical classification strategy. Ph. D. Dissertation. Politecnico di Torino.

3. github.com / NREL. 2023. Eagle Jobs: An HPC dataset of 11M+ jobs and a Codebase for HPC Runtime Prediction Models. Retrieved March 6, 2024 from https://github.com/NREL/eagle-jobs

4. Learning-Based Approaches to Estimate Job Wait Time in HTC Datacenters

5. Scott Hutchison, Daniel Andresen, Mitchell Neilsen, William Hsu, and Benjamin Parsons. 2022. High Performance Computing Queue Time Prediction Using Clustering and Regression. In International Conference on Parallel Processing and Applied Mathematics. Springer, 260–272.

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