Quantifying Uncertainty in HPC Job Queue Time Predictions

Author:

Menear Kevin1ORCID,Scully-Allison Connor2ORCID,Duplyakin Dmitry3ORCID

Affiliation:

1. National Renewable Energy Laboratory, USA and Georgia Institute of Technology, USA

2. National Renewable Energy Laboratory, USA and University of Utah, USA

3. National Renewable Energy Laboratory, USA

Publisher

ACM

Reference15 articles.

1. Nick Brown, Gordon Gibb, Evgenij Belikov, and Rupert Nash. 2022. Predicting batch queue job wait times for informed scheduling of urgent hpc workloads. arXiv preprint arXiv:2204.13543 (2022).

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

4. Eyke Hüllermeier and Willem Waegeman. 2021. Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods. Machine learning 110, 3 (2021), 457–506.

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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