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U.S. Department of Energy
Office of Scientific and Technical Information
 

Backfilling HPC Jobs with a Multimodal-Aware Predictor.

Conference ·
; ; ; ; ;

Abstract not provided.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, SNL California
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
DOE Contract Number:
NA0003525
OSTI ID:
1889001
Report Number(s):
SAND2021-9246C; 699977
Country of Publication:
United States
Language:
English

References (14)

Runtime prediction of parallel applications with workload-aware clustering journal April 2017
Improving backfilling by using machine learning to predict running times
  • Gaussier, Eric; Glesser, David; Reis, Valentin
  • Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '15 https://doi.org/10.1145/2807591.2807646
conference January 2015
Technical Note—Minimizing Average Flow Time with Parallel Machines journal June 1973
Experience with using the Parallel Workloads Archive journal October 2014
Estimating job runtime for CMS analysis jobs journal June 2014
Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning
  • Tanash, Mohammed; Dunn, Brandon; Andresen, Daniel
  • Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) https://doi.org/10.1145/3332186.3333041
conference July 2019
Analyzing and adjusting user runtime estimates to improve job scheduling on the Blue Gene/P conference January 2010
A Novel Two-Step Job Runtime Estimation Method Based on Input Parameters in HPC System conference April 2019
Predicting application run times with historical information journal September 2004
On the Use of Machine Learning to Predict the Time and Resources Consumed by Applications conference May 2010
Utilization, predictability, workloads, and user runtime estimates in scheduling the IBM SP2 with backfilling journal June 2001
Job fairness in non-preemptive job scheduling conference January 2004
Backfilling Using System-Generated Predictions Rather than User Runtime Estimates journal June 2007
Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates conference September 2017

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