Evaluating HPC Job Run Time Predictions Using Application Input Parameters
Kenneth Lamar, Alexander V. Goponenko, Omar Aaziz, Benjamin A. Allan, James M. Brandt, Damian Dechev · 2023
It is difficult to accurately predict application run times in high performance computing (HPC), yet these predictions have useful applications in job scheduling and user feedback. User-led predictions can be inaccurate for a variety of factors, including inexperience, user burden, and an incentive to overpredict. Most automated efforts consider standardized job inputs from submission scripts but ignore application input parameters. Application input parameters can greatly enhance run time prediction accuracy but have typically been avoided due to the need for manual, per-application parameter collection.