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During the initialization of a supercomputer job, no useful calculations areperformed. A high proportion of initialization time results in idle computingresources and less computational efficiency. Certain methods and algorithmscombining jobs into groups are used to optimize scheduling of jobs with highinitialization proportion. The article considers the influence of the scaleratio setting in algorithm for the job groups formation, on the performancemetrics of the workload manager. The study was carried out on the developed byauthors Aleabased workload manager model. The model makes it possible toconduct a large number of experiments in reasonable time without losing theaccuracy of the simulation. We performed a series of experiments involvingvarious characteristics of the workload. The article represents the results ofa study of the scale ratio influence on efficiency metrics for differentinitialization time proportions and input workflows with varying intensity andhomogeneity. The presented results allow the workload managers administratorsto set a scale ratio that provides an appropriate balance with contradictoryefficiency metrics.

Scale Ratio Tuning of Group Based Job Scheduling in HPC Systems