  During the initialization of a supercomputer job, no useful calculations are
performed. A high proportion of initialization time results in idle computing
resources and less computational efficiency. Certain methods and algorithms
combining jobs into groups are used to optimize scheduling of jobs with high
initialization proportion. The article considers the influence of the scale
ratio setting in algorithm for the job groups formation, on the performance
metrics of the workload manager. The study was carried out on the developed by
authors Aleabased workload manager model. The model makes it possible to
conduct a large number of experiments in reasonable time without losing the
accuracy of the simulation. We performed a series of experiments involving
various characteristics of the workload. The article represents the results of
a study of the scale ratio influence on efficiency metrics for different
initialization time proportions and input workflows with varying intensity and
homogeneity. The presented results allow the workload managers administrators
to set a scale ratio that provides an appropriate balance with contradictory
efficiency metrics.
