Scheduler-driven Job Atomization Improves GPU Cluster Efficiency By Dynamically Allocating Resources And Reducing Fragmentation
Inefficient use of resources plagues modern GPU clusters, particularly those employing Multi-Instance GPU technology, as current scheduling methods…