Summary
Resource scheduling is a critical component of high-performance computing (HPC) systems. Despite extensive literature on scheduling, new challenges continue to arise due to advancements in hardware, software, and evolving models, metrics, and performance demands. Today’s HPC systems operate on an unprecedented scale, presenting significant challenges for resource management, particularly when facing uncertainty introduced by emerging application characteristics and system-level complexities. Existing schedulers lack robust mechanisms to effectively handle uncertainty, limiting their ability to
