  Diverse workloads such as interactive supercomputing, big data analysis, and
large-scale AI algorithm development, requires a high-performance scheduler.
This paper presents a novel node-based scheduling approach for large scale
simulations of short running jobs on MIT SuperCloud systems, that allows the
resources to be fully utilized for both long running batch jobs while
simultaneously providing fast launch and release of large-scale short running
jobs. The node-based scheduling approach has demonstrated up to 100 times
faster scheduler performance that other state-of-the-art systems.

Distributed, Parallel, and Cluster Computing