no code implementations • 5 Feb 2019 • Hidehito Yabuuchi, Daisuke Taniwaki, Shingo Omura
One significant challenge in the job scheduling of computing clusters for the development of deep learning algorithms is the efficient scheduling of trial-and-error (TE) job, the type of job in which the users seek to conduct small-scale experiments while monitoring their processes.