AI gauge: Runtime estimation for deep learning in the cloud
Parijat Dube, Tonghoon Suk, et al.
SBAC-PAD 2019
We consider a fluid model of n x n input-queued switches with associated fluid-flow costs and derive an optimal scheduling control policy to an infinite horizon discounted control problem with a general linear objective function of fluid cost. Our optimal policy coincides with the cμ-rule in certain parameter domains, but more generally, takes the form of the solution to a flow maximization problem. Computational experiments demonstrate the benefits of our optimal scheduling policy over variants of max-weight scheduling and the cμ-rule.
Parijat Dube, Tonghoon Suk, et al.
SBAC-PAD 2019
Songtao Lu, Siliang Zeng, et al.
NeurIPS 2022
Yingdong Lu, Mark S. Squillante, et al.
ACM SIGMETRICS Performance Evaluation Review
Petar Momcilović, Mark S. Squillante
ACM SIGMETRICS Performance Evaluation Review