Paper "Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads" accepted at VLDB 2018

The following paper has been accepted at VLDB 2018 in Rio de Janeiro, Brasil, 27-31 August 2018:

Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads by Tian Li (ETH), Jie Zhong (University of Rochester), Ji Liu (University of Rochester), Wentao Wu (Microsoft Research, Redmond), Ce Zhang (ETH)