37 citations · 48 across the 3 of their papers we have counts for
3 papers
cs.DC2021★ 9 cited
Deep Reinforcement Agent for Scheduling in HPC
Yuping Fan, Zhiling Lan, Taylor Childers +3
Cluster scheduler is crucial in high-performance computing (HPC). It determines when and which user jobs should be allocated to available system resources. Existing cluster schedul…
cs.DC2020★ 37 cited
Scheduling Beyond CPUs for HPC
Yuping Fan, Zhiling Lan, Paul Rich +4
High performance computing (HPC) is undergoing significant changes. The emerging HPC applications comprise both compute- and data-intensive applications. To meet the intense I/O de…
cs.LG2020★ 2 cited
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods
Xingfu Wu, Valerie Taylor, Zhiling Lan
In this paper, we use modeling and prediction tool MuMMI (Multiple Metrics Modeling Infrastructure) and ten machine learning methods to model and predict performance and power and…