Towards GPU Utilization Prediction for Cloud Deep Learning. - Gingfung Yeung; Damian Borowiec; Adrian Friday; Richard Harper 001; Peter Garraghan (HotCloud, 2020)

Horus: An Interference-Aware Resource Manager for Deep Learning Systems. - Gingfung Yeung; Damian Borowiec; Renyu Yang; Adrian Friday; Richard Harper 001; Peter Garraghan (ICA3PP (2), 2020)

Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters. - Damian Borowiec; Gingfung Yeung; Adrian Friday; Richard H. R. Harper; Peter Garraghan (CLOUD, 2022)

Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems. - Gingfung Yeung; Damian Borowiec; Renyu Yang; Adrian Friday; Richard Harper 001; Peter Garraghan (IEEE Trans. Parallel Distributed Syst., 2022)

Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning. - Martin Asenov; Qiwen Deng; Gingfung Yeung; Adam Barker (IC2E, 2023)

DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs. - Damian Borowiec; Gingfung Yeung; Adrian Friday; Richard Harper 001; Peter Garraghan (IEEE Trans. Parallel Distributed Syst., 2023)

vPALs: Towards Verified Performance-aware Learning System For Resource Management. - Guoliang He; Gingfung Yeung; Sheriffo Ceesay; Adam Barker (CoRR, 2024)