Gingfung Yeung

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Learning Systems

Restricted Boltzmann Machine

Weakly Supervised

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

Guoliang He, Gingfung Yeung, Sheriffo Ceesay, Adam Barker
vPALs: Towards Verified Performance-aware Learning System For Resource Management. CoRR (2024)
Martin Asenov, Qiwen Deng, Gingfung Yeung, Adam Barker
Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning. IC2E (2023)
Damian Borowiec, Gingfung Yeung, Adrian Friday, Richard Harper, Peter Garraghan
DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs. IEEE Trans. Parallel Distributed Syst. 34 (7) (2023)
Damian Borowiec, Gingfung Yeung, Adrian Friday, Richard H. R. Harper, Peter Garraghan
Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters. CLOUD (2022)
Gingfung Yeung, Damian Borowiec, Renyu Yang, Adrian Friday, Richard Harper, Peter Garraghan
Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems. IEEE Trans. Parallel Distributed Syst. 33 (1) (2022)
Gingfung Yeung, Damian Borowiec, Adrian Friday, Richard Harper, Peter Garraghan
Towards GPU Utilization Prediction for Cloud Deep Learning. HotCloud (2020)
Gingfung Yeung, Damian Borowiec, Renyu Yang, Adrian Friday, Richard Harper, Peter Garraghan
Horus: An Interference-Aware Resource Manager for Deep Learning Systems. ICA3PP (2) (2020)