Gingfung Yeung

According to our database, Gingfung Yeung authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs.

Damian Borowiec, Gingfung Yeung, Adrian Friday, Richard Harper, Peter Garraghan

IEEE Trans. Parallel Distributed Syst., July, 2023

Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning.

Martin Asenov, Qiwen Deng, Gingfung Yeung, Adam Barker

Proceedings of the IEEE International Conference on Cloud Engineering, 2023

2022

Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems.

Gingfung Yeung, Damian Borowiec, Renyu Yang, Adrian Friday, Richard Harper, Peter Garraghan

IEEE Trans. Parallel Distributed Syst., 2022

Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters.

Damian Borowiec, Gingfung Yeung, Adrian Friday, Richard H. R. Harper, Peter Garraghan

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2020

Horus: An Interference-Aware Resource Manager for Deep Learning Systems.

Gingfung Yeung, Damian Borowiec, Renyu Yang, Adrian Friday, Richard Harper, Peter Garraghan

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Towards GPU Utilization Prediction for Cloud Deep Learning.

Gingfung Yeung, Damian Borowiec, Adrian Friday, Richard Harper, Peter Garraghan

Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020