Items where Author is "Yeung, Ging-Fung"

Borowiec, Damian and Yeung, Ging-Fung and Friday, Adrian and Harper, R.H.R. and Garraghan, Peter (2023) DOPpler: Parallel Measurement Infrastructure for Auto-tuning Deep Learning Tensor Programs. IEEE Transactions on Parallel and Distributed Systems, 34 (7). pp. 2208-2220. ISSN 1045-9219

Borowiec, Damian and Yeung, Ging-Fung and Friday, Adrian and Harper, R.H.R. and Garraghan, Peter (2022) Trimmer : Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters. In: Proceedings - 2022 IEEE 15th International Conference on Cloud Computing, CLOUD 2022 :. IEEE, ESP, pp. 374-384. ISBN 9781665481380

Yeung, Ging-Fung and Borowiec, Damian and Yang, Renyu and Friday, Adrian and Harper, R.H.R. and Garraghan, Peter (2022) Horus : Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems. IEEE Transactions on Parallel and Distributed Systems, 33 (1): 21015055. pp. 88-100. ISSN 1045-9219

Yeung, Ging-Fung and Garraghan, Peter and Friday, Adrian (2022) Proactive Interference-aware Resource Management in Deep Learning Training Cluster. PhD thesis, Lancaster University.

Lindsay, Dominic and Yeung, Ging-Fung and Elkhatib, Yehia and Garraghan, Peter (2021) An Empirical Study of Inter-cluster Resource Orchestration within Federated Cloud Clusters. In: 2021 IEEE International Conference on Joint Cloud Computing (JCC) :. IEEE. ISBN 9781665434805

Yeung, Ging-Fung and Borowiec, Damian and Friday, Adrian and Harper, R.H.R. and Garraghan, Peter (2020) Towards GPU Utilization Prediction for Cloud Deep Learning. In: The 12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud '20) :. USENIX Association. (In Press)