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Dr Gingfung Yeung

Former Research Student

  1. Published

    An Empirical Study of Inter-cluster Resource Orchestration within Federated Cloud Clusters

    Lindsay, D., Yeung, G-F., Elkhatib, Y. & Garraghan, P., 13/10/2021, 2021 IEEE International Conference on Joint Cloud Computing (JCC). IEEE, 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  2. Published

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

    Borowiec, D., Yeung, G-F., Friday, A., Harper, R. H. R. & Garraghan, P., 31/07/2023, In: IEEE Transactions on Parallel and Distributed Systems. 34, 7, p. 2208-2220 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Horus: An Interference-aware Resource Manager for Deep Learning Systems

    Yeung, G., Borowiec, D., Yang, R., Friday, A., Harper, R. H. R. & Garraghan, P., 29/09/2020, Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Qiu, M. (ed.). Springer, p. 492-508 17 p. (Lecture Notes in Computer Science; vol. 12453).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  4. Published

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

    Yeung, G-F., Borowiec, D., Yang, R., Friday, A., Harper, R. H. R. & Garraghan, P., 31/01/2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 1, p. 88-100 13 p., 21015055.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Proactive Interference-aware Resource Management in Deep Learning Training Cluster

    Yeung, G-F., 2022, Lancaster University. 219 p.

    Research output: ThesisDoctoral Thesis

  6. Forthcoming

    Towards GPU Utilization Prediction for Cloud Deep Learning

    Yeung, G-F., Borowiec, D., Friday, A., Harper, R. H. R. & Garraghan, P., 1/05/2020, (Accepted/In press) The 12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud '20). USENIX Association

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  7. Forthcoming

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

    Borowiec, D., Yeung, G-F., Friday, A., Harper, R. H. R. & Garraghan, P., 11/05/2022, (Accepted/In press) IEEE International Conference on Cloud Computing. CLOUD 22. IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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