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Dr Damian Borowiec

Formerly at Lancaster University

  1. Conference contribution/Paper
  2. 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

  3. Published

    The Promise and Peril of Parallel Chat in Video Meetings for Work

    Sarkar, A., Rintel, S., Borowiec, D., Bergmann, R., Gillett, S., Bragg, D., Baym, N. & Sellen, A., 13/05/2021, Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts). New York: ACM Press, 8 p. 260

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

  4. 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

  5. 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

  6. Doctoral Thesis
  7. Published

    Analysing and Reducing Costs of Deep Learning Compiler Auto-tuning

    Borowiec, D., 03/2023, Lancaster University. 384 p.

    Research output: ThesisDoctoral Thesis

  8. Journal article
  9. 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

  10. Published

    Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19

    Bergmann, R., Rintel, S., Baym, N., Sarkar, A., Borowiec, D., Wong, P. & Sellen, A., 30/06/2023, In: Computer Supported Cooperative Work. 32, 2, p. 347-383 37 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. 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

  12. Published

    Environmental Consequence of Deep Learning

    Borowiec, D., Harper, R. H. R. & Garraghan, P., 11/01/2022, In: ITNOW. 63, 4, p. 10-11 2 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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