Items where Author is "Borowiec, Damian"

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

Bergmann, Rachel and Rintel, Sean and Baym, Nancy and Sarkar, Advait and Borowiec, Damian and Wong, Priscilla and Sellen, Abigail (2023) Meeting (the) Pandemic : Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19. Computer Supported Cooperative Work, 32 (2). pp. 347-383. ISSN 0925-9724

Borowiec, Damian and Garraghan, Peter and Harper, Richard (2023) Analysing and Reducing Costs of Deep Learning Compiler Auto-tuning. PhD thesis, Lancaster University.

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

Borowiec, Damian and Harper, R.H.R. and Garraghan, Peter (2022) Environmental Consequence of Deep Learning. ITNOW, 63 (4). pp. 10-11. ISSN 1746-5702

Sarkar, Advait and Rintel, Sean and Borowiec, Damian and Bergmann, Rachel and Gillett, Sharon and Bragg, Danielle and Baym, Nancy and Sellen, Abigail (2021) The Promise and Peril of Parallel Chat in Video Meetings for Work. In: Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts) :. ACM Press, JPN. ISBN 9781450380959

Yeung, Gingfung and Borowiec, Damian and Yang, Renyu and Friday, Adrian and Harper, R.H.R. and Garraghan, Peter (2020) Horus : An Interference-aware Resource Manager for Deep Learning Systems. In: Algorithms and Architectures for Parallel Processing. ICA3PP 2020 :. Lecture Notes in Computer Science . Springer, pp. 492-508. ISBN 9783030602383

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)