Towards GPU Utilization Prediction for Cloud Deep Learning. - Gingfung Yeung; Damian Borowiec; Adrian Friday; Richard Harper 001; Peter Garraghan (HotCloud, 2020)

Horus: An Interference-Aware Resource Manager for Deep Learning Systems. - Gingfung Yeung; Damian Borowiec; Renyu Yang; Adrian Friday; Richard Harper 001; Peter Garraghan (ICA3PP (2), 2020)

The promise and peril of parallel chat in video meetings for work. - Advait Sarkar; Sean Rintel; Damian Borowiec; Rachel Bergmann; Sharon Gillett; Danielle Bragg; Nancy Baym; Abigail Sellen (CHI Extended Abstracts, 2021)

Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters. - Damian Borowiec; Gingfung Yeung; Adrian Friday; Richard H. R. Harper; Peter Garraghan (CLOUD, 2022)

Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems. - Gingfung Yeung; Damian Borowiec; Renyu Yang; Adrian Friday; Richard Harper 001; Peter Garraghan (IEEE Trans. Parallel Distributed Syst., 2022)

Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19. - Rachel Bergmann; Sean Rintel; Nancy Baym; Advait Sarkar; Damian Borowiec; Priscilla N. Y. Wong; Abigail Sellen (Comput. Support. Cooperative Work., 2023)

DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs. - Damian Borowiec; Gingfung Yeung; Adrian Friday; Richard Harper 001; Peter Garraghan (IEEE Trans. Parallel Distributed Syst., 2023)