Damian Borowiec

According to our database, Damian Borowiec authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Damian Borowiec, Gingfung Yeung, Adrian Friday, Richard Harper, Peter Garraghan

IEEE Trans. Parallel Distributed Syst., July, 2023

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., June, 2023

2022

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

Gingfung Yeung, Damian Borowiec, Renyu Yang, Adrian Friday, Richard Harper, Peter Garraghan

IEEE Trans. Parallel Distributed Syst., 2022

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

Damian Borowiec, Gingfung Yeung, Adrian Friday, Richard H. R. Harper, Peter Garraghan

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021

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

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Horus: An Interference-Aware Resource Manager for Deep Learning Systems.

Gingfung Yeung, Damian Borowiec, Renyu Yang, Adrian Friday, Richard Harper, Peter Garraghan

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Towards GPU Utilization Prediction for Cloud Deep Learning.

Gingfung Yeung, Damian Borowiec, Adrian Friday, Richard Harper, Peter Garraghan

Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020