Bilge Acun is a Research Scientist at Facebook AI Research (FAIR). Her research interests include Systems for Machine Learning, Parallel and Distributed Computing, Energy Efficient Computing. She is working on making large-scale machine learning systems fast and efficient. Particularly, she works on two optimization areas to improve the system throughput and efficiency:System and hardware optimizations using accelerators i.e. GPUs / TPUs and
Algorithmic methods such as tensor compression.
Bilge received her Ph.D. degree in 2017 at the Department of Computer Science at Universtiy of Illinois at Urbana-Champaign. Her dissertation received the 2018 ACM SigHPC Dissertation Award Honorable Mention. Before joining Facebook, she worked at the IBM Thomas J. Watson Research Center as a Research Staff Member.
June 14, 2024
Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Nas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed Aly, Beidi Chen, Carole-Jean Wu
June 14, 2024
June 07, 2024
Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim Hazelwood
June 07, 2024
July 12, 2022
Bilge Acun, Aditya Sundarrajan, Benjamin Lee, Carole-Jean Wu, David Brooks, Fiodar Kazhamiaka, Kiwan Maeng, Manoj Chakkaravarthy
July 12, 2022
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