Recent Highlights

August 2024 Taught a new upper division elective Systems for Machine Learning in fall'24!
May 2024 LDOS NSF Expedition in Computing awarded. See NSF and UT Austin press releases!
January 2024 Became ACM Fellow.
January 2024 Taught Principles of Learned Systems in Spring 2024!

Recent work (Complete list here)

NSDI 25 Portable and High-Performance SmartNIC Programs with Alkali
Jiaxin Lin, Zhiyuan Guo, Mihir Shah, Tao Ji, Yiying Zhang, Daehyeok Kim, and Aditya Akella.
NSDI 25 MTP: A Transport for In-Network Computing
Tao Ji, Rohan Vardekar, Balajee Vamanan, Brent Stephens and Aditya Akella.
ASPLOS 25 Expressive and Efficient Service Mesh Policies
Divyanshu Saxena, William Zhang, Shankara Pailoor, Isil Dillig, and Aditya Akella.
NeurIPS 24 Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang.
NSDI 24 Cassini: Network-Aware Job Scheduling in Machine Learning Clusters
Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella.
EMNLP 24 MOSEL: Inference Serving Using Dynamic Modality Selection
Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja Yadwadkar, and Aditya Akella.
EMNLP 24 FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella