Recent Highlights

Jul 2025 Teaching a new grad course on Systems and GenAI in fall'25!
March 2025 The first LDOS PhD research School (May 20-21, 2025) was a great success!
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.

Recent work (Complete list here)

IROS 25 ConfigBot: Adaptive Resource Allocation for Robot Applications in Dynamic Environments
Rohit Dwivedula, Sadanand Modak, Aditya Akella, Joydeep Biswas, Daehyeok Kim, Christopher Rossbach.
ACL 25 StitchLLM: Serving LLMs, One Block at a Time
Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella.
ICML 25 HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training
Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella.
ICML 25 On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving
Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella.
HotOS 25 How I learned to stop worrying and love learned OS policies
Divyanshu Saxena, Jiayi Chen, Sujay Yadalam, Yeonju Ro, Rohit Dwivedula, Eric H. Campbell, Aditya Akella, Christopher J. Rossbach, Michael Swift.
ICLR 25 CONGO: Compressive Online Gradient Optimization
Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella.
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.