Recent Highlights

January 2024 Became ACM Fellow.
January 2024 Teaching Principles of Learned Systems in Spring 2024!
April 2023 Keynote talks at OFA and KNIT6 ("The Next Decade of Networking: Challenges and Opportunities")
June 2022 ACM SIGCOMM Test of Time Award for the IMC'10 paper "Network Traffic Characteristics of Datacenters in the Wild".

Recent work (Complete list here)

NSDI 24 Cassini: Network-Aware Job Scheduling in Machine Learning Clusters
Sudarsanan Rajasekaran, Manya Ghobadi, and Aditya Akella.
SIGMOD 24 ChainedFilter: Combining Membership Filters by Chain Rule
Haoyu Li, Liuhui Wang, Qizhi Chen, Jianan Ji, Yuhan Wu, Yikai Zhao, Tong Yang, and Aditya Akella.
MLSys at NeurIPS 23 On a Foundation Model for Operating Systems
Divyanshu Saxena, Nihal Sharma, Donghyun Kim, Rohit Dwivedula, Jiayi Chen, Chenxi Yang, Sriram Ravula, Zichao Hu, Aditya Akella, Sebastian Angel, Joydeep Biswas, Swarat Chaudhuri, Isil Dillig, Alex Dimakis, Brighten P Godfrey, Daehyeok Kim, Christopher Rossbach, and Gang Wang.
Sigcomm 23 Darwin: Flexible Learning-based CDN Caching
Jiayi Chen, Nihal Sharma, Tarannum Khan, Shu Liu, Brian Chang, Aditya Akella, Sanjay Shakkottai, and Ramesh Sitaraman.
Sigcomm 23 Resilient Baseband Processing in Virtualized RANs with Slingshot
Nikita Lazarev, Tao Ji, Anuj Kalia, Daehyeok Kim, Ilias Marinos, Francis Y. Yan, Christina Delimitrou, Zhiru Zhang, and Aditya Akella.
ICML 23 Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit
Yeonju Ro, Zhangyang (Atlas) Wang, Vijay Chidambaram, and Aditya Akella.
Sigmetrics 23 Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs
Jiaxin Lin, Tao Ji, Xiangpeng Hao. Hokeun Cha, Yanfang Le, Xiangyao Yu, and Aditya Akella.
NSDI 23 Ringleader: Efficiently Offloading Intra-Server Orchestration to NICs
Jiaxin Lin, Adney Cardoza, Tarannum Khan, Yeonju Ro, Brent Stephens, Hassan Wassel, and Aditya Akella.
NSDI 23 Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE
Kshiteej Mahajan, Ching-Hsiang Chu, Srinivas Sridharan and Aditya Akella.
NSDI 23 Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
Pengfei Zheng, Rui Pan, Tarannum Khan, Shivaram Venkataraman, Aditya Akella.
PVLDB 23 Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases
Hokeun Cha, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, and Xiangyao Yu.
ASPLOS 23 Towards a Machine Learning-Assisted Kernel with LAKE
Henrique Fingler, Isha Tarte, Hangchen Yu, Ariel Szekely, Bodun Hu, Aditya Akella, and Christopher Rossbach.