Publications
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2024
On the Criticality of Integrity Protection in 5G Fronthaul Networks
Jiarong Xing,
Sophia Yoo,
Xenofon Foukas,
Daehyeok Kim,
Michael K. Reiter
ChainedFilter: Combining Membership Filters by Chain Rule
Haoyu Li,
Liuhui Wang,
Qizhi Chen,
Jianan Ji,
Yuhan Wu,
Yikai Zhao,
Tong Yang,
Aditya Akella
2023
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,
Daehyeok Kim,
Chris Rossbach,
Gang Wang
Jiarong Xing,
Junzhi Gong,
Xenofon Foukas,
Anuj Kalia,
Daehyeok Kim,
Manikanta Kotaru
LogNIC: A High-Level Performance Model for SmartNICs
Zerui Guo,
Jiaxin Lin,
Yuebin Bai,
Daehyeok Kim,
Michael Swift,
Aditya Akella,
Ming Liu
Configuring the OS for Tomorrow's Robots
Madhav Tummala,
Daehyeok Kim,
Joydeep Biswas,
Aditya Akella
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,
Aditya Akella
Darwin: Flexible Learning-based CDN Caching
Jiayi Chen,
Nihal Sharma,
Tarannum Khan,
Shu Liu,
Brian Chang,
Aditya Akella,
Sanjay Shakkottai,
Ramesh Sitaraman
Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases
Hokeun Cha,
Xiangpeng Hao,
Tianzheng Wang,
Huanchen Zhang,
Aditya Akella,
Xiangyao Yu
Navigating Performance-Efficiency Tradeoffs in Serverless Computing: Deduplication to the Rescue!
Divyanshu Saxena,
Tao Ji,
Arjun Singhvi,
Junaid Khalid,
Aditya Akella
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit
Yeonju Ro,
Zhangyang Wang,
Vijay Chidambaram,
Aditya Akella
Divyanshu Saxena,
William Zhang,
Madhav Tummala,
Saksham Goel,
Aditya Akella
Invited paper
Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE
Kshiteej Mahajan,
Ching-Hsiang Chu,
Srinivas Sridharan,
Aditya Akella
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
Pengfei Zheng,
Rui Pan,
Tarannum Khan,
Shivaram Venkataraman,
Aditya Akella