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Systems & networking

Researching and inventing new technologies for next-generation infrastructures and platforms for sensors, devices and the cloud.

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Efficient AI | Making Azure's big bet possible

Weishung Liu on the Microsoft Research Podcast

What’s Your Story: Weishung Liu | Microsoft Research Podcast

AI Infrastructure | Towards efficient AI/ML deployment

Microsoft at ASPLOS 2024: Advancing hardware and software for high-scale, secure, and efficient modern applications

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Published Date

Publication

Sequence Abstractions for Flexible, Line-Rate Network Monitoring

Ryan Beckett

2024 Networked Systems Design and Implementation | April 2024

Publication

ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices

Hao Yin, Murali Ramanujam, Joe Schaefer , Stan Adermann, Srihari Narlanka, Perry Lea, Ravi Netravalli, Krishna Chintalapudi

NSDI | April 2024

Publication

MESSI: Behavioral Testing of BGP Implementations

Rathin Singha, Rajdeep Mondal, Ryan Beckett, Siva Kesava Reddy Kakarla, Todd Millstein, George Varghese

NSDI 2024 | April 2024

Publication

Vulcan: Automatic Query Planning for Live ML Analytics

Yiwen Zhang, Xumiao Zhang, Ganesh Ananthanarayanan, Anand Iyer, Yuanchao Shu, Victor Bahl, Z. Morley Mao, Mosharaf Chowdhury

USENIX NSDI | April 2024

Event

Microsoft at NSDI ’24

April 16, 2024 – April 18, 2024 | Santa Clara, CA, USA

Publication

ExChain: Exception Dependency Analysis for Root Cause Diagnosis

Ao Li, Shan Lu, Suman Nath, Rohan Padhye, Vyas Sekar

USENIX NSDI | April 2024

Project

Publication

Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression

Muhammad Osama Shahid, Daniel Koch, Jayaram Raghuram, Bhuvana Krishnaswamy, Krishna Chintalapudi, Suman Banerjee

NSDI | April 2024

Publication

An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Project

Tool

nnScaler

The nnScaler is a system that takes a DNN model that designed for single device, e.g., GPU, and automatically convert it into the program that can execute concurrently on multiple devices.

GitHub Publication

Publication

LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search

Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan

NSDI 2024 | April 2024

Systems & networking

Highlights