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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

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure

Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin 林庆维, Murali Chintalapati, Dongmei Zhang

SOCC’24 | November 2024

Publication

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang

November 2024

Github

Publication

Reward Copilot for RL-driven Systems Optimization

Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan

Advances in Neural Information Processing Systems 2024 – Workshop on ML For Systems | November 2024

Publication

Towards Safer Heuristics With XPlain

Pantea Karimi, Solal Pirelli, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Beibin Li, Pooria Namyar, Behnaz Arzani

HotNets | November 2024

Project

Publication

Self-maintaining [networked] systems: The rise of datacenter robotics!

Freddie Hong, Iason Sarantopoulos, Elliott Hogg, David Richardson, Yizhong Zhang, Hugh Williams, David Sweeney, Andromachi Chatzieleftheriou, Ant Rowstron

2024 Hot Topics in Networks | November 2024

Project

Publication

Reviving Cloud Gaming Sessions

Yifan Yang, Lili Qiu, Yuqing Yang

CoNEXT 2024 – International Conference on emerging Networking EXperiments and Technologies | November 2024

Publication

Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor

Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang

SOSP | November 2024

Publication

Input-Dependent Power Usage in GPUs

Theo Gregersen, Pratyush Patel, Esha Choukse

Sustainable Supercomputing at SC24 | November 2024

Project

Tool

RetroInfer

Scalable long-context LLM decoding that leverages sparsity—by treating the KV cache as a vector storage system. RetroInfer is a novel system that rethinks the KV cache as vector storage within a GPU–CPU co-execution setup to…

GitHub Publication

Tool

AttentionEngine: A Custom Model Optimization Framework

AttentionEngine accelerates transformer attention variants by generating efficient custom kernels, enabling model designers to easily create new variants with our flexible API.

GitHub

Systems & networking

Highlights