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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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ExVerus: Verus Proof Repair via Counterexample Reasoning

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International Conference on Machine Learning | July 2026

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Rearchitecting the Datacenter Lifecycle for AI

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ISCA | June 2026

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Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale

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ACM Sigmetrics 2026 | June 2026

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PhaseWeave: Phase-Aware Execution on Heterogeneous Chiplet Architectures for Datacenters

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Rollbaccine : Herd Immunity against Storage Rollback Attacks in TEEs

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2026 International Conference on Management of Data | May 2026

微软研究院博客

Microsoft at NSDI 2026: Advances in large-scale networked systems

2026年5月5日 | Sujata Banerjee

Microsoft researchers share advances in building and operating large-scale distributed systems, spanning datacenters, networking, and the growing intersection with AI during NSDI ’26.

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Octopus: Enhancing CXL Memory Pods via Sparse Topology

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USENIX NSDI | May 2026

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ForestColl: Throughput-Optimal Collective Communications on Heterogeneous Network Fabrics

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KrakenGuard: Towards Fine-Grained eBPF Isolation

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DroidSpeak: KV Cache Sharing Across Fine-tuned Model Variants

Yuhan Liu, Yuyang Huang, Jiayi Yao, Shaoting Feng, Zhuohan Gu, Kuntai Du, Hanchen Li, Yihua Cheng, Junchen Jiang, Shan Lu, Madan Musuvathi, Esha Choukse

NSDI’26 | May 2026

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Systems & networking

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