activity
20242026
collaborators

6 papers

cs.PF2026

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference

Wangsong Yin, Daliang Xu, Mengwei Xu +2

On-device running Large Language Models (LLMs) is nowadays a critical enabler towards preserving user privacy. We observe that the attention operator falls back from the special-pu…

cs.DC2025

Elastic On-Device LLM Service

Wangsong Yin, Rongjie Yi, Daliang Xu +3

On-device Large Language Models (LLMs) are transforming mobile AI, catalyzing applications like UI automation without privacy concerns. Nowadays the common practice is to deploy a…

cs.SE2025

SCOPE: Performance Testing for Serverless Computing

Jinfeng Wen, Zhenpeng Chen, Jianshu Zhao +5

Serverless computing is a popular cloud computing paradigm that has found widespread adoption across various online workloads. It allows software engineers to develop cloud applica…

cs.SE2025

Unveiling Overlooked Performance Variance in Serverless Computing

Jinfeng Wen, Zhenpeng Chen, Federica Sarro +1

Serverless computing is an emerging cloud computing paradigm for developing applications at the function level, known as serverless functions. Due to the highly dynamic execution e…

cs.AI2024

Fast On-device LLM Inference with NPUs

Daliang Xu, Hao Zhang, Liming Yang +4

On-device inference for Large Language Models (LLMs), driven by increasing privacy concerns and advancements of mobile-sized models, has gained significant interest. However, even…

cs.SE2024

Research on WebAssembly Runtimes: A Survey

Yixuan Zhang, Mugeng Liu, Haoyu Wang +3

WebAssembly (abbreviated as Wasm) was initially introduced for the Web but quickly extended its reach into various domains beyond the Web. To create Wasm applications, developers c…