llm-serving

Weekly Paper Notes — one of the top picks from the 2026-08-22 CS paper digest. Area: Operating Systems / Serving Systems. Authors: Chaokun Chang, Yukun Zhou, Kaihua Fu, Dakai An, Tianyu Feng, Hanfeng Lu, Sheng Yao, Pu Guo (HKUST), Yinghao Yu (Alibaba Group), Yizhou Shan (ByteDance), Bo Li, Binhang Yuan, Wei Wang (HKUST) arXiv: 2608.15127 · PDF TL;DR Every serving system in production today — vLLM, SGLang, TensorRT-LLM — was designed around a single assumption: the unit of work is a token-generation request, and the GPU is where the time goes....

Weekly Paper Notes — one of the top picks from the 2026-08-08 CS paper digest. Area: Distributed Computing / Computer Architecture. Authors: Jirong Yang, Peizhe Liu, Jovan Stojkovic (UT Austin); Chaojie Zhang (Microsoft Azure) arXiv: 2608.04458 · PDF TL;DR Datacenter servers have been optimized for two workload shapes: CPU-centric services (web serving, key-value stores, analytics) and monolithic LLM inference, where a GPU does dense tensor math and the host merely feeds it....