Preserving GPU Profiling Accuracy under Concurrent GPU-Coding Agent Workloads
Ying-Yi Hao, Xing-Da Wei, Rong Chen et al.
· 0 citations
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Efficient K-generalizable Learned Search
This paper shows that learned search can support arbitrary K with the preprocessing cost of a single top-1 model, and reduces total serving and preprocessing computation by up to 28%.
Yifan Peng, Jia-Fei Fan, Xing-Da Wei et al.
· 0 citations
Jul 2026
SMetric: Rethink LLM Scheduling for Serving Agents with Balanced Session-centric Scheduling
SMetric addresses session-centric scheduling with differential scheduling based on two indicators derived from the request itself, the session turn and the local KV\$ hit: it schedules first-turn requests for load balance, and sticks follow-ups to the instance with the highest local hit for high KV\$ reuse.
Jiahao Wang, Kai-Zhan Lin, Kaixin Zhang et al.
· arXiv.org · 1 citation