2027
SwarmPilot: Agentic Scheduling for Agentic Systems
Yeqi Huang*, Yanwei Ye*, Guomin Chen, Wenhao Su, Bin Gong, Jialian Li, Zhan Lu, Yangshen Deng, Xuan Sun, Le Xu, Luo Mai (* equal contribution)
EuroSys '27 Spring 2027 Accepted
SwarmPilot introduces agentic scheduling for low-latency agentic applications. It combines scheduling-specific predictors over prompt, device, runtime, and target-model features with a scheduler–agent framework, reducing tail latency by up to 61.5% and sustaining up to 2× the throughput of baseline schedulers under the same SLO in the reported evaluation.
SwarmPilot: Agentic Scheduling for Agentic Systems
Yeqi Huang*, Yanwei Ye*, Guomin Chen, Wenhao Su, Bin Gong, Jialian Li, Zhan Lu, Yangshen Deng, Xuan Sun, Le Xu, Luo Mai (* equal contribution)
EuroSys '27 Spring 2027 Accepted
SwarmPilot introduces agentic scheduling for low-latency agentic applications. It combines scheduling-specific predictors over prompt, device, runtime, and target-model features with a scheduler–agent framework, reducing tail latency by up to 61.5% and sustaining up to 2× the throughput of baseline schedulers under the same SLO in the reported evaluation.
2026
Wavel: A Fast and Efficient Compilation System for Wafer-Scale Accelerators
Yeqi Huang, Congjie He*, Haocheng Xiao*, Yanwei Ye*, Yi-Chieh Wang*, Boyao Song*, Yangshen Deng*, Ziming Miao*, Lingxiao Ma*, Fan Yang*, Luo Mai* (* equal contribution)
SOSP 2026 2026 Accepted
Wavel presents a compilation system for wafer-scale accelerators that makes executable schedules explicit, uses locality-preserving CUT and TUNE primitives, and evaluates physical cost during search. The reported results show higher throughput than expert-optimized WaferLLM and substantial speedups over a Full-Chip baseline on WSE-3 workloads.
Wavel: A Fast and Efficient Compilation System for Wafer-Scale Accelerators
Yeqi Huang, Congjie He*, Haocheng Xiao*, Yanwei Ye*, Yi-Chieh Wang*, Boyao Song*, Yangshen Deng*, Ziming Miao*, Lingxiao Ma*, Fan Yang*, Luo Mai* (* equal contribution)
SOSP 2026 2026 Accepted
Wavel presents a compilation system for wafer-scale accelerators that makes executable schedules explicit, uses locality-preserving CUT and TUNE primitives, and evaluates physical cost during search. The reported results show higher throughput than expert-optimized WaferLLM and substantial speedups over a Full-Chip baseline on WSE-3 workloads.