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Hao Lin

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RLinf: Flexible and Efficient Large-Scale Reinforcement Learning...20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)2026-07-13
RLinf is a distributed RL training system that implements macro-to-micro flow transformation to break high-level workflows into optimized execution flows; it…
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DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)2026-07-13
DynaRL claims a system that reclaims idle GPUs and reallocates them online using a dynamic hypergraph + a unified interrupt and migrate APIs, with three…
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Dissecting and Streamlining the Interactive Loop of Mobile Cloud GamingNSDI '252025-04-28
A 20,000‑record, 2,000‑fps camera measurement across eight commercial platforms reveals mobile cloud gaming interactive latency of 112–403 ms and shows network…
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