Yongji Wu
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| title | conference | date |
|---|---|---|
| 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… | ||
| Libra: Flexible Request Partitioning and Scheduling for Serving Unbalanced and Dynamic... | NSDI '26 | 2026-05-04 |
Libra implements a micro-request flexible partitioning that splits requests at any token boundary, a global scheduler that binary-searches a split point (≤6… | ||
| RLBoost: Harvesting Preemptible Cloud Resources for Cost-Efficient Reinforcement Learning | NSDI '26 | 2026-05-04 |
RLBoost harvests preemptible GPUs (cloud spot instances and spare cluster capacity) to run rollouts while keeping training on reserved full‑mesh GPUs, claiming… | ||
| Phantora: Maximizing Code Reuse in Simulation-based Machine Learning... | NSDI '26 | 2026-05-04 |
Phantora runs unmodified ML frameworks inside containerized rank emulators and intercepts CUDA/NCCL calls to forward computation and communication events to a… | ||
| Remote Procedure Call as a Managed System Service | NSDI 2023 | 2023-04-17 |
mRPC implements RPC as a managed system service rather than a linked library, with a shim using shared-memory queues, a schema generator that produces… | ||
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