Bingyang Wu
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| title | conference | date |
|---|---|---|
| FastServe: Iteration-Level Preemptive Scheduling for Large Language Model Inference | NSDI '26 | 2026-05-04 |
FastServe implements iteration-level preemption for autoregressive LLMs, letting the system preempt after each token instead of running to completion. It… | ||
| Optimizing RLHF Training for Large Language Models with Stage Fusion | NSDI '25 | 2025-04-28 |
RLHFuse claims up to 3.7× end-to-end RLHF training throughput by splitting tasks into sample-level subtasks and microbatch subtasks. It overlaps generation and… | ||
| dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving | 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24) | 2024-07-10 |
dLoRA is a LoRA-serving system that dynamically merges and unmerges adapters and migrates both requests and adapters to reduce latency and boost GPU… | ||
| Transparent GPU Sharing in Container Clouds for Deep Learning Workloads | NSDI 2023 | 2023-04-17 |
Claims a kernel‑intercept OS layer called TGS that enables transparent GPU sharing under Docker/Kubernetes with ~3000 LOC, adaptive rate control and… | ||
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