Shengyu Liu
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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… | ||
| Mirage: A Multi-Level Superoptimizer for Tensor Programs | OSDI '25 | 2025-07-07 |
Mirage is a multi-level superoptimizer that generates custom CUDA kernels from tensor programs using a uniform representation across kernel, thread-block, and… | ||
| 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… | ||
| DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language... | 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24) | 2024-07-10 |
System disaggregates prefill and decoding onto separate GPUs, assigns independent parallelism and resource plans for each phase, and places instances to cut… | ||
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