Wencong Xiao
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| title | conference | date |
|---|---|---|
| DistRS: Disaggregated Reward Service for RLVR with Batch-Level Constraint | NSDI '26 | 2026-05-04 |
DistRS is a disaggregated reward service that separates reward computation from training, implements a microservice pipeline with per-stage worker pools, and… | ||
| Llumnix: Dynamic Scheduling for Large Language Model Serving | 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24) | 2024-07-10 |
Llumnix implements live migration of per-request KV caches to reschedule running LLM inferences across instances with near-zero downtime, using a distributed… | ||
| Whale: Efficient Giant Model Training over Heterogeneous GPUs | USENIX ATC '22 | 2022-07-11 |
Whale is a distributed training framework that adds two model-annotation primitives, replicate and split, to transform a local DAG into a distributed plan and… | ||
| MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU... | 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22) | 2022-04-04 |
A two-month Alibaba MLaaS trace covers over 6,700 GPUs across ~1,800 nodes with 1.2M tasks, 7.5M instances and shows concrete pain points: 85% gang-scheduled… | ||
| Zico: Efficient GPU Memory Sharing for Concurrent DNN Training | USENIX ATC '21 | 2021-07-14 |
Zico builds a shared GPU memory pool plus a memory manager that uses CUDA events and an in‑flight kernel counter to safely reclaim and limit allocations, and a… | ||
| Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads | USENIX ATC '19 | 2019-07-10 |
Analysis uses a 75‑day trace from Microsoft Philly (shared by 14 production groups) combining scheduler logs, hardware counters and AI‑engine logs to profile… | ||
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