Yinghao Yu
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| title | conference | date |
|---|---|---|
| Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training | NSDI '26 | 2026-05-04 |
PIPEMORPH is a system that adapts pipeline schedules and offloads communication to host memory with CPU-side RDMA delegation to eliminate head-of-line blocking… | ||
| GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale | USENIX ATC '25 | 2025-07-07 |
Characterization on a 10,000+ GPU multi-tenant cluster finds transient fail-slows from CPU contention, GPU thermal throttling, and network congestion that last… | ||
| GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale | NSDI '25 | 2025-04-28 |
Prism disaggregates CPU and GPU pools via graph-level partitioning and RDMA so embedding lookups run on CPU nodes and dense nets on GPU nodes, using a fusgraph… | ||
| Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation... | USENIX ATC '23 | 2023-07-10 |
Paper defines a statistical fragmentation metric that predicts expected unallocatable GPU capacity given task distributions, implements a scheduler called… | ||
| 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… | ||
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