Skip to content
AI NEWS JOURNAL
ONE EVENT. MANY PERSPECTIVES.

研究提出HyDRA调度器以保障HPC集群中突发性负载下的用户公平性与队列等待上限

一篇于2026年10月26日发布在arXiv(编号2610.32027v1)的论文提出新型混合调度器HyDRA,旨在解决高性能计算(HPC)集群中因大模型工作流和自动化流水线导致的作业提交突发性问题,通过 deadline 机制与排名感知策略,在保障用户间公平性的同时为每个作业设定可预期的队列等待上限。

1 independent sources · 1 reportsOldest first ↕
Newest first

Bounding Queue Waits for Fair Scheduling of Bursty HPC Workloads via Hierarchical Algorithms

arXiv:2610.32027v1 Announce Type: new Abstract: HPC clusters are shared among many projects, each holding an allocation of node-hours, and ensuring fairness is becoming harder. Foundation models workflows and automated pipelines have made job submissions bursty and concentrated among a few heavy users, so occasional users absorb queueing delays created by frequent ones, with no indication of how long their jobs will wait. Existing schedulers either forget past usage, protect only the job at the head of the queue, or assume that running jobs can be preempted. We propose HyDRA, a Hybrid Deadline and Ranking-Aware scheduler that enforces fairness among users while bounding the queue wait of every job. HyDRA assigns each job a deadline on arrival based on its size, the priorities of its projec

Bounding Queue Waits for Fair Scheduling of Bursty HPC Workloads via Hierarchical Algorithms
Timeline and related coverage