当前位置: 代码迷 >> 综合 >> 【ML Job Scheduling】相关工作
  详细解决方案

【ML Job Scheduling】相关工作

热度:22   发布时间:2023-09-18 20:14:16.0

以上出自:Deep learning-based job placement in distributed machine learning clusters

Dorm [33]是用于调度ML作业的利用率公平性优化器。

Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach

OASiS [34]是用于ML作业的在线调度算法。

Online Job Scheduling in Distributed Machine Learning Clusters

SLAQ [35]和Optimus [18]为每个ML作业建立一个性能模型,并动态调整资源分配。

SLAQ: Quality-Driven Scheduling for Distributed Machine Learning

Optimus: an efficient dynamic resource scheduler for deep learning clusters

DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters

 

  相关解决方案