Deep Learning Systems

基于我们的 ACM Computing Surveys 论文，梳理 GPU 数据中心里的训练、推理、HPO、混合负载以及未来调度器设计。

A technical note on ASTRAEA, a multi-tenant GPU scheduler that measures fairness by long-term GPU-time instead of instantaneous allocation or finish time alone.

一篇关于 ASTRAEA 的技术笔记：它面向多租户 GPU 集群，用长期 GPU-time 衡量公平性，避免只看瞬时分配或任务完成时间。

A technical guide to GPU datacenter scheduling based on our ACM Computing Surveys paper, covering training, inference, HPO, mixed workloads, and future scheduler design.

A technical note on GPU checkpoint/restore for schedulers, using FlowGPU as the main reference and my cudaw prototype as the first version of the codebase.