<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GPU Scheduling | 木叶吟</title><link>https://yezhisheng.me/tag/gpu-scheduling/</link><atom:link href="https://yezhisheng.me/tag/gpu-scheduling/index.xml" rel="self" type="application/rss+xml"/><description>GPU Scheduling</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright> 又拍云提供CDN服务
京ICP备16021535号-1</copyright><lastBuildDate>Thu, 30 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://yezhisheng.me/media/icon_hu585778a5d9441f07b7d64e1beae1be58_320895_512x512_fill_lanczos_center_3.png</url><title>GPU Scheduling</title><link>https://yezhisheng.me/tag/gpu-scheduling/</link></image><item><title>FlowGPU: Transparent and Efficient GPU Checkpointing and Restore</title><link>https://yezhisheng.me/publication/flowgpu/</link><pubDate>Thu, 30 Apr 2026 00:00:00 +0000</pubDate><guid>https://yezhisheng.me/publication/flowgpu/</guid><description/></item><item><title>Characterization of Large Language Model Development in the Datacenter</title><link>https://yezhisheng.me/publication/pjtrace/</link><pubDate>Mon, 01 Apr 2024 00:00:00 +0000</pubDate><guid>https://yezhisheng.me/publication/pjtrace/</guid><description/></item><item><title>UniSched: A Unified Scheduler for Deep Learning Training Jobs with Different User Demands</title><link>https://yezhisheng.me/publication/unisched/</link><pubDate>Sun, 28 Jan 2024 00:00:00 +0000</pubDate><guid>https://yezhisheng.me/publication/unisched/</guid><description/></item><item><title>Deep Learning Workload Scheduling in GPU Datacenters: A Survey</title><link>https://yezhisheng.me/publication/survey/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://yezhisheng.me/publication/survey/</guid><description/></item><item><title>Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters</title><link>https://yezhisheng.me/publication/hydro/</link><pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate><guid>https://yezhisheng.me/publication/hydro/</guid><description/></item><item><title>Tear Up the Bubble Boom: Lessons Learned From a Deep Learning Research and Development Cluster</title><link>https://yezhisheng.me/publication/pcltrace/</link><pubDate>Sun, 23 Oct 2022 00:00:00 +0000</pubDate><guid>https://yezhisheng.me/publication/pcltrace/</guid><description/></item><item><title>ASTRAEA: A Fair Deep Learning Scheduler for Multi-tenant GPU Clusters</title><link>https://yezhisheng.me/publication/astraea/</link><pubDate>Fri, 17 Dec 2021 00:00:00 +0000</pubDate><guid>https://yezhisheng.me/publication/astraea/</guid><description/></item><item><title>Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs</title><link>https://yezhisheng.me/publication/chronus/</link><pubDate>Mon, 01 Nov 2021 00:00:00 +0000</pubDate><guid>https://yezhisheng.me/publication/chronus/</guid><description/></item></channel></rss>