<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fault Tolerance | Zhonghao Chen</title><link>https://diogeneschen.github.io/tags/fault-tolerance/</link><atom:link href="https://diogeneschen.github.io/tags/fault-tolerance/index.xml" rel="self" type="application/rss+xml"/><description>Fault Tolerance</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://diogeneschen.github.io/media/icon_hu18301096222111465208.png</url><title>Fault Tolerance</title><link>https://diogeneschen.github.io/tags/fault-tolerance/</link></image><item><title>SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs</title><link>https://diogeneschen.github.io/publication/spare-icml-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://diogeneschen.github.io/publication/spare-icml-2026/</guid><description>&lt;p>SPARe studies fault-tolerant LLM pretraining at extreme scale, combining stacked parallelism with adaptive reordering to improve resilience and efficiency for 100k+ GPU systems.&lt;/p></description></item></channel></rss>