<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Surrogate-Model on 兜忆轩 | Cedric's Compiler Notes</title><link>https://douyixuan.github.io/tags/surrogate-model/</link><description>Recent content in Surrogate-Model on 兜忆轩 | Cedric's Compiler Notes</description><image><title>兜忆轩 | Cedric's Compiler Notes</title><url>https://douyixuan.github.io/images/papermod-cover.png</url><link>https://douyixuan.github.io/images/papermod-cover.png</link></image><generator>Hugo -- 0.146.0</generator><language>en-us</language><lastBuildDate>Sun, 27 Sep 2026 12:45:00 +0800</lastBuildDate><atom:link href="https://douyixuan.github.io/tags/surrogate-model/index.xml" rel="self" type="application/rss+xml"/><item><title>012 · 不跑 GPU，也能知道哪个 kernel 更快吗？</title><link>https://douyixuan.github.io/posts/ai-silicon-papers/2026-09-27/</link><pubDate>Sun, 27 Sep 2026 12:45:00 +0800</pubDate><guid>https://douyixuan.github.io/posts/ai-silicon-papers/2026-09-27/</guid><description>GPU Forecasters 让 LLM 预测候选 kernel 相对参考实现的性能分布，再把有限的真实 GPU 测量留给更值得验证的候选；实验说明排序信号有用，也显示校准、分布变化与总成本仍是关键边界。</description></item></channel></rss>