<?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>Roofline模型 on Ringi's Log</title><link>https://lilinji.github.io/tags/roofline%E6%A8%A1%E5%9E%8B/</link><description>Recent content in Roofline模型 on Ringi's Log</description><generator>Hugo -- 0.152.2</generator><language>zh-cn</language><lastBuildDate>Thu, 03 Sep 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://lilinji.github.io/tags/roofline%E6%A8%A1%E5%9E%8B/index.xml" rel="self" type="application/rss+xml"/><item><title>第10讲：AI Infra 性能工程方法论与三账本——FLOPs、显存与通信</title><link>https://lilinji.github.io/2026/09/%E7%AC%AC10%E8%AE%B2-ai-infra-%E6%80%A7%E8%83%BD%E5%B7%A5%E7%A8%8B%E6%96%B9%E6%B3%95%E8%AE%BA%E4%B8%8E%E4%B8%89%E8%B4%A6%E6%9C%ACflops-%E6%98%BE%E5%AD%98%E4%B8%8E%E9%80%9A%E4%BF%A1/</link><pubDate>Thu, 03 Sep 2026 00:00:00 +0800</pubDate><guid>https://lilinji.github.io/2026/09/%E7%AC%AC10%E8%AE%B2-ai-infra-%E6%80%A7%E8%83%BD%E5%B7%A5%E7%A8%8B%E6%96%B9%E6%B3%95%E8%AE%BA%E4%B8%8E%E4%B8%89%E8%B4%A6%E6%9C%ACflops-%E6%98%BE%E5%AD%98%E4%B8%8E%E9%80%9A%E4%BF%A1/</guid><description>建立大厂 AI Infra 性能分析第一性原理：以生活直觉与极简小算盘拆解 MFU/HFU/TFLOPS 真实算力指标、2P/6P/8P 浮点计算量账本、静态与动态显存四账本、跨卡通信量账本与 Roofline 算术强度模型，手把手推导 LLaMA-2/3 7B/70B 训练与推理集群资源规划实战。</description></item><item><title>第12讲：GPU-Util 100% 算力却只有 15%？——SM 执行、Warp 调度、Tensor Core 与 Roofline 模型的第一性原理</title><link>https://lilinji.github.io/2026/09/%E7%AC%AC12%E8%AE%B2gpu-util-100-%E7%AE%97%E5%8A%9B%E5%8D%B4%E5%8F%AA%E6%9C%89-15sm-%E6%89%A7%E8%A1%8Cwarp-%E8%B0%83%E5%BA%A6tensor-core-%E4%B8%8E-roofline-%E6%A8%A1%E5%9E%8B%E7%9A%84%E7%AC%AC%E4%B8%80%E6%80%A7%E5%8E%9F%E7%90%86/</link><pubDate>Thu, 03 Sep 2026 00:00:00 +0800</pubDate><guid>https://lilinji.github.io/2026/09/%E7%AC%AC12%E8%AE%B2gpu-util-100-%E7%AE%97%E5%8A%9B%E5%8D%B4%E5%8F%AA%E6%9C%89-15sm-%E6%89%A7%E8%A1%8Cwarp-%E8%B0%83%E5%BA%A6tensor-core-%E4%B8%8E-roofline-%E6%A8%A1%E5%9E%8B%E7%9A%84%E7%AC%AC%E4%B8%80%E6%80%A7%E5%8E%9F%E7%90%86/</guid><description>深入剖析 GPU 硬件执行与存储层次：从 SM 微架构、Warp 调度、Tensor Core MMA 原语到 Register/Shared Memory/L2/HBM 存储金字塔，结合 Arithmetic Intensity 与 Roofline 模型彻底破解 GPU 算力利用率指标陷阱。</description></item></channel></rss>