<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>HBM on Rik Kisnah - Blog</title><link>https://www.rik-kisnah.ai/tags/hbm/</link><description>Recent content in HBM on Rik Kisnah - Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 14 Sep 2021 09:00:00 -0700</lastBuildDate><atom:link href="https://www.rik-kisnah.ai/tags/hbm/feed.xml" rel="self" type="application/rss+xml"/><item><title>Why GPUs for AI</title><link>https://www.rik-kisnah.ai/teach/gpu-ai/why-gpus-for-ai/</link><pubDate>Tue, 14 Sep 2021 09:00:00 -0700</pubDate><guid>https://www.rik-kisnah.ai/teach/gpu-ai/why-gpus-for-ai/</guid><description>A CPU is eight chefs who can cook anything. A GPU is ten thousand kids who can each only stir one pot, but all at the same time and all the same way. AI is mostly stirring pots.</description></item><item><title>The GPU Memory Hierarchy</title><link>https://www.rik-kisnah.ai/teach/gpu-ai/gpu-memory-hierarchy/</link><pubDate>Tue, 12 Nov 2019 09:00:00 -0800</pubDate><guid>https://www.rik-kisnah.ai/teach/gpu-ai/gpu-memory-hierarchy/</guid><description>Registers, shared memory, HBM, then the CPU across the bus. Each level is bigger and slower than the last by a lot. Most slow GPU code is fast GPU code waiting for the wrong level.</description></item></channel></rss>