<?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>Computer-Architecture on Sanketh's Blog</title><link>https://sankethbk.github.io/blog/tags/computer-architecture/</link><description>Recent content in Computer-Architecture on Sanketh's Blog</description><generator>Hugo -- 0.166.0</generator><language>en-us</language><lastBuildDate>Sat, 29 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://sankethbk.github.io/blog/tags/computer-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Anatomy of a GPU: Hardware Components (NVIDIA)</title><link>https://sankethbk.github.io/blog/posts/gpu/2026-08-29-anatomy-of-a-gpu/</link><pubDate>Sat, 29 Aug 2026 00:00:00 +0000</pubDate><guid>https://sankethbk.github.io/blog/posts/gpu/2026-08-29-anatomy-of-a-gpu/</guid><description>&lt;h1 id="anatomy-of-a-gpu-hardware-components"&gt;Anatomy of a GPU: Hardware Components&lt;/h1&gt;
&lt;p&gt;The &lt;a href="https://sankethbk.github.io/blog/gpu/2026-08-29-cpu-vs-gpu"&gt;previous note&lt;/a&gt; covered &lt;em&gt;why&lt;/em&gt; GPUs look the way they do — throughput over latency, thousands of simple cores instead of a few smart ones. This note zooms into the actual silicon: what physically sits on a GPU die, what each piece is called, and what job it does. The goal is to have concrete hardware nouns (SM, warp scheduler, register file, L2, &amp;hellip;) in hand before those same nouns start showing up as CUDA concepts (&lt;code&gt;threadIdx&lt;/code&gt;, &lt;code&gt;__shared__&lt;/code&gt;, occupancy, &amp;hellip;).&lt;/p&gt;</description></item></channel></rss>