<?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>Amx on Sandeep Kumar</title><link>https://sandeep007734.github.io/tags/amx/</link><description>Recent content in Amx on Sandeep Kumar</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 10 Jul 2026 00:00:00 +0530</lastBuildDate><atom:link href="https://sandeep007734.github.io/tags/amx/feed.xml" rel="self" type="application/rss+xml"/><item><title>Everything on Precision: Numeric Formats in Modern ML and HPC</title><link>https://sandeep007734.github.io/posts/everything_on_precision/</link><pubDate>Tue, 03 Mar 2026 00:00:00 +0530</pubDate><guid>https://sandeep007734.github.io/posts/everything_on_precision/</guid><description>A walkthrough of numeric formats that matter today — FP32, TF32, FP16, BF16, FP8, INT8, INT4 — how they behave, when to use each, and where the pitfalls hide.</description></item><item><title>The VNNI layout, and why your AMX kernel is silently wrong</title><link>https://sandeep007734.github.io/posts/vnni-tutorial/</link><pubDate>Sun, 08 Mar 2026 00:00:00 +0530</pubDate><guid>https://sandeep007734.github.io/posts/vnni-tutorial/</guid><description>Notes from getting Intel AMX to do a matrix multiply: the VNNI memory layout, why skipping it gives silently wrong answers, and LIBXSMM&amp;#39;s dispatch model.</description></item></channel></rss>