<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AVX-512 on PlumePHP</title><link>https://plumephp.com/tags/avx-512/</link><description>Recent content in AVX-512 on PlumePHP</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 30 Sep 2026 09:30:00 +0800</lastBuildDate><atom:link href="https://plumephp.com/tags/avx-512/index.xml" rel="self" type="application/rss+xml"/><item><title>SIMD 向量化：从 AVX-512 到编译器自动向量化</title><link>https://plumephp.com/hpc-simd-vectorization/</link><pubDate>Wed, 30 Sep 2026 09:30:00 +0800</pubDate><guid>https://plumephp.com/hpc-simd-vectorization/</guid><description>&lt;h2 id="引言"&gt;引言&lt;/h2&gt;
&lt;p&gt;多核给不了的那部分性能，要靠&lt;strong&gt;单核向量化&lt;/strong&gt;来补。现代 CPU 一次能同时算 4/8/16 个浮点数，但大多数程序只用上了 1/16 的能力——&lt;strong&gt;SIMD（Single Instruction, Multiple Data）&lt;/strong&gt; 就是把「一条指令处理多个数据」做满的学问。&lt;/p&gt;</description></item></channel></rss>