<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Simd on Jasper</title><link>https://jasper-aa64.github.io/zh/tags/simd/</link><description>Recent content in Simd on Jasper</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Thu, 15 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jasper-aa64.github.io/zh/tags/simd/index.xml" rel="self" type="application/rss+xml"/><item><title>交易系统笔记 #15：SIMD 向量化与 intrinsics</title><link>https://jasper-aa64.github.io/zh/posts/simd-vectorization-intrinsics/</link><pubDate>Thu, 15 Oct 2026 00:00:00 +0000</pubDate><guid>https://jasper-aa64.github.io/zh/posts/simd-vectorization-intrinsics/</guid><description>一条指令算一排数，前提是编译器知道能用多宽的寄存器、确定没有重叠、允许重排；这三条做不到时，用 intrinsics 自己写，代价是对齐、指令集检测和结果的最后几位。</description></item><item><title>交易系统笔记 #9：循环优化</title><link>https://jasper-aa64.github.io/zh/posts/loop-optimization/</link><pubDate>Mon, 12 Oct 2026 00:00:00 +0000</pubDate><guid>https://jasper-aa64.github.io/zh/posts/loop-optimization/</guid><description>点积循环 -O3 报告“已向量化”，四个加法却还是一个等一个：浮点加法不满足结合律，编译器不敢换顺序。循环优化真正要你管的，是这类挡住编译器的地方，和它不会替你做的改动。</description></item><item><title>低时延交易 —— 内存延迟与带宽</title><link>https://jasper-aa64.github.io/zh/posts/low-latency-memory-latency-bandwidth/</link><pubDate>Fri, 09 Oct 2026 00:00:00 +0000</pubDate><guid>https://jasper-aa64.github.io/zh/posts/low-latency-memory-latency-bandwidth/</guid><description>一次内存访问约 100 ns、运回 64 B，一次一个只有 0.64 GB/s，可一个核顺序读能拿到 15–60 GB/s，差出来的倍数就是同时在路上的请求数。下一次读的地址要不要等这一次读回来，决定了代码受延迟还是受带宽限制。</description></item></channel></rss>