<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Iterative on icyveins7's blog</title><link>https://icyveins7.github.io/tags/iterative/</link><description>Recent content in Iterative on icyveins7's blog</description><generator>Hugo</generator><language>en-us</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Sat, 29 Nov 2025 20:00:00 +0800</lastBuildDate><atom:link href="https://icyveins7.github.io/tags/iterative/index.xml" rel="self" type="application/rss+xml"/><item><title>Iterative algorithms with CUDA</title><link>https://icyveins7.github.io/posts/2025/11/iterative-algorithms-with-cuda/</link><pubDate>Sat, 29 Nov 2025 20:00:00 +0800</pubDate><guid>https://icyveins7.github.io/posts/2025/11/iterative-algorithms-with-cuda/</guid><description>&lt;blockquote&gt;&#10;&lt;p&gt;Because not everything can be made un-iterative..&lt;/p&gt;&#10;&lt;/blockquote&gt;&#10;&lt;p&gt;There&amp;rsquo;s a pretty large class of algorithms that have been developed for CPUs that involve, optimally, an iterative solver.&lt;/p&gt;&#10;&lt;p&gt;Usually, this is defined by some notion of &lt;em&gt;convergence&lt;/em&gt;; some variable is updated, and then at the end of each iteration it is checked to determine whether further iterations are required.&lt;/p&gt;&#10;&lt;p&gt;This is all fine and dandy in CPU-land, but in GPUs this almost always makes the flow awkward.&lt;/p&gt;</description></item></channel></rss>