<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Using Multiple GPUs does not improve simulation time]]></title><description><![CDATA[<p dir="auto">Hello!</p>
<p dir="auto">I'm using a setup with two GPUs (RTX 2080 Super) and attempting to analyze if it's worth it to purchase another with two GPUs, or just go for a single. Currently what I'm seeing in the two log files is this:</p>
<p dir="auto"><strong>Single GPU</strong><br />
The following hardware configuration has been chosen for the simulation:<br />
Device (0): GeForce RTX 2080 SUPER using  824.146 MB<br />
Elapsed time for 'Preparing for time update' was 00:00:17 wall clock time.<br />
Starting solver CUDA (hardware accelerated).<br />
Time Update<br />
Simulation performed 66994 iterations.</p>
<p dir="auto"><strong>Dual GPU</strong><br />
Device (0): GeForce RTX 2080 SUPER using  414.731 MB<br />
Device (1): GeForce RTX 2080 SUPER using  414.731 MB<br />
Elapsed time for 'Preparing for time update' was 00:00:17 wall clock time.<br />
Starting solver CUDA (hardware accelerated).<br />
Time Update<br />
Simulation performed 66994 iterations.</p>
<p dir="auto">The resulting completion times have minimal differences (27 m 14 s vs. 22 m 23 s) and is likely due to the reduction in memory usage on each GPU. Am I missing something or is there negligible difference between 1 and 2 GPUs?</p>
<p dir="auto">Thanks</p>
<p dir="auto">cmcc</p>
]]></description><link>https://forum.zmt.swiss/topic/203/using-multiple-gpus-does-not-improve-simulation-time</link><generator>RSS for Node</generator><lastBuildDate>Sun, 12 Apr 2026 19:28:15 GMT</lastBuildDate><atom:link href="https://forum.zmt.swiss/topic/203.rss" rel="self" type="application/rss+xml"/><pubDate>Fri, 07 Feb 2020 16:56:26 GMT</pubDate><ttl>60</ttl></channel></rss>