<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GPU Computing on Rachid Youven Zeghlache</title><link>https://youvenz.github.io/tags/gpu-computing/</link><description>Recent content in GPU Computing on Rachid Youven Zeghlache</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 05 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://youvenz.github.io/tags/gpu-computing/index.xml" rel="self" type="application/rss+xml"/><item><title>SLURM Job Scheduling: Submit &amp; Monitor HPC Jobs</title><link>https://youvenz.github.io/blog/2026-03-05-slurm-job-scheduling-submit-monitor-hpc-jobs/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://youvenz.github.io/blog/2026-03-05-slurm-job-scheduling-submit-monitor-hpc-jobs/</guid><description>&lt;h1 id="submit--monitor-hpc-jobs-using-slurm--without-losing-your-data-to-path-errors"&gt;Submit &amp;amp; Monitor HPC Jobs Using SLURM — Without Losing Your Data to Path Errors&lt;/h1&gt;
&lt;p&gt;You&amp;rsquo;ve just logged into your university&amp;rsquo;s HPC cluster for the first time. You write what you think is a perfect job script, submit it with &lt;code&gt;sbatch&lt;/code&gt;, and 10 minutes later you find a cryptic error in the log file: &amp;ldquo;file does not exist.&amp;rdquo; Your absolute path was wrong. Or you forgot to specify GPU resources and your job waited in the queue for 3 hours doing nothing.&lt;/p&gt;</description></item><item><title>SSH &amp; SLURM: Transfer Code to HPC Clusters</title><link>https://youvenz.github.io/blog/2026-03-05-ssh-slurm-transfer-code-to-hpc-clusters/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://youvenz.github.io/blog/2026-03-05-ssh-slurm-transfer-code-to-hpc-clusters/</guid><description>&lt;h2 id="transfer-code-to-hpc-clusters-using-ssh-singularityapptainer--slurm"&gt;Transfer Code to HPC Clusters Using SSH, Singularity/Apptainer &amp;amp; SLURM&lt;/h2&gt;
&lt;p&gt;You&amp;rsquo;ve written working code on your laptop. Now you need to run it on your institution&amp;rsquo;s HPC cluster with 100+ GPUs—but you&amp;rsquo;re staring at a terminal with no idea how to get your files there, containerize your environment, or submit a job without breaking it.&lt;/p&gt;
&lt;p&gt;This is the moment most researchers feel lost.&lt;/p&gt;
&lt;h2 id="the-hpc-stack-in-90-seconds"&gt;The HPC Stack in 90 Seconds&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;High-performance computing (HPC) clusters&lt;/strong&gt; are shared servers with massive CPU and GPU resources. To use them safely and reproducibly, you need three tools working together:&lt;/p&gt;</description></item></channel></rss>