<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>HPC Clusters on Rachid Youven Zeghlache</title><link>https://youvenz.github.io/tags/hpc-clusters/</link><description>Recent content in HPC Clusters 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/hpc-clusters/index.xml" rel="self" type="application/rss+xml"/><item><title>Singularity/Apptainer: Local to Cluster Workflow</title><link>https://youvenz.github.io/blog/2026-03-05-singularityapptainer-local-to-cluster-workflow/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://youvenz.github.io/blog/2026-03-05-singularityapptainer-local-to-cluster-workflow/</guid><description>&lt;h1 id="pull-build-and-deploy-singularity-containers-from-local-machine-to-hpc-clusters"&gt;Pull, Build, and Deploy Singularity Containers from Local Machine to HPC Clusters&lt;/h1&gt;
&lt;p&gt;You&amp;rsquo;ve got terabytes of data on your HPC cluster and a Python script that works on your laptop. But moving it to the cluster means wrestling with dependency conflicts, mysterious &lt;code&gt;ModuleNotFoundError&lt;/code&gt; messages, and copying massive datasets you don&amp;rsquo;t want to duplicate. You need a way to package your entire development environment—dependencies, libraries, Python versions—and run it anywhere without breaking it. That&amp;rsquo;s where &lt;strong&gt;Singularity/Apptainer&lt;/strong&gt; comes in.&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>