<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Slurm on Vladimir Lapin</title><link>https://vlap.github.io/tags/slurm/</link><description>Recent content in Slurm on Vladimir Lapin</description><image><title>Vladimir Lapin</title><url>https://vlap.github.io/images/decor/vladimir_lapin.jpg</url><link>https://vlap.github.io/images/decor/vladimir_lapin.jpg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 20 Jul 2026 12:00:00 +0200</lastBuildDate><atom:link href="https://vlap.github.io/tags/slurm/index.xml" rel="self" type="application/rss+xml"/><item><title>Eliminating the Conda Bottleneck on HPC: Fast Python &amp; Climate Workflows with uv on Lustre</title><link>https://vlap.github.io/posts/2026-07-20-scaling-python-hpc-uv-lustre/</link><pubDate>Mon, 20 Jul 2026 12:00:00 +0200</pubDate><guid>https://vlap.github.io/posts/2026-07-20-scaling-python-hpc-uv-lustre/</guid><description>We&amp;rsquo;ve all watched a 64-node Slurm job stall for three minutes just importing xarray. Here is why standard Conda environments choke parallel filesystems like Lustre, and how pairing Astral uv with system LMOD modules eliminates job startup lag on MareNostrum 5.</description></item><item><title>Running Decadal Climate Ensembles on Tier-0 HPC: Autosubmit DAGs, Lustre Striping, and Cluster Telemetry</title><link>https://vlap.github.io/posts/senior-dev-hpc-workflows/</link><pubDate>Mon, 04 May 2026 19:00:00 +0200</pubDate><guid>https://vlap.github.io/posts/senior-dev-hpc-workflows/</guid><description>Engineering lessons from managing multi-member Earth system model ensembles on MareNostrum 5: orchestrating DAGs with Autosubmit, tuning Lustre striping for NetCDF outputs, and NUMA-aware MPI rank placement.</description></item></channel></rss>