Slurm Batch Scheduler Best Practices and Advanced Use

This course offers solid, practical insights into Slurm Batch Scheduler best practices, making it valuable for anyone managing or working on an HPC cluster. The instructor covers writing efficient job scripts, optimizing resource requests (CPU, memory, GPU), managing partitions and QoS, and more advanced topics like job arrays, job dependencies, and debugging failed jobs. The explanations are clear and backed by real examples, which made it easy to follow along.
I've been using Slurm to manage batch jobs for my research workload on a university cluster, and this course helped me clean up my job scripts and better understand how to request resources without over-allocating. After watching, I was able to set up job dependencies for a multi-step pipeline that used to require manual monitoring. Overall, a great resource for both beginners and people looking to sharpen their existing Slurm workflow.