Running Jobs¶
Running jobs efficiently is at the heart of a successful experience with our High-Performance Computing (HPC) cluster. This section outlines the essential aspects of executing various types of jobs, understanding the queuing system, and troubleshooting.
Learn how our job scheduler manages the distribution of computational tasks.
Run jobs interactively or submit batch scripts for later execution.
Learn the advanced usage and explanation of squeue
, scancel
, and sinfo
for monitoring jobs.
SLURM job submissions with job-assist command.
An introduction and use cases for Slurm job arrays for launching a large series of jobs.
Running jobs smoothly is key to productive research and development. Explore these topics to understand and make the most of our robust computing infrastructure. If you need assistance, our support team is available at rchelp@northeastern.edu or consult our Frequently Asked Questions (FAQs).
Happy computing!