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⏱ 2h 36m📚 26 lessons🎧 Audio version
Interactive Jobs with PBS on High-Performance Computing Systems
Learn to run, manage, and debug real-time interactive tasks on HPC clusters using PBS commands and graphical interfaces.
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About this course
High-performance computing clusters are incredibly powerful, but running complex computations often requires real-time interaction rather than waiting in a static queue. Navigating the PBS scheduler to secure live compute resources can feel daunting if you do not know the correct commands. This text-only course guides you through the process of launching interactive sessions on high-performance computing nodes, giving you direct control over your computing environment.
You will transition from submitting blind batch scripts to actively managing live, interactive environments on dedicated cluster nodes. By understanding how the PBS scheduler allocates resources, you will run complex commands, test software configurations, and debug code in real time without impacting the shared login nodes.
What you'll learn:
- Understand foundational HPC queue concepts and how the PBS scheduler manages cluster resources
- Configure and launch interactive sessions on compute nodes using the qsub command
- Allocate CPU cores, memory, and walltime specifically for real-time interactive workloads
- Enable graphical user interface support to run interactive GUI applications on remote nodes
- Monitor active resource consumption and manage your running interactive sessions
- Apply modern best practices for clean session termination and cluster citizenship
This course begins with essential HPC terminology and the core mechanics of the PBS scheduler. From there, you will read through step-by-step terminal workflows, command syntax breakdowns, and practical scenarios for resource allocation.
This course is designed for researchers, developers, and data scientists who are new to high-performance computing environments. No prior experience with PBS or cluster queue systems is required, though a basic familiarity with the Linux command line is helpful.
Start reading today to take direct control of your high-performance computing tasks.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 2h 36m of practical content
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