This skill provides an overview of the scheduling of jobs on a supercomputer. It covers generic and widely used concepts that serve the purpose to maximize the efficiency of a supercomputer.

Batch jobs submitted to a job queue define the workloads in batch systems. A workload manager of a cluster system typically deals with:

• Job Control to provide a user interface for submitting jobs to job queues, monitoring their state during processing (e.g. to check their estimated starting time), and intervening in their execution (e.g. to abort them manually)
• Scheduling and Resource Management to select a waiting job for execution and to allocate nodes to the job meeting all its other demands for computing resources (memory, special processing elements like GPUs, etc.)
• Accounting to record historical data about how many computing resources (e.g. computing time) have been consumed by a job

To enable practitioners to comprehend and describe the basic architecture and concepts of resource allocation for an HPC system.

• Comprehend the exclusive and shared usage model in HPC.
• Differentiate batch and interactive job submission.
• Comprehend the generic concepts and architecture of resource manager, scheduler, job and job script.
• Explain environment variables as a means to communicate.
• Comprehend accounting principles.
• Explain the generic steps to run and monitor a single job.
• Comprehend scheduling principles (first come first served, shortest job first, backfilling) to achieve objectives like minimizing the averaged elapsed program runtimes, and maximizing the utilization of the available HPC resources.