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--- skill-tree:k:4:1:b [2020/06/25 20:18] – [Background] kai_h
+++ skill-tree:k:4:1:b [2025/04/16 18:30] (current) – external edit 127.0.0.1
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-# K4.1-B Introduction to job scheduling
+# K4.1 Basic principles of Job Scheduling
-# Background
-This skill provides an overview into 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
+This skill provides an overview of the scheduling of jobs on a supercomputer.
-manager of a cluster system typically deals with
+It covers generic and widely used concepts that serve the purpose to maximize the efficiency of a supercomputer.
-  * 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
+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
+## Learning Outcomes
-# Aim
+* Comprehend the exclusive and shared usage model in HPC.
-To enable practitioners to comprehend and describe the basic architecture and concepts of resource allocation for an HPC system
+* 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.
+* Comprehend the differences between **Batch Systems** and **Time-Sharing Systems**.
+* Explain the concepts and procedures for resource allocation and job execution in an HPC environment.
+* Run interactive jobs and batch jobs.
+* Comprehend and describe the expected behavior of job scripts.
+* Change provided job scripts and embed them into shell scripts to run a variety of parallel applications.
+* Analyze the output generated from a job scheduler and describe the cause of typically generated errors.
+* Comprehend accounting principles (billing for the jobs).
+* Comprehend the set of terms for performance criteria like:
+    * Resource Utilization.
+    * Throughput.
+    * Waiting Time.
+    * Execution Time.
+    * Turnaround Time.
+* Comprehend scheduling strategies that increase productivity.
+* Comprehend that typical goals of job scheduling are:
+    * Maximization of resource utilization.
+    * Maximization of throughput.
+    * Minimization of waiting time.
+    * Minimization of turnaround time.
+* Comprehend that there is a variety of scheduling algorithms from rather simple to more complex like:
+    * First-Come-First-Served (FCFS).
+    * Shortest-Job-First (SJF).
+    * Priority-based.
+    * Fair-Share.
+    * Backfilling.
+* Apply advanced scheduling principles (e.g. backfilling) to achieve objectives like minimizing the averaged elapsed program runtimes, and maximizing the utilization of the available HPC resources.
+* Discuss sophisticated scheduling principles (e.g. fair share) to achieve objectives like treating the users fair, and maximizing the utilization of the available HPC resources.
-# Outcomes
-  * 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
-# Subskills