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--- skill-tree:use:2:b [2020/06/25 20:20] – [Outcomes] kai_h
+++ skill-tree:use:2:b [2025/03/10 19:24] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
-# USE2-B Running of Parallel Programs
+# USE2 Overview: Running of Parallel Programs
-# Background
-Parallel computers are operated differently than a normal PC, all users must share the system. Therefore, various operative procedures are in place. Users must understand these concepts and procedures to be able to use the available resources of a system to run a parallel application. Moreover, individual solutions can often be found in a specific system.
-# Aim
+Parallel computers are operated differently than a normal PC, all users must share the system.
-  * To enable practitioners to comprehend the concepts and procedures for running parallel applications in HPC environments
+Therefore, various operative procedures are in place.
-  * To use a workload manager like SLURM or TORQUE to allocate HPC resources (e.g. CPUs) and to submit a batch job
+Users must understand these concepts and procedures to be able to use the available resources of a system to run a parallel application.
-  * To use the system to run and monitor the execution of parallel applications on the HPC system
+Moreover, individual solutions can often be found in a specific system.
+## Learning Outcomes
+  * Run parallel programs in an HPC environment.
+  * Use the command-line interface.
+  * Write robust job scripts, e.g. to simplify job submissions by the help of automated job chaining.
+  * Select the appropriate software environment.
+  * Use a workload manager like SLURM or TORQUE to allocate HPC resources (e.g. CPUs) and to submit a batch job.
+  * Consider cost aspects.
+  * Measure system performance as a basis for benchmarking a parallel program.
+  * Benchmark a parallel program.
+  * Tune a parallel program from the outside via runtime options.
+  * Apply the workflow for tuning.
+  * Use the command-line interface.
+  * Write robust job scripts, e.g. to simplify job submissions by the help of automated job chaining.
+  * Select the appropriate software environment.
+  * Use a workload manager to allocate HPC resources for running a parallel program interactively.
+  * Recognize cost aspects.
+  * Measure system performance as a basis for benchmarking a parallel program.
+  * Benchmark a parallel program.
+  * Tune a parallel program from the outside via runtime options.
+  * Apply the workflow for tuning.
-# Outcomes
+## Subskills
-  *  run parallel programs in an HPC environment
+  * [[skill-tree:k:4:1:b]]
-  *  use the command line interface
+  * [[skill-tree:use:2:i]]
-  *  write robust job scripts, e.g. to simplify job submissions by the help of automated job chaining
-  *  select the appropriate software environment
-  *  use a workload manager like SLURM or TORQUE to allocate HPC resources (e.g. CPUs) and to submit a batch job
-  *  consider cost aspects
-  *  measure system performance as a basis for benchmarking a parallel program
-  *  benchmark a parallel program
-  *  tune a parallel program from the outside via runtime options
-  *  apply the workflow for tuning
-# Subskills
-  * [[skill-tree:use:1:4:b]]
   * [[skill-tree:use:1:1:b]]
   * [[skill-tree:use:1:3:b]]
+  * [[skill-tree:use:1:4:b]]
   * [[skill-tree:pe:1:b]]
   * [[skill-tree:pe:2:b]]
   * [[skill-tree:pe:3:b]]
   * [[skill-tree:k:4:b]]