Differences

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--- skill-tree:use:2:b [2022/10/21 09:19] – [Outcomes] kunkel
+++ skill-tree:use:2:b [2025/04/16 18:30] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
-# USE2-B Running of Parallel Programs
+# USE2 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.
@@ Line 6: / Line 6: @@
 Moreover, individual solutions can often be found in a specific system.
-# Aim
+## Learning Outcomes
-  * To enable practitioners to comprehend the concepts and procedures for running parallel applications in HPC environments.
-  * To use a workload manager like SLURM or TORQUE to allocate HPC resources (e.g. CPUs) and to submit a batch job.
+* Use a workload manager like SLURM or TORQUE to allocate HPC resources (e.g. CPUs) and to submit a batch job.
-  * To use the system to run and monitor the execution of parallel applications on the HPC system.
+* Write robust job scripts, e.g. to simplify job submissions by the help of automated job chaining.
+## Subskills
-# Outcomes
+* [[skill-tree:use:2:1:b]]
-  * Run parallel programs in an HPC environment.
+* [[skill-tree:use:1:2:b]]
-  * 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.
-# Subskills
-  * [[skill-tree:k:4:1:b]]
-  * [[skill-tree:use:2:i]]
-  * [[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]]