HPC environments are different from local systems and cloud environments. Practitioners typically face initial challenges to utilize such a system efficiently. Moreover, often, data centers deploy a specific solution to set up and execute parallel applications. That means users must be trained in a particular solution to utilize a supercomputer efficiently. Various user roles are covered as part of this subtree: practitioners that aim to deploy existing parallel applications as well as testers that just run already deployed applications, and also developers that create new applications.

• To use the cluster operating system efficiently in order to develop, build, run, and monitor parallel applications
• To automatize repetitive tasks on an HPC system

# Outcomes

• Apply tools provided by the operating system to navigate and manage files and executables
• Select the software environment to build existing and develop novel parallel applications effectively
• Use a workload manager to allocate HPC resources
• Construct workflows that utilize remote (distributed) environments to execute a parallel workflow
• Design and deploy scripts that automatize repetitive tasks

• USE1 Cluster Operating System
• USE2 Running of Parallel Programs
• USE3 Building of Parallel Programs
• USE4 Developing Parallel Programs
• USE5 Automating Common Tasks
• USE6 Workflow Management Systems