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.

• 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.

• USE7-B Post-processing Tools
• USE1-B Cluster Operating System
• USE2-B Running of Parallel Programs
• USE3-B Building of Parallel Programs
• USE4-B Developing Parallel Programs
• USE5-B Automating Common Tasks
• USE6-B Workflows