@@ -5,6 +5,9 @@ With this project, we aim to reduce the workload on support staff by creating a
We also include a subsystem that automatically determines the applications used in jobs, improving detection accuracy by linking performance patterns to specific applications or domains. When the engine detects a pathological job, it triggers predefined action templates (ATs) to notify users or support staff and provide steps to resolve the issue.
Our automated approach frees up valuable time for HPC support staff, allowing them to focus on more complex tasks. Users receive immediate, actionable feedback on job performance, enabling them to improve future jobs without needing direct support. This system is designed to be adaptable across various HPC centers, benefiting the entire HPC community.
## Code and Material
Currently, the project consists of the rule evaluation engine and the rule definitions: [Job Pattern Rule Evaluation Engine](https://git-ce.rwth-aachen.de/pathojobs/job-pattern-rule-evaluation-wip)
Documentation of the different antipatterns is available in the HPC-Wiki: [Job Classification](https://hpc-wiki.info/hpc/Job_Classification)
