Profiling studies

In SP-2647, we have gathered a list of use cases, ensuring that we have all the elements (input data, configuration parameters, software tools, documentation) required to execute the use case, and we have also analysed different profiling tools. The next step is to be achieved in PI16 is to carry out the profiling studies by executing the profiling tools for each of the use cases, gathering and analysing the metrics produced by these tools to generate a report about the performance of the scientific applications in each use cases.  The repository to gather the results from this work was created and organised in the previous PI:  https://gitlab.com/ska-telescope/src/src-scientific-use-cases

Who: Coral and collaboration with WG6

What: Do profiling studies on the use cases

Why: Provide resource usage metrics (profiling) for use cases. This objective is to know the performance of the applications and workflows that will be used in the SRCNet pipelines (use cases) and how they use the computing resources in order to detect bottlenecks, optimize use of the resources, code optimization, among others.