Extending the Palladio Meta-Model to Support Memory Hierarchy

<p>This is a general overview of the gathered data.<br> The structure of the data is shown in FullDataProcessingPipeline.pdf</p> <p>Each step and folder contains its own readme.</p> <p>The steps 1 and 2 are combined because the python conversion script is dependent on multiple data sources of the previous steps.<br> Therefore, file paths are dependent on each other.<br> In the Step1and2 folder are also the outputs of &quot;lscpu&quot; and &quot;perf list&quot; for each server.</p> <p>The DataFlow in the diagram should also indicate in which step folder the required data can be found.&nbsp;</p> <p>In general, for all python scripts Python3(we used 3.8.3), pandas and NumPy are required.<br> &nbsp;<br> The project to create the parallelized matrix is located in the Palladio-modeling-memory-bandwidth-on96Cores.zip.<br> At the end of its Readme.MD a description on how to use the ./buildExperimentJars is described. &nbsp;</p>