Extending the Palladio Meta-Model to Support Memory Hierarchy

This is a general overview of the gathered data.<br> The structure of the data is shown in FullDataProcessingPipeline.pdf Each step and folder contains its own readme. 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 "lscpu" and "perf list" for each server. The DataFlow in the diagram should also indicate in which step folder the required data can be found. In general, for all python scripts Python3(we used 3.8.3), pandas and NumPy are required.<br> <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.