Benchmarking and optimising large scale parallel workflows

The main idea of this project is to carry out performance analysis on the RDataFrame class within the 
ROOT operational framework. For this purpose, scalability analysis are performed on the execution 
of the Dimuon and Higgs tutorials evaluating concretely how the source code of these tutorials scales 
with different number of execution threads. 
Among others, it analyzes the comparison between compiled code and JIT (Just-In-Time), different 
types of storage (NVMe, SSD, EOS), memory usage and even measures the impact that NUMA 
effects have on performance.