Parallel analysis tutorials

These examples show data analyses with explicit multithreading and multiprocessing.

When using RDataFrame, implicit multithreading can be enabled by simply calling ROOT::EnableImplicitMT().

Tutorial			Description
Multiprocessing	Multithreading
mp_parallelHistoFill.C	mt_parallelHistoFill.C	mtbb_parallelHistoFill.C	Fill histograms in parallel
	mt_fillHistos.C	mtbb_fillHistos.C	Fill histograms in parallel and write them on file
mp_processSelector.C			Usage of TTreeProcessorMP and TSelector with h1analysis.C

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Files
file	mp_parallelHistoFill.C
	Fill histogram in parallel with a multiprocessing approach using TProcessExecutor and TExecutor::MapReduce.
file	mp_processSelector.C
	Illustrate the usage of the multiprocessing TTreeProcessorMP and TSelector interfaces with the h1analysis.C example.
file	mt_fillHistos.C
	Fill histograms in parallel and write them on file with a multithreaded approach using std::thread.
file	mt_parallelHistoFill.C
	Fill histogram in parallel with a multithreaded approach using TThreadedObject and TThreadedObject::SnapshotMerge.
file	mtbb_fillHistos.C
	Fill histograms in parallel and write them on file with a multithreaded approach using TThreadExecutor and TExecutor::Map.
file	mtbb_parallelHistoFill.C
	Fill histogram in parallel with a multithreaded approach using TThreadExecutor and TExecutor::MapReduce.