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Reference Guide
mp102_readNtuplesFillHistosAndFit.C File Reference

Detailed Description

View in nbviewer Open in SWAN Read n-tuples in distinct workers, fill histograms, merge them and fit.

We express parallelism with multiprocessing as it is done with multithreading in mt102_readNtuplesFillHistosAndFit.

/// \date January 2016
Int_t mp102_readNtuplesFillHistosAndFit()
{
// No nuisance for batch execution
gROOT->SetBatch();
//---------------------------------------
// Perform the operation sequentially
TChain inputChain("multiCore");
inputChain.Add("mp101_multiCore_*.root");
if (inputChain.GetNtrees() <= 0) {
Printf(" No files in the TChain: did you run mp101_fillNtuples.C before?");
return 1;
}
TH1F outHisto("outHisto", "Random Numbers", 128, -4, 4);
inputChain.Draw("r >> outHisto");
outHisto.Fit("gaus");
//---------------------------------------
// We now go MP!
// TProcessExecutor offers an interface to directly process trees and chains without
// the need for the user to go through the low level implementation of a
// map-reduce.
// We adapt our parallelisation to the number of input files
const auto nFiles = inputChain.GetListOfFiles()->GetEntries();
// This is the function invoked during the processing of the trees.
auto workItem = [](TTreeReader & reader) {
auto partialHisto = new TH1F("outHistoMP", "Random Numbers", 128, -4, 4);
while (reader.Next()) {
partialHisto->Fill(*randomRV);
}
return partialHisto;
};
// Create the pool of processes
ROOT::TTreeProcessorMP workers(nFiles);
// Process the TChain
auto sumHistogram = workers.Process(inputChain, workItem, "multiCore");
sumHistogram->Fit("gaus", 0);
return 0;
}
Author
Danilo Piparo

Definition in file mp102_readNtuplesFillHistosAndFit.C.