Mtbb 1 0 1_Fill Ntuples

Fill n-tuples in distinct workers. This tutorial illustrates the basics of how it's possible with ROOT to offload heavy operations on multiple processes and how it's possible to write simultaneously multiple files. The operation performed in this case is the creation of random gaussian numbers.

Author: Danilo Piparo
This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Thursday, February 25, 2021 at 09:35 AM.

Some useful constants and functions

Total amount of numbers

const UInt_t nNumbers = 20000000U;

The number of workers

const UInt_t nThreads = 4U;

We split the work in equal parts

const auto workSize = nNumbers / nThreads;

A simple function to fill ntuples randomly

%%cpp -d
void fillRandom(TNtuple &ntuple, TRandom3 &rndm, UInt_t n)
{
   for (auto i : ROOT::TSeqI(n))
      ntuple.Fill(rndm.Gaus());
}

No nuisance for batch execution

gROOT->SetBatch();

Perform the operation sequentially ---------------------------------------

Create a random generator and and ntuple to hold the numbers

TRandom3 rndm(1);
TFile ofile("mtbb101_singleCore.root", "RECREATE");
TNtuple randomNumbers("singleCore", "Random Numbers", "r");
fillRandom(randomNumbers, rndm, nNumbers);
randomNumbers.Write();
ofile.Close();

We now go mp! ------------------------------------------------------------

We define our work item

auto workItem = [](UInt_t workerID) {
   // One generator, file and ntuple per worker
   TRandom3 workerRndm(workerID); // Change the seed
   TFile ofile(Form("mtbb101_multiCore_%u.root", workerID), "RECREATE");
   TNtuple workerRandomNumbers("multiCore", "Random Numbers", "r");
   fillRandom(workerRandomNumbers, workerRndm, workSize);
   workerRandomNumbers.Write();
   return 0;
};

Create the pool of workers

ROOT::TThreadExecutor pool(nThreads);

Fill the pool with work

pool.Map(workItem, ROOT::TSeqI(nThreads));

return 0;

Draw all canvases

gROOT->GetListOfCanvases()->Draw()