Fill n-tuples in distinct workers.
This tutorial illustrates the basics of how it's possible with ROOT to offload heavy operations on multiple threads and how it's possible to write simultaneously multiple files. The operation performed in this case is the creation of random gaussian numbers. NOTE: this code can be executed in a macro, ACLiC'ed or not, but not yet at the command line prompt.
const UInt_t nNumbers = 20000000U;
const auto workSize = nNumbers / nWorkers;
{
}
Int_t mt101_fillNtuples()
{
TFile ofile(
"mt101_singleCore.root",
"RECREATE");
TNtuple randomNumbers(
"singleCore",
"Random Numbers",
"r");
fillRandom(randomNumbers, rndm, nNumbers);
randomNumbers.Write();
ofile.Close();
auto workItem = [](
UInt_t workerID) {
TFile ofile(
Form(
"mt101_multiCore_%u.root", workerID),
"RECREATE");
TNtuple workerRandomNumbers(
"multiCore",
"Random Numbers",
"r");
fillRandom(workerRandomNumbers, workerRndm, workSize);
workerRandomNumbers.Write();
return 0;
};
std::vector<std::thread> workers;
workers.emplace_back(workItem, workerID);
}
for (auto &&worker : workers)
worker.join();
return 0;
}
char * Form(const char *fmt,...)
A pseudo container class which is a generator of indices.
A ROOT file is a suite of consecutive data records (TKey instances) with a well defined format.
A simple TTree restricted to a list of float variables only.
virtual Int_t Fill()
Fill a Ntuple with current values in fArgs.
Random number generator class based on M.
virtual Double_t Gaus(Double_t mean=0, Double_t sigma=1)
Samples a random number from the standard Normal (Gaussian) Distribution with the given mean and sigm...
void EnableThreadSafety()
Enables the global mutex to make ROOT thread safe/aware.
- Date
- January 2016
- Author
- Danilo Piparo
Definition in file mt101_fillNtuples.C.