ATC: ATLAS Center at ANL

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===== Building Pythia on BlueGene/Q =====

==== Part 1: Build HepMC Library ====

  - Check out HepMC from SVN: <code bash>svn co svn+ssh://username@atlas1.hep.anl.gov/users/svn/hpc/tools/HepMC-2.06.08 <destination_path></code>
  - Inside the HepMC folder run <code bash>./bgq-make.sh</code>

==== Part 2: Build Pythia Library ====

  - Check out Pythia from SVN: <code bash>svn co svn+ssh://username@atlas1.hep.anl.gov/users/svn/hpc/generators/pythia/v8180/bgq/trunk <destination_path></code>
  - Inside the Pythia folder run <code bash>./bgq-make.sh</code>

==== Part 3: Build Pythia Executable ====

  - Check out TCLAP from SVN: <code bash>svn co svn+ssh://username@atlas1.hep.anl.gov/users/svn/hpc/tools/tclap-1.2.1 <destination_path></code>
  - Check out Pythia user code from SVN: <code bash>svn co svn+ssh://username@atlas1.hep.anl.gov/users/svn/hpc/generators/pythia/usercode <destination_path></code>
  - Inside the ''usercode'' folder you will find different programs written to use Pythia. As of this writting there was only one:
    * ''alpToHepmc/runPythiaOnAlpgen.cpp'' which can be used to shower Alpgen events and output HepMC format
      * There is a ''Makefile'' which can be used to make an executable, be sure to edit the paths inside the ''Makefile'' to point to the HepMC/Pythia/TCLAP installations

===== Pythia Performance =====

==== On ''acinode.hep.anl.gov'' ====

This is the Pythia performance on ''ascinode.hep.anl.gov'' while hadronizing Alpgen Z+N-jet events.
  * 'N Showered Events' are the number of events Pythia showered during the test.
  * 'CPU Time' are the seconds reported by the 'time' command line that it took Pythia to run.
  * 'Rate' = 'N Showered Events'/'CPU Time'
  * 'Accepted Events' are the number of events that passed the Jet Matching that Pythia performs in order to avoid double counting.
  * 'Acceptance Efficieny' = 'Accepted Events'/'N Showered Events'
  * 'Accepted Rate' = 'Accepted Events'/'CPU Time'

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