Large-Scale Monte Carlo Simulation over Distributed Computing Infrastructures using HTCaaS
KISTI, Seoyoung C. Kim, Soo-hyeon Nam, KISTI · 2013
We discuss the aspect of the MC simulation performance on the agent-based multi-level job submission system, HTCaaS, which offers efficiencies by dispatching pilot jobs across multiple and heterogeneous resources. We show that the MC tools such as MadGraph5 and PYTHIA can be integrated well in the HTCaaS system without the modification of the codes. We also show that the idle cycles of the distributed computing environment can be best utilize to greatly reduce the run times of the MC event generations under HTCaaS system.