PanDA: Exascale Federation of Resources for the ATLAS Experiment at the LHC
Fernando Harald Barreiro Megino, Jose Caballero Bejar, K. De, John Hover, Alexei A. Klimentov, T. Maeno, P. Nilsson, D. Oleynik, Siarhei Padolski, S. Panitkin, A. Petrosyan, Torre J. Wenaus · EPJ Web of Conferences · 2016
After a scheduled maintenance and upgrade period, the world’s largest and most powerful machine – the Large Hadron Collider(LHC) – is about to enter its second run at unprecedented energies. In order to exploit the scientific potential of the machine, the experiments at the LHC face computational challenges with enormous data volumes that need to be analysed by thousand of physics users and compared to simulated data. Given diverse funding constraints, the computational resources for the LHC have been deployed in a worldwide mesh of data centres, connected to each other through Grid technologies.