Big PanDA tackles big data for physics and other future extreme scale scientific applications
Tuesday, August 16, 2016 - 13:32
in Physics & Chemistry
A billion times per second, particles zooming through the Large Hadron Collider (LHC) at CERN, the European Organization for Nuclear Research, smash into one another at nearly the speed of light, emitting subatomic debris that could help unravel the secrets of the universe. Collecting the data from those collisions and making it accessible to more than 6000 scientists in 45 countries, each potentially wanting to slice and analyze it in their own unique ways, is a monumental challenge that pushes the limits of the Worldwide LHC Computing Grid (WLCG), the current infrastructure for handling the LHC's computing needs. With the move to higher collision energies at the LHC, the demand just keeps growing.