The ATLAS experiment at the Large Hadron Collider (LHC) is looking beyond the Standard Model of particle physics, searching for signs of unknown new physics. An important aspect to be able to find this new physics is the identification of the interesting events within all the events available. Interesting events are called “signal”, while others are “background”. Individuating these signal events, which are indeed extremely rare, is a really challenging task. The LHC has delivered billions of collisions which have been recorded by the ATLAS detector.
Artemisa provides a high performance computing infrastructure that operates continuously thanks to its batch system.
At present, the facility is composed of two user-interface machines where users can develop and test their workflow and 23 machines where they can send their batch jobs. All the batch machines contain an NVIDIA GPU Volta V100 to support AI-oriented algorithms.