Speaker
Nuno Dos Santos Fernandes
(LIP - Laboratorio de Instrumentação e Física Experimental de Partículas (PT))
Description
In preparation for the High-Luminosity LHC, the ATLAS Collaboration is interested in evaluating the feasibility of employing hardware acceleration to its software-based high-level trigger. The 16th most costly algorithm in the ATLAS trigger, and the most computationally expensive part of calorimeter reconstruction, is topological clustering, which allows reconstructing the showers that take place in the calorimeters. I would like to present my ongoing efforts to implement a GPU-accelerated alternative to this algorithm, dubbed topo-automaton clustering, and report our current results, with a speed-up of ~6 for di-jet events in run 4 conditions and ~12 for ttbar events in run 3 conditions.
