Parallel Neutrino Triggers using GPUs for an underwater telescope
Bachir Bouhadef, Mauro Morganti, Giuseppe Terreni

TL;DR
This paper explores implementing online neutrino trigger algorithms on GPU-accelerated systems for underwater telescopes, demonstrating potential for real-time data processing in neutrino detection experiments.
Contribution
It introduces a GPU-based approach for real-time neutrino trigger algorithms in underwater telescopes, extending GPU applications beyond graphics to particle physics.
Findings
Successful simulation of neutrino triggers on GPU systems
Potential for real-time processing in neutrino detection
Demonstrated feasibility on NEMO and KM3Net towers
Abstract
Graphics Processing Units are high performance co-processors originally intended to improve the use and the acceleration of computer graphics applications. Because of their performance, researchers have extended their use beyond the computer graphics scope. We have investigated the possibility of implementing online neutrino trigger algorithms in the KM3Net-It experiment using a CPU-GPU system. The results of a neutrino trigger simulation on a NEMO Phase II tower and a KM3-It 14 floors tower are reported.
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Radio Astronomy Observations and Technology
