Parallel Neutrino Triggers using GPUs for an underwater telescope

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.