A study on implementing a multithreaded version of the SIRENE detector simulation software for high energy neutrinos

TL;DR

This paper develops a multithreaded version of the SIRENE neutrino detector simulation software using OpenMP, aiming to significantly reduce execution time and exploring the potential for GPU acceleration.

Contribution

It introduces a multithreaded implementation of SIRENE for high energy neutrino simulation, enhancing computational efficiency and feasibility for GPU acceleration.

Findings

Multithreaded SIRENE reduces simulation time.

OpenMP effectively parallelizes the code.

GPU acceleration potential is analyzed.

Abstract

The primary objective of SIRENE is to simulate the response to neutrino events of any type of high energy neutrino telescope. Additionally, it implements different geometries for a neutrino detector and different configurations and characteristics of photo-multiplier tubes (PMTs) inside the optical modules of the detector through a library of C+ + classes. This could be considered a massive statistical analysis of photo-electrons. Aim of this work is the development of a multithreaded version of the SIRENE detector simulation software for high energy neutrinos. This approach allows utilization of multiple CPU cores leading to a potentially significant decrease in the required execution time compared to the sequential code. We are making use of the OpenMP framework for the production of multithreaded code running on the CPU. Finally, we analyze the feasibility of a GPU-accelerated implementation.