On the Way to Future's High Energy Particle Physics Transport Code

TL;DR

This paper discusses the development and testing of GeantV, a high-performance particle transport code optimized for modern CPU and GPU architectures, aiming to replace Geant4 for faster simulations in high energy physics.

Contribution

It introduces GeantV, a new parallelized particle transport code that leverages modern hardware capabilities to significantly improve simulation speed in high energy physics.

Findings

GeantV shows improved performance over Geant4 on CPU and GPU architectures.

Parallel computing techniques enhance simulation efficiency.

Initial tests demonstrate GeantV's potential as a successor to Geant4.

Abstract

High Energy Physics (HEP) needs a huge amount of computing resources. In addition data acquisition, transfer, and analysis require a well developed infrastructure too. In order to prove new physics disciplines it is required to higher the luminosity of the accelerator facilities, which produce more-and-more data in the experimental detectors. Both testing new theories and detector R&D are based on complex simulations. Today have already reach that level, the Monte Carlo detector simulation takes much more time than real data collection. This is why speed up of the calculations and simulations became important in the HEP community. The Geant Vector Prototype (GeantV) project aims to optimize the most-used particle transport code applying parallel computing and to exploit the capabilities of the modern CPU and GPU architectures as well. With the maximized concurrency at multiple levels the GeantV is intended to be the successor of the Geant4 particle transport code that has been used since two decades successfully. Here we present our latest result on the GeantV tests performances, comparing CPU/GPU based vectorized GeantV geometrical code to the Geant4 version.