Comparison and efficiency of GPU accelerated optical light propagation in CORSIKA~8
Year: 2023
Type: conference-paper
Abstract: AI accelerators have proliferated in data centers in recent years and are now almost ubiquitous. In addition, their computational power and, most importantly, their energy efficiency are up to orders of magnitude higher than that of traditional computing. Over the last years, various methods and optimizations have been tested to use these hybrid systems for simulations in the context of astroparticle physics utilizing CORSIKA. The main focus of this talk is the propagation of optical, i.e. fluorescence and Cherenkov, photons through low density inhomogeneous media in the context of the next generation CORSIKA8 simulation framework. Different techniques used and approximations, e.g. the atmospheric model, tested during the development will be presented. The trade-off between performance and precision allows the experiment to achieve its physical precision limited to the real resolution of the experiment and not invest power and time in vanishing precision gains. The additional comparison of classical CPU-based simulations with the new methods validates these methods and allows evaluation against a known baseline.
DOI: 10.22323/1.444.0417
Authors: Dominik Baack, Jean-Marco Alameddine, Johannes Albrecht, Jaime Alvarez-Muñiz, Juan Ammerman-Yebra, Luisa Arrabito, Jannik Augscheller, Antonio Augusto Alves Jr., Konrad Bernlöhr, Marcus Bleicher, Alan Coleman, Hans Dembinski, Dominik Elsässer, Ralph Engel, Alfredo Ferrari, Chloé Gaudu, Christian Glaser, Dieter Heck, Fan Hu, Tim Huege, Karl-Heinz Kampert, Nikolaos Karastathis, Uzair Abdul Latif, Hualin Mei, Lukas Nellen, Tanguy Pierog, Remy Prechelt, Maximilian Reininghaus, Wolfgang Rhode, Felix Riehn, Maximilian Sackel, Paola Sala, Pranav Sampathkumar, Alexander Sandrock, Jan Soedingrekso, Ralf Ulrich, Donglian Xu, Enrique Zas
Institution: TU Dortmund University
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4385356438