Home > Novel features and GPU performance analysis for EM particle transport in the Celeritas code |
Talk | ||||||
Title | Novel features and GPU performance analysis for EM particle transport in the Celeritas code | |||||
Video |
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Author(s) | Johnson, Seth (speaker) (Oak Ridge National Laboratory) | |||||
Corporate author(s) | CERN. Geneva | |||||
Imprint | 2021-05-19. - 830. | |||||
Series | (Conferences) (25th International Conference on Computing in High Energy & Nuclear Physics) | |||||
Lecture note | on 2021-05-19T18:19:00 | |||||
Subject category | Conferences | |||||
Abstract | Celeritas is a new computational transport code designed for high-performance simulation of high-energy physics detectors. This work describes some of its current capabilities and the design choices that enable the rapid development of efficient on-device physics. The abstractions that underpin the code design facilitate low-level performance tweaks that require no changes to the higher-level physics code. We evaluate a set of independent changes that together yield an almost 40\% speedup over the original GPU code for a net performance increase of $220\times$ for a single GPU over a single CPU running 8.4M tracks on a small demonstration physics app. | |||||
Copyright/License | © 2021-2024 CERN | |||||
Submitted by | [email protected] |