CERN Accelerating science

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Title Novel features and GPU performance analysis for EM particle transport in the Celeritas code
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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]

 


 Record created 2021-05-21, last modified 2024-06-26


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