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

Authors :
Johnson, Seth R.
Tognini, Stefano C.
Canal, Philippe
Evans, Thomas
Jun, Soon Yung
Lima, Guilherme
Lund, Amanda
Pascuzzi, Vincent R.
Source :
EPJ Web of Conferences. 8/23/2021, Vol. 251, p1-11. 11p.
Publication Year :
2021

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× for a single GPU over a single CPU running 8.4M tracks on a small demonstration physics app. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21016275
Volume :
251
Database :
Academic Search Index
Journal :
EPJ Web of Conferences
Publication Type :
Conference
Accession number :
152495359
Full Text :
https://doi.org/10.1051/epjconf/202125103030