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

19 May 2021, 18:19
13m
Short Talk Offline Computing Accelerators

Speaker

Seth Johnson (Oak Ridge National Laboratory)

Description

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.

Primary authors

Seth Johnson (Oak Ridge National Laboratory) Dr Stefano Tognini (Oak Ridge National Laboratory) Philippe Canal (Fermi National Accelerator Lab. (US)) Dr Thomas Evans (ORNL) Guilherme Lima (FermiLab (US)) Amanda Lund (Argonne National Lab) Soon Yung Jun (Fermi National Accelerator Lab. (US)) Vincent Pascuzzi (Lawrence Berkeley National Lab. (US))

Presentation materials

Proceedings

Paper