@Article{CiCP-30-1232,
author = {T. Bettencourt , MatthewA. S. Brown , DominicL. Cartwright , KeithC. Cyr , EricA. Glusa , ChristianT. Lin , PaulG. Moore , StanA. O. McGregor , DuncanPawlowski , Roger P.Phillips , Edward G.Roberts , Nathan V.Wright , Steven A.Maheswaran , SatheeshJones , John P. and A. Jarvis , Stephen},
title = {EMPIRE-PIC: A Performance Portable Unstructured Particle-in-Cell Code},
journal = {Communications in Computational Physics},
year = {2021},
volume = {30},
number = {4},
pages = {1232--1268},
abstract = {<p style="text-align: justify;">In this paper we introduce EMPIRE-PIC, a finite element method particle-in-cell (FEM-PIC) application developed at Sandia National Laboratories. The code
has been developed in C++ using the Trilinos library and the Kokkos Performance
Portability Framework to enable running on multiple modern compute architectures
while only requiring maintenance of a single codebase. EMPIRE-PIC is capable of solving both electrostatic and electromagnetic problems in two- and three-dimensions to
second-order accuracy in space and time. In this paper we validate the code against
three benchmark problems — a simple electron orbit, an electrostatic Langmuir wave,
and a transverse electromagnetic wave propagating through a plasma. We demonstrate the performance of EMPIRE-PIC on four different architectures: Intel Haswell
CPUs, Intel&#39;s Xeon Phi Knights Landing, ARM Thunder-X2 CPUs, and NVIDIA Tesla
V100 GPUs attached to IBM POWER9 processors. This analysis demonstrates scalability of the code up to more than two thousand GPUs, and greater than one hundred
thousand CPUs.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2020-0261},
url = {http://global-sci.org/intro/article_detail/cicp/19400.html}
}