% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INPROCEEDINGS{Gibbon:1048672,
author = {Gibbon, Paul},
title = {{PEPC}: {A}n {O}pen-{S}ource {M}ulti-{P}hysics {F}ramework
for {M}esh-free {S}imulation of {N}-{B}ody {S}ystems},
reportid = {FZJ-2025-04795},
year = {2025},
note = {Minisymposium on Advances in Particle MethodsOrganizers:
Andrew J. Christlieb, Jingwei Hu, Lee
RicketsonDescription:Particle methods have been an essential
tool in the simulation of problems that are dominated by
kinetic effects. Typically these methods are at best second
order and have dominated engineering and physics due to
their ease of implementation and direct interpretability.
Over the past 10 years, advances in particle methods have
created a renaissance and how we approach solving these
problems, offering more flexibility, greater accuracy and
rigorous structure preservation. This minisymposium is
designed to highlight advances in particle methods. Topics
include fully implicit methods, mesh free representations,
structure preserving algorithms, asymptotic preserving
methods, adjoint methods for particle representations. This
survey of recent advances is meant to engage the
mathematical community in a discussion about value of these
methods and the importance of this renaissance in method
development.},
abstract = {PEPC is a multi-physics community tree-code developedand
hosted by JSC over the last two decades [P. Gibbonet al.
(2024), DOI: 10.5281/zenodo.11035167.]. At itscore the code
utilises a hierarchical tree structure originallybased on
the Salmon-Warren Hashed Oct Tree scheme toperform rapid
force summation of a dynamical N-body sys-tem interacting
via long-range potentials on heterogeneoussuperomputer
architectures. Depending on the physicalchoice of potential,
the algorithm can be applied to di-verse fields such as
plasma, gravitational systems and vor-tex fluids [Durante et
al., Math. Comp. in Simulation225, 528 (2024)]. In this talk
we highlight some of the re-cent key developments in the
PEPC framework, coveringalgorithmic and physical aspects and
such as GPU port-ing, time-integration schemes, management
of dynamicalparticle populations [Chew et al., Plasma Phys.
Contr.Fusion 63, 045012 (2024)] and inclusion of
self-generatedmagnetic fields [Siddi et al., Phys. Plasmas
24, 082103(2017)] in charged-particle systems.},
month = {Mar},
date = {2025-03-03},
organization = {SIAM Conference on Computational
Science and Engineering, Fort Worth, TX
(USA), 3 Mar 2025 - 7 Mar 2025},
subtyp = {Invited},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / Simulation and Data
Lab Plasma Physics},
pid = {G:(DE-HGF)POF4-5111 / G:(DE-Juel-1)SDLPP},
typ = {PUB:(DE-HGF)6},
doi = {10.34734/FZJ-2025-04795},
url = {https://juser.fz-juelich.de/record/1048672},
}