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@INPROCEEDINGS{Wolf:279818,
author = {Wolf, Anna and Zitz, Anke and Eicker, Norbert and Lapenta,
Giovanni},
title = {{P}article-in-{C}ell algorithms on {DEEP}:{T}he
i{P}i{C}3{D} case study},
journal = {PARS-Mitteilungen},
volume = {32},
issn = {0177-0454},
address = {Erlangen},
publisher = {PARS},
reportid = {FZJ-2015-07697},
pages = {38-48},
year = {2015},
abstract = {The DEEP (Dynamical Exascale Entry Platform) project aims
to provide a first implementation of a novel architecture
for heterogeneous high-performance computing.This
architecture consists of a standard HPC Cluster and –
tightly coupled –a cluster of many-core processors called
Booster. This concept offers application developers the
opportunity to run different parts of their program on the
best fitting part of the machine striving for an optimal
overall performance. In order to take advantage of this
architecture applications require some adaption. To provide
optimal support to the application developers the DEEP
concept includes a high-level programming model that helps
to separate a given program to the Cluster and Booster parts
of the DEEP System. This paper presents the adaption work
required for a Particle-in-Cell space weather application
developed by KU Leuven (Katholieke Universiteit Leuven)done
in the course of the DEEP project. It discusses all crucial
steps of the work starting with a scalability analysis of
the different parts of the program, their performance
projections for the Cluster and the Booster leading to the
separation decisions for the application and finally the
actual implementation work. In addition to that some
performance results are presented.},
month = {May},
date = {2015-05-07},
organization = {PARS 15, Potsdam (Germany), 7 May 2015
- 8 May 2015},
cin = {JSC},
ddc = {004},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {513 - Supercomputer Facility (POF3-513)},
pid = {G:(DE-HGF)POF3-513},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)16},
url = {https://juser.fz-juelich.de/record/279818},
}