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@INBOOK{Baumeister:840228,
author = {Baumeister, Paul F. and Bornemann, Marcel and Zeller,
Rudolf and Pleiter, Dirk},
title = {{E}xascale {S}cientific {A}pplications: {P}rogramming
{A}pproaches for {S}calability, {P}erformance, and
{P}ortability: {KKR}nano},
volume = {1},
address = {Boca Raton, Florida, USA},
publisher = {Chapman and Hall/CRC},
reportid = {FZJ-2017-07782},
isbn = {9781138197541},
series = {Chapman $\&$ Hall/CRC computational science},
pages = {431-448},
year = {2017},
comment = {Exascale scientific applications : scalability and
performance portability / Straatsma, Tjerk P., ; Williams,
Timothy J. ; Antypas, Katerina},
booktitle = {Exascale scientific applications :
scalability and performance portability
/ Straatsma, Tjerk P., ; Williams,
Timothy J. ; Antypas, Katerina},
abstract = {Addressing certain materials science problems, e.g.
inhomogeneous materials, using Density Functional Theory
will require exascale compute capabilities as a sufficiently
large number of atoms need to be simulated. In this chapter
we consider a particular approach and an implementation that
is optimized for extreme scale parallelism. We provide an
overview on the Kohn-Sham approach as well as its
application areas and discuss in detail the application
KKRnano. Here we focus on recent efforts to port this
application to GPU-accelerated architectures.},
cin = {JSC / IAS-1 / IAS-3},
ddc = {502.85},
cid = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IAS-1-20090406 /
I:(DE-Juel1)IAS-3-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / 513 - Supercomputer Facility (POF3-513) / 144 -
Controlling Collective States (POF3-144)},
pid = {G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-513 /
G:(DE-HGF)POF3-144},
typ = {PUB:(DE-HGF)7},
url = {https://juser.fz-juelich.de/record/840228},
}