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@INPROCEEDINGS{Gibbon:842520,
author = {Gibbon, Paul and Haefele, Matthieu and Rohe, Daniel and
Lührs, Sebastian and Ould-Rouis, Yacine and Latu, Guillaume
and Breuer, Thomas and Halver, Rene and Marin-Laflèche,
Abel and Lobet, Mathieu and Sharples, Wendy and Girard,
Nathalie and Audit, Edouard},
title = {{E}o{C}o{E} {P}erformance {B}enchmarking {M}ethodology for
{R}enewable {E}nergy {A}pplications},
reportid = {FZJ-2018-00744},
year = {2017},
abstract = {The global transition away from fossil fuels towards a
sustainable, decarbonized energy ecosystem will rely heavily
on digitization to drive necessary innovations in production
and storage technologies, mitigate power source
intermittency and manage its distribution via a complex grid
hierarchy. At the same time, supercomputing is also
experiencing a major paradigm shift: future exascale
technologies will open up unprecedented opportunities to
tackle complex physical problems – such as the design of
wind farms or smart materials for photovoltaics and
batteries – but will demand major restructuring of
application software, numerical algorithms and programming
models. These challenges motivated the creation of the
Energy Oriented Centre of Excellence (EoCoE) two years ago;
an EU-funded consortium twenty-one partners across eight
countries with strong engagements in both the HPC and energy
fields.This poster presents an optimisation strategy
developed by the Energy Oriented Centre of Excellence
(EoCoE) for computational models used in a variety of
renewable energy domains. It is found that typical
applications in this comparatively new sector cover the
widest possible range of HPC maturity, from simple
parallelization needs to near-exascale readiness. A key part
of this process has therefore been the quantitative,
reproducible performance assessment of applications
consolidated by follow-up actions by code-teams comprising
members of both developer groups and HPC centres involved
with the EoCoE consortium. Examples of early successes
achieved with this practice are given, together with an
outlook on challenges faced for energy applications with
next-generation, pre-exascale architectures.},
month = {Nov},
date = {2017-11-12},
organization = {Supercomputing 2017, Denver (USA), 12
Nov 2017 - 17 Nov 2017},
subtyp = {Other},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / EoCoE - Energy oriented Centre of Excellence
for computer applications (676629) / ATMLAO - ATML
Application Optimization and User Service Tools (ATMLAO)},
pid = {G:(DE-HGF)POF3-511 / G:(EU-Grant)676629 /
G:(DE-Juel-1)ATMLAO},
typ = {PUB:(DE-HGF)24},
url = {https://juser.fz-juelich.de/record/842520},
}