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@INPROCEEDINGS{Herten:1033607,
author = {Herten, Andreas and Achilles, Sebastian and Alvarez, Damian
and Badwaik, Jayesh and Behle, Eric and Bode, Mathis and
Breuer, Thomas and Caviedes Voullieme, Daniel and Cherti,
Mehdi and Dabah, Adel and El Sayed Mohamed, Salem and
Frings, Wolfgang and Gonzalez-Nicolas, Ana and Gregory, Eric
B. and Haghighi Mood, Kaveh and Hater, Thorsten and Jitsev,
Jenia and John, Chelsea Maria and Meinke, Jan H. and Meyer,
Catrin I. and Mezentsev, Pavel and Mirus, Jan-Oliver and
Nassyr, Stepan and Penke, Carolin and Römmer, Manoel and
Sinha, Ujjwal and Vieth, Benedikt von St. and Stein, Olaf
and Suarez, Estela and Willsch, Dennis and Zhukov, Ilya},
title = {{A}pplication-{D}riven {E}xascale: {T}he {JUPITER}
{B}enchmark {S}uite},
address = {Los Alamitos, CA, USA},
publisher = {IEEE Computer Society},
reportid = {FZJ-2024-06487},
pages = {32},
year = {2024},
note = {Published in Proceedings of The International Conference
for High Performance Computing Networking, Storage, and
Analysis (SC '24) (2024)},
abstract = {Benchmarks are essential in the design of modern HPC
installations, as they define key aspects of system
components. Beyond synthetic workloads, it is crucial to
include real applications that represent user requirements
into benchmark suites, to guarantee high usability and
widespread adoption of a new system. Given the significant
investments in leadership-class supercomputers of the
exascale era, this is even more important and necessitates
alignment with a vision of Open Science and reproducibility.
In this work, we present the JUPITER Benchmark Suite, which
incorporates 16 applications from various domains. It was
designed for and used in the procurement of JUPITER, the
first European exascale supercomputer. We identify
requirements and challenges and outline the project and
software infrastructure setup. We provide descriptions and
scalability studies of selected applications and a set of
key takeaways. The JUPITER Benchmark Suite is released as
open source software with this work at
https://github.com/FZJ-JSC/jubench.},
month = {Nov},
date = {2024-11-18},
organization = {International Conference for High
Performance Computing, Networking,
Storage, and Analysis, Atlanta, GA
(USA), 18 Nov 2024 - 22 Nov 2024},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5121 - Supercomputing $\&$ Big Data Facilities (POF4-512) /
5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511) / 5111 - Domain-Specific
Simulation $\&$ Data Life Cycle Labs (SDLs) and Research
Groups (POF4-511) / 5122 - Future Computing $\&$ Big Data
Systems (POF4-512) / ATMLAO - ATML Application Optimization
and User Service Tools (ATMLAO) / ATML-X-DEV - ATML
Accelerating Devices (ATML-X-DEV)},
pid = {G:(DE-HGF)POF4-5121 / G:(DE-HGF)POF4-5112 /
G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-5122 /
G:(DE-Juel-1)ATMLAO / G:(DE-Juel-1)ATML-X-DEV},
typ = {PUB:(DE-HGF)8},
eprint = {2408.17211},
howpublished = {arXiv:2408.17211},
archivePrefix = {arXiv},
SLACcitation = {$\%\%CITATION$ = $arXiv:2408.17211;\%\%$},
UT = {WOS:001414891300010},
doi = {10.1109/SC41406.2024.00038},
url = {https://juser.fz-juelich.de/record/1033607},
}