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@INPROCEEDINGS{Gupta:889157,
author = {Gupta, Nikunj and Ashiwal, Rohit and Brank, Bine and
Peddoju, Sateesh K. and Pleiter, Dirk},
title = {{P}erformance {E}valuation of {P}aralle{X} {E}xecution
model on {A}rm-based {P}latforms},
publisher = {IEEE},
reportid = {FZJ-2021-00080},
pages = {567-575},
year = {2020},
abstract = {The HPC community shows a keen interest in creating
diversity in the CPU ecosystem. The advent of Arm-based
processors provides an alternative to the existing HPC
ecosystem, which is primarily dominated by x86 processors.
In this paper, we port an Asynchronous Many-Task runtime
system based on the ParalleX model, i.e., High Performance
ParalleX (HPX), and evaluate it on the Arm ecosystem with a
suite of benchmarks. We wrote these benchmarks with an
emphasis on vectorization and distributed scaling. We
present the performance results on a variety of Arm
processors and compare it with their x86 brethren from
Intel. We show that the results obtained are equally good or
better than their x86 brethren. Finally, we also discuss a
few drawbacks of the present Arm ecosystem.},
month = {Sep},
date = {2020-09-14},
organization = {2020 IEEE International Conference on
Cluster Computing (CLUSTER), Kobe
(Japan), 14 Sep 2020 - 17 Sep 2020},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {513 - Supercomputer Facility (POF3-513) / Mont-Blanc 2020 -
Mont-Blanc 2020, European scalable, modular and power
efficient HPC processor (779877) / PhD no Grant - Doktorand
ohne besondere Förderung (PHD-NO-GRANT-20170405)},
pid = {G:(DE-HGF)POF3-513 / G:(EU-Grant)779877 /
G:(DE-Juel1)PHD-NO-GRANT-20170405},
typ = {PUB:(DE-HGF)8},
UT = {WOS:000698696500070},
doi = {10.1109/CLUSTER49012.2020.00080},
url = {https://juser.fz-juelich.de/record/889157},
}