TY  - CONF
AU  - Gupta, Nikunj
AU  - Ashiwal, Rohit
AU  - Brank, Bine
AU  - Peddoju, Sateesh K.
AU  - Pleiter, Dirk
TI  - Performance Evaluation of ParalleX Execution model on Arm-based Platforms
PB  - IEEE
M1  - FZJ-2021-00080
SP  - 567-575
PY  - 2020
AB  - 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.
T2  - 2020 IEEE International Conference on Cluster Computing (CLUSTER)
CY  - 14 Sep 2020 - 17 Sep 2020, Kobe (Japan)
Y2  - 14 Sep 2020 - 17 Sep 2020
M2  - Kobe, Japan
LB  - PUB:(DE-HGF)8
UR  - <Go to ISI:>//WOS:000698696500070
DO  - DOI:10.1109/CLUSTER49012.2020.00080
UR  - https://juser.fz-juelich.de/record/889157
ER  -