Contribution to a conference proceedings

FZJ-2021-00080

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Performance Evaluation of ParalleX Execution model on Arm-based Platforms

Gupta, N. ; Ashiwal, R. ; Brank, B.FZJ* ; Peddoju, S. K. ; Pleiter, D. (Corresponding author)FZJ*

2020
IEEE

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Please use a persistent id in citations: http://hdl.handle.net/2128/26690  doi:10.1109/CLUSTER49012.2020.00080

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.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 513 - Supercomputer Facility (POF3-513) (POF3-513)
2. Mont-Blanc 2020 - Mont-Blanc 2020, European scalable, modular and power efficient HPC processor (779877) (779877)
3. PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) (PHD-NO-GRANT-20170405)

Appears in the scientific report 2020

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Database coverage:

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