Assessing the performance of the FEniCS Project on Graviton3

HABERA, Michal; HALE, Jack

Scientific presentation in universities or research centers (Scientific presentations in universities or research centers)

HABERA, Michal; HALE, Jack

2023

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https://hdl.handle.net/10993/55560

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Keywords :

HPC; Amazon; Graviton 3; ARM; FEniCS

Abstract :

[en] We assess the performance of the FEniCS Project finite element solver on AWS Graviton3 instances, including compiler auto-vectorisation and MPI runs. Our results show that Graviton3 is competitive or better performing for than state-of-the-art x86-64 HPC systems for various standard finite element methods.

Disciplines :

Computer science
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others

Author, co-author :

HABERA, Michal ; University of Luxembourg

HALE, Jack ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

Language :

English

Title :

Assessing the performance of the FEniCS Project on Graviton3

Publication date :

06 June 2023

Event name :

UL HPC School

Event organizer :

UL HPC Team

Event place :

Luxembourg, Luxembourg

Event date :

06-06-2023 to 08-06-2023

Audience :

International

Focus Area :

Computational Sciences

Name of the research project :

COAT

Funders :

FNR - Fonds National de la Recherche

Commentary :

This project received material resources from Amazon AWS.

Available on ORBilu :

since 08 July 2023

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