Toward highly parallel loading of unstructured meshes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10250093" target="_blank" >RIV/61989100:27740/22:10250093 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.advengsoft.2022.103100" target="_blank" >https://doi.org/10.1016/j.advengsoft.2022.103100</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.advengsoft.2022.103100" target="_blank" >10.1016/j.advengsoft.2022.103100</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Toward highly parallel loading of unstructured meshes

Popis výsledku v původním jazyce

This paper presents an algorithm for highly-parallel loading and processing of unstructured mesh databases in a distributed memory environment of large HPC clusters without collecting data into a single process. The algorithm is proved effective, having linear speedup in the large dataset limit. Demonstrated on Ansys CDB, EnSight, VTK Legacy, and XDMF databases, we show that it is possible to efficiently reconstruct meshes with 800 million nodes and 500 million elements in several seconds on thousands of processors, even from databases that were not designed to be read in parallel. The algorithm is implemented in our MESIO library that can be used as (i) an efficient parallel loader (e.g. for numerical physical solvers) or as (ii) a high performing parallel converter between mesh databases. (C) 2022 Elsevier Ltd

Název v anglickém jazyce

Toward highly parallel loading of unstructured meshes

Popis výsledku anglicky

This paper presents an algorithm for highly-parallel loading and processing of unstructured mesh databases in a distributed memory environment of large HPC clusters without collecting data into a single process. The algorithm is proved effective, having linear speedup in the large dataset limit. Demonstrated on Ansys CDB, EnSight, VTK Legacy, and XDMF databases, we show that it is possible to efficiently reconstruct meshes with 800 million nodes and 500 million elements in several seconds on thousands of processors, even from databases that were not designed to be read in parallel. The algorithm is implemented in our MESIO library that can be used as (i) an efficient parallel loader (e.g. for numerical physical solvers) or as (ii) a high performing parallel converter between mesh databases. (C) 2022 Elsevier Ltd

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LM2018140" target="_blank" >LM2018140: e-Infrastruktura CZ</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Advances in Engineering Software

ISSN

0965-9978

e-ISSN

1873-5339

Svazek periodika

166

Číslo periodika v rámci svazku

April

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

nestrankovano

Kód UT WoS článku

000774225000004

EID výsledku v databázi Scopus

2-s2.0-85125837156