Toward highly parallel loading of unstructured meshes
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Toward highly parallel loading of unstructured meshes
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Engineering Software
ISSN
0965-9978
e-ISSN
1873-5339
Volume of the periodical
166
Issue of the periodical within the volume
April
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
nestrankovano
UT code for WoS article
000774225000004
EID of the result in the Scopus database
2-s2.0-85125837156