Parallel assembly of ACA BEM matrices on Xeon Phi clusters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10240414" target="_blank" >RIV/61989100:27240/18:10240414 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/18:10240414
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-78024-5_10" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-78024-5_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-78024-5_10" target="_blank" >10.1007/978-3-319-78024-5_10</a>
Alternative languages
Result language
angličtina
Original language name
Parallel assembly of ACA BEM matrices on Xeon Phi clusters
Original language description
The paper presents parallelization of the boundary element method in distributed memory of a cluster equipped with many-core based compute nodes. A method for efficient distribution of boundary element matrices among MPI processes based on the cyclic graph decompositions is described. In addition, we focus on the intra-node optimization of the code, which is necessary in order to fully utilize the many-core processors with wide SIMD registers. Numerical experiments carried out on a cluster consisting of the Intel Xeon Phi processors of the Knights Landing generation are presented. (C) Springer International Publishing AG, part of Springer Nature 2018.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10777
ISBN
978-3-319-78023-8
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
101-110
Publisher name
Springer
Place of publication
Cham
Event location
Čenstochová
Event date
Sep 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000458563300010