Parallel adaptive cross approximation for the multi-trace formulation of scattering problems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10244835" target="_blank" >RIV/61989100:27240/20:10244835 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/20:10244835
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-43229-4_13" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-43229-4_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-43229-4_13" target="_blank" >10.1007/978-3-030-43229-4_13</a>

Result language
angličtina
Original language name
Parallel adaptive cross approximation for the multi-trace formulation of scattering problems
Original language description
We present a highly parallel version of the boundary element method accelerated by the adaptive cross approximation for the efficient solution of scattering problems with composite scatterers. Individual boundary integral operators are treated independently, i.e. the boundary of every homogeneous subdomain is decomposed into clusters of elements defining a block structure of the local matrix. The blocks are distributed across computational nodes by a graph algorithm providing a load balancing strategy. The intra-node implementation further utilizes threading in shared memory and in-core SIMD vectorization to make use of all features of modern processors. The suggested approach is validated on a series of numerical experiments presented in the paper
Czech name
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Czech description
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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)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12044
ISBN
978-3-030-43221-8
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
141-150
Publisher name
Springer
Place of publication
Cham
Event location
Bělostok
Event date
Sep 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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