@inproceedings{24e0e8322efe487e8768cb1b299934f5,
title = "Parallel adaptive cross approximation for the multi-trace formulation of scattering problems",
abstract = "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.",
keywords = "Adaptive cross approximation, Boundary element method, Distributed parallelization, Multi-trace formulation",
author = "Michal Krav{\v c}enko and Jan Zapletal and Xavier Claeys and Michal Merta",
note = "Publisher Copyright: {\textcopyright} The Author(s).; 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019 ; Conference date: 08-09-2019 Through 11-09-2019",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-43229-4\_13",
language = "English",
isbn = "9783030432287",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "141--150",
editor = "Roman Wyrzykowski and Konrad Karczewski and Ewa Deelman and Jack Dongarra",
booktitle = "Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Revised Selected Papers",
}