Szczegóły publikacji

Opis bibliograficzny

Parallel refined isogeometric analysis in 3D / Leszek SIWIK, Maciej WOŹNIAK, Victor Trujillo, David Pardo, Victor Manuel Calo, Maciej PASZYŃSKI // IEEE Transactions on Parallel and Distributed Systems ; ISSN 1045-9219. — 2019 — vol. 30 no. 5, s. 1134–1142. — Bibliogr. s. 1141–1142, Abstr.

Autorzy (6)

Słowa kluczowe

direct solversisogeometric analysisparallel computing

Dane bibliometryczne

ID BaDAP121300
Data dodania do BaDAP2019-05-17
Tekst źródłowyURL
DOI10.1109/TPDS.2018.2879664
Rok publikacji2019
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaIEEE Transactions on Parallel and Distributed Systems

Abstract

We study three-dimensional isogeometric analysis (IGA) and the solution of the resulting system of linear equations via a direct solver. IGA uses highly continuous <formula><tex>$C^{(p-1)}$</tex></formula> basis functions, which provide multiple benefits in terms of stability and convergence properties. However, smooth basis significantly deteriorate the direct solver performance and its parallel scalability. As a partial remedy for this, refined Isogeometric Analysis (rIGA) method improves the sequential execution of direct solvers. The refinement strategy enriches traditional highly-continuous <formula><tex>$C^{(p-1)}$</tex></formula> IGA spaces by introducing low-continuity <formula><tex>$C^{0}$</tex></formula>-hyperplanes along the boundaries of certain pre-defined macro-elements. In this work, propose a solution strategy for rIGA for parallel distributed memory machines and compare the computational costs of solving rIGA vs IGA discretizations. We verify our estimates with parallel numerical experiments. Results show that the weak parallel scalability of the direct solver improves approximately by a factor of <formula><tex>$p^{2}$</tex></formula> when considering rIGA discretizations rather than highly-continuous IGA spaces. IEEE

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fragment książki
#98541Data dodania: 28.7.2016
Efficient parallelization of direct solvers for isogeometric analysis : [abstract] / Maciej PASZYŃSKI, Grzegorz GURGUL, Daniel Garcia, David Pardo // W: PMAA16 [Dokument elektroniczny] : [9th international workshop on Parallel Matrix Algorithms and Applications] : 6–8 July 2016, Bordeaux, France. — Wersja do Windows. — Dane tekstowe. — [France : s. n.], [2016]. — S. 34–35. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://goo.gl/Y4XgQB [2016-06-21]. — Bibliogr. s. 35
artykuł
#117865Data dodania: 16.11.2018
Concurrency of three-dimensional refined isogeometric analysis / Maciej PASZYŃSKI, Leszek SIWIK, Maciej WOŹNIAK // Parallel Computing ; ISSN 0167-8191. — 2018 — vol. 80, s. 1–22. — Bibliogr. s. 21–22, Abstr. — Publikacja dostępna online od: 2018-10-23