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Framework For Massively Parallel Adaptive Finite Element Computational Fluid Dynamics On Tetrahedral Meshes

Jansson, Niclas (author)
KTH,Numerisk analys, NA
Hoffman, Johan (author)
KTH,Numerisk analys, NA
Jansson, Johan (author)
KTH,Numerisk analys, NA
 (creator_code:org_t)
Society for Industrial & Applied Mathematics (SIAM), 2012
2012
English.
In: SIAM Journal on Scientific Computing. - : Society for Industrial & Applied Mathematics (SIAM). - 1064-8275 .- 1095-7197. ; 34:1, s. C24-C42
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • In this paper we describe a general adaptive finite element framework for unstructured tetrahedral meshes without hanging nodes suitable for large scale parallel computations. Our framework is designed to scale linearly to several thousands of processors, using fully distributed and efficient algorithms. The key components of our implementation, local mesh refinement and load balancing algorithms, are described in detail. Finally, we present a theoretical and experimental performance study of our framework, used in a large scale computational fluid dynamics computation, and we compare scaling and complexity of different algorithms on different massively parallel architectures.

Subject headings

NATURVETENSKAP  -- Matematik -- Beräkningsmatematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Computational Mathematics (hsv//eng)

Keyword

adaptive methods
load balancing
unstructured local mesh refinement
Numerical analysis
Numerisk analys

Publication and Content Type

ref (subject category)
art (subject category)

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Jansson, Niclas
Hoffman, Johan
Jansson, Johan
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NATURAL SCIENCES
NATURAL SCIENCES
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Royal Institute of Technology

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