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Framework For Massi...
Framework For Massively Parallel Adaptive Finite Element Computational Fluid Dynamics On Tetrahedral Meshes
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- Jansson, Niclas (author)
- KTH,Numerisk analys, NA
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- Hoffman, Johan (author)
- KTH,Numerisk analys, NA
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- Jansson, Johan (author)
- KTH,Numerisk analys, NA
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(creator_code:org_t)
- Society for Industrial & Applied Mathematics (SIAM), 2012
- 2012
- English.
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In: SIAM Journal on Scientific Computing. - : Society for Industrial & Applied Mathematics (SIAM). - 1064-8275 .- 1095-7197. ; 34:1, s. C24-C42
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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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