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Coarsening of Simplicial Meshes for Large ScaleParallel FEM Computations with DOLFIN HPC: A parallel implementation of the edge collapse algorithm
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Numerical Analysis, NA.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Utglesning av simplex-nät för storskaliga parallellaFEM-beräkningar med DOLFIN HPC (Swedish)
Abstract [en]

Adaptive mesh refinement and coarsening methods are effective techniques to reduce the computation time of finite element based solvers. Parallel imple- mentations of such adaption routines, suitable for large scale computations on distributed memory machines, need additional care. In this thesis, a coarsening technique based on edge collapses is presented, its implementation and opti- mization for parallel computations explained and it is analyzed with respect to coarsening efficiency and performance. As a possible application the use of mesh coarsening in adaptive flow simulations is demonstrated

Abstract [sv]

Adaptiv förfining ochutglesning av element-nät är effektiva tekniker för att minska beräkningstidenför finita-element-lösare. Implementering av sådana adaptions-rutiner, passandeför stora beräkningar på maskiner med distribuerat minne, kräver stor omsorg. Idetta arbete presenteras en utglesnings-metod baserad på kant-sammanslagningar.Dess implementering och optimering för parallell-beräkningar förklaras ochanalyseras med avseende på glesnings-effektivitet och tidsåtgång. Somtillämpning visas nätutglesning i adaptiv strömningssimulering

Place, publisher, year, edition, pages
2013. , 88 p.
TRITA-MAT-E, 2013:37
National Category
Computational Mathematics
URN: urn:nbn:se:kth:diva-124240OAI: diva2:633890
Subject / course
Numerical Analysis
Educational program
Master of Science - Scientific Computing
Physics, Chemistry, Mathematics
Available from: 2013-06-27 Created: 2013-06-27 Last updated: 2013-06-27Bibliographically approved

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