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Akcelerace algoritmů Lattice-Boltzmann pro modelování toku krve v mozku / Acceleration of Lattice-Boltzmann Algorithms for Bloodflow Modeling

This thesis aims to explore possible implementations and optimizations of the lattice-Boltzmann method. This method allows modeling of fluid flow using a simulation of fictive particles. The thesis focuses on possible improvements of the existing tool HemeLB which  is designed and optimized for bloodflow modeling. Several vectorization and paralellization approaches that could be included in this tool are explored. An application focused on comparing chosen algorithms including optimizations for the lattice-Boltzmann method was implemented as a part of the thesis. A group of tests focused on comparing this algorithms according to performance, cache usage and overall memory usage was performed. The best performance achieved was 150 millions of lattice site updates per second.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:255332
Date January 2016
CreatorsKompová, Radmila
ContributorsKešner, Filip, Jaroš, Jiří
PublisherVysoké učení technické v Brně. Fakulta informačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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