High Performance Computing for Blood Modeling

Pogorelova E.A., Lobanov A.I.
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Methods for modeling blood flow and its rheological properties are reviewed. Blood is considered as a particle suspencion. The methods are boundary integral equation method (BIEM), lattice Boltzmann (LBM), finite elements on dynamic mesh, dissipative particle dynamics (DPD) and agent based modeling. The analysis of these methods’ applications on high-performance systems with various architectures is presented.

Keywords: blood, hemodynamics, nonnewtonian fluid, red blood cells, high performance computing
Citation in English: Pogorelova E.A., Lobanov A.I. High Performance Computing for Blood Modeling // Computer Research and Modeling, 2012, vol. 4, no. 4, pp. 917-941
Citation in English: Pogorelova E.A., Lobanov A.I. High Performance Computing for Blood Modeling // Computer Research and Modeling, 2012, vol. 4, no. 4, pp. 917-941
DOI: 10.20537/2076-7633-2012-4-4-917-941
URL: http://crm-en.ics.org.ru/journal/article/1967/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
According to Crossref, this article is cited by:
  • Elena Anatolievna Pogorelova, Alexey I. Lobanov, Lin Aung. Mathematical models for blood clot growth based on "advection-diffusion" and Fokker-Planck equations. // Computer Research and Modeling. — 2014. — V. 6, no. 2. — P. 271. DOI: 10.20537/2076-7633-2014-6-2-271-283
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