Partitioning of Arterial Tree for Parallel Decomposition of Hemodynamic Calculations
| Authors |
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| Publication date | 2016 |
| Journal | Procedia Computer Science |
| Event | International Conference on Computational Science 2016 |
| Volume | Issue number | 80 |
| Pages (from-to) | 977–987 |
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| Abstract |
Modeling of fluid mechanics for the vascular system is of great value as a source of knowledge about development, progression, and treatment of cardiovascular disease. Full three-dimensional simulation of blood flow in the whole human body is a hard computational problem. We discuss parallel decomposition of blood flow simulation as a graph partitioning problem. The detailed model of full human arterial tree and some simpler geometries are discussed. The effectiveness of coarse-graining as well as pure spectral approaches is studied. Published data can be useful for development of parallel hemodynamic applications as well as for estimation of their effectiveness and scalability.
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| Document type | Article |
| Note | Proceedings title: International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA. Edited by Ilkay Altintas, Michael Norman, Jack Dongarra, ValeriaV. Krzhizhanovskaya, Michael Lees, Peter M.A. Sloot. |
| Language | English |
| Published at | https://doi.org/10.1016/j.procs.2016.05.393 |
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Partitioning of Arterial Tree for Parallel Decomposition of Hemodynamic Calculations
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