Abstract | ||
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The understanding of biological processes, e.g. related to cardio-vascular disease and treatment, can significantly be improved by numerical simulation. In this paper, we present an approach for a multiscale simulation environment, applied for the prediction of in-stent re-stenos is. Our focus is on the coupling of distributed, heterogeneous hardware to take into account the different requirements of the coupled sub-systems concerning computing power. For such a concept, which is an extension of the standard multiscale computing approach, we want to apply the term Distributed Multiscale Computing. |
Year | DOI | Venue |
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2011 | 10.1109/eScienceW.2011.19 | e-Science Workshops |
Keywords | DocType | ISBN |
multiscale simulation,biological process,multiscale computing,standard multiscale computing approach,biological processes,different requirement,computing power,heterogeneous hardware,multiscale simulation environment,numerical simulation,in-stent re-stenos,distributed processing,numerical analysis,lattice boltzmann | Conference | 978-1-4673-0026-1 |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jorg Bernsdorf | 1 | 1 | 0.36 |
Guntram Berti | 2 | 42 | 6.34 |
Bastien Chopard | 3 | 503 | 102.87 |
Jan Hegewald | 4 | 70 | 5.33 |
Manfred Krafczyk | 5 | 96 | 16.63 |
Dinan Wang | 6 | 19 | 3.55 |
Eric Lorenz | 7 | 77 | 8.19 |
Alfons Hoekstra | 8 | 118 | 15.17 |