%0 Journal Article
%A McCullough, J. W. S.
%A Richardson, R. A.
%A Patronis, A.
%A Halver, R.
%A Marshall, R.
%A Ruefenacht, M.
%A Wylie, B. J. N.
%A Odaker, T.
%A Wiedemann, M.
%A Lloyd, B.
%A Neufeld, E.
%A Sutmann, Godehard
%A Skjellum, A.
%A Kranzlmüller, D.
%A Coveney, P. V.
%T Towards blood flow in the virtual human: efficient self-coupling of HemeLB
%J Interface focus
%V 11
%N 1
%@ 2042-8901
%C London
%I Royal Society Publishing
%M FZJ-2020-05255
%P 20190119 -
%D 2021
%X Many scientific and medical researchers areworking towards the creation of avirtual human—a personalized digital copy of an individual—that will assistin a patient’s diagnosis, treatment and recovery. The complex nature of livingsystems means that the development of this remains a major challenge. Wedescribe progress in enabling the HemeLB lattice Boltzmann code to simulate3D macroscopic blood flowon a full human scale. Significant developments inmemory management and load balancing allow near linear scaling performanceof the code on hundreds of thousands of computer cores. Integral tothe construction of a virtual human, we also outline the implementation of aself-coupling strategy for HemeLB. This allows simultaneous simulation ofarterial and venous vascular trees based on human-specific geometries.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 33335704
%U <Go to ISI:>//WOS:000600128700002
%R 10.1098/rsfs.2019.0119
%U https://juser.fz-juelich.de/record/888841