Towards blood flow in the virtual human: efficient self-coupling of HemeLB

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