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the computational demands of simulating the full 3d human flow are high. grafton et al. [ 6 ] estimated that the total computational load is on the order of 4 pflop/s/node. we demonstrate an improvement of around 2x in this problem. the results are obtained on clusters of 128 cores on an ibm blue gene/q. the code is scalable to large-scale and highly parallel simulations.

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“ it can be concluded that the most significant advantage of a 3d model is that it allows the measurement of the wall thickness and the shape of the vessel, which are not possible in a 1d model. another advantage of a 3d model is that it can be used to examine the velocity and flow pattern along the length of the vessel and to simulate the flow in each and every vessel. when using a 3d model, it is possible to modify the model so that blood velocity can be altered at all times, rather than having to be set from time to time. the advantage of using a 3d model in comparison to a model containing a 1d solution is that it can be used to examine the flow properties in an artery according to the varying blood velocity. it is possible to examine the effect of the blood velocity on the wall shear stress at different locations along the vessel and to examine the velocity distribution along the length of the vessel.”

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several studies have highlighted the utility of the lattice boltzmann method for simulating flows in multiple directions. in this paper, we describe the implementation of a hemodynamic solver, hemelb, in openmpi. in addition to enabling scalability, the support for multiple solvers and multiple mpi processes helps with the implementation of self-coupling at the lowest level of the code. this requires parallel momentum and mass transfers between neighboring subdomains (domains), between processes, and within the solvers. the resulting enhancements in memory and communication behaviours make it possible to run large-scale simulations of the 3d blood flow in realistic geometry on hundreds of thousands of processors in one go, even when simulating multiple simulated vascular trees. this work also outlines the design and construction of a complete 3d human-specific flow model. to show the results of our current progress, we perform three major experiments. the first involves simulating the flow through a human-scale arterial tree. the second is the simulation of the flow within a human-scale venous tree. these studies are not intended to be detailed, but are intended to illustrate the current capabilities of hemelb and demonstrate the ability to run large-scale simulations. the third experiment involves the implementation of self-coupling in hemelb. we describe the new components of the physics model, and the effect that this has on performance, and demonstrate the proof-of-concept of simultaneous arterial and venous tree flow using a small portion of the arterial tree of a human. this work is the first step towards simulating a full virtual human.