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We propose a highly versatile computational framework for the simulation ofcellular blood flow focusing on extreme performance without compromisingaccuracy or complexity. The tool couples the lattice Boltzmann solver Palabosfor the simulation of the blood plasma, a novel finite element method (FEM)solver for the resolution of the deformable blood cells, and an immersedboundary method for the coupling of the two phases. The design of the toolsupports hybrid CPU-GPU executions (fluid, fluid-solid interaction on CPUs, theFEM solver on GPUs), and is non-intrusive, as each of the three components canbe replaced in a modular way. The FEM-based kernel for solid dynamicsoutperforms other FEM solvers and its performance is comparable to thestate-of-the-art mass-spring systems. We perform an exhaustive performanceanalysis on Piz Daint at the Swiss National Supercomputing Centre and providecase studies focused on platelet transport. The tests show that this versatileframework combines unprecedented accuracy with massive performance, renderingit suitable for the upcoming exascale architectures.

Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport