GPU-accelerated Immersed Boundary Method for the efficient simulation of biomedical fluid-structure interactions

Zolfaghari, Hadi; Becsek, Barna Errol Mario; Nestola, Maria; Krause, Rolf; Obrist, Dominik (10 June 2016). GPU-accelerated Immersed Boundary Method for the efficient simulation of biomedical fluid-structure interactions (Unpublished). In: PASC16 Conference. Lausanne, Switzerland. 08.-10.06.2016.

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Immersed boundary methods have become the most usable and useful tools for simulation of
biomedical fluid-structure interaction, e.g., in the aortic valve of human heart. In such problems,
complex geometry and motion of the soft tissue impose significant computational cost for bodyfitted-
mesh methods. Resorting to a fixed Eulerian grid for the flow simulation along with the
immersed boundary method to model the interaction with the soft tissue eliminates the expensive
mesh generation and updating costs. Nevertheless, the computational cost for the geometry
operations including adaptive search algorithms are still significant. Herein, we implemented the
immersed boundary kernels with CUDA to be transferred and executed on thousands of parallel
threads on the general purpose GPU. Host-device memory optimisation along with optimal usage
of GPU multiprocessors results in a boosted performance in fluid-structure interaction simulation.

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