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 GPU-accelerated Immersed Boundary Method for the efficient simulation of biomedical fluid-structure interactions (Unpublished).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.

Item Type:

Conference or Workshop Item (Poster)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Cardiovascular Engineering (CVE)

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Zolfaghari, Hadi; Becsek, Barna Errol Mario and Obrist, Dominik

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

Language:

English

Submitter:

Hadi Zolfaghari

Date Deposited:

08 Jun 2017 13:03

Last Modified:

08 Jun 2017 13:03

BORIS DOI:

10.7892/boris.97099

URI:

https://boris.unibe.ch/id/eprint/97099

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