Abstract
Computational heart-tissue models envelope the solution of non-linear partial and ordinary differential equations. After applying certain discretization methods (finite difference, finite elements) to them for its solution, result in a set of operations between matrices in the order of millions. The outcome of this are programs with high execution times.
The current work simulates a human atrium tissue using the Courtemanche electrical model [1]. The cell pairing is made using the finite difference method and its computational implementation was made using the Armadillo C++ library [2], for the CPU version and the acceleration was made through the CUDA library [3] on a nVidia Tesla K40 card.
Additionally the visualization process was made using Paraview-Catalyst [4], two computing nodes permits that the execution process of the numerical method runs on a node while the other node makes the visualization simultaneously.
A novel process to make atrium human visualizations was implemented, a 200X acceleration was achieved using CUDA and Arrayfire [5].
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Osorio, J.H., Castano, A.P., Henao, O., Hincapie, J. (2019). In-situ Visualization of the Propagation of the Electric Potential in a Human Atrial Model Using GPU. In: Meneses, E., Castro, H., Barrios Hernández, C., Ramos-Pollan, R. (eds) High Performance Computing. CARLA 2018. Communications in Computer and Information Science, vol 979. Springer, Cham. https://doi.org/10.1007/978-3-030-16205-4_6
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