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Toward GPGPU accelerated human electromechanical cardiac simulations.

Vigueras G, Roy I, Cookson A, Lee J, Smith N, Nordsletten D - Int J Numer Method Biomed Eng (2013)

Bottom Line: Specifically, we port to the GPU a number of components of CHeart--a CPU-based finite element code developed for simulating multi-physics problems.Speedup of up to 72 × compared with SC and 2.6 × compared with MC was also observed for the PDE solve.Using the same human geometry, the GPU implementation of mechanics residual/Jacobian computation provided speedups of up to 44 × compared with SC and 2.0 × compared with MC.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, King's College London, UK.

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(a) and (b) Electrical activity propagation in a human left ventricular mesh at different simulation stages represented by a color map from dark blue ( − 86) to red (35); (c) activation times represented by a color map from dark blue (0) to red (75) and contour bands.
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fig04: (a) and (b) Electrical activity propagation in a human left ventricular mesh at different simulation stages represented by a color map from dark blue ( − 86) to red (35); (c) activation times represented by a color map from dark blue (0) to red (75) and contour bands.

Mentions: Figure 3(a,b) shows the propagation of the membrane potential in the benchmark mesh with resolution 0.2 mm at two different stages when using the GPU. Figure 3 shows the activation times for the same resolution, represented by a color map and contour bands. Figure 4(a,b) shows the propagation of the membrane potential in the human left ventricular mesh at different stages when using the GPU. Figure 4 shows the activation times for the same mesh, represented by a color map and contour bands.


Toward GPGPU accelerated human electromechanical cardiac simulations.

Vigueras G, Roy I, Cookson A, Lee J, Smith N, Nordsletten D - Int J Numer Method Biomed Eng (2013)

(a) and (b) Electrical activity propagation in a human left ventricular mesh at different simulation stages represented by a color map from dark blue ( − 86) to red (35); (c) activation times represented by a color map from dark blue (0) to red (75) and contour bands.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4016759&req=5

fig04: (a) and (b) Electrical activity propagation in a human left ventricular mesh at different simulation stages represented by a color map from dark blue ( − 86) to red (35); (c) activation times represented by a color map from dark blue (0) to red (75) and contour bands.
Mentions: Figure 3(a,b) shows the propagation of the membrane potential in the benchmark mesh with resolution 0.2 mm at two different stages when using the GPU. Figure 3 shows the activation times for the same resolution, represented by a color map and contour bands. Figure 4(a,b) shows the propagation of the membrane potential in the human left ventricular mesh at different stages when using the GPU. Figure 4 shows the activation times for the same mesh, represented by a color map and contour bands.

Bottom Line: Specifically, we port to the GPU a number of components of CHeart--a CPU-based finite element code developed for simulating multi-physics problems.Speedup of up to 72 × compared with SC and 2.6 × compared with MC was also observed for the PDE solve.Using the same human geometry, the GPU implementation of mechanics residual/Jacobian computation provided speedups of up to 44 × compared with SC and 2.0 × compared with MC.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, King's College London, UK.

Show MeSH
Related in: MedlinePlus