TY - JOUR
T1 - Patient-specific modelling of pulmonary airflow using GPU cluster for the application in medical practice
AU - Miki, T.
AU - Wang, X.
AU - Aoki, T.
AU - Imai, Y.
AU - Ishikawa, T.
AU - Takase, K.
AU - Yamaguchi, T.
PY - 2012/7
Y1 - 2012/7
N2 - In this paper, we propose a novel patient-specific method of modelling pulmonary airflow using graphics processing unit (GPU) computation that can be applied in medical practice. To overcome the barriers imposed by computation speed, installation price and footprint to the application of computational fluid dynamics, we focused on GPU computation and the lattice Boltzmann method (LBM). The GPU computation and LBM are compatible due to the characteristics of the GPU. As the optimisation of data access is essential for the performance of the GPU computation, we developed an adaptive meshing method, in which an airway model is covered by isotropic subdomains consisting of a uniform Cartesian mesh. We found that 4 3 size subdomains gave the best performance. The code was also tested on a small GPU cluster to confirm its performance and applicability, as the price and footprint are reasonable for medical applications.
AB - In this paper, we propose a novel patient-specific method of modelling pulmonary airflow using graphics processing unit (GPU) computation that can be applied in medical practice. To overcome the barriers imposed by computation speed, installation price and footprint to the application of computational fluid dynamics, we focused on GPU computation and the lattice Boltzmann method (LBM). The GPU computation and LBM are compatible due to the characteristics of the GPU. As the optimisation of data access is essential for the performance of the GPU computation, we developed an adaptive meshing method, in which an airway model is covered by isotropic subdomains consisting of a uniform Cartesian mesh. We found that 4 3 size subdomains gave the best performance. The code was also tested on a small GPU cluster to confirm its performance and applicability, as the price and footprint are reasonable for medical applications.
KW - high-performance computing
KW - lattice Boltzmann method
KW - multi-GPU computation
KW - patient-specific modelling
KW - pulmonary airflow simulation
UR - http://www.scopus.com/inward/record.url?scp=84862298225&partnerID=8YFLogxK
U2 - 10.1080/10255842.2011.560842
DO - 10.1080/10255842.2011.560842
M3 - Article
C2 - 21809944
AN - SCOPUS:84862298225
SN - 1025-5842
VL - 15
SP - 771
EP - 778
JO - Computer Methods in Biomechanics and Biomedical Engineering
JF - Computer Methods in Biomechanics and Biomedical Engineering
IS - 7
ER -