지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Cardiac electrophysiology studies often use simulation to predict how cardiac will behave under various conditions. To observe the cardiac tissue movement, it needs to use the high--resolution heart mesh with a sophisticated and large number of nodes. The higher resolution mesh is, the more computation time is needed. To improve computation speed and performance, parallel processing using multi-core processes and network computing resources is performed. In this study, we compared the computational speeds of CPU parallelization and GPU parallelization in virtual heart simulation for efficiently calculating a series of ordinary differential equations (ODE) and partial differential equations (PDE) and determined the optimal CPU and GPU parallelization architecture. We used 2D tissue model and 3D ventricular model to compared the computation performance. Then, we measured the time required to the calculation of ODEs and PDEs, respectively. In conclusion, for the most efficient computation, using GPU parallelization rather than CPU parallelization can improve performance by 4.3 times and 2.3 times in calculations of ODEs and PDE, respectively. In CPU parallelization, it is best to use the number of processors just before the communication cost between each processor is incurred.
목차
등록된 정보가 없습니다.
참고문헌 (24)
참고문헌 신청
Trayanova NA / 2011 / Whole-Heart Modeling / Circ. Res 108(1):113~128
Niederer SA / 2019 / Computational models in cardiology / Nat. Rev. Cardiol 16(2):100~111
Courtemanche M / 1998 / Ionic mechanisms underlying human atrial action potential properties: Insights from a mathematical model / Am. J. Physiol. - Hear. Circ. Physiol. 275(1):301~321
Ten Tusscher KHWJ / 2006 / Alternans and spiral breakup in a human ventricular tissue model / Am. J. Physiol. Circ. Physiol 291(3):1088~1100
O’Hara T / 2011 / Simulation of the undiseased human cardiac ventricular action potential: Model formulation and experimental validation / PLoS Comput. Biol. 7(5):1~29
Niederer SA / 2019 / Computational models in cardiology / Nat. Rev. Cardiol 16(2):100~111
Courtemanche M / 1998 / Ionic mechanisms underlying human atrial action potential properties: Insights from a mathematical model / Am. J. Physiol. - Hear. Circ. Physiol. 275(1):301~321
Ten Tusscher KHWJ / 2006 / Alternans and spiral breakup in a human ventricular tissue model / Am. J. Physiol. Circ. Physiol 291(3):1088~1100
O’Hara T / 2011 / Simulation of the undiseased human cardiac ventricular action potential: Model formulation and experimental validation / PLoS Comput. Biol. 7(5):1~29
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