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Simulation of electrical conduction in cardiac tissue on high performance computers

机译:在高性能计算机上模拟心脏组织中的导电

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We present computational methods for simulating electrical conduction in cardiac ventricles on parallel machines. We used the network model approach to describe the tissue geometry and biophysically detailed models of ion currents and membrane transporters in cardiac ventricular myocytes. Simulations of biophysically detailed ionic models with anatomically detailed tissue geometries are computationally very expensive. We investigated the use of high performance computers to reduce execution time. Experiments have shown that we can adapt and optimize our existing models of electrical activity in heart tissue for the high performance computers. The solution was implemented on the IBM/spl reg/ p690, a shared memory machine and on a cluster of workstations, a distributed memory machine. An efficient algorithm was designed to partition the data and to pass messages between processors using message passing interface (MPI). The algorithm was highly scalable to the problem size as well as the number of processors used, and could easily be ported to other parallel architectures. We were able to achieve speedup of up to 13.5 on the p690 and 27 on the cluster of workstations. Using the method developed, the simulated pattern of electrical activation agreed with the experimental data.
机译:我们提出了在并行机器上模拟心室电传导的计算方法。我们使用网络模型方法来描述心脏心室肌细胞中离子电流和膜转运蛋白的组织几何形状和生物物理详细模型。具有解剖学上详细的组织几何形状的生物物理上详细的离子模型的模拟在计算上非常昂贵。我们调查了高性能计算机的使用,以减少执行时间。实验表明,我们可以为高性能计算机改编和优化我们现有的心脏组织电活动模型。该解决方案是在IBM / spl reg / p690(共享存储计算机)和工作站集群(分布式存储计算机)上实现的。设计了一种有效的算法来对数据进行分区,并使用消息传递接口(MPI)在处理器之间传递消息。该算法可高度扩展到问题大小以及所使用的处理器数量,并且可以轻松地移植到其他并行体系结构中。在p690上,我们能够实现最高13.5的加速,而在工作站集群上,则可以达到27的加速。使用开发的方法,模拟的电激活模式与实验数据一致。

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