Massively parallel models of the human circulatory system
Massively parallel models of the human circulatory system
复制标题
人体循环系统的大规模并行模型
DOI：
10.1145/2807591.2807676
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
John A. Gunnels
中科院分区：
文献类型：
--
作者：
A. Randles;E. Draeger;T. Oppelstrup;L. Krauss;John A. Gunnels
血流模拟对血管疾病患者的诊断和治疗的潜在影响是巨大的。全动脉树的赋能模型可以提供对动脉高血压等疾病的洞察，并使研究局部因素对全球血流动力学的影响成为可能。我们提出了一种新的、高度可扩展的格子Boltzmann方法的实现，该方法解决了诸如多尺度耦合、有限的存储容量和带宽以及复杂几何结构中的稳健负载平衡等关键挑战。我们在Blue gene/Q的1,572,864个核心上展示了系统动脉树中血流动力学的三维、高分辨率模拟的强大伸缩性。全动脉网络中更快的流量计算使患者能够实现前所未有的风险分层。为了追求这一目标，我们引入了计算进步，大大减少了生物流体模拟的求解时间。
The potential impact of blood flow simulations on the diagnosis and treatment of patients suffering from vascular disease is tremendous. Empowering models of the full arterial tree can provide insight into diseases such as arterial hypertension and enables the study of the influence of local factors on global hemodynamics. We present a new, highly scalable implementation of the lattice Boltzmann method which addresses key challenges such as multiscale coupling, limited memory capacity and bandwidth, and robust load balancing in complex geometries. We demonstrate the strong scaling of a three-dimensional, high-resolution simulation of hemodynamics in the systemic arterial tree on 1,572,864 cores of Blue Gene/Q. Faster calculation of flow in full arterial networks enables unprecedented risk stratification on a perpatient basis. In pursuit of this goal, we have introduced computational advances that significantly reduce time-to-solution for biofluidic simulations.
影响因子：
37.8
作者：
Joanne M. Murabito;Ralph B. D’Agostino;H. Silbershatz;Peter W.F. Wilson
通讯作者：
Joanne M. Murabito;Ralph B. D’Agostino;H. Silbershatz;Peter W.F. Wilson