论文标题
虚拟人类的血液流动:止血带的有效自我偶联
Towards Blood Flow in the Virtual Human: Efficient Self-Coupling of HemeLB
论文作者
论文摘要
许多科学和医学研究人员正在努力创建一个虚拟人(一个个性化的人的个性化数字副本),这将有助于患者的诊断,治疗和康复。生活系统的复杂性质意味着这仍然是一个重大挑战。我们描述了启用止血带晶格玻尔兹曼代码的进展,以完整的人体尺度模拟3D宏观血流。内存管理和负载平衡方面的重大发展允许在数十万计算机内核上接近代码的线性缩放性能。对于虚拟人的构建不可或缺的一部分,我们还概述了对赫尔布的自我耦合策略的实施。这允许基于人类特异性几何形状同时模拟动脉和静脉血管树。
Many scientific and medical researchers are working towards the creation of a virtual human - a personalised digital copy of an individual - that will assist in a patient's diagnosis, treatment and recovery. The complex nature of living systems means that the development of this remains a major challenge. We describe progress in enabling the HemeLB lattice Boltzmann code to simulate 3D macroscopic blood flow on a full human scale. Significant developments in memory management and load balancing allow near linear scaling performance of the code on hundreds of thousands of computer cores. Integral to the construction of a virtual human, we also outline the implementation of a self-coupling strategy for HemeLB. This allows simultaneous simulation of arterial and venous vascular trees based on human-specific geometries.