Recent Progress on HPC Algorithms for Blood Flow Simulations and Applications

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:陈荣亮(中国科学院深圳先进技术研究院)
:2022-04-27 10:00
:腾讯会议ID:894935284(无密码)

报告人:陈荣亮(中国科学院深圳先进技术研究院)

时  间:427日上午10:00

地  点:腾讯会议ID894935284(无密码)

内容摘要:

Patient-specific blood flow simulations have the potential to provide quantitative predictive tools for virtual surgery, treatment planning, and risk stratification. To accurately resolve the blood flows based on the patient-specific geometry and parameters is still a big challenge because of the complex geometry and the turbulence, and it is also important to obtain the results in a short amount of computing time so that the simulation can be used in surgery planning. In this talk, we will present some recent results of blood flow simulations with patient-specific geometry and parameters on a large-scale supercomputer. Several mathematical, biomechanical, and supercomputing issues will be discussed in detail. We will also report the parallel performance of the methods on a supercomputer with a large number of processors.

人简介:

陈荣亮,博士,中国科学院深圳先进技术研究院副研究员,深圳市E 级工程与科学计算实验室副主任。湖南大学计算数学学士(2006.07),湖南大学和美国科罗拉多大学联合培养博士(2012.07)。主要从事面向工程应用的并行算法、软件及应用研究。研究领域涉及到人体血流模拟,航空航天飞行器气动模拟,汽车、高速列车和大型风能发电的气动优化设计,城市污染物扩散模拟,高层建筑抗震分析等。目前已发表高水平学术论文五十余篇,主持国自然国际(地区)合作项目、国家重点研发计划国际合作重点专项、深圳市基础研究重点项目、深圳市优秀青年基金等十余项国家和地方级科研项目。

 

联系人:陈黄鑫