报告题目：Recent Progress on HPC Algorithms for Blood Flow Simulations and Applications
报 告 人：陈荣亮 研究员 中国科学院深圳先进技术研究院
报告时间：2022年5月5日 上午9：30-11：00
报告地点：腾讯会议ID：471 668 049
或点击链接入会https://meeting.tencent.com/dm/JRhgJ7iKUbHt
校内联系人：叶挺 yeting@jlu.edu.cn
报告摘要：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 precent some of our recent results on blood flow simulations with patient-specific geometry and parameters on large-scale supercomputers. 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.
报告人简介：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。
