Multiscale Models and Petaflops Simulations on the Human Brain Vascular Network

人脑血管网络的多尺度模型和千万亿次模拟

• 批准号: 0845449
• 负责人: George Karniadakis
• 金额: $ 15万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0845449&HistoricalAwards=false
• 关键词: Multiscale; Models; Petaflops; Simulations; Human

This proposal will demonstrate a software infrastructure specialized to study of cerbrovasculature. The problem is of great societal importance and is typical of a number of multiscale multiphysics problems encountered in multiple branches of science. The investigators will focus in this project on:? Scalable Continuum Models using their highly accurate hp adaptive spectral element code NEKTAR, ? Stochastic Continuum/Atomistic Modeling (LAMMPS-DPD); ? Multi-Level Parallelism, and, finally an effort to make computing across multiple grids by doing a pilot of TeraGrid-DEISA Grid Computing.

该提案将展示一个专门用于研究脑血管系统的软件基础设施。这个问题具有重要的社会意义，是在多个科学分支中遇到的许多多尺度多物理问题的典型。调查人员将在本项目中重点关注：可扩展的连续模型使用其高度准确的惠普自适应谱元素代码NEKTAR，？随机连续统/原子模型（LAMMPS-DPD）;多层次网格主义，最后，通过TeraGrid-DEISA网格计算的试点，努力实现跨多个网格的计算。