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.

该提案将展示专门研究CERBROBASCULATION的软件基础设施。这个问题非常重要，并且是多个科学分支中遇到的许多多尺度多物理问题的典型特征。调查人员将重点关注该项目：？可扩展的连续模型使用其高度准确的HP自适应光谱元素代码Nektar？随机连续/原子建模（LAMMPS-DPD）； ？多级并行性，最后，通过执行Teragrid-Deisa网格计算的试点来制定跨多个网格的计算。