RUI: High Performance Parallel/Distributed Computing for Numerical Algorithms, Software and Scientific Applications

RUI：用于数值算法、软件和科学应用的高性能并行/分布式计算

• 批准号: 9400719
• 负责人: Richard Sincovec
• 金额: $ 8.38万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-12-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9400719&HistoricalAwards=false
• 关键词: RUI; Performance; Parallel; Distributed; Computing

This project focuses on three important problem areas high performance parallel/distributed computing: 1) designing, analyzing, implementing and testing several groups of structured methods for solutions of large sparse nonlinear systems of equations on parallel and systems; 2) applying numerical algorithms to solve large real-world problems; and 3) studying execution patterns of scientific application programs for effective parallel program and architecture design.

该项目重点关注高性能并行/分布式计算的三个重要问题领域：1）设计、分析、实现和测试多组结构化方法，用于解决并行和系统上的大型稀疏非线性方程组； 2）应用数值算法解决大型现实问题； 3）研究科学应用程序的执行模式，以实现有效的并行程序和架构设计。