Innovative High Performance Distributed Computing Research and Education: Parallel Algorithms,Libraries,Computational Models, and Distributed Services: CAREER

创新的高性能分布式计算研究和教育：并行算法、库、计算模型和分布式服务：职业

• 批准号: 9501917
• 负责人: Anthony Skjellum
• 金额: $ 9.63万
• 依托单位: Mississippi State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 1998-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9501917&HistoricalAwards=false
• 关键词: Innovative; Performance; Distributed; Computing; Research

9501917 Skjellum This works seeks to elaborate the two main areas of long-term commitment by the Principle Investigator (PI): parallel scientific algorithm/library design, and message-passing mechanisms for high performance distributed computing. As applications drive requirements for high-performance libraries, and services (like message passing, parallel I/O), so a strong vertical integration of application, libraries, and services presents itself. This research will be unique and of importance because it works to manage the complexity and integration of applications, libraries, and services while considering portability and performance.

9501917 Skjellum本作品旨在阐述主要研究者（PI）长期承诺的两个主要领域：并行科学算法/库设计和高性能分布式计算的消息传递机制。 由于应用程序推动了对高性能库和服务（如消息传递、并行I/O）的需求，因此应用程序、库和服务的强大垂直集成就应运而生了。这项研究将是独特的和重要的，因为它的工作管理的复杂性和集成的应用程序，库和服务，同时考虑到可移植性和性能。