NGS: Collaborative Research: An OpenMp Environment for Wide-Area Networked Computing

NGS：协作研究：用于广域网络计算的 OpenMp 环境

• 批准号: 0103610
• 负责人: David Padua
• 金额: $ 35万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0103610&HistoricalAwards=false
• 关键词: NGS; Collaborative; Research; OpenMp; Environment

EIA-0103610David PaduaUniv. of IllinoisNGS: Collaborative Research: An OpenMP Environment for Wide-Area Network ComputingThe objective of this proposal is to develop a new programming system that will close the gap that exists between programming SMPs and networked computer clusters, by using the emerging standard (OpenMP) for SMPs and develop compiler and runtime support that will enable using OpenMP on distributed platforms with optimized performance. The proposed programming system will make it possible to program the Grid and networked computer systems using OpenMP, the emerging standard for shared-memory programming. The PI expects to attain high efficiency in the execution of OpenMP programs for collection of Grid-connected computers. Through static and dynamic compiler techniques, we expect to harness the complexity and load fluctuations of the target environment.

EIA-0103610大卫帕多瓦大学。伊利诺伊州NGS：协作研究：用于广域网计算的 OpenMP 环境 该提案的目标是开发一种新的编程系统，通过使用新兴标准 (OpenMP) 来缩小 SMP 编程和网络计算机集群之间存在的差距。 SMP 并开发编译器和运行时支持，以便能够在分布式平台上使用 OpenMP 并优化性能。 所提出的编程系统将使得使用 OpenMP（共享内存编程的新兴标准）对网格和网络计算机系统进行编程成为可能。 PI 希望在执行 OpenMP 程序以收集并网计算机时获得高效率。 通过静态和动态编译技术，我们期望利用目标环境的复杂性和负载波动。