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

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:
$35.0万
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
项目状态:
已结题
起止时间:
2001-09-15 至 2006-08-31

项目摘要

项目成果

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中文摘要
翻译
EIA-0103610大卫帕多瓦大学关于IllinoisNGS:合作研究:一个用于广域网计算的OpenMP环境本提案的目标是开发一个新的编程系统,通过使用SMP的新兴标准(OpenMP),并开发编译器和运行时支持,使在分布式平台上使用OpenMP具有优化的性能,从而缩小SMP编程和联网计算机集群之间存在的差距。 建议的编程系统将使人们有可能使用OpenMP,共享内存编程的新兴标准的网格和联网的计算机系统进行编程。 PI期望在执行用于收集并网计算机的OpenMP程序时实现高效率。 通过静态和动态编译技术,我们希望利用目标环境的复杂性和负载波动。
英文摘要
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.
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会议论文
XPS: FULL: FP: Collaborative Research:Advancing autovectorization
Collaborative Research: Conceptualizing an Institute for Using Inter-Domain Abstractions to Support Inter-Disciplinary Applications
EAGER: A Study of the Limitations of Program Analysis for Autovectorization
CSR: Large: Collaborative Research: Kali: A System for Sequential Programming of Multicore Processors
海外基金