SCI: Collaborative Research: The NSF Cyberinfrastructure Evaluation Center

SCI：合作研究：NSF 网络基础设施评估中心

• 批准号: 0516162
• 负责人: Allan Snavely
• 金额: --
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0516162&HistoricalAwards=false
• 关键词: SCI; Collaborative; Research; NSF; Cyberinfrastructure

The goal of this project is to advance the development and deployment of cyberinfrastructure by creating and validating performance models of strategic NSF computational science applications and by assessing the interdependence of alternative hardware, middleware, and software implementations on application performance. Performance models are parameterized functions that predict performance based on system and application attributes. Given current and projected architectural complexity, application performance increasingly depends on subtle, complex machine/code interactions. Understanding and modeling this complexity is a prerequisite to designing applications that achieve substantial fractions of peak hardware performance, configuring systems to match application needs, and designing more effective architectures.This effort will characterize the existing NSF supercomputing application workload; then to use the models developed via this characterization to evaluate alternative configurations of new systems, starting with SDSC's BG/L and PSC's Red Storm. The modeling methodology will then be extended to encompass additional systems and to assess the performance of Grid-enabled applications.

该项目的目标是通过创建和验证战略性NSF计算科学应用程序的性能模型，以及通过评估替代硬件、中间件和软件实现对应用程序性能的相互依赖性，来推进网络基础设施的开发和部署。性能模型是基于系统和应用程序属性预测性能的参数化函数。考虑到当前和预计的体系结构复杂性，应用程序的性能越来越依赖于微妙、复杂的机器/代码交互。理解和建模这种复杂性是设计应用程序的先决条件，这些应用程序可以达到峰值硬件性能的很大一部分，配置系统以匹配应用程序需求，以及设计更有效的体系结构。这项工作将描述现有的NSF超级计算应用程序工作负载；然后使用通过该特性开发的模型来评估新系统的备选配置，从SDSC的BG/L和PSC的Red Storm开始。然后，建模方法将扩展到包含其他系统，并评估支持网格的应用程序的性能。