SCI: Collaborative Research: The NSF Cyberinfrastructure Evaluation Center

该项目的目标是通过创建和验证战略NSF计算科学应用程序的性能模型，并通过评估替代硬件，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架构复杂性，应用程序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实现峰值硬件性能的相当部分的应用程序、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的先决条件。然后使用通过这种表征开发的模型来评估新系统的替代配置，从SDSC的BG/L和PSC的红色风暴开始。建模方法，然后将扩展到包括其他系统，并评估网格启用的应用程序的性能。

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.