Collaborative Research: Performance-Driven Adaptive Software Design and Control

EIA-0127857Mary K. VernonUniversity of Wisconsin该项目的目标是开发在分布式计算系统上运行的复杂应用程序的性能导向集成设计和控制所需的工具。 它的目标计算系统是复杂的，包括困难的异构性，延迟和计算网格的自适应特性。 它的目标应用是计算科学的前沿：具有自适应特性的非常大型，复杂的应用程序，不允许在运行时间之前估计其最佳系统配置或计算要求。 每个应用程序将被视为一个组成部分，与一个正式的，高保真度的性能模型，为每个组件设计。 该方法是使用基于模型的自适应运行时控制，这些组成的性能模型的基础上，控制应用程序的执行，以满足指定的性能目标。 该控制策略将对参数进行实时更改，从而修改应用程序和计算平台的行为。

EIA-0127857Mary K. VernonUniversity of WisconsinThe goal of this project is to develop the tools needed for performance-directed integrated design and control of complex applications running on distributed computational systems. Its target computational systems are complex, incorporating the difficult heterogeneity, latency, and adaptive properties of computational grids. Its target applications are at the cutting edge of computational science: very large, complex applications with adaptive characteristics that do not allow their optimal system configurations or computational requirements to be estimated prior to run time. Each application will be viewed as a composition of components, with a formal, high fidelity model of performance to be designed for each component. The approach is to use model-based adaptive run-time control, based on these composed performance models, to control the execution of the application to meet specified performance goals. The control strategy will make real-time changes to parameters that modify the behavior of both application and computational platform.