Flexible Architecture for Analysis of Water Control Structures

Scientific computing involves the development, analysis, and execution of computational algorithms to solve mathematical problems from science and engineering. Effective implementation of these algorithms on highperformance computers requires knowledge and techniques from mathematics, statistics, and several areas in computer science including parallel computing, compilers, and theory. Although hydrologic field engineers have a wide array of research tools to use, they face the problem that all of these tools are loosely coupled. In this paper, we propose a new framework to solve these problems. The framework is scalable and extensible, and it can be used to execute jobs either locally and on a cluster as needed. A canonical hydrograph format is defined using eXtensible Markup Language (XML) format to exchanging flow information between disparate software packages, and translators are developed to convert between formats.