CSR-AES: The Adaptive Code Kitchen: Flexible Approaches to Dynamic Application Composition

该项目提供了下一代编程工具，使复杂的、自适应的软件系统的组合构建成为可能。顾名思义，自适应代码厨房是一个松散的功能集合，应用科学家可以通过它指定和实现针对本机对象代码的适应性“配方”。这些功能包括函数拦截、延续修改、动态进程检查点和回滚，以及运行时推荐。该项目开发了支持这些功能的编译时和运行时基础设施，还开发了一个标准自适应模式的食谱，可以对其进行实例化，以涵盖广泛的自适应可能性。使用自适应代码厨房，应用程序科学家可以合并本地对象代码库，指定问题/任务边界，将应用程序组织成相关功能的云，实例化提供的自适应模式之一，并通过交互式监视器跟踪应用程序的进度。作为一个领域的案例研究，该项目研究了计算流体动力学模拟，特别是湍流的建模。除了提高对应用程序组合系统的理解外，自适应代码厨房项目的影响还体现在领域环境和教育推广方面。由自适应代码厨房支持的湍流的精确建模和预测，特别是在飞机、船舶和汽车中，可以在减少能源消耗方面产生重大影响。此外，研究人员将在弗吉尼亚理工大学提供短期课程，展示这里开发的技术的使用，并以这种方式为校园内的领域科学家提供他们构建自己的适应性应用所需的培训和专业知识。

This project provides next generation programming tools that enablecompositional construction of complex, adaptive, software systems. As thename connotes, the adaptive code kitchen is a loose collection of capabilitiesby which an application scientist can specify and realize "recipes" ofadaptivity around native object codes. These capabilities include functioninterception, continuation modification, dynamic process checkpointing androllback, and runtime recommendation. The project develops both the compile-time and runtime infrastructure enabling these capabilities and also a cookbook of standard adaptivity schemas, which can be instantiated to cover a wide range of adaptation possibilities. Using the adaptive code kitchen, the application scientist can incorporate libraries of native object codes, specify problem/task boundaries, organize his application into clouds of related functions, instantiate one of the supplied adaptivity schemas,and track the application's progress through an interactive monitor. As a domain case study, the project investigates computational fluid dynamics simulations, especially the modeling of turbulence. Besides improved understanding of application composition systems, the impacts of the adaptive code kitchen project are in both the domain context and in educational outreach. The accurate modeling and prediction of turbulent flows, especially in airplanes, ships, and automobiles, as supported by the adaptive code kitchen can have a major impact in reducing energy consumption. In addition, the investigators will offer short-term courses at Virginia Tech showcasing the use of the techniques developed here and, in this manner, give domain scientists across campus the training and expertise they need to construct their own adaptive applications.