Database Support For Scientific Computing

科学数据类型显示出在所有计算机系统级别支持科学计算的前景，从编程和可视化任务，到编译器和数据库技术，再到操作系统。该项目不是在每一级都有不同的数据类型机制，而是集中于跨汇编、数据管理和操作系统各级的协调方法，以数据库对科学数据类型的支持为中心。该项目的关键方面是开发和部署混合数据管理器，作为跨这些层的协调数据类型支持的快速试验的软件基础。HDM使用面向对象的数据库技术为驻留在其他存储系统中的数据类型实例构建强大的前端。现有数据集以及新创建的对象将使用阶段性方法来支持，这种方法可以为现有代码提供一些支持，同时为新创建的应用程序提供完整的数据类型支持。该项目的一个重要阶段是在当前使用的两个科学领域--计算分子化学和材料科学中的微结构性质预测--的应用上部署HDM。在这个项目中获得的经验将为新一代数据库系统的设计提供投入，这些系统将更好地支持科学应用程序的空间和建模需求，并与编译器和操作系统组件紧密结合，以提高性能。

Scientific data types show promise for support of scientific computing at all computer system levels, from programming and visualization tasks, through compiler and database technology, to operating systems. Rather than having a distinct data type mechanism at each level, this project concentrates on a coordinated approach across the levels of compiling, data management and operating systems, centered on database support for scientific data types. Key aspects of the project are the development and deployment of a Hybrid Data Manager as a software substrate for rapid experimentation in coordinated data type support across these layers. The HDM uses object-oriented database technology to build a powerful front end for data type instances residing in other storage systems. Existing datasets, as well as newly created objects are to be supported using a staged approach that can lend some support to existing codes while providing full data type support for newly created applications. An important phase of the project is the deployment of the HDM on applications in current use in two scientific domains, computational molecular chemistry and microstructure property predictions in materials science. The experience gained in this project will provide input in the design of a new generation of database systems that will better support the space and modeling demands of scientific applications as well as integrate tightly with compiler and operating system components for increased performance.