Compiling with Persistence

持久化编译

• 批准号: 9711673
• 负责人: Antony Hosking
• 金额: $ 18.5万
• 依托单位: Purdue Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-01 至 2000-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9711673&HistoricalAwards=false
• 关键词: Compiling; Persistence

The Compass project is charting a course towards cooperative compiler and run-time support for applications that manage large bodies of long-lived, shared, structured data. The project integrates programming language and database functionality to provide orthogonal data persistence, enabling the construction of more reliable data-intensive applications, but without compromising performance. Performance is obtained through application of modern compilation techniques to the problems of persistence, including static analysis and run-time profiling, to derive knowledge of application-specific behavior which can then be exploited by both the compiler, for program optimization, and the run-time system, for efficient data management. Compass project goals include development, integration and evaluation of new language-independent compiler analyses and optimizations for persistence, with associated run-time strategies for persistent object management. These techniques are being evaluated empirically through development of prototype persistent languages and systems, compilation of benchmark persistent applications, and measurement of application performance. The compilation and run-time strategies derive much of their power from treatment of the entire persistent application system, consisting of both stored persistent code and data, for "whole-application" analysis and optimization.

Compass项目正在为管理大量长期、共享、结构化数据的应用程序提供协作式编译器和运行时支持。该项目集成了编程语言和数据库功能，以提供正交数据持久性，从而能够构建更可靠的数据密集型应用程序，但不会影响性能。通过将现代编译技术应用于持久性问题来获得性能，包括静态分析和运行时分析，以获得特定于应用程序的行为的知识，然后编译器和运行时系统都可以利用这些知识来进行程序优化，以进行有效的数据管理。Compass项目的目标包括开发、集成和评估新的独立于语言的编译器分析和持久化优化，以及相关的持久化对象管理运行时策略。通过开发原型持久化语言和系统、编译基准持久化应用程序以及测量应用程序性能，对这些技术进行了经验评估。编译和运行时策略的大部分功能来自对整个持久化应用程序系统的处理，包括存储的持久化代码和数据，用于“整个应用程序”的分析和优化。