ITR Collaborative Research: A Reusable, Extensible, Optimizing Back End

ITR 协作研究：可重用、可扩展、优化的后端

• 批准号: 0838899
• 负责人: Norman Ramsey
• 金额: --
• 依托单位: Tufts University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0838899&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Reusable; Extensible

A computer program is written in a high-level *programming* *language*,but to be run, it must be translated into a *machine* *language*.A translator is difficult and expensive to build, and using today'stechniques, each programming language needs its own translator. Forexample, it is nearly impossible to use the same translator for both Javaand C++. The project is developing techniques by which a ``back end,''which understands machine language, can serve many different ``frontends,'' each of which understands a different programming language.Combining such front and back ends can produce a translator much morecheaply than is possible at present. The major new idea is to use*three* interfaces. The C-- language is an interface that enablesthe front end to tell the back end what a program should do. The C--run-time interface reveals decisions made by the back end so that thefront end can support such services as garbage collection and threads.The Cobalt language is an interface that enables the front end to tell theback end what special translation techniques are needed for efficiency ina particular language. These interfaces are supported by new, automatictechniques for eliminating potential errors in translation.

计算机程序是用高级*编程* *语言*编写的，但要运行，必须将其翻译成*机器* *语言*。构建翻译器既困难又昂贵，并且使用当今的技术，每种编程语言都需要自己的翻译器。 例如，对 Java 和 C++ 使用相同的翻译器几乎是不可能的。 该项目正在开发一种技术，通过该技术，理解机器语言的“后端”可以为许多不同的“前端”提供服务，每个“前端”都理解不同的编程语言。将这样的前端和后端结合起来可以产生一个翻译器比目前更便宜。 主要的新想法是使用*三个*接口。 C语言是一种接口，它使前端能够告诉后端程序应该做什么。 C--运行时接口揭示了后端做出的决策，以便前端可以支持垃圾收集和线程等服务。Cobalt语言是一个接口，使前端能够告诉后端需要哪些特殊的翻译技术为了提高特定语言的效率。 这些界面由新的自动技术支持，以消除翻译中的潜在错误。