Dynamic languages: design, implementation and evaluation

软件行业越来越多地使用动态编程语言，如Python、Ruby、JavaScript、Lua和Program。这些语言提供了许多功能来简化可演化的复杂应用程序的开发：快速开发周期、自省、语言可扩展性、参数多态、高级别抽象等。它们在当前实现中的主要缺点是执行速度。拟议研究的长期目标是促进动态编程语言的有效实现，并评估它们在执行速度、内存使用和实现成本方面与静态语言相比的性能。我们的目标是开发实现技术，使它们在性能关键环境中具有竞争力。我们将调查四个方面的研究，以扩展我们目前的工作：

Increasingly, the software industry is making use of dynamic programming languages such as Python, Ruby, JavaScript, Lua, and Scheme. These languages offer many features which ease the development of evolvable complex applications: a rapid development cycle, introspection, language extensibility, parametric polymorphism, high level of abstraction, etc. Their main drawback in current implementations is their execution speed. The long term objective of the proposed research is to contribute to the efficient implementation of dynamic programming languages and evaluate how their performance compares to static languages in terms of execution speed, memory usage and implementation cost. Our goal is to develop implementation techniques which make them competitive in performance critical contexts. Four areas of research which extend our current work will be investigated: