II-EN: Collaborative Research: Positioning MLton for Next-Generation Programming Languages Research

II-EN：协作研究：为下一代编程语言研究定位 MLton

• 批准号: 1405614
• 负责人: Lukasz Ziarek
• 金额: $ 38.16万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1405614&HistoricalAwards=false
• 关键词: II; EN; Collaborative; Research; Positioning

MLton is an open-source, whole-program, optimizing compiler for the Standard ML programming language. As with any large and mature software system, there is a need to evaluate the design and architecture of the MLton software project, and to make any substantive changes required for continued research and development. This Computing Research Infrastructure project supports enhancements to position MLton as a vehicle for research in programming-language design and implementation. These enhancements will directly support research, while providing students and next-generation of researchers with a software development experience in the context of a production-level compiler, a complex software system that draws together many themes of Computer Science education, and encourages critical thinking. Finally, these enhancements will indirectly support both the broader programming-languages research community and industry software developers that use functional programming languages. The broader impacts of the project will be in training of student research assistants at all levels, the development of documentation and course materials for teaching compiler-related topics using the MLton infrastructure, and the continued support for MLton's industrial and academic users.Specific infrastructure enhancements will include development of type-checking and optimization infrastructures, threading and garbage collection frameworks, configuration and benchmarking support systems, and documentation including course material. These enhancements will directly support research exploring whole-program compilation of next-generation language features (such as first-class polymorphism, generalized algebraic data types, and higher-order polymorphism) and research exploring programming for next-generation execution platforms (such as multi-core parallel systems, real-time embedded systems, and cloud-based distributed systems). One significant goal is to provide a single research vehicle that is easily configurable to scientifically compare and contrast research results, thereby enabling researchers to make stronger claims based on more meaningful comparisons, rather than relying on weaker claims across multiple system stacks.

MLTON是标准ML编程语言的开源，全程序，优化编译器。与任何大型且成熟的软件系统一样，有必要评估MLTON软件项目的设计和架构，并进行持续研究和开发所需的任何实质性更改。 该计算研究基础设施项目支持将MLTON定位为编程设计和实施研究的工具。 这些增强功能将直接支持研究，同时在生产级编译器的背景下为学生和下一代研究提供了软件开发经验，这是一种复杂的软件系统，可将许多计算机科学教育主题汇总在一起，并鼓励批判性思维。 最后，这些增强功能将间接支持使用功能性编程语言的更广泛的编程研究社区和行业软件开发人员。 The broader impacts of the project will be in training of student research assistants at all levels, the development of documentation and course materials for teaching compiler-related topics using the MLton infrastructure, and the continued support for MLton's industrial and academic users.Specific infrastructure enhancements will include development of type-checking and optimization infrastructures, threading and garbage collection frameworks, configuration and benchmarking support systems, and文档包括课程材料。这些增强功能将直接支持研究探索下一代语言特征（例如一流的多态性，广​​义代数数据类型和高阶多态性）的全程编程和研究探索下一代执行平台（例如多核平行系统，实时嵌入式系统，实时嵌入式系统和基于云的分布式）的研究编程。一个重要的目标是提供一种可以易于科学比较和对比研究结果的单一研究工具，从而使研究人员能够根据更有意义的比较提出更强有力的主张，而不是依靠多个系统堆栈的较弱的主张。