Collaborative Research: Advanced Compiler Optimizations and Programming Language Enhancements for Petascale I/O and Storage

协作研究：针对 Petascale I/O 和存储的高级编译器优化和编程语言增强

• 批准号: 0833126
• 负责人: Mahmut Kandemir
• 金额: $ 20.53万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0833126&HistoricalAwards=false
• 关键词: Collaborative; Research; Advanced; Compiler; Optimizations

Peta-scale systems have tens of thousands to millions of cores. To exploit the performance for applications such as climate prediction, environmental modeling, astrophysics, biology, life-sciences, etc, the problems of programming these systems must be solved. Programming language enhancements, compiler techniques and runtime support must be developed to enable computing and knowledge discovery at this unprecedented scale. The challenges faced by a user in programming these machines include performance, power, productivity, and portability, which are inter-related in a complex way. This project entails the design and development of programming language, programming model, and compilation optimizations for I/O and storage performance and power optimizations. The project is investigating ?What minimal set of changes or enhancements to programming models, programming languages, and what optimizations to compilers and runtime systems are needed to enable better I/O, file and storage systems performance while optimizing power and improving productivity?? Some specific questions include: What language enhancements can be used by to specifically improve the I/O and storage performance? Should interfaces be developed that can be used across languages for I/O? What compiler optimizations are needed? Can the compiler identify transform codes that can inform the I/O runtime and storage systems on phases to power-down disks to save power at certain times as required? The project tasks include: the design and development of programming-language enhancement; the design of a compilation framework and performance- and power-oriented I/O optimizations using novel compiler analyses; and the design of a novel hint-handling mechanism within the I/O stack.

PETA尺度系统具有数万到数百万个核心。 为了利用诸如气候预测，环境建模，天体物理学，生物学，生命科学等应用的应用程序，必须解决编程问题。 必须开发编程语言增强功能，编译器技术和运行时支持，以便以这种前所未有的规模启用计算和知识发现。用户在编程这些机器方面面临的挑战包括性能，功率，生产力和可移植性，它们以复杂的方式相互关联。 该项目需要针对I/O以及存储性能和功率优化的编程语言，编程模型的设计和开发。该项目正在调查吗？编程模型，编程语言的最小更改或增强功能以​​及需要对编译器和运行时系统进行哪些优化，以启用更好的I/O，文件和存储系统性能，同时优化功率和提高生产率？一些具体问题包括：可以使用哪些语言增强功能来专门提高I/O和存储性能？是否应该开发可以在I/O的语言上使用的接口？需要哪些编译器优化？编译器是否可以识别可以在各个阶段上通知I/O运行时和存储系统以在需要时节省电源的代码？ 项目任务包括：编程语言增强功能的设计和开发；使用新颖的编译器分析的编译框架以及以性能和功率为导向的I/O优化的设计； 以及在I/O堆栈中的新型提示处理机构的设计。