CSR-AES: Collaborative Research: Behavior-Based Speculative Parallelization and Optimization on Desktop Multiprocessors

CSR-AES：协作研究：桌面多处理器上基于行为的推测并行化和优化

• 批准号: 0720796
• 负责人: Chen Ding
• 金额: --
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720796&HistoricalAwards=false
• 关键词: CSR; AES; Collaborative; Research; Behavior

The on-going shift in processor technology to favor multicoremultiprocessors is opening new opportunities for software speculation,where program code is speculatively executed to improve speed at thecost of having to monitor for errors and the risk of having tore-execute code when an error happens.This project develops a new, behavior-based approach, which allows auser or a profiling tool to parallelize or optimize a program based onpartial information about the program code and the input. It mainlydevelops two programming techniques: Behavior-oriented parallelization(BOP), which speculatively executes possibly parallel regions, andFast track, which uses software speculation to support the use ofunsafely optimized code.The exponential increase in microprocessor performance over the past30 years has had incalculable impact on science, commerce, government,and quality of life. Continuing this revolution through the comingdecade will depend on a large degree of processor-level parallelism.Behavior-based oftware speculation promises to improve the performanceof existing, sequential software and of new software that reuses anexisting code base. It simplifies parallelization and should thusimprove the productivity of future software development. The outcomeof this proposal will be a suite of techniques for general-purposesoftware, and new tools that will be transitioned to industrialpartners wherever possible, and will be used in both undergraduate andgraduate courses.

处理器技术正在向多核多处理器转变，这为软件推测提供了新的机会，其中推测执行程序代码以提高速度，但代价是必须监视错误以及发生错误时必须重新执行代码的风险。该项目开发了一种新的基于行为的方法，该方法允许用户或分析工具基于有关程序代码和输入的部分信息来并行化或优化程序。 它主要开发两种编程技术：面向行为的并行化（BOP），它推测性地执行可能的并行区域，以及快速通道，它使用软件推测来支持不安全优化代码的使用。过去30年微处理器性能的指数级增长产生了不可估量的影响关于科学、商业、政府和生活质量。 在未来十年继续这场革命将取决于很大程度上的处理器级并行性。基于行为的软件推测有望提高现有的顺序软件以及重用现有代码库的新软件的性能。 它简化了并行化，从而提高了未来软件开发的生产力。 该提案的成果将是一套通用软件技术和新工具，将尽可能过渡给工业合作伙伴，并将在本科生和研究生课程中使用。