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: 0720499
• 负责人: Xipeng Shen
• 金额: $ 15万
• 依托单位: College of William and Mary
• 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=0720499&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.

处理器技术中持续的转变倾向于多发性媒介，为软件投机开辟了新的机会，在这种情况下，在这种情况下，在这种情况下执行程序代码以提高速度，以便在Thecost中必须监控错误以及在发生错误时发生撕裂执行代码的风险。在行为上，该项目可以开发一种基于行为的方法，从而可以允许使用程序或在程序中逐步极加逐步识别程序。 它主要开发两种编程技术：面向行为的并行化（BOP），该技术在推测上执行可能的并行区域和Fast Track，它使用软件猜测来支持Unsafely优化的代码的使用。过去30年来，微普罗斯处理器绩效的指数提高对科学，商业，政府和质量的生命有不可影响的影响，对科学，质量和质量有了不可影响的影响。 通过即将到来的革命继续这场革命将取决于很大程度的处理器级并行性。基于行为的Oftware推测有望改善现有的，顺序的软件和新软件的性能，以重新使用Anexisting代码库。 它简化了并行化，因此应该破坏未来软件开发的生产力。 该提案的结果将是通用软件的一系列技术，并将在可能的情况下过渡到工业公司，并将在本科和研究生课程中使用。