SHF: SMALL: LUCID: Low-overhead, Unobtrusive Cache Contention Detection and Repair

SHF：SMALL：LUCID：低开销、不显眼的缓存争用检测和修复

• 批准号: 1525296
• 负责人: Joseph Devietti
• 金额: $ 48.24万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1525296&HistoricalAwards=false
• 关键词: SHF; SMALL; LUCID; Low; overhead

Title: SHF: SMALL: LUCID: Low-overhead, Unobtrusive Cache Contention Detection and RepairThe last decade has overseen a historic shift in processor design towards multicore architectures. From servers to tablets, phones and watches, processor architects are using multiple cores to achieve performance and energy targets. Unfortunately, writing parallel code that performs well on these processors is far from easy. The intellectual merits of this project include developing new algorithms for finding and fixing performance bugs in parallel code by integrating support from across the computing stack including hardware, compilers and runtime systems. The project's broader significance and importance is to improve the performance and energy efficiency of parallel code, providing benefits for the users of all multicore computing devices. This project also seeks to encourage participation from underrepresented groups in the next generation of computer scientists.This project leverages recent advances in hardware performance counters that allow for low-overhead, unobtrusive profiling of cache contention in real systems. This performance counter information drives new techniques for finding and automatically fixing cache contention without programmer intervention. The research explores integrating contention detection and repair with managed language runtimes. The researchers plan to openly distribute the systems built for this project to facilitate examination by other researchers and to integrate the research results into education.

标题：SHF：小：清醒：低空，不引人注目的高速缓存竞争检测和修理，最后十年已经监督了处理器设计向多核心体系结构的历史转变。从服务器到平板电脑，手机和手表，处理器架构师都使用多个内核来实现性能和能量目标。不幸的是，编写在这些处理器上表现良好的并行代码远非容易。该项目的智力优点包括开发新算法，通过集成包括硬件，编译器和运行时系统在内的整个计算堆栈的支持，以在并行代码中查找和修复性能错误。该项目更广泛的意义和重要性是提高并行代码的性能和能源效率，从而为所有多项计算设备的用户提供好处。该项目还旨在鼓励代表性不足的小组参与下一代计算机科学家。该项目利用了硬件性能计数器的最新进展，这些项目允许较低的超空，对真实系统中的缓存争论的毫不显眼分析。该性能反向信息驱动了新技术，用于查找和自动修复缓存争议，而无需进行程序员干预。该研究探讨了将竞争检测和维修与托管语言运行时的整合。研究人员计划公开分发为该项目构建的系统，以促进其他研究人员的检查，并将研究结果整合到教育中。