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.

职务名称：SHF：小号：- 你好低开销、无干扰的缓存争用检测和修复过去十年，处理器设计朝着多核架构方向发生了历史性转变。从服务器到平板电脑、手机和手表，处理器架构师都在使用多核来实现性能和能耗目标。不幸的是，编写在这些处理器上运行良好的并行代码远非易事。该项目的智力优势包括开发新的算法，通过集成来自包括硬件，编译器和运行时系统在内的整个计算堆栈的支持来查找和修复并行代码中的性能错误。该项目更广泛的意义和重要性在于提高并行代码的性能和能源效率，为所有多核计算设备的用户提供好处。该项目还旨在鼓励下一代计算机科学家中代表性不足的群体的参与。该项目利用了硬件性能计数器的最新进展，这些计数器允许在真实的系统中对缓存争用进行低开销、不显眼的分析。此性能计数器信息推动了无需程序员干预即可查找和自动修复缓存争用的新技术。该研究探讨了将争用检测和修复与托管语言运行时集成。研究人员计划公开发布为该项目构建的系统，以方便其他研究人员进行检查，并将研究成果融入教育。