SHF: Small: Minimal Multithreading - Exploiting Redundancy in Parallel Systems

SHF：小：最小多线程 - 利用并行系统中的冗余

• 批准号: 1017578
• 负责人: Diana Franklin
• 金额: $ 49.92万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017578&HistoricalAwards=false
• 关键词: SHF; Small; Minimal; Multithreading; Exploiting

Due to technology and industry trends, parallelism and energyefficiency have emerged as critical considerations in future computingsystems. The investigators observe that many convenient models forwriting parallel programs can lead to significant redundancy incomputation and data. This redundancy can be used to improveperformance and reduce energy consumption.The investigators observe that many parallel software models(e.g. data parallelism, Single-Program Multiple Data (SPMD),multi-programming, and high-throughput computing) consist of multiplethreads of computation with very similar instructions streams andworking sets of data. The trick, however, is to design efficientmechanisms that both exploit this similarity and effectively supportthe differences. This project will follow two research thrusts toeliminate redundancy across five application domains. First, theresearch will explore multi-threaded processor core designs thateliminate redundant instruction fetch and/or execution. Second, theresearch will explore content-aware caching techniques that reduceredundant storage of identical data across parallel threads andprocesses.

由于技术和行业趋势，在未来的计算系统中，平行性和能源效率已成为关键考虑因素。 研究人员观察到，许多方便的用于写入并行程序的模型都会导致大量的冗余无关和数据。 这种冗余可用于提高性能和减少能源消耗。研究人员观察到，许多并行软件模型（例如数据并行性，单程序多个数据（SPMD），多编程和高通量计算）由计算的乘以计算的倍增读取，这些指令和数据流集和工作集集。但是，诀窍是设计有效的机理，既利用这种相似性，又可以有效地支持差异。 该项目将遵循两项研究推力在五个应用程序域中的冗余。首先，Theresearch将探索多线程处理器核心设计，以阐明冗余指令获取和/或执行。 其次，Theresearch将探索内容感知的缓存技术，以还原跨并行线程和过程中相同数据的库存。