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

由于技术和行业的发展趋势，并行性和能源效率已经成为未来计算系统的关键考虑因素。 研究人员发现，许多编写并行程序的方便模型会导致计算和数据的大量冗余。 研究人员发现，许多并行软件模型（如数据并行、单程序多数据（SPMD）、多程序设计和高吞吐量计算）都是由具有非常相似的指令流和工作数据集的多个计算线程组成的。然而，诀窍在于设计有效的机制，既能利用这种相似性，又能有效地支持差异。 这个项目将遵循两个研究方向，以消除五个应用领域的冗余。首先，研究将探讨多线程处理器核心设计，消除冗余的指令提取和/或执行。 其次，研究将探索内容感知缓存技术，减少跨并行线程和进程的相同数据的冗余存储。

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.