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

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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.