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- W45767344 abstract "This paper introduces an enhanced predictor to reduce power consumption for a way-prediction cache used for embedded systems. The proposed predictor shows better prediction accuracy and lower power consumption compared to any conventional data caches. In addition, two representative cache replacement policies, LRU (Least recently Used) and random, are examined for low-power data caches; simulation results show that random reduce power consumption more than LRU for highly-associative way-prediction caches. SimpleScalar and Cacti simulators are used for these simulations with SPEC benchmark programs.KeywordsPower ConsumptionPower DissipationData CacheIndex TableReduce Power ConsumptionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W45767344 created "2016-06-24" @default.
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- W45767344 date "2013-11-13" @default.
- W45767344 modified "2023-09-23" @default.
- W45767344 title "A Study for a Low-Power Way Predictor for Embedded Data Caches" @default.
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- W45767344 doi "https://doi.org/10.1007/978-94-007-7262-5_56" @default.
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