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Low Power Predictive Placement Cache Scheme for Embedded System

Publisher : 2014 International Conference on Embedded Systems (ICES)

Campus : Bengaluru

School : School of Engineering

Department : Computer Science

Year : 2014

Abstract : The power consumption is crucial for embedded applications which are operated by battery. This paper compares the behavior of instruction cache and data cache of predictive placement scheme using minimal prediction bits on energy efficiency and performance. The performance of predictive placement scheme is evaluated and compared with Way Prediction for instruction cache and data cache. Using proposed scheme, an average energy saving of 71.6% for data cache and 64% for instruction cache can be achieved over conventional set-associative cache scheme. Simplescalar 3.0 simulator is used to obtain the results for Mibench embedded benchmarks

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