2007Microelectronics & ComputerRequires access

A Low-power Design for gshare Branch Predictor

Wu Meng, Haibin Shen

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Abstract

Power and performance are both the important design issues in high-end embedded computing system. Based on the microarchitecture of dynamic branch predictor used in deep-pipelined processor, this paper proposes a method to reduce the power of gshare branch predictor using banking technique and explores the relationship among predictor's size, number of banks and predictor's area/power.

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What this paper is about

Power and performance are both the important design issues in high-end embedded computing system. Based on the microarchitecture of dynamic branch predictor used in deep-pipelined processor, this paper proposes a method to reduce the power of gshare branch predictor using banking technique and explores the relationship among predictor's size, number of banks and predictor's area/power.

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Available abstract

Power and performance are both the important design issues in high-end embedded computing system. Based on the microarchitecture of dynamic branch predictor used in deep-pipelined processor, this paper proposes a method to reduce the power of gshare branch predictor using banking technique and explores the relationship among predictor's size, number of banks and predictor's area/power.

Key concepts: Branch predictor, Computer science, Microarchitecture, Power (physics), Predictive power, Parallel computing, Embedded system, Computer architecture

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