DocumentCode
3266743
Title
A low-power misprediction recovery mechanism
Author
Jiongyao Ye ; Watanabe, Takahiro
Author_Institution
Grad. Sch. of Inf. Productions & Syst., Waseda Univ., Kitakyushu, Japan
fYear
2009
fDate
19-21 Jan. 2009
Firstpage
209
Lastpage
212
Abstract
In modern superscalar processor, branch misprediction penalty becomes a critical factor in overall processor performance. Previous researches proposed dual (or multi) path execution methods attempt to reduce the misprediction penalty, but these methods are quite complex and high power consumption. Most of the reasons are due to simultaneously fetching and executing instructions from multiple. In this paper, we reduce branch misprediction penalties based on the balance between complexity, power, and performance. We present a novel technique-Decode Recovery Cache (DRC)-for reducing misprediction penalty, giving consideration to complexity and power consumption simultaneously. The DRC stores decoded instructions that are mispredicted. Then during subsequent mispredictions, a hit in the DRC can reduce the re-fill time of pipeline, and eliminate instruction re-fetch and its subsequent decoding. The bypassing of both re-fetching and re-decoding reduces processor power. Experimental results employing SPECint 2000 benchmark show that, using a processor with DRC, IPC value is significantly improved by 10.4% on average over the traditional processors and average power consumption is reduced by 62.6%, compared with dual Path Instruction Processing.
Keywords
cache storage; low-power electronics; pipeline processing; system recovery; branch misprediction penalty; decode recovery cache; low-power misprediction recovery; power consumption; superscalar processor; Accuracy; Clocks; Decoding; Degradation; Energy consumption; Frequency; Modems; Pipelines; Process design; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Microelectronics & Electronics, 2009. PrimeAsia 2009. Asia Pacific Conference on Postgraduate Research in
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4668-1
Electronic_ISBN
978-1-4244-4669-8
Type
conf
DOI
10.1109/PRIMEASIA.2009.5397409
Filename
5397409
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