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A novel approach for high-level power modeling of sequential circuits using recurrent neural networks
Wen Tsan Hsieh, Chih Chieh Shiue,
Chien-Nan Liu
電子研究所
研究成果
:
Conference article
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同行評審
9
引文 斯高帕斯(Scopus)
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Engineering
Power Level
100%
Sequential Circuits
100%
Recurrent Neural Network
100%
Experimental Result
50%
Energy Dissipation
50%
Output Signal
50%
Input Sequence
50%
Power Distribution
50%
Signal Statistic
50%
Temporal Correlation
50%
Flip Flop Circuits
50%
Keyphrases
Recurrent Neural Network
100%
Power Model
100%
Sequential Circuits
100%
Power Modeling
100%
Input-output
40%
Power Dissipation
20%
Output Signal
20%
Small Variation
20%
Nonlinear Characteristics
20%
Short Sequence
20%
Input Sequence
20%
Temporal Correlation
20%
Signal Statistics
20%
Circuit Size
20%
Complex Circuit
20%
Flip-flop
20%
Power Distribution
20%
Computer Science
Recurrent Neural Network
100%
Input/Output
100%
Sequential Circuit
100%
Experimental Result
50%
Power Distribution
50%
Temporal Correlation
50%
Energy Dissipation
50%
Chemical Engineering
Recurrent Neural Network
100%