Dynamic power estimation for deep submicron circuits with process variation

Keyphrases

• Deep Submicron 100%
• Process Variation 100%
• Glitches 100%
• Dynamic Power Estimation 100%
• Monte Carlo Simulation 66%
• Order of Magnitude 33%
• Estimation Method 33%
• Logic Gates 33%
• Number of Signals 33%
• Time Variation 33%
• Power Consumption 33%
• Transition Density 33%
• Probabilistic Model 33%
• Device Characterization 33%
• Signal Transition 33%
• Dynamic Power 33%
• Density Modeling 33%
• CMOS Circuits 33%
• Spices 33%
• Less Power 33%
• Power Estimator 33%
• Dynamic Power Consumption 33%
• Glitch 33%
• Characterization Data 33%
• Small Circuits 33%
• Confidence-based 33%

Computer Science

• Process Variation 100%
• Dynamic Power 100%
• Monte Carlo Simulation 66%
• Estimation Method 33%
• Logic Gate 33%
• Power Consumption 33%
• Probabilistic Modeling 33%
• Dynamic Power Consumption 33%
• Transition Signal 33%
• Data Characterization 33%

Engineering

• Power Estimation 100%
• Process Variation 100%
• Electric Power Utilization 66%
• Mean Value 33%
• SPICE 33%
• Logic Gate 33%
• Probabilistic Modeling 33%