Fundamental Limits on Energy-Delay-Accuracy of In-Memory Architectures in Inference Applications

Keyphrases

• Fundamental Limits 100%
• Power Delay Product 100%
• In-memory Computing 100%
• Processing-In-Memory Architectures 100%
• Delay Precision 100%
• Signal-to-noise Ratio 83%
• Analog-to-digital Converter 66%
• Monte Carlo Simulation 16%
• Ratiometric 16%
• Latency 16%
• Noise Energy 16%
• Charge Redistribution 16%
• CMOS Process 16%
• Technology Scaling 16%
• Noise Model 16%
• Computational Precision 16%
• 65nm CMOS 16%
• Voltage Swing 16%
• Output Signal-to-noise Ratio 16%
• SRAM Array 16%
• In-memory Compute 16%
• Charge Summing 16%
• Current Summing 16%

Computer Science

• Noise-to-Signal Ratio 100%
• Fundamental Limit 100%
• Computer Architecture 100%
• Memory Architecture 100%
• Analog-to-Digital Converter 66%
• Monte Carlo Simulation 16%

Engineering

• Signal-to-Noise Ratio 100%
• Fundamental Limit 100%
• Analog-to-Digital Converter 66%
• Metrics 16%
• Output Signal 16%
• Interrelationship 16%
• Noise Energy 16%