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Energy Efficiency Analysis - Memristor Neural Accelerator

0.1
pJ per MAC
100× better than GPU
20
TOPS/W
Peak Efficiency
10
Watts
Total Power
200
TOPS
Peak Performance

Neural Network Configuration

5 Layers
512 Neurons
32
4-bit
50%
500 MHz

Energy Breakdown

45%
Computation
30%
DAC/ADC
15%
Routing
10%
Control
Key Insights
  • Analog computation eliminates data movement energy
  • Sparsity exploitation reduces active device count
  • Lower precision improves energy efficiency with minimal accuracy loss
  • Partitioned architecture minimizes IR drop losses