Research Article

Power and Area Efficient Cascaded Effectless GDI Approximate Adder for Accelerating Multimedia Applications Using Deep Learning Model

Table 9

Comparison of clock cycles taken for computation by the convolution layers in the LWDD network.

Stage of processingNumber of clock cyclesSpeed-up factor
LWDD system based on different adders
GDI-CMBAIGDI-AMBAIIGDI-HSETAIIProposed GDI-EAHSETAIIGDI-AMBAIIGDI-HSETAIIProposed GDI-EAHSETAII

Convolution layer 112605121201024597711.041.231.29
Convolution layer 2504164847040990391121.041.231.29
Convolution layer 3255692458720789199771.041.231.29
Convolution layer 4511364617141560396091.041.231.29
Convolution layer 5270092597621956208851.041.231.29
Convolution layer 6520165001542290403201.041.231.29