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 processing | Number of clock cycles | Speed-up factor | LWDD system based on different adders | GDI-CMBAI | GDI-AMBAII | GDI-HSETAII | Proposed GDI-EAHSETAII | GDI-AMBAII | GDI-HSETAII | Proposed GDI-EAHSETAII |
| Convolution layer 1 | 12605 | 12120 | 10245 | 9771 | 1.04 | 1.23 | 1.29 | Convolution layer 2 | 50416 | 48470 | 40990 | 39112 | 1.04 | 1.23 | 1.29 | Convolution layer 3 | 25569 | 24587 | 20789 | 19977 | 1.04 | 1.23 | 1.29 | Convolution layer 4 | 51136 | 46171 | 41560 | 39609 | 1.04 | 1.23 | 1.29 | Convolution layer 5 | 27009 | 25976 | 21956 | 20885 | 1.04 | 1.23 | 1.29 | Convolution layer 6 | 52016 | 50015 | 42290 | 40320 | 1.04 | 1.23 | 1.29 |
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