Table 2 Comparison of key parameters of nonlinear activation devices and circuits

From: A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation

Function

Type

Energy (power) consumption

Area

Delay time

Refs.

Sigmoid, Hyperbolic tangent, Softsign, Softplus, ELU, SeLU

CMOS

3.7 mW (5 bit), 4.6 mW (8 bit)

0.003 mm2@16 nm

N/A

28

Tanh

CMOS

0.071 mW

582 μm²@90 nm

1.40 ns

29

ReLU, Leaky ReLU, Tanh

CMOS

2.155 mW

35.809 μm²@180 nm

420 ps

30

Sigmoid

CMOS

11.4 μW

184 μm²@180 nm

N/A

31

Tanh, Sigmoid

CMOS

0.07 mW

1554 μm²@180 nm

2.25 ns

32

ReLU, Sigmoid

CMOS

55-88 mW

0.028 mm2@45 nm

570 ps

35

ReLU

Mott

199.5 pJ

0.64 μm²

61.4 ns

44

ReLU

ADC

29.6 fJ

45 μm2

N/A

37

ReLU, Tanh, Sigmoid

ADC

4.75 nJ

0.086 mm2@90 nm

207 ns

38

ReLU

ADC

87 μW

7200 μm²@180 nm

2.1 μs

39

Tanh, clipped-ReLU

ADC

15 μW

101.64 μm²@28 nm

N/A

41

ReLU

ADC

3.08 TOPS/W

3.91 TOPS/mm2@28 nm

N/A

42

Mish, GELU, SiLU

ADC

168 μW

1218 μm²@65 nm

N/A

43

Tanh, ReLU

Digital processors

1982 mJ

263 mm2

N/A

94

Tanh

ASIC

N/A

17864.24 μm2@180 nm

2.45 ns

95

Sigmoid Tanh

ASIC

2.16 mW 2.64 mW

7973.2 μm2@65 nm 10180 μm2@65 nm

3 ns, 3.16 ns

96

Sigmoid

ASIC

2.66 mW

8097.48 μm2@90 nm

1.96 ns

97

ReLU

ASIC

20.4 mW

130 nm

14 ns

98

Sigmoid

FPGA

19 mW

N/A

55 ns

99

Tanh

FPGA

N/A

N/A

45.4 ns

100

Sigmoid, Tanh

ASIC FPGA

0.31 mW, 0.28 mW 56 mW, 56 mW

4678.78 μm2@180 nm 5582.5 μm2

1.6 ns, 1.7 ns 23.1 ns, 23 ns

101

Sigmoid

MRAM

18.04 μW

0.138 μm2

48 ns

102

ReLU, Sigmoid

Memory

16 fJ for ReLU 80 aJ for Sigmoid

15 μm²

<8 ns

This work

  1. “@* nm” represents node process technology.
  2. N/A Not available.