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A 0.13μm hardware-efficient probabilistic-based noise-tolerant circuit design and implementation with 24.5dB noise-immunity improvement

As the size of CMOS devices is scaled down to the nanoscale level, noise interferences start to significantly affect the VLSI circuit performance. Because the noise is random and dynamic in nature, a probabilistic-based approach is more suitable to handle signal errors than the conventional determin...

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Main Authors: I-Chyn Wey, You-Gang Chen, Changhong Yu, Jie Chen, An-Yeu Wu
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Language:English
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You-Gang Chen
Changhong Yu
Jie Chen
An-Yeu Wu
description As the size of CMOS devices is scaled down to the nanoscale level, noise interferences start to significantly affect the VLSI circuit performance. Because the noise is random and dynamic in nature, a probabilistic-based approach is more suitable to handle signal errors than the conventional deterministic circuit designs. However, probabilistic-based designs cost larger hardware area. In this paper, we design and implement a hardware-efficient probabilistic-based noise-tolerant circuit, an 8-bit Markov random field carry lookahead adder (MRF_CLA), in 0.13 mum CMOS process technology. The measurement results show that the proposed MRF_CLA can provide 24.5 dB of noise-immunity enhancement as compared with its conventional CMOS design. Moreover, the transistor count can be saved 42% as compared to the state-of-art MRF design [1].
doi_str_mv 10.1109/ASSCC.2007.4425694
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subjects Circuit noise
Circuit optimization
Circuit synthesis
Costs
Hardware
Interference
Markov random fields
Nanoscale devices
Noise level
Very large scale integration
title A 0.13μm hardware-efficient probabilistic-based noise-tolerant circuit design and implementation with 24.5dB noise-immunity improvement
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