PROBABILISTIC METHODS FOR NANG-COMPUTING

• Main Author: SAWARAN SINGH, NARINDERJIT SINGH
• Format: Thesis
• Language: English
• Published: 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/id/eprint/21551/1/2015%20-ELECTRICAL%20%26%20ELECTRONICS%20-%20PROBABILISTIC%20METHOODS%20FOR%20NANO-COMPUTING%20-%20NARINDERJIT%20SINGH%20SAWARAN%20SINGH.pdf; http://utpedia.utp.edu.my/id/eprint/21551/

As CMOS transistors enter below 20nm dimension, the frequent static and intermiitent dynamic fluctuation will result to variations in the electrical parameters of those transistors. In tum, these variations will cause the performance of CMOS transistors to be unstable, which will then continue to develop a negative impact on the correct functioning and reliability of those transistors. As a result, designing a reliable circuit system based on these transistors is becoming very challenging. Thus, we are inevitably faced with the question of how to build a reliable computing system using nano-based CMOS transistors. Even though researchers and engineers have developed various methodologies, which able to tolerate extremely large number of defects and faults by CMOS transistors, the question of quantifying reliability of the computing system at design stage still remains the same.