Approximate computing

Approximate Computing With Stochastic Transistors’ Voltage Over-Scaling

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Ren Li, et al., "Approximate Computing With Stochastic Transistors’ Voltage Over-Scaling" IEEE Access 7, 2019, 6373. Ubiquitous computing and the ever-rising need for energy efficiency pose challenges in terms of the processing requirements and the corresponding machine complexity. Nonetheless, the nature of the underlying applications, particularly dealing with real-world data, offers alternative paradigms toward the efficient utilization of the available design resources. In this paper, approximate computing is addressed as an accommodating technique that can benefit from the inherent

Sana Mazahir

Education and Early Career Sana Mazahir received the B.E. and M.S. degrees in Electrical Engineering from the College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), in 2013 and 2015, respectively. She worked at the System Analysis and Verification (SAVe) laboratory at NUST between 2015 and 2019. Currently, she is pursuing the Ph.D. degree at King Abdullah University of Science and Technology, Saudi Arabia, under the supervision of Prof. Mohamed-Slim Alouini. Her research interests include signal processing for wireless communications. Research