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In a data-driven economy, virtually all industries benefit from advances in information technology-powerful computing systems are critically important for rapid technological progress. However, this progress might be at risk of slowing down if the discrepancy between the current computing power demands and what the existing technologies can offer is not addressed. Key limitations to improving energy efficiency are the excessive growth of data transfer costs associated with the von Neumann architecture and the fundamental limits of complementary metal-oxide-semiconductor (CMOS) technologies, such as transistors. Herein, three approaches that will likely play an essential role in future computing systems are discussed: memristive electronics, spintronics, and electronics based on 2D materials. The authors present how these technologies may transform conventional digital computers and contribute to the adoption of new paradigms, like neuromorphic computing.

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Memristive, Spintronic, and 2D‐Materials‐Based Devices to Improve and Complement Computing Hardware

Joksas

AlMutairi

Lee

et al. 2022

Advanced Intelligent Systems

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Switch Application in FPGA

Cited by 1 publication

References 12 publications

Memristive, Spintronic, and 2D‐Materials‐Based Devices to Improve and Complement Computing Hardware

Memristive, Spintronic, and 2D‐Materials‐Based Devices to Improve and Complement Computing Hardware

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