1 Department of Computer Science, Western Illinois University, Macomb, Illinois, United States.
2 Department of Information Technology, University of the Cumberlands, Williamsburg, Kentucky, United States.
Review Article
World Journal of Advanced Research and Reviews, 2024, 24(03), 2997-3007
Received on 23 November 2024; revised on 29 December 2024; accepted on 31 December 2024
As Moore's Law continues to dictate exponential increases in computing power over the past few decades, hardware architectures are beginning to encounter physical limits that threaten the pace of progress. Microchip components have decreased in size to atomic scales, requiring advanced manufacturing techniques that drive up costs and introduce new obstacles. While Moore's Law has remarkably held true since its proposal in 1965, recent years have seen a diminishing rate of advancement as further size reductions become exponentially more challenging. As a result, researchers are exploring innovative computational approaches and technologies to continue advancing performance beyond traditional silicon-based transistors. This comprehensive review explores the physical barriers threatening Moore's Law's sustainability and investigates potential post-silicon alternatives in domains like quantum computing, neuromorphic architectures, and optical switching. The review finds that emerging technologies show promise in addressing specific computational problems but are not yet capable of fully replacing conventional digital systems. A hybrid model combining traditional and novel models may be needed to ensure ongoing gains in performance, albeit at a slower pace than silicon's historic trajectory.
Quantum; Neuromorphic; Photonic; Three-dimensional; Moore's Law; Integrated Circuits; Transistors; computing; Capabilities; Emerging; Technologies; Paradigms; Commercial Adoption; applications; Machine Learning; Simulation; Silicon
Preview Article PDF
Benita Urhobo and Dumebi Ugwuegbulam. What comes after Moore's Law: A comprehensive review of emerging computing paradigms. World Journal of Advanced Research and Reviews, 2024, 24(3), 2997-3007. Article DOI: https://doi.org/10.30574/wjarr.2024.24.3.4033