Physical Computing: Unifying Real Number Computation to Enable Energy Efficient Computing
Electrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA 30332-250, USA
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Academic Editor: Andrea Acquaviva
J. Low Power Electron. Appl. 2021, 11(2), 14; https://doi.org/10.3390/jlpea11020014
Received: 18 February 2021
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Revised: 22 March 2021
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Accepted: 22 March 2021
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Published: 26 March 2021
Physical computing unifies real value computing including analog, neuromorphic, optical, and quantum computing. Many real-valued techniques show improvements in energy efficiency, enable smaller area per computation, and potentially improve algorithm scaling. These physical computing techniques suffer from not having a strong computational theory to guide application development in contrast to digital computation’s deep theoretical grounding in application development. We consider the possibility of a real-valued Turing machine model, the potential computational and algorithmic opportunities of these techniques, the implications for implementation applications, and the computational complexity space arising from this model. These techniques have shown promise in increasing energy efficiency, enabling smaller area per computation, and potentially improving algorithm scaling.
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Keywords:
physical computing; analog computing; complexity theory
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MDPI and ACS Style
Hasler, J.; Black, E. Physical Computing: Unifying Real Number Computation to Enable Energy Efficient Computing. J. Low Power Electron. Appl. 2021, 11, 14. https://doi.org/10.3390/jlpea11020014
AMA Style
Hasler J, Black E. Physical Computing: Unifying Real Number Computation to Enable Energy Efficient Computing. Journal of Low Power Electronics and Applications. 2021; 11(2):14. https://doi.org/10.3390/jlpea11020014
Chicago/Turabian StyleHasler, Jennifer, and Eric Black. 2021. "Physical Computing: Unifying Real Number Computation to Enable Energy Efficient Computing" Journal of Low Power Electronics and Applications 11, no. 2: 14. https://doi.org/10.3390/jlpea11020014
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