Realization of processing In-memory computing architecture using Quantum Dot Cellular Automata
The present manuscript deals with the realization of processing In-memory (PIM) computing architecture using Quantum Dot Cellular Automata (QCA) and Akers array. The PIM computing architecture becomes popular due to its effective framework for storage and computation of data in a single unit. Here,...
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Veröffentlicht in: | Microprocessors and microsystems 2017-07, Vol.52, p.49-58 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The present manuscript deals with the realization of processing In-memory (PIM) computing architecture using Quantum Dot Cellular Automata (QCA) and Akers array. The PIM computing architecture becomes popular due to its effective framework for storage and computation of data in a single unit. Here, we illustrate two input NAND and NOR gate with the help of QCA based Akers array as a case study. The QCA Flip-Flop is used as a primitive cell to design PIM architecture. The results suggest that both the gates have minimum power dissipation. The polarization results of proposed architecture suggest that the signals are in good control. The footprint of the primitive cell equals to 0.04µm2, which is smaller than conventional CMOS primitive cell. The combination of QCA and Akers array provides many additional benefits over the conventional architecture like reduction in the power consumption and feature size, furthermore, it also improves the computational speed. |
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ISSN: | 0141-9331 1872-9436 |
DOI: | 10.1016/j.micpro.2017.04.022 |