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Minimum-energy state guided physical design for nanomagnet logic

Published: 29 May 2013 Publication History

Abstract

Nanomagnet Logic (NML) accomplishes computation through magnetic dipole-dipole interactions. It has the potential for low-power dissipation, radiation hardness and non-volatility. NML circuits have been designed to process and move information via nearest neighbor, device-to-device coupling. However, the resultant layouts often fail to function correctly. This paper reveals an important cause of such failures showing that a robust NML layout must take into account not only nearest neighbor, but also the next nearest neighbor couplings. A new design method is then introduced to address this issue that leverages the minimum-energy states of an NML circuit to guide the layout process. Case studies show that the new method is efficient and effective in arriving at correct NML layouts.

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Cited By

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  • (2020)Geometry-based Optimization of an in-Plane Nanomagnetic Majority Circuit2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting10.1109/IEEECONF35879.2020.9329638(799-800)Online publication date: 5-Jul-2020
  • (2019)Development of design models for nanomagnetic logic based combinatorial subsystem2019 IEEE 19th International Conference on Nanotechnology (IEEE-NANO)10.1109/NANO46743.2019.8993892(566-571)Online publication date: Jul-2019
  • (2016)Analysis of Switching Energy and Delay for Magnetic Logic Devices2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)10.1109/ISVLSI.2016.17(473-478)Online publication date: Jul-2016
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          cover image ACM Conferences
          DAC '13: Proceedings of the 50th Annual Design Automation Conference
          May 2013
          1285 pages
          ISBN:9781450320719
          DOI:10.1145/2463209
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 29 May 2013

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          View all
          • (2020)Geometry-based Optimization of an in-Plane Nanomagnetic Majority Circuit2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting10.1109/IEEECONF35879.2020.9329638(799-800)Online publication date: 5-Jul-2020
          • (2019)Development of design models for nanomagnetic logic based combinatorial subsystem2019 IEEE 19th International Conference on Nanotechnology (IEEE-NANO)10.1109/NANO46743.2019.8993892(566-571)Online publication date: Jul-2019
          • (2016)Analysis of Switching Energy and Delay for Magnetic Logic Devices2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)10.1109/ISVLSI.2016.17(473-478)Online publication date: Jul-2016
          • (2015)Nanomagnetic logic: from magnetic ordering to magnetic computingCMOS and Beyond10.1017/CBO9781107337886.017(301-334)Online publication date: 5-Feb-2015
          • (2014)Threshold Gate-Based Circuits From Nanomagnetic LogicIEEE Transactions on Nanotechnology10.1109/TNANO.2014.234265913:5(990-996)Online publication date: Sep-2014
          • (2014)Majority logic gate for 3D magnetic computingNanotechnology10.1088/0957-4484/25/33/33520225:33(335202)Online publication date: 30-Jul-2014

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