Print Email Facebook Twitter Would Magnonic Circuits Outperform CMOS Counterparts? Title Would Magnonic Circuits Outperform CMOS Counterparts? Author Mahmoud, A.N.N. (TU Delft Computer Engineering) Cucu Laurenciu, N. (TU Delft Computer Engineering) Vanderveken, Frederic (IMEC-Solliance) Ciubotaru, Florin (IMEC-Solliance) Adelmann, Christoph (IMEC-Solliance) Cotofana, S.D. (TU Delft Computer Engineering) Hamdioui, S. (TU Delft Quantum & Computer Engineering) Department Quantum & Computer Engineering Date 2022 Abstract In the early stages of a novel technology development, it is difficult to provide a comprehensive assessment of its potential capabilities and impact. Nevertheless, some preliminary estimates can be drawn and are certainly of great interest and in this paper we follow this line of reasoning within the framework of the Spin Wave (SW) based computing paradigm. In particular, we are interested in assessing the technological development horizon that needs to be reached in order to unleash the full SW paradigm potential such that SW circuits can outperform CMOS counterparts in terms of energy consumption. In view of the zero power SWs propagation through ferromagnetic waveguides, the overall SW circuit power consumption is determined by the one associated to SWs generation and sensing by means of transducers. While current antenna based transducers are clearly power hungry recent developments indicate that magneto-electric (ME) cells have a great potential for ultra-low power SW generation and sensing. Given that MEs have been only proposed at the conceptual level and no actual experimental demonstration has been reported we cannot evaluate the impact of their utilization on the SW circuit energy consumption. However, we can perform a reverse engineering alike analysis to determine ME delay and power consumption upper bounds that can place SW circuits in the leading position. To this end, we utilize a 32-bit Brent-Kung Adder (BKA) as discussion vehicle and compute the maximum ME delay and power consumption that could potentially enable a SW implementation able to outperform its 7nm CMOS counterpart. We evaluate different BKA SW implementations that rely on conversion- or normalization-based gate cascading and consider continuous or pulsed SW generation scenarios. Our evaluations indicate that 31nW is the maximum transducer power consumption for which a 32-bit Brent-Kung SW implementation can outperform its 7nm CMOS counterpart in terms of energy consumption. Subject benchmarkingbrent-kung prefix addercmoscomputing paradigmdelaypower consumptionspin-wave To reference this document use: http://resolver.tudelft.nl/uuid:e2f3ef3d-d802-44ee-be6d-70da94fb6480 DOI https://doi.org/10.1145/3526241.3530368 Publisher Association for Computing Machinery (ACM) ISBN 9781450393225 Source GLSVLSI 2022 - Proceedings of the Great Lakes Symposium on VLSI 2022 Event 32nd Great Lakes Symposium on VLSI, GLSVLSI 2022, 2022-06-06 → 2022-06-08, Irvine, United States Series Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI Part of collection Institutional Repository Document type conference paper Rights © 2022 A.N.N. Mahmoud, N. Cucu Laurenciu, Frederic Vanderveken, Florin Ciubotaru, Christoph Adelmann, S.D. Cotofana, S. Hamdioui Files PDF GLSVLSI2022_camera_ready_arxiv.pdf 732.85 KB Close viewer /islandora/object/uuid:e2f3ef3d-d802-44ee-be6d-70da94fb6480/datastream/OBJ/view