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Hamed Vakili, Mohammed N. Sakib, Samiran Ganguly, Mircea Stan, Matthew Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh
Abstract
Race logic is a relative timing code that represents information in a wavefront of digital edges on a set of wires in order to accelerate dynamic programming and machine learning algorithms. Skyrmions, bubbles, and domain walls are mobile magnetic configurations considered useful for Boolean data storage. We propose to use current-induced displacement of these soliton-like magnetic configurations as a native temporal memory in race logic. Locally synchronized racetracks can spatially store relative timings of wavefronts and provide non- destructive read-out. The linearity of skyrmion motion, its tunability, its low-voltage asynchronous operation, and the elimination of the need for skyrmion nucleation on the racetrack make these magnetic racetracks a natural memory for low-power, high-throughput race logic applications.
Citation
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Vakili, H.
, Sakib, M.
, Ganguly, S.
, Stan, M.
, Daniels, M.
, Madhavan, A.
, Stiles, M.
and Ghosh, A.
(2020),
Temporal Memory with Magnetic Racetracks, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, [online], https://dx.doi.org/10.1109/JXCDC.2020.3022381, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=930314
(Accessed October 9, 2025)