Temporal Memory with Magnetic Racetracks
Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan,, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh

TL;DR
This paper introduces magnetic racetracks with skyrmions as a novel, low-power temporal memory for race logic computing, enabling efficient storage and retrieval of digital edge timings.
Contribution
It proposes using current-driven skyrmion displacement on magnetic racetracks as a native, non-destructive temporal memory for race logic, combining low power and high throughput.
Findings
Skyrmions can be used for temporal memory in race logic.
Magnetic racetracks enable non-destructive read-out of timing information.
The approach offers low-voltage, asynchronous operation with no need for constant skyrmion nucleation.
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 (solitons) with applications for Boolean data storage. We propose to use current-induced displacement of these solitons on magnetic racetracks as a native temporal memory for race logic computing. Locally synchronized racetracks can spatially store relative timings of digital edges and provide non-destructive read-out. The linear kinematics of skyrmion motion, the tunability and low-voltage asynchronous operation of the proposed device, and the elimination of any need for constant skyrmion nucleation make these magnetic racetracks a natural memory for low-power, high-throughput race logic applications.
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