Readable racetrack memory via ferromagnetically coupled chiral domain walls
Sign Up to like & getrecommendations! Published in 2018 at "Applied Physics Letters"
DOI: 10.1063/1.5049859
Abstract: Current-induced motion of domain walls (CIMDW) with interfacial Dzyaloshinskii-Moriya interaction (DMI) in heavy metal (HM)/ferromagnetic (FM) metal multilayers have attracted attention owing to their potential application in novel magnetic memories. In recent years, the CIMDW… read more here.
Keywords: memory via; racetrack memory; readable racetrack; memory ... See more keywords
Multi-segmented nanowires for vortex magnetic domain wall racetrack memory
Sign Up to like & getrecommendations! Published in 2023 at "Chinese Physics B"
DOI: 10.1088/1674-1056/acca0a
Abstract: Vortex domain walls (VW) magnetic racetrack memory’s high performance depends on VW structural stability, high speed, low power consumption and high storage density. In this study, these critical parameters were investigated in magnetic multi-segmented nanowires… read more here.
Keywords: segmented nanowires; racetrack memory; offset area; memory ... See more keywords
An Efficient Syndrome Calculator for Varshamov–Tenengolts Codes in Vertical Racetrack Memory
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Magnetics Letters"
DOI: 10.1109/lmag.2019.2946524
Abstract: Spintronic racetrack memory stores binary information in magnetic domains, isolated with domain walls and movable within a nanowire. Because the domain wall motion is probabilistic, Varshamov–Tenengolts (VT) codes have been applied to such devices due… read more here.
Keywords: calculator; varshamov tenengolts; tenengolts codes; racetrack memory ... See more keywords
Pod-racing: bulk-bitwise to floating-point compute in racetrack memory for machine learning at the edge
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Micro"
DOI: 10.1109/mm.2022.3195761
Abstract: Convolutional neural networks (CNNs) have become a ubiquitous algorithm with growing applications in mobile and edge settings. We describe a compute-in-memory (CIM) technique called POD-RACING using Racetrack memory (RM) to accelerate CNNs for edge systems.… read more here.
Keywords: bulk bitwise; racetrack memory; pod; pod racing ... See more keywords
Parallel Computation in the Racetrack Memory
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2021.3078061
Abstract: Racetrack memories are promising candidates for next-generation solid-state storage devices. Various racetrack memories have been proposed in the literature, skyrmion based or domain wall based. However, none of them show integrated computing capabilities. Here, we… read more here.
Keywords: parallel computation; racetrack memory; racetrack; computation racetrack ... See more keywords
Granularity-Driven Management for Reliable and Efficient Skyrmion Racetrack Memories
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2022.3171804
Abstract: Skyrmion racetrack memory is a rising star of nonvolatile memories due to its outstanding access performance and storage density. However, the working principle of skyrmion racetrack memory introduces unique issues, such as the position error… read more here.
Keywords: racetrack memory; management; skyrmion racetrack; granularity driven ... See more keywords