Spintronic devices and applications using noncollinear chiral antiferromagnets
Antiferromagnetic materials have several unique properties, such as a vanishingly small net
magnetization, which generates weak dipolar fields and makes them robust against …
magnetization, which generates weak dipolar fields and makes them robust against …
Domain-Specific STT-MRAM-based In-Memory Computing: A Survey
A Yusuf, T Adegbija, D Gajaria - IEEE Access, 2024 - ieeexplore.ieee.org
In recent years, the rapid growth of big data and the increasing demand for high-
performance computing have fueled the development of novel computing architectures …
performance computing have fueled the development of novel computing architectures …
A stochastic computing scheme of embedding random bit generation and processing in computational random access memory (SC-CRAM)
Stochastic computing (SC) has emerged as a promising solution for performing complex
functions on large amounts of data to meet future computing demands. However, the …
functions on large amounts of data to meet future computing demands. However, the …
On Error Correction for Nonvolatile Processing-In-Memory
Processing in memory (PiM) represents a promising computing paradigm to enhance
performance of numerous dataintensive applications. Variants performing computing directly …
performance of numerous dataintensive applications. Variants performing computing directly …
On Gate Flip Errors in Computing-In-Memory
Computing-in-memory (CIM) architectures that perform logic gate operations directly within
memory arrays, in-situ, are particularly effective in addressing memory-induced performance …
memory arrays, in-situ, are particularly effective in addressing memory-induced performance …
A digital processing in memory architecture using TCAM for rapid learning and inference based on a spike location dependent plasticity
SM Kim, KM Kim, JH Choi, SM Kang, MK Bang… - IEEE …, 2023 - ieeexplore.ieee.org
In this paper, we present a digital processing in memory (DPIM) configured as a stride edge-
detection search frequency neural network (SE-SFNN) which is trained through spike …
detection search frequency neural network (SE-SFNN) which is trained through spike …
[PDF][PDF] A Stochastic Computing Scheme of Embedding Random Bit Generation and Processing in Computational Random Access Memory (SC-CRAM)
Stochastic computing (SC) has emerged as a promising solution for performing complex
functions on large amounts of data to meet future computing demands. However, the …
functions on large amounts of data to meet future computing demands. However, the …
Efficient and Reliable In-Memory Computing Systems Using Emerging Technologies: From Device to Algorithm
M Zabihi - 2021 - search.proquest.com
Big data applications are memory-intensive, and the cost of bringing data from the memory
to the processor involves large overheads in energy and processing time. This has driven …
to the processor involves large overheads in energy and processing time. This has driven …
Domain wall-based artificial neurons for neuromorphic computing
WWL Mah - 2023 - dr.ntu.edu.sg
Artificial Intelligence (AI) has been gaining popularity recently. However, the execution of AI
in conventional devices with the von Neumann architecture incurred high energy …
in conventional devices with the von Neumann architecture incurred high energy …
Magnetic Tunnel Junctions for Next Generation of Conventional and Unconventional Computing Schemes
B Zink - 2022 - search.proquest.com
Magnetic tunnel junctions (MTJs) have several novel features that make them promising
devices for next generation memory and computing technologies. These features include …
devices for next generation memory and computing technologies. These features include …