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- W4308575315 abstract "Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementation of arithmetic and logic operations for numerous applications, such as neuromorphic computing and database query. However, memristor-based CIM suffers from various non-idealities such as conductance drift, read disturb, wire parasitics, endurance and device degradation. These negatively impact the computation accuracy of CIM. It is therefore essential to deal with these non-idealities and fabrication imperfections in order to harness the full potential of CIM. This paper discusses the non-ideality challenges and provides potential solutions. Furthermore, the paper outlines the potential future directions for CIM architectures." @default.
- W4308575315 created "2022-11-12" @default.
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- W4308575315 date "2022-10-03" @default.
- W4308575315 modified "2023-09-23" @default.
- W4308575315 title "Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs" @default.
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- W4308575315 doi "https://doi.org/10.1109/vlsi-soc54400.2022.9939618" @default.
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