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- W4225916833 abstract "Associative memories (AMs), which efficiently “associate” input queries with appropriate data words/locations in the memory, are powerful in-memory-computing cores. Harnessing the benefits of AMs requires cross-layer design efforts that span from devices and circuits to architectures and applications. This paper showcases representative AM designs based on different non-volatile memory technologies (resistive RAM (RRAM), ferroelectric FETs (FeFETs), and Flash). End-to-end evaluations for machine learning applications are discussed to demonstrate the benefits derived from each design layer, which can serve as a guide for future research efforts." @default.
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- W4225916833 date "2021-12-11" @default.
- W4225916833 modified "2023-10-16" @default.
- W4225916833 title "In-Memory Computing with Associative Memories: A Cross-Layer Perspective" @default.
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- W4225916833 doi "https://doi.org/10.1109/iedm19574.2021.9720562" @default.
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