Tunneling

Energy-efficient Logic-in-memory and Neuromorphic Computing in RSD MOSFETs

Energy-efficient Logic-in-memory and Neuromorphic Computing in RSD MOSFETs 150 150

Abstract:

This work highlights the potential application of raised source and drain (RSD) MOSFETs-based charge trapping memory (CTM) for next-generation computing applications. This simulation study presents a double gate (DG)-RSD MOSFET technology with a short gate length (50 nm) to significantly improve the performance of logic-in-memory (LIM) and neuromorphic computing (NC) …

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