An 8-Bit in Resistive Memory Computing Core With Regulated Passive Neuron and Bitline Weight Mapping

The rapid development of artificial intelligence (AI) and Internet of Things (IoT) increase the requirement for edge computing with low power and relatively high processing speed devices. The computing-in-memory (CIM) schemes based on emerging resistive nonvolatile memory (NVM) show great potential...

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Veröffentlicht in:	IEEE transactions on very large scale integration (VLSI) systems 2022-04, Vol.30 (4), p.379-391
Hauptverfasser:	Zhang, Yewei, Huang, Kejie, Xiao, Rui, Wang, Bo, Xu, Yanfeng, Fan, Jicong, Shen, Haibin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Charge redistribution Common Information Model (computing) computing in-memory (CIM) Edge computing Internet of Things Linearity Mapping Memory devices Microprocessors Neural networks Neurons Nonvolatile memory nonvolatile memory (NVM) Power consumption Power demand Power management Quantization (signal) Random access memory Resistance resistance inconsistency weight quantization and mapping
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