Tolerating Noise Effects in Processing‐in‐Memory Systems for Neural Networks: A Hardware–Software Codesign Perspective

Neural networks have been widely used for advanced tasks from image recognition to natural language processing. Many recent works focus on improving the efficiency of executing neural networks in diverse applications. Researchers have advocated processing‐in‐memory (PIM) architecture as a promising...

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Hlavní autoři:	Xiaoxuan Yang, Changming Wu, Mo Li, Yiran Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2022-08-01
Edice:	Advanced Intelligent Systems
Témata:	hardware–software codesign noise processing-in-memory resistive random-access memory
On-line přístup:	https://doi.org/10.1002/aisy.202200029
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