2024
DOI: 10.1038/s44287-023-00002-9
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High-speed emerging memories for AI hardware accelerators

Anni Lu,
Junmo Lee,
Tae-Hyeon Kim
et al.

Abstract: Applications of artificial intelligence (AI) necessitate AI hardware accelerators able to efficiently process data-intensive and computationintensive AI workloads. AI accelerators require two types of memory: the weight memory that stores the parameters of the AI models and the buffer memory that stores the intermediate input or output data when computing a portion of the AI models. In this Review, we present the recent progress in the emerging high-speed memory for AI hardware accelerators and survey the tech… Show more

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Cited by 12 publications
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