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Data movement elimination with dual in-memory computing architecture

  • Wang Kang*
  • , Jing Kou
  • , Liang Zhang
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalComment/debate

Abstract

Wang et al. reported in Device an innovative in-memory computing (IMC) architecture that stores both inputs and weights within the IMC array. This architecture eliminates data movement and the usage of digital-to-analog converters (DACs), achieving low power consumption and high throughputs. The good scalability on all resistive-memory-based IMC arrays indicates promising potential in signal processing and artificial neural networks.

Original languageEnglish
Article number100648
JournalDevice
Volume2
Issue number12
DOIs
StatePublished - 20 Dec 2024

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