Journal article Open Access

Memory devices and applications for in-memory computing

Sebastian, Abu; Le Gallo, Manuel; Khaddam-Aljameh, Riduan; Eleftheriou, Evangelos

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  "DOI": "10.1038/s41565-020-0655-z", 
  "author": [
      "family": "Sebastian, Abu"
      "family": "Le Gallo, Manuel"
      "family": "Khaddam-Aljameh, Riduan"
      "family": "Eleftheriou, Evangelos"
  "issued": {
    "date-parts": [
  "abstract": "<p>Traditional von Neumann computing systems involve separate processing and memory units. However, data<br>\nmovement is costly in terms of time and energy and this problem is aggravated by the recent explosive growth<br>\nin highly data-centric applications related to artificial intelligence. This calls for a radical departure from the<br>\ntraditional systems and one such non-von Neumann computational approach is in-memory computing. Hereby<br>\ncertain computational tasks are performed in place in the memory itself by exploiting the physical attributes of<br>\nthe memory devices. Both charge-based and resistance-based memory devices are being explored for in-memory<br>\ncomputing. In this Review, we provide a broad overview of the key computational primitives enabled by these<br>\nmemory devices as well as their applications spanning scientific computing, signal processing, optimization,<br>\nmachine learning, deep learning and stochastic computing.</p>", 
  "title": "Memory devices and applications for in-memory computing", 
  "note": "Invited Review article in Nature Nanotechnology", 
  "type": "article-journal", 
  "id": "3969876"
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