Journal article Open Access

Memory devices and applications for in-memory computing

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


JSON-LD (schema.org) Export

{
  "description": "<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>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "IBM Research - Zurich", 
      "@type": "Person", 
      "name": "Sebastian, Abu"
    }, 
    {
      "affiliation": "IBM Research - Zurich", 
      "@type": "Person", 
      "name": "Le Gallo, Manuel"
    }, 
    {
      "affiliation": "IBM Research - Zurich", 
      "@type": "Person", 
      "name": "Khaddam-Aljameh, Riduan"
    }, 
    {
      "affiliation": "IBM Research - Zurich", 
      "@type": "Person", 
      "name": "Eleftheriou, Evangelos"
    }
  ], 
  "headline": "Memory devices and applications for in-memory computing", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-03-30", 
  "url": "https://zenodo.org/record/3969876", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1038/s41565-020-0655-z", 
  "@id": "https://doi.org/10.1038/s41565-020-0655-z", 
  "@type": "ScholarlyArticle", 
  "name": "Memory devices and applications for in-memory computing"
}
23
21
views
downloads
Views 23
Downloads 21
Data volume 36.5 MB
Unique views 23
Unique downloads 20

Share

Cite as