publication . Article . 2020

Memory devices and applications for in-memory computing

Abu Sebastian; Manuel Le Gallo; Riduan Khaddam-Aljameh; Evangelos Eleftheriou;
Open Access
  • Published: 30 Mar 2020
Traditional von Neumann computing systems involve separate processing and memory units. However, data movement is costly in terms of time and energy and this problem is aggravated by the recent explosive growth in highly data-centric applications related to artificial intelligence. This calls for a radical departure from the traditional systems and one such non-von Neumann computational approach is in-memory computing. Hereby certain computational tasks are performed in place in the memory itself by exploiting the physical attributes of the memory devices. Both charge-based and resistance-based memory devices are being explored for in-memory computing. In this R...
Persistent Identifiers
free text keywords: Electrical and Electronic Engineering, General Materials Science, Atomic and Molecular Physics, and Optics, Bioengineering, Condensed Matter Physics, Biomedical Engineering, Von Neumann architecture, symbols.namesake, symbols, Distributed computing, Computer science, In-Memory Processing, Signal processing, Stochastic computing, Artificial intelligence, business.industry, business, Deep learning, Computing systems
Related Organizations
Funded by
PROJECTED MEMRISTOR: A nanoscale device for cognitive computing
  • Funder: European Commission (EC)
  • Project Code: 682675
  • Funding stream: H2020 | ERC | ERC-COG
Any information missing or wrong?Report an Issue