Memristor Based Computation-in-Memory Architecture for Data-Intensive Applications

Said Hamdioui, Lei Xie, Hoang Anh Du Nguyen, Mottaqiallah Taouil, Koen Bertels, Henk Corporaal, Hailong Jiao, Francky Catthoor, Dirk Wouters, Linn Eike, Jan van Lunteren

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

118 Citations (Scopus)


One of the most critical challenges for today's and future data-intensive and big-data problems is data storage and analysis. This paper first highlights some challenges of the new born Big Data paradigm and shows that the increase of the data size has already surpassed the capabilities of today's computation architectures suffering from the limited bandwidth, programmability overhead, energy inefficiency, and limited scalability. Thereafter, the paper introduces a new memristor-based architecture for data-intensive applications. The potential of such an architecture in solving data-intensive problems is illustrated by showing its capability to increase the computation efficiency, solving the communication bottleneck, reducing the leakage currents, etc. Finally, the paper discusses why memristor technology is very suitable for the realization of such an architecture; using memristors to implement dual functions (storage and logic) is illustrated.
Original languageEnglish
Title of host publicationProceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition
EditorsW. Nebel
Place of PublicationPiscataway, NJ
Number of pages8
ISBN (Electronic)978-3-9815-3705-5
Publication statusPublished - Mar 2015
Event2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015 - Grenoble, France
Duration: 9 Mar 201513 Mar 2015


Conference2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015
Abbreviated titleDATE


  • Memristors
  • Computer integrated manufacturing
  • Computers
  • CMOS integrated circuits
  • Adders
  • Memory management


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