Memristor based computation-in-memory architecture for data-intensive applications

S. Hamdioui, L. Xie, H.A.D. Nguyen, M. Taouil, K. Bertels, H. Corporaal, H. Jiao, F. Catthoor, D. Wouters, L. Eike, J. Van Lunteren

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

146 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, DATE 2015, 9-13 March 2015, Grenoble, France
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)978-3-9815-3705-5
ISBN (Print)978-1-4799-6404-8
Publication statusPublished - 22 Apr 2015
Event18th Design, Automation and Test in Europe Conference and Exhibition (DATE 2015) - Alpexpo Congress Centre, Grenoble, France
Duration: 9 Mar 201513 Mar 2015
Conference number: 18


Conference18th Design, Automation and Test in Europe Conference and Exhibition (DATE 2015)
Abbreviated titleDATE 2015
Internet address


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