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

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

Computer Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

136 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition
Editors	W. Nebel
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1718-1725
Number of pages	8
ISBN (Electronic)	978-3-9815-3705-5
Publication status	Published - Mar 2015
Event	2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015 - Grenoble, France Duration: 9 Mar 2015 → 13 Mar 2015

Conference

Conference	2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015
Abbreviated title	DATE
Country/Territory	France
City	Grenoble
Period	9/03/15 → 13/03/15

Keywords

Memristors
Computer integrated manufacturing
Computers
CMOS integrated circuits
Adders
Memory management

Cite this

Hamdioui, S., Xie, L., Du Nguyen, H. A., Taouil, M., Bertels, K., Corporaal, H., Jiao, H., Catthoor, F., Wouters, D., Eike, L., & van Lunteren, J. (2015). Memristor Based Computation-in-Memory Architecture for Data-Intensive Applications. In W. Nebel (Ed.), Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition (pp. 1718-1725). IEEE.

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title = "Memristor Based Computation-in-Memory Architecture for Data-Intensive Applications",

abstract = "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.",

keywords = "Memristors, Computer integrated manufacturing, Computers, CMOS integrated circuits, Adders, Memory management",

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

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booktitle = "Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition",

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Hamdioui, S, Xie, L, Du Nguyen, HA, Taouil, M, Bertels, K, Corporaal, H, Jiao, H, Catthoor, F, Wouters, D, Eike, L & van Lunteren, J 2015, Memristor Based Computation-in-Memory Architecture for Data-Intensive Applications. in W Nebel (ed.), Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition. IEEE, Piscataway, NJ, pp. 1718-1725, 2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015, Grenoble, France, 9/03/15.

Memristor Based Computation-in-Memory Architecture for Data-Intensive Applications. / Hamdioui, Said; Xie, Lei; Du Nguyen, Hoang Anh et al.
Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition. ed. / W. Nebel. Piscataway, NJ: IEEE, 2015. p. 1718-1725.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Xie, Lei

AU - Du Nguyen, Hoang Anh

AU - Taouil, Mottaqiallah

AU - Bertels, Koen

AU - Corporaal, Henk

AU - Jiao, Hailong

AU - Catthoor, Francky

AU - Wouters, Dirk

AU - Eike, Linn

AU - van Lunteren, Jan

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N2 - 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.

AB - 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.

KW - Memristors

KW - Computer integrated manufacturing

KW - Computers

KW - CMOS integrated circuits

KW - Adders

KW - Memory management

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BT - Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition

A2 - Nebel, W.

PB - IEEE

CY - Piscataway, NJ

T2 - 2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015

Y2 - 9 March 2015 through 13 March 2015

ER -

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

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Conference

Keywords

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