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

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 toda...

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Vydáno v:2015 Design, Automation & Test in Europe Conference & Exhibition (DATE) s. 1718 - 1725
Hlavní autoři: Hamdioui, Said, Xie, Lei, Du Nguyen, Hoang Anh, Taouil, Mottaqiallah, Bertels, Koen, Corporaal, Henk, Jiao, Hailong, Catthoor, Francky, Wouters, Dirk, Eike, Linn, van Lunteren, Jan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: EDAA 01.03.2015
Témata:
Adders
CMOS integrated circuits
Computer integrated manufacturing
Computers
Memory management
Memristors
ISSN:1530-1591
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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.
AbstractList 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.
Author Taouil, Mottaqiallah
van Lunteren, Jan
Xie, Lei
Du Nguyen, Hoang Anh
Eike, Linn
Wouters, Dirk
Hamdioui, Said
Catthoor, Francky
Bertels, Koen
Corporaal, Henk
Jiao, Hailong
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  givenname: Hoang Anh
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  organization: Electronic Systems group, Eindhoven University of Technology, Eindhoven, The Netherlands
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  surname: Catthoor
  fullname: Catthoor, Francky
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  organization: IMEC, Kapeldreef 75, B-3001 Leuven, Belgium
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  organization: IMEC, Kapeldreef 75, B-3001 Leuven, Belgium
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  givenname: Linn
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  organization: RWTH Aachen University Aachen, Germany
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  givenname: Jan
  surname: van Lunteren
  fullname: van Lunteren, Jan
  email: jvl@zurich.ibm.com
  organization: IBM Research Laboratory Zurich, Switzerland
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Snippet 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...
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SubjectTerms Adders
CMOS integrated circuits
Computer integrated manufacturing
Computers
Memory management
Memristors
Title Memristor based computation-in-memory architecture for data-intensive applications
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