Modeling and testing comparison faults of memristive ternary content addressable memories

Deng, Li-Wei; Li, Jin-Fu; Chen, Yong-Xiao

doi:10.1109/ets.2018.8400695

Cited by 1 publication

(1 citation statement)

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“…In [20], [45], Bayram et al studied the use of various memristive materials, including magnetic tunnel junctions (MTJs), for TCAM architectures and analyzed the performance for various hardware configurations. The directions of some researches, not directly related to our research, include fault tolerance in memristive TCAM architectures [46], memristor-CMOS based CAM architectures [47], memristor-based crossbar architectures for pattern matching applications [18], inmemory computing analysis using resistive TCAMs [48], read circuits for memristive architectures [49] and CAM cell designs using FeFET cells [50]. In comparison to previous researches, we aimed for a general purpose design that allows to integrate and even compare different types of memristors.…”

Section: Related Workmentioning

confidence: 99%

TCAmM^CogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing

Saleh

Goossens

Banerjee

et al. 2022

2022 IEEE International Conference on Rebooting Computing (ICRC)

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The Internet relies heavily on programmable matchaction processors for matching network packets against locally available network rules and taking actions, such as forwarding and modification of network packets. This match-action process must be performed at high speed, i.e., commonly within one clock cycle, using a specialized memory unit called Ternary Content Addressable Memory (TCAM). Building on transistorbased CMOS designs, state-of-the-art TCAM architectures have high energy consumption and lack resilient designs for incorporating novel technologies for performing appropriate actions. In this article, we motivate the use of a novel fundamental component, the 'Memristor', for the development of TCAM architecture for match-action processing. Memristors can provide energy efficiency, non-volatility and better resource density as compared to transistors. We have proposed a novel memristorbased TCAM architecture called TCAmM CogniGron , built upon the voltage divider principle and requiring only two memristors and five transistors for storage and search operations compared to sixteen transistors in the traditional TCAM architecture. We analyzed its performance over an experimental data set of Nbdoped SrTiO 3 -based memristor. The analysis of TCAmM CogniGron showed promising power consumption statistics of 16 µW and 1 µW for match and mismatch operations along with twice the improvement in resources density as compared to the traditional architectures.

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Section: Related Workmentioning

confidence: 99%

TCAmM^CogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing

Saleh

Goossens

Banerjee

et al. 2022

2022 IEEE International Conference on Rebooting Computing (ICRC)

View full text Add to dashboard Cite

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Modeling and testing comparison faults of memristive ternary content addressable memories

Cited by 1 publication

References 23 publications

TCAmM^CogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing

TCAmM^CogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing

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Modeling and testing comparison faults of memristive ternary content addressable memories

Cited by 1 publication

References 23 publications

TCAmMCogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing

TCAmMCogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing

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TCAmM^CogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing

TCAmM^CogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing