2017 13th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME) 2017
DOI: 10.1109/prime.2017.7974180
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A 200MHz 0.65fJ/(Bit·Search)1.152kb pipeline content addressable memory in 28nm CMOS

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Cited by 3 publications
(4 citation statements)
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“…For a legitimate comparison of the performance with the proposed design implementation, energy and delay of the referred designs are normalized using Equations ( 5) and ( 6) as presented in [4]. Reference 2016 [1] 2018 [9] 2018 [15] 2018 [20] 2019 [21] 2020 [22] 2019 [23] 2016 [25] 2017 [26]…”
Section: Performance Comparison Summarymentioning
confidence: 99%
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“…For a legitimate comparison of the performance with the proposed design implementation, energy and delay of the referred designs are normalized using Equations ( 5) and ( 6) as presented in [4]. Reference 2016 [1] 2018 [9] 2018 [15] 2018 [20] 2019 [21] 2020 [22] 2019 [23] 2016 [25] 2017 [26]…”
Section: Performance Comparison Summarymentioning
confidence: 99%
“…CAM cells based on adiabatic logic scheme allow energy recovery in order to improve energy efficiency [24]. Cascaded CAM design with OR-type cells [25] and pipeline CAM with NOR-ML [26] employ mismatch filtering to eliminate redundant ML discharges but cost huge delay due to sequential searching across several ML stages.…”
Section: Introductionmentioning
confidence: 99%
“…Content Addressable Memories (CAMs), also known as Associative Memories (AM), are very popular digital devices used for data storage and data processing applications. They are exploited, for example, as look up tables for IP addresses in network routers and find applications as well in data compression algorithms, database management, and image pattern recognition processing [1][2][3][4][5]. In recent years, they have also been exploited in Artificial Neural Networks [6,7] and hyperdimensional computing for Artificial Intelligence (AI) [8], where highly efficient associative memories tend to be a common specification.…”
Section: Introductionmentioning
confidence: 99%
“…However, this architecture might lead to an increase in power consumption, due to the contemporary and continuous comparison activity in every device cell [3]. For this reason, different hardware solutions, based on particular single-bit cells [3][4][5][9][10][11] or various power saving algorithms [11][12][13], have been explored in the past.…”
Section: Introductionmentioning
confidence: 99%