Hybrid CMOS-memristor based FPGA architecture

Sampath, Madankumar; Mane, Pravin; Ramesha, C. K.

doi:10.1109/vlsi-sata.2015.7050461

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Memristor-based logic has a remarkable ability that allows arranging memory cells on a single chip. Memristors can be applied in the development of switching units in field-programmable gate array (FPGA) (Sampath, Mane & Ramesha, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Market for memristors and data mining memory structures for promising smart systems

Vlasov¹,

Gudoshnikov²,

Zhalnin³

et al. 2020

JESI

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The article examines the market for promising memristor-based memories for smart systems. The implementation of smart systems is characterized by the widespread use cyber-physical systems, predictive maintenance, AR/VR (Augmented/Virtual Reality) technologies, the Internet of Things (IoT), and Machine Learning algorithms. To stimulate their development, an increasing amount of computational resources and new data storage technologies is required. The current study aims to analyze the development of today's memristive technologies market in the context of their influence on the development of smart systems. The authors discuss the key stages of the market's formation and assess the possible effect of memristive technology on various spheres of society's life. The research results show that the application of memristive technology can affect the development dynamics of both data mining and promising data storage systems. The estimates obtained demonstrate that the memristor market is highly competitive and there are a considerable number of active participants operating on it. The majority of companies expand their market presence by entering various end-user segments. The annual market growth rate will average about 80% and reach an estimate of USD 8.9 billion by 2024 and USD 13.5 billion by 2027.

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Section: Literature Reviewmentioning

confidence: 99%

Market for memristors and data mining memory structures for promising smart systems

Vlasov¹,

Gudoshnikov²,

Zhalnin³

et al. 2020

JESI

View full text Add to dashboard Cite

show abstract

“…Memristor-based self healing circuits have been presented by Gu et al [56]. Sampath et al [57] present a CMOS-memristor based FPGA architecture for memory cells.…”

Section: Non-cmos and Hybrid Solutionsmentioning

confidence: 99%

Recent trends in neuromorphic engineering

Soman

Jayadeva

2016

Big Data Anal

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Neuromorphic Engineering has emerged as an exciting research area, primarily owing to the paradigm shift from conventional computing architectures to data-driven, cognitive computing. There is a diversity of work in the literature pertaining to neuromorphic systems, devices and circuits. This review looks at recent trends in neuromorphic engineering and its sub-domains, with an attempt to identify key research directions that would assume significance in the future. We hope that this review would serve as a handy reference to both beginners and experts, and provide a glimpse into the broad spectrum of applications of neuromorphic hardware and algorithms. Our survey indicates that neuromorphic engineering holds a promising future, particularly with growing data volumes, and the imminent need for intelligent, versatile computing.

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“…Cong et al [21] showed significant area savings on the existing CMOS-compatible memristor fabrication process by using memristors for programmable interconnects and laying them over logic blocks. Sampath et al [49] showed memristorbased routing crossbars while Guo et al [56] demonstrated a memristor-based logic cell to be a potential candidate for LUT implementation.…”

Section: All-spintronic Nand-nor Cell-based Fpgamentioning

confidence: 99%

A Survey of FPGA Logic Cell Designs in the Light of Emerging Technologies

et al. 2021

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The functional component for an FPGA is the logic element which enables it to adapt to various hardware descriptions. This behavior is mostly due to the MUX-like functional flexibility provided by these logic elements or cells. However, in recent years, decelerating transistor sizing as per Moore's law has led to diminishing power, area and delay returns over cost [22]. Hence, the idea of venturing into FPGA logic cell designs based on emerging technologies is becoming not merely attractive, but even inescapable. The present work surveys various conventional and non-conventional logic cell designs proposed in the literature by identifying four logic design families, namely LUT-based, cone-based, matrix/cluster-based and transistor array-based. We then carry out a detailed comparison at two levels -a quantitative comparison based on metrics like power, delay and area which govern the overall performance of various FPGA architectures and secondly a qualitative comparison on factors which are important considering the ease of mainstream adoption. We highlight the importance of introducing and co-optimizing novel devices and architectures to maximize the overall FPGA performance.

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Hybrid CMOS-memristor based FPGA architecture

Cited by 8 publications

References 12 publications

Market for memristors and data mining memory structures for promising smart systems

Market for memristors and data mining memory structures for promising smart systems

Recent trends in neuromorphic engineering

A Survey of FPGA Logic Cell Designs in the Light of Emerging Technologies

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