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Published in 2020 at "Journal of Materials Science: Materials in Electronics"
DOI: 10.1007/s10854-020-04190-0
Abstract: An YBCO-based test structure corresponding to the family of ReRAM devices associated with the valence change mechanism is presented. We have characterized its electrical response previous to its lift-off to a Low Earth Orbit (LEO)…
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Keywords:
low earth;
non volatile;
earth orbit;
reram ... See more keywords
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Published in 2019 at "Microelectronics Reliability"
DOI: 10.1016/j.microrel.2019.113443
Abstract: Abstract Experiments on total ionizing dose (TID) by cobalt-60 and single event effects (SEE) by pulsed laser and heavy ions were conducted on a 4 Mb commercial ReRAM from Fujitsu. The bit cell features two-transistor-two-resistor (2T2R)…
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Keywords:
total ionization;
ionization dose;
reram;
event effects ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3223657
Abstract: In this work, we experimentally characterize the endurance of 2 Mbit resistive switching random access memories (ReRAMs) from a 16 MBit test-chip. Here, very rare failure events where the memory cells become stuck in the…
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Keywords:
endurance;
mbit based;
reram;
based beol ... See more keywords
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Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3196678
Abstract: Computing-in-memory (CIM) based on Resistive RAM (ReRAM) can effectively improve the energy efficiency and throughput of artificial intelligence (AI) edge devices. However, due to the complex hardware structure and the non-ideal factors of the circuit,…
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Keywords:
reram;
output;
accelerator;
energy efficiency ... See more keywords
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1
Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3212314
Abstract: Computing-In-memory (CIM) accelerators have the characteristics of storage and computing integration, which has the potential to break through the limit of Moore’s law and the bottleneck of Von-Neumann architecture for convolutional neural networks (CNN) implementation…
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Keywords:
bit;
reram;
energy;
accelerator ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3148858
Abstract: Though ReRAM has been greatly successful in reducing energy consumption of various neural networks, it still suffers write amplification in energy, which impedes ReRAM to provide efficient storage for the ubiquitous streaming data in CNNs,…
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Keywords:
reram;
energy;
cnns;
racetrack reram ... See more keywords
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Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2020.3013194
Abstract: The growing popularity of convolutional neural networks (CNNs) along with their complexity has led to the search for efficient computational platforms suitable for them. Resistive random-access memory (ReRAM)-based architectures offer a promising alternative to commonly…
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Keywords:
reram;
high accuracy;
accuracy;
training cnns ... See more keywords
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Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3121264
Abstract: Transformer-based language models have become the de-facto standard model for various NLP applications given the superior algorithmic performances. Processing a transformer-based language model on a conventional accelerator induces the memory wall problem, and the ReRAM-based…
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Keywords:
reram;
language model;
reram based;
transformer based ... See more keywords
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Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3184464
Abstract: Resistive random-access memory (ReRAM) offers a potential solution to accelerate the inference of deep neural networks by performing processing-in-memory. However, the peripheral circuits of ReRAM crossbars used to perform arithmetic operations consume significant amounts of…
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Keywords:
reram based;
reram;
energy;
accelerator ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3165352
Abstract: A novel Resistive random access memory (ReRAM)-based Compute-in-memory (CIM) macro is proposed to overcome the limited accuracy and throughput of a conventional ReRAM-based CIM macro that results from to the low R-Ratio and large variation…
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Keywords:
reram;
memory reram;
low ratio;
variation ... See more keywords
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Published in 2018 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2017.2778246
Abstract: Among the emerging types of memory, resistive random-access memory (ReRAM) units offer faster write speeds and consume less power than those of flash memory units. With the advancement of 3-D stack technology, 3-D nonvolatile memories…
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Keywords:
reram;
bit nonlinear;
read scheme;
nonlinear sub ... See more keywords