The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Nonvolatile memristor memory: device characteristics and design implications
Abstract
The search for new nonvolatile universal memories is propelled by the need for pushing power-efficient nanocomputing to the next higher level. As a potential contender for the next-generation memory technology of choice, the recently found "the missing fourth circuit element", memristor, has drawn a great deal of research interests. In this paper, we characterize the fundamental electrical properties of memristor devices by encapsulating them into a set of compact closed-form expressions. Our derivations provide valuable design insights and allow a deeper understanding of key design implications of memristor-based memories. In particular, we investigate the design of read and write circuits and analyze data integrity and noise-tolerance issues.
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Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,828
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268
Memristive switching mechanism for metal/oxide/metal nanodevices
Yang, J. J., Pickett, M. D., Li, X., Ohlberg, D. A. A., Stewart, D. R., & Williams, R. S. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.160 · Cited by 2,987
Memristive devices and systems
Chua, L. O., & Kang, S. M. (1976) · Proceedings of the IEEE · doi:10.1109/proc.1976.10092 · Cited by 2,604 · cited 1×
“In this paper, we characterize the fundamental electrical properties of memristor devices by encapsulating them into a set of compact closed-form expressions.”
BackgroundA hybrid nanomemristor/transistor logic circuit capable of self-programming
Borghetti, J., Li, Z., Straznicky, J., Li, X., Ohlberg, D. A. A., Wu, W., Stewart, D. R., & Williams, R. S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806642106 · Cited by 270
Cited by
ISAAC: a convolutional neural network accelerator with in-situ analog arithmetic in crossbars
Shafiee, A., Nag, A., Muralimanohar, N., Balasubramonian, R., Strachan, J. P., Hu, M., Williams, R. S., & Srikumar, V. (2016) · ACM SIGARCH Computer Architecture News · doi:10.1145/3007787.3001139 · Cited by 1,536
Kvatinsky, S., Belousov, D., Liman, S., Satat, G., Wald, N., Friedman, E. G., Kolodny, A., & Weiser, U. C. (2014) · IEEE Transactions on Circuits and Systems II: Express Briefs · doi:10.1109/tcsii.2014.2357292 · Cited by 835
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars
Shafiee, A., Nag, A., Muralimanohar, N., Balasubramonian, R., Strachan, J. P., Hu, M., Williams, R. S., & Srikumar, V. (2016) · 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA) · doi:10.1109/isca.2016.12 · Cited by 775
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
Hu, M., Li, H., Chen, Y., Wu, Q., Rose, G. S., & Linderman, R. W. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2296777 · Cited by 414
Logic Design Within Memristive Memories Using Memristor-Aided loGIC (MAGIC)
Talati, N., Gupta, S., Mane, P., & Kvatinsky, S. (2016) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2016.2570248 · Cited by 339
Metadata
- Authors
- Ho, Y., Huang, G. M., & Li, P.
- Venue
- Proceedings of the 2009 International Conference on Computer-Aided Design
- Publisher
- ACM
- Published
- 2009-11-02
- Pages
- 485-490
- OpenAlex
- W1968288892
- Cited by
- 272
- References
- 5
- FWCI
- 30.24
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ho, Y., Huang, G. M., & Li, P. (2009). Nonvolatile memristor memory: device characteristics and design implications. Proceedings of the 2009 International Conference on Computer-Aided Design. https://doi.org/10.1145/1687399.1687491
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
