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Memory leads the way to better computing
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Citations
Cites
Redox‐Based Resistive Switching Memories – Nanoionic Mechanisms, Prospects, and Challenges
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Nanoionics-based resistive switching memories
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Cited by
Memory devices and applications for in-memory computing
Sebastian, A., Le Gallo, M., Khaddam-Aljameh, R., & Eleftheriou, E. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0655-z · Cited by 2,289
In-memory computing with resistive switching devices
Ielmini, D., & Wong, H.-S. P. (2018) · Nature Electronics · doi:10.1038/s41928-018-0092-2 · Cited by 2,298
“New and emerging non-volatile memory concepts have also been introduced into the traditional memory hierarchy to reduce the ‘distance’ between computing and the data 9 .”
BackgroundSelf-citationFully hardware-implemented memristor convolutional neural network
Yao, P., Wu, H., Gao, B., Tang, J., Zhang, Q., Zhang, W., Yang, J. J., & Qian, H. (2020) · Nature · doi:10.1038/s41586-020-1942-4 · Cited by 2,179
Face classification using electronic synapses
Yao, P., Wu, H., Gao, B., Eryilmaz, S. B., Huang, X., Zhang, W., Zhang, Q., Deng, N., Shi, L., Wong, H.-S. P., et al. (2017) · Nature Communications · doi:10.1038/ncomms15199 · Cited by 909
Self-citationNeuromorphic computing with multi-memristive synapses
Boybat, I., Le Gallo, M., Nandakumar, S. R., Moraitis, T., Parnell, T., Tuma, T., Rajendran, B., Leblebici, Y., Sebastian, A., & Eleftheriou, E. (2018) · Nature Communications · doi:10.1038/s41467-018-04933-y · Cited by 899
Metadata
- Authors
- Wong, H.-S. P., & Salahuddin, S.
- Venue
- Nature Nanotechnology
- Published
- 2015-03
- Volume
- 10
- Issue
- 3
- Pages
- 191-194
- ISSN
- 1748-3387 (ISSN-L)
- 1748-3395
- OpenAlex
- W2030671441
- Cited by
- 956
- References
- 2
- FWCI
- 30.63
- Type
- journal article
- Language
- en
- Update notices
- correction (2015-08-05)
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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- Wong, H.-S. P., & Salahuddin, S. (2015). Memory leads the way to better computing. Nature Nanotechnology. https://doi.org/10.1038/nnano.2015.29
Data sources
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.
