The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A new golden age for computer architecture
Abstract
Innovations like domain-specific hardware, enhanced security, open instruction sets, and agile chip development will lead the way.
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Citations
Cites
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Self-citation
Research works printed but not linked: 34
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Cited by
There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
Leiserson, C. E., Thompson, N. C., Emer, J. S., Kuszmaul, B. C., Lampson, B. W., Sanchez, D., & Schardl, T. B. (2020) · Science · doi:10.1126/science.aam9744 · Cited by 469
Cloud Programming Simplified: A Berkeley View on Serverless Computing
Jonas, E., Schleier-Smith, J., Sreekanti, V., Tsai, C.-C., Khandelwal, A., Pu, Q., Shankar, V., Carreira, J., Krauth, K., Yadwadkar, N. J., et al. (2019) · arXiv (Cornell University) · doi:10.4230/oasics.microservices.2020-2022.5 · Cited by 409
Self-citationA domain-specific supercomputer for training deep neural networks
Jouppi, N. P., Yoon, D. H., Kurian, G., Li, S., Patil, N., Laudon, J., Young, C., & Patterson, D. (2020) · Communications of the ACM · doi:10.1145/3360307 · Cited by 258
Self-citationBringing ai to edge: from deep learning’s perspective
Liu, D., Kong, H., Luo, X., Liu, W., & Subramaniam, R. (2022) · Neurocomputing · doi:10.1016/j.neucom.2021.04.141 · Cited by 171
“The academia and industry have a consensus that the breakthroughs in hardware architecture will bring DNNs to a new level and boost DNN adoption [15] [205].”
BackgroundMixed-Signal Computing for Deep Neural Network Inference
Murmann, B. (2021) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2020.3020286 · Cited by 160
Metadata
- Authors
- Hennessy, J. L., & Patterson, D. A.
- Venue
- Communications of the ACM
- Published
- 2019-01-28
- Volume
- 62
- Issue
- 2
- Pages
- 48-60
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2912012512
- Cited by
- 690
- References
- 1
- FWCI
- 83.07
- Type
- journal article
- Language
- en
- Open access
- closed
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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.