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Approximate computing: An emerging paradigm for energy-efficient design
Abstract
Approximate computing has recently emerged as a promising approach to energy-efficient design of digital systems. Approximate computing relies on the ability of many systems and applications to tolerate some loss of quality or optimality in the computed result. By relaxing the need for fully precise or completely deterministic operations, approximate computing techniques allow substantially improved energy efficiency. This paper reviews recent progress in the area, including design of approximate arithmetic blocks, pertinent error and quality measures, and algorithm-level techniques for approximate computing.
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Cites
Stochastic computing elements and systems
Poppelbaum, W. J., Afuso, C., & Esch, J. W. (1967) · Proceedings of the November 14-16, 1967, fall joint computer conference on - AFIPS '67 (Fall) · doi:10.1145/1465611.1465696 · Cited by 114
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“An alternative to keep a high throughput and still employ a low-resolution DAC is using approximate computing 101 .”
Approximate Multipliers Based on New Approximate Compressors
Esposito, D., Strollo, A. G. M., Napoli, E., De Caro, D., & Petra, N. (2018) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2018.2839266 · Cited by 308
Web AR: A Promising Future for Mobile Augmented Reality—State of the Art, Challenges, and Insights
Qiao, X., Ren, P., Dustdar, S., Liu, L., Ma, H., & Chen, J. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2895105 · Cited by 293
IoT technologies for embedded computing: a survey
Samie, F., Bauer, L., & Henkel, J. (2016) · Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis · doi:10.1145/2968456.2974004 · Cited by 190
Metadata
- Authors
- Han, J., & Orshansky, M.
- Venue
- 2013 18TH IEEE EUROPEAN TEST SYMPOSIUM (ETS)
- Publisher
- IEEE
- Published
- 2013-05
- Pages
- 1-6
- ISSN
- 1530-1877 (ISSN-L)
- OpenAlex
- W2020217519
- Cited by
- 1,098
- References
- 1
- FWCI
- 68.37
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Han, J., & Orshansky, M. (2013). Approximate computing: An emerging paradigm for energy-efficient design. 2013 18TH IEEE EUROPEAN TEST SYMPOSIUM (ETS). https://doi.org/10.1109/ets.2013.6569370
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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.
