A Systematic Review of Approximate Adders: Accuracy and Performance Analysis-Reference-Cited by-同舟云学术

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A Systematic Review of Approximate Adders: Accuracy and Performance Analysis

Published:2020-10-18 Issue: Volume: Page:689-696
ISSN:2194-5357
Container-title:Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
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Author:

Lakshmi Akhila M.,Jagadeeswara Rao E.,Krishna R. V. V.,Nandan Durgesh

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-7234-0_65

Reference36 articles.

1. Kosovichev AG, Severny AB (2018) On the stability of solar gravity mode oscillations and the structure of the sun. Liege Int Astrophys Colloq 25:278–282. https://doi.org/10.1109/ETS.2013.6569370

2. Mittal S (2016) A survey of techniques for approximate computing. ACM Comput Surv 48:4. https://doi.org/10.1145/2893356

3. Sidiroglou S et al (2011) Managing performance vs. accuracy trade-offs with loop perforation. In: SIGSOFT/FSE 2011—proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on foundations of software engineering, pp 124–134. https://doi.org/10.1145/2025113.2025133

4. Zhang Q et al (2014) ApproxIt: an computing framework approximate for iterative methods. In: Proceedings of the 51st annual design automation conference. https://doi.org/10.1145/2593069.2593092

5. Zadeh LA (1994) Fuzzy logic, neural networks, and soft computing. Commun ACM 37(3):77–84. https://doi.org/10.1145/175247.175255

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Evaluation of Approximate Adders: Case Study;International Journal of Engineering and Advanced Technology;2022-10-30

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