Hardware Implementation of SM4 Encryption Algorithm with Hybrid Stochastic Computing
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4465-7_5
Reference14 articles.
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3. Xie, Z., Yuan, C., Li, L., Wu, J.: Energy-efficient stochastic computing for convolutional neural networks by using kernel-wise parallelism. In: 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, pp. 1–5 (2023)
4. Najafi, M.H., Lilja, D.J., Riedel, M.: Deterministic methods for stochastic computing using low-discrepancy sequences. In: 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), San Diego, CA, USA, pp. 1–8 (2018)
5. Sim, H., Lee, J.: A new stochastic computing multiplier with application to deep convolutional neural networks. In: 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC), Austin, TX, USA, pp. 1–6 (2017)
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