APA (7th ed.) Citation

Reis, D., Takeshita, J., Jung, T., Niemier, M., & Hu, X. S. (2020). Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption. IEEE transactions on very large scale integration (VLSI) systems, 28(11), 2300-2313. https://doi.org/10.1109/TVLSI.2020.3017595

Chicago Style (17th ed.) Citation

Reis, Dayane, Jonathan Takeshita, Taeho Jung, Michael Niemier, and Xiaobo Sharon Hu. "Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28, no. 11 (2020): 2300-2313. https://doi.org/10.1109/TVLSI.2020.3017595.

MLA (9th ed.) Citation

Reis, Dayane, et al. "Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption." IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 11, 2020, pp. 2300-2313, https://doi.org/10.1109/TVLSI.2020.3017595.