APA (7th ed.) Citation

Shivanandamurthy, S. M., Vatsavai, S. S., Thakkar, I., & Salehi, S. A. (2023, April 5). AGNI: In-Situ, Iso-Latency Stochastic-to-Binary Number Conversion for In-DRAM Deep Learning. Proceedings / IEEE International Symposium on Quality Electronic Design, 1-8. https://doi.org/10.1109/ISQED57927.2023.10129301

Chicago Style (17th ed.) Citation

Shivanandamurthy, Supreeth Mysore, Sairam Sri Vatsavai, Ishan Thakkar, and Sayed Ahmad Salehi. "AGNI: In-Situ, Iso-Latency Stochastic-to-Binary Number Conversion for In-DRAM Deep Learning." Proceedings / IEEE International Symposium on Quality Electronic Design 5 Apr. 2023: 1-8. https://doi.org/10.1109/ISQED57927.2023.10129301.

MLA (9th ed.) Citation

Shivanandamurthy, Supreeth Mysore, et al. "AGNI: In-Situ, Iso-Latency Stochastic-to-Binary Number Conversion for In-DRAM Deep Learning." Proceedings / IEEE International Symposium on Quality Electronic Design, 5 Apr. 2023, pp. 1-8, https://doi.org/10.1109/ISQED57927.2023.10129301.