APA引文

Zhu, S., Huai, S., Xiong, G., Liu, W., & Engineering, S. o. C. S. a. (2023). iMAT: Energy-efficient in-memory acceleration for ternary neural networks with sparse dot product.

Chicago Style Citation

Zhu, Shien, Shuo Huai, Guochu Xiong, Weichen Liu, and School of Computer Science and Engineering. IMAT: Energy-efficient In-memory Acceleration for Ternary Neural Networks With Sparse Dot Product. 2023.

MLA引文

Zhu, Shien, et al. IMAT: Energy-efficient In-memory Acceleration for Ternary Neural Networks With Sparse Dot Product. 2023.