Chen, Y., Krishna, T., Emer, J. S., & Sze, V. (2017). Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. IEEE journal of solid-state circuits, 52(1), 127-138. https://doi.org/10.1109/JSSC.2016.2616357
Chicago Style (17th ed.) CitationChen, Yu-Hsin, Tushar Krishna, Joel S. Emer, and Vivienne Sze. "Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks." IEEE Journal of Solid-state Circuits 52, no. 1 (2017): 127-138. https://doi.org/10.1109/JSSC.2016.2616357.
MLA (9th ed.) CitationChen, Yu-Hsin, et al. "Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks." IEEE Journal of Solid-state Circuits, vol. 52, no. 1, 2017, pp. 127-138, https://doi.org/10.1109/JSSC.2016.2616357.