Li, Yuan, Wang, Ke, Zheng, Hao, Louri, Ahmed, and Karanth, Avinash. Ascend: A Scalable and Energy-Efficient Deep Neural Network Accelerator With Photonic Interconnects. Retrieved from https://par.nsf.gov/biblio/10419530. IEEE Transactions on Circuits and Systems I: Regular Papers 69.7 Web. doi:10.1109/TCSI.2022.3169953.

Li, Yuan, Wang, Ke, Zheng, Hao, Louri, Ahmed, & Karanth, Avinash. Ascend: A Scalable and Energy-Efficient Deep Neural Network Accelerator With Photonic Interconnects. IEEE Transactions on Circuits and Systems I: Regular Papers, 69 (7). Retrieved from https://par.nsf.gov/biblio/10419530. https://doi.org/10.1109/TCSI.2022.3169953

Li, Yuan, Wang, Ke, Zheng, Hao, Louri, Ahmed, and Karanth, Avinash. "Ascend: A Scalable and Energy-Efficient Deep Neural Network Accelerator With Photonic Interconnects". IEEE Transactions on Circuits and Systems I: Regular Papers 69 (7). Country unknown/Code not available. https://doi.org/10.1109/TCSI.2022.3169953. https://par.nsf.gov/biblio/10419530.

@article{osti_10419530,
place = {Country unknown/Code not available}, title = {Ascend: A Scalable and Energy-Efficient Deep Neural Network Accelerator With Photonic Interconnects}, url = {https://par.nsf.gov/biblio/10419530}, DOI = {10.1109/TCSI.2022.3169953}, abstractNote = {}, journal = {IEEE Transactions on Circuits and Systems I: Regular Papers}, volume = {69}, number = {7}, author = {Li, Yuan and Wang, Ke and Zheng, Hao and Louri, Ahmed and Karanth, Avinash}, }