The following publications are possibly variants of this publication:
- Energy-Efficient Spin-Orbit Torque MRAM Operations for Neural Network ProcessorLiang Chang, Zixuan Zhu, Zhen Zhu, Siqi Yang, Weihang Li, Jun Zhou. iscas 2021: 1-5 [doi]
- Performance Benchmarking of Spin-Orbit Torque Magnetic RAM (SOT-MRAM) for Deep Neural Network (DNN) AcceleratorsYandong Luo, Piyush Kumar, Yu-Ching Liao, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Azad Naeemi, Shimeng Yu. imw2 2022: 1-4 [doi]
- NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI EdgeChih-Cheng Chang, Ming-Hung Wu, Jia-Wei Lin, Chun-Hsien Li, Vivek Parmar, Heng-Yuan Lee, Jeng-Hua Wei, Shyh-Shyuan Sheu, Manan Suri, Tian-Sheuan Chang, Tuo-Hung Hou. dac 2019: 30 [doi]
- Two-bit multi-level spin orbit torque MRAM with the fully one-step write operationChenyi Wang, Min Wang, Zhaohao Wang, Weisheng Zhao. icta3 2022: 142-143 [doi]
- STT-BNN: A Novel STT-MRAM In-Memory Computing Macro for Binary Neural NetworksThi-Nhan Pham, Quang-Kien Trinh, Ik Joon Chang, Massimo Alioto. esticas, 12(2):569-579, 2022. [doi]
- On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural NetworksAkhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy 0001. ijcnn 2019: 1-6 [doi]
- SpinLiM: Spin Orbit Torque Memory for Ternary Neural Networks Based on the Logic-in-Memory ArchitectureLichuan Luo, He Zhang, Jinyu Bai, Youguang Zhang, Wang Kang, Weisheng Zhao. date 2021: 1865-1870 [doi]
- SpinCIM: spin orbit torque memory for ternary neural networks based on the computing-in-memory architectureLichuan Luo, Dijun Liu, He Zhang, Youguang Zhang, Jinyu Bai, Wang Kang. ccfthpc, 4(4):421-434, December 2022. [doi]