Tanvi Sharma, Cheng Wang, Amogh Agrawal, Kaushik Roy 0001. Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design. In IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, Boston, MA, USA, July 26-28, 2021. pages 1-6, IEEE, 2021. [doi]
@inproceedings{SharmaWA021, title = {Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design}, author = {Tanvi Sharma and Cheng Wang and Amogh Agrawal and Kaushik Roy 0001}, year = {2021}, doi = {10.1109/ISLPED52811.2021.9502492}, url = {https://doi.org/10.1109/ISLPED52811.2021.9502492}, researchr = {https://researchr.org/publication/SharmaWA021}, cites = {0}, citedby = {0}, pages = {1-6}, booktitle = {IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, Boston, MA, USA, July 26-28, 2021}, publisher = {IEEE}, isbn = {978-1-6654-3922-0}, }