| Compute-in-memory technologies and architectures for deep learning workloads M Ali, S Roy, U Saxena, T Sharma, A Raghunathan, K Roy IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (11 …, 2022 | 14 | 2022 |
| Magnetoresistive circuits and systems: Embedded non-volatile memory to crossbar arrays A Agrawal, C Wang, T Sharma, K Roy IEEE Transactions on Circuits and Systems I: Regular Papers 68 (6), 2281-2294, 2021 | 14 | 2021 |
| Enabling robust SOT-MTJ crossbars for machine learning using sparsity-aware device-circuit co-design T Sharma, C Wang, A Agrawal, K Roy 2021 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2021 | 12 | 2021 |
| FeFET-based synaptic cross-bar arrays for deep neural networks: Impact of ferroelectric thickness on device-circuit non-idealities and system accuracy C Wang, J Victor, AK Saha, X Chen, M Si, T Sharma, K Roy, PD Ye, ... 2023 Device Research Conference (DRC), 1-2, 2023 | 2 | 2023 |
| WWW: What, When, Where to Compute-in-Memory T Sharma, M Ali, I Chakraborty, K Roy arXiv preprint arXiv:2312.15896, 2023 | | 2023 |
Kaushik RoyProfessor of Electrical and Computer Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
