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cs.ET2022★ 9 cited
A Non-Volatile All-Spin Non-Binary Matrix Multiplier: An Efficient Hardware Accelerator for Machine Learning
Rahnuma Rahman, Supriyo Bandyopadhyay
We propose and analyze a compact and non-volatile nanomagnetic (all-spin) non-binary matrix multiplier performing the multiply-and-accumulate (MAC) operation using two magnetic tun…
cond-mat.mes-hall2022★ 12 cited
Robustness of binary stochastic neurons implemented with low barrier nanomagnets made of dilute magnetic semiconductors
Rahnuma Rahman, Supriyo Bandyopadhyay
Binary stochastic neurons (BSNs) are excellent hardware accelerators for machine learning. A popular platform for implementing them are low- or zero-energy barrier nanomagnets poss…