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cs.ET2024
Reconfigurable Stochastic Neurons Based on Strain Engineered Low Barrier Nanomagnets
Rahnuma Rahman, Samiran Ganguly, Supriyo Bandyopadhyay
Stochastic neurons are efficient hardware accelerators for solving a large variety of combinatorial optimization problems. "Binary" stochastic neurons (BSN) are those whose states…
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…