Smart Material Implication Using Spin-Transfer Torque Magnetic Tunnel Junctions for Logic-in-Memory Computing

نویسندگان

چکیده

Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-efficient Logic-in-Memory (LIM) architectures based on non-volatile resistive memory devices. The SIMPLY is enabled by adding a comparator to conventional IMPLY scheme. This allows performing preliminary READ operation and hence SET only in case it actually required. work explores scheme using nanoscale spin-transfer torque magnetic tunnel junction (STT-MTJ) performance STT-MTJ architecture analyzed varying load resistor applied voltages implement both operations, while also investigating effect temperature circuit operation. Obtained results show an existing tradeoff between error rate energy consumption, which can be effectively managed properly setting values voltages. In addition, our analysis proves that tracking dependence MTJ properties through proportional absolute (PTAT) reference voltage at input beneficial mitigate reliability degradation under variations.

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ژورنال

عنوان ژورنال: Solid-state Electronics

سال: 2022

ISSN: ['0038-1101', '1879-2405']

DOI: https://doi.org/10.1016/j.sse.2022.108390