May 31, 2023 · In this work, an in-memory Booth multiplier based on MRAM is designed and analyzed through simulation. Compared with the in-SRAM counterpart, ...

Jun 1, 2024 · We show that the memory capacity of the fully connected binary Hopfield network is significantly reduced by a small amount of noise in ...

In this work, an in-memory Booth multiplier based on MRAM is designed and analyzed through simulation. Compared with the in-SRAM counterpart, our design saved ...

Dec 18, 2023 · To resolve this dilemma, an in-memory Booth Multiplier is proposed with the aim of enhancing the energy efficiency of neural networks performing ...

To resolve this dilemma, an in-memory Booth Multiplier is proposed with the aim of enhancing the energy efficiency of neural networks performing multi-bit ...

This paper presents an in-memory Booth multiplier based on racetrack memory, which saves 56.3% power compared with the state-of-the-art magnetic adder, ...

A racetrack memory based in-memory booth multiplier for cryptography application. TrinhH.-P. et al. Magnetic adder based on racetrack memory. IEEE Trans ...

Apr 17, 2023 · Abstract—In-memory computing (IMC) aims at executing numerical operations via physical processes, such as current.

A Highly Flexible InMemory (HieIM) computing platform using STT MRAM, which can be leveraged to implement Boolean logic functions without sacrificing memory ...

In this paper, an 8-bit radix-4 non-volatile parallel multiplier is proposed, with improved computational capabilities. The corresponding booth encoding scheme, ...