Stt-mram stochastic and defects-aware dtco for last level cache at advanced process nodes

F García-Redondo, S Rao, M Gupta… - … 2023-IEEE 53rd …, 2023 - ieeexplore.ieee.org
STT-MRAM is a promising candidate to replace SRAM in Last Level Caches (LLCs) thanks
to its high density and reduced leakage. However, write delay, write energy, defects and risk …

Stochastic Aware Modeling of Voltage Controlled Magnetic Anisotropy MRAM

B Wang, F Garćıa-Redondo, MG Bardon… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper presents a physics-based compact model for Voltage-Controlled Magnetic
Anisotropy (VCMA) MRAM, calibrated against fabricated devices. Our model addresses …

A novel dtco-driven 1t1r bitcell for sub-10ns stt-mram llc macros at n12 node

F García-Redondo, L Verschueren… - 2024 IEEE European …, 2024 - ieeexplore.ieee.org
We introduce a novel 1T1R bitcell design to address the challenges posed by the high
current requirement during the Parallel to Anti-Parallel (P2AP) transition in STT-MRAM. This …

A General-Purpose STT-MTJ Device Model Based on Fokker-Planck Equation

H Liu, T Ohsawa - IEEE Transactions on Nanotechnology, 2023 - ieeexplore.ieee.org
A thermally agitated device model of spin-transfer torque magnetic tunnel junction (STT-
MTJ) based on the Fokker-Planck equation is proposed which is implemented into HSPICE …

Automatic Regression Framework for MRAM Compact Models Calibration including Stochasticity

P Graindorge, B Wang, MG Bardon… - … and Applications to …, 2024 - ieeexplore.ieee.org
This paper introduces a comprehensive optimization framework designed to enhance the
regression of physical parameters for MRAM technologies, including STT-MRAM, VCMA …

[PDF][PDF] Study on Spin-Transfer Torque Magnetic Tunnel Junction Modeling for Magnetic Memories and Spiking Neural Networks

H LIU - 2023 - waseda.repo.nii.ac.jp
Over the past decades, several emerging memory devices have been introduced with the
aim of enhancing circuit performance. Spin-transfer torque magnetic tunnel junction (STT …