Adapting magnetoresistive memory devices for accurate and on-chip-training-free in-memory computing
Memristors have emerged as promising devices for enabling efficient multiply-accumulate
(MAC) operations in crossbar arrays, crucial for analog in-memory computing (AiMC) …
(MAC) operations in crossbar arrays, crucial for analog in-memory computing (AiMC) …
Spintronic memristors for computing
The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and
cognitive algorithms. Traditional digital computer systems have separate logic and memory …
cognitive algorithms. Traditional digital computer systems have separate logic and memory …
Restricted Boltzmann Machines Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Artificial intelligence has surged forward with the advent of generative models, which rely
heavily on stochastic computing architectures enhanced by true random number generators …
heavily on stochastic computing architectures enhanced by true random number generators …
Experimental demonstration of a robust training method for strongly defective neuromorphic hardware
The increasing scale of neural networks needed to support more complex applications has
led to an increasing requirement for area-and energy-efficient hardware. One route to …
led to an increasing requirement for area-and energy-efficient hardware. One route to …
Closed Loop Superparamagnetic Tunnel Junctions for Reliable True Randomness and Generative Artificial Intelligence
Physical devices exhibiting stochastic functions with low energy consumption and high
device density have the potential to enable complex probability-based computing …
device density have the potential to enable complex probability-based computing …
Area and Energy Efficient Short-Circuit-Logic-Based STT-MRAM Crossbar Array for Binary Neural Networks
C Wang, Z Wang, Z Zhang, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Spin-transfer-torque magnetoresistive random-access memory (STT-MRAM) is a promising
candidate for future memory systems, however, implementing highly parallel neuro-inspired …
candidate for future memory systems, however, implementing highly parallel neuro-inspired …
Big-computing and Little-storing STT-MRAM PIM architecture with Charge Domain based MAC operation
Y Jang, D Kim, Y Kim, J Park - IEEE Transactions on Computers, 2024 - ieeexplore.ieee.org
Spin transfer torque magnetic random access memory (STT-MRAM) is a promising memory
technology for processing in memory (PIM) thanks to its high endurance and relatively low …
technology for processing in memory (PIM) thanks to its high endurance and relatively low …
Accuracy Improvement with Weight Mapping Strategy and Output Transformation for STT-MRAM-Based Computing-In-Memory
X Wang, N Wei, S Gao, W Wu… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
This work presents an analog computing-in-memory (CiM) macro with spin-transfer torque
magnetic random access memory (STT-MRAM) and 28-nm CMOS technology. The adopted …
magnetic random access memory (STT-MRAM) and 28-nm CMOS technology. The adopted …