A Computing In-Memory Multibit Multiplication Based on Decoupling and In-Array Storing
J Zhang, Z Tong, H Wang, X Wang… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Multiplications are basic operations of neural networks. Therefore, multiplication results are
crucial in analyzing the operating process of neural networks. However, the multiplication …
crucial in analyzing the operating process of neural networks. However, the multiplication …
Configurable in-memory computing architecture based on dual-port SRAM
Y Zhao, Y Liu, J Zheng, Z Tong, X Wang, R Yu… - Microelectronics …, 2024 - Elsevier
In the emerging field of in-memory computing (IMC), this study proposes a dual-port static
random access memory (SRAM) IMC architecture with the distinct capability of realizing …
random access memory (SRAM) IMC architecture with the distinct capability of realizing …
A High-Accuracy and Low-Power Emerging Technology-Based Associative Memory
M Rezaei, A Amirany, MH Moaiyeri… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Associative memory (AM) is a subcategory of neural networks (NNs) inspired by human
memory. Over time, the need to process complex tasks has increased, leading to the …
memory. Over time, the need to process complex tasks has increased, leading to the …
Cross-coupled 4T2R multi-logic in-memory computing circuit design
Z Lin, C Yue, K Li, Q Feng, S Li, Y Zhao, Y Wang… - Microelectronics …, 2024 - Elsevier
Resistive random access memory (RRAM) is viewed as the next-generation memory model,
surpassing the constraints of traditional random access memory. Given its non-volatile …
surpassing the constraints of traditional random access memory. Given its non-volatile …