A 28-nm 9T SRAM-based CIM macro with capacitance weighting module and redundant array-assisted ADC
Z Lin, R Yu, D Huo, Q Zhu, M Long, Y Qin, Y Liu… - Microelectronics …, 2024 - Elsevier
In the emerging field of Computing-in-Memory (CIM), this study introduces a 28-nm CMOS-
based Static Random Access Memory (SRAM) CIM macro capable of various computational …
based Static Random Access Memory (SRAM) CIM macro capable of various computational …
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
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 …
Symmetry in the Bit-Stream Converter Design
O Bureneva, N Safyannikov, S Mironov - Symmetry, 2023 - mdpi.com
The paper presents the results of the study of the influence of symmetry in the design of bit-
stream digital converters. We have shown realizations of the symmetry-based approach at …
stream digital converters. We have shown realizations of the symmetry-based approach at …
An Efficient and Precision-Reconfigurable Digital CIM Macro for DNN Accelerators
D Zou, G Zhang, X Zhang, M Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the demand for high energy efficiency in deep neural network (DNN) accelerators,
computing-in-memory (CIM) is becoming increasingly popular in recent years. However …
computing-in-memory (CIM) is becoming increasingly popular in recent years. However …
A 28nm 75.6 KOPS 13nJ Computing-in-Memory Pipeline Number Theoretic Transform Accelerator for PQC
J Zhu, Y Yuan, L Nie, W Tang, M Li… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Lattice-based cryptography (LBC) exploits the learning with errors (LWE) problem and is the
main algorithm standardized for Post-Quantum Cryptography (PQC). Number theoretic …
main algorithm standardized for Post-Quantum Cryptography (PQC). Number theoretic …