A review on SRAM-based computing in-memory: Circuits, functions, and applications

Z Lin, Z Tong, J Zhang, F Wang, T Xu… - Journal of …, 2022 - iopscience.iop.org
Artificial intelligence (AI) processes data-centric applications with minimal effort. However, it
poses new challenges to system design in terms of computational speed and energy …

A write bit-line free sub-threshold SRAM cell with fully half-select free feature and high reliability for ultra-low power applications

M Karamimanesh, E Abiri, K Hassanli… - … -International Journal of …, 2022 - Elsevier
In this paper, a robust sub-threshold 13 T-SRAM cell is designed, which in addition to
reducing power and energy consumption can show high reliability and have the least error …

A reconfigurable 4T2R ReRAM computing in-memory macro for efficient edge applications

Y Chen, L Lu, B Kim, TTH Kim - IEEE Open Journal of Circuits …, 2021 - ieeexplore.ieee.org
Resistive random access memory (ReRAM)-based computing in-memory (CIM) is a
promising solution to overcome the von-Neumann bottleneck in conventional computing …

An energy-efficient hybrid SRAM-based in-memory computing macro for artificial intelligence edge devices

AK Rajput, AK Tiwari, M Pattanaik - Circuits, Systems, and Signal …, 2023 - Springer
The von Neumann computing architecture faces considerable challenges (eg, high
throughput and improving energy efficiency) in develo** artificial intelligence (AI) edge …

BP-SCIM: A reconfigurable 8T SRAM macro for bit-parallel searching and computing in-memory

Y Chen, J Mu, H Kim, L Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This work presents BP-SCIM: a reconfigurable 8T static random access memory (SRAM)
macro for bit-parallel searching and computing in-memory (CIM). The decoupled read/write …

A 16-kb 9T ultralow-voltage SRAM with column-based split cell-VSS, data-aware write-assist, and enhanced read sensing margin in 28-nm FDSOI

MSM Siddiqui, ZC Lee, TTH Kim - IEEE Transactions on Very …, 2021 - ieeexplore.ieee.org
This work proposes an static random access memory (SRAM) with column-based split cell-
VSS (CS-CVSS), data-aware write-assist (DAWA), and enhanced read sensing margin in 28 …

A 9 T SRAM cell with data-independent read bitline leakage and improved read sensing margin for low power applications

A Sharif, S Ahmad, N Alam - Semiconductor Science and …, 2022 - iopscience.iop.org
Read decoupled SRAM cells were proposed to address the conflicting read and write
requirements in conventional 6 T SRAM cells. However, even read decoupled SRAM cells …

A 350 mV, 2 MHz, 16-kb SRAM with programmable wordline boosting in the 65 nm CMOS technology

M Nabavi, M Sachdev - Analog Integrated Circuits and Signal Processing, 2021 - Springer
The paper presents an SRAM macro capable of working down to 350ámV with
programmable wordline boosting feature. Wordline boosting allows us to improve the …

A 47 TOPS/W 10T SRAM-Based Multi-Bit Signed CIM With Self-Adaptive Bias Voltage Generator for Edge Computing Applications

L Lu - IEEE Transactions on Circuits and Systems II: Express …, 2023 - ieeexplore.ieee.org
This brief presents a 10T static random-access memory (SRAM)–computing in memory
(CIM) structure of 32kb macro unit for convolutional neural networks (CNNs). The proposed …

[CITATION][C] Design of Low Power 15T SRAM Cell using 20nm technology Based on FinFET, CNTFET and GNRFET

DT Lanka, SR Prasad, KS Rao