Logic circuits

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Comparative Analysis of Sense Amplifier Circuits for Hybrid CMOS-MTJ CIM Architecture

Comparative Analysis of Sense Amplifier Circuits for Hybrid CMOS-MTJ CIM Architecture 150 150
Author(s): Yashvardhan Singh, Siddharth Penumatsa, Prashanth Barla

Abstract:

Spin-transfer torque magnetic tunnel junction (STT-MTJ) is widely recognized as a promising device for computation-in-memory (CIM) architecture due to its advantages, such as simple nonvolatile structure, CMOS compatibility, and scalability. In spite of the advantages, achieving reliable and efficient sensing of STT-MTJ remains a design challenge. This work presents a …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 95 – 103
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3690460
Publisher: IEEE

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OISMA: On-the-Fly In-Memory Stochastic Multiplication Architecture for Approximate Matrix Multiplication

OISMA: On-the-Fly In-Memory Stochastic Multiplication Architecture for Approximate Matrix Multiplication 150 150
Author(s): Shady Agwa, Yihan Pan, Georgios Papandroulidakis, Themis Prodromakis

Abstract:

Artificial intelligence (AI) models are currently driven by a significant upscaling of their complexity, with massive matrix-multiplication workloads representing the major computational bottleneck. In-memory computing (IMC) architectures are proposed to avoid the von Neumann bottleneck. However, both digital/binary-based and analog IMC architectures suffer from various limitations, which significantly degrade …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 56 – 64
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3680281
Publisher: IEEE

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A 28-nm System-in-One-Macro Computing-in-Memory Chip Utilizing Leakage-Eliminated 2T1C and Capacitor-Over-Logic 1T1C eDRAM

A 28-nm System-in-One-Macro Computing-in-Memory Chip Utilizing Leakage-Eliminated 2T1C and Capacitor-Over-Logic 1T1C eDRAM 150 150
Author(s): Zhihang Qian, Zhaori Cong, Shengzhe Yan, Zeyu Guo, Zhuoyu Dai, Yifan He, Wenyu Sun, Chunmeng Dou, Feng Zhang, Di Geng, Jinshan Yue, Yongpan Liu, Qi Liu, Ming Liu

Abstract:

Computing-in-memory (CIM) is a promising paradigm for energy- and area-efficient implementation of the heavy general matrix multiplication (GEMM) operations, especially in the evolving deep learning algorithms. Though existing CIM macros have demonstrated remarkable energy/area efficiency, the corresponding metrics of the system-level CIM chips degrade due to the peripheral components, …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3684971
Publisher: IEEE

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Self-Enabled Write Assist Cells for High-Density SRAM in Resistance-Dominated Technology Node

Self-Enabled Write Assist Cells for High-Density SRAM in Resistance-Dominated Technology Node 150 150
Author(s): Minjune Yeo, Seungjae Yei, Keonhee Cho, Giseok Kim, Mingu Kang, Seong-Ook Jung

Abstract:

As technology scaling increases interconnect resistance, writeability degradation in static random access memory (SRAM) becomes critical. This article presents a self-enabled write assist cell (SEWAC) that mitigates writeability degradation caused by increased bitline resistance (R ${}_{\mathrm {BL}}$ ) without requiring timing control. The SEWAC has a cell-compatible layout with the standard 6…

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 11
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3681916
Publisher: IEEE

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