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A 160-Gb/s D-Band Bi-Directional CMOS Mixer Covering 112–170 GHz for 6G Transceivers

A 160-Gb/s D-Band Bi-Directional CMOS Mixer Covering 112–170 GHz for 6G Transceivers 150 150
Author(s): Chenxin Liu, Yudai Yamazaki, Anyi Tian, Chun Wang, Hans Herdian, Abanob Shehata, Han Nie, Minzhe Tang, Hiroyuki Sakai, Kazuaki Kunihiro, Atsushi Shirane, Kenichi Okada

Abstract:

This work presents a D-band bi-directional CMOS double-balanced mixer (DBM) supporting data rates over 160 Gb/s with a 58-GHz RF bandwidth (112–170 GHz). The mixer employs four identical NMOS passive switches ( $12~\mu $ m/60 nm) in a DBM topology, providing the isolation between RF, LO, and IF ports. Both IF and RF …

Published in: IEEE Solid-State Circuits Letters
Page(s): 241 – 244
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3597690
Publisher: IEEE

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A 0-to- 10μF Off-Chip Output Capacitor-Scalable Boost Converter Achieving 96.68% Peak Efficiency

A 0-to- 10μF Off-Chip Output Capacitor-Scalable Boost Converter Achieving 96.68% Peak Efficiency 150 150
Author(s): Hyeon-Ji Choi, Joo-Mi Cho, Hyo-Jin Park, Seok-Jun Lee, Sung-Wan Hong

Abstract:

This letter presents an off-chip output capacitor (CO)-scalable (OCS) boost converter. The proposed OCS boost converter is possible to operate both with and without the off-chip CO. In addition, it operates in a whole conversion ratio (CR) range over 1 while maintaining a small current ripple of an inductor, resulting …

Published in: IEEE Solid-State Circuits Letters
Page(s): 233 – 236
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3594739
Publisher: IEEE

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MIX-ACIM: A 28-nm Mixed-Precision Analog Compute-in-Memory With Digital Feature Restoration for Vector-Matrix Multiplication

MIX-ACIM: A 28-nm Mixed-Precision Analog Compute-in-Memory With Digital Feature Restoration for Vector-Matrix Multiplication 150 150
Author(s): Wei-Chun Wang, Shida Zhang, Laith Shamieh, Narasimha Vasishta Kidambi, Isha Chakraborty, Saibal Mukhopadhyay

Abstract:

A mixed-precision analog compute-in-memory (Mix-ACIM) is presented for mixed-precision vector-matrix multiplication (VMM). The design features an all-analog current-domain fixed-point (FxP) VMM with floating-point conversion and feature restoration. A 28 nm CMOS test chip shows 41 TOPS/W and 24 TOPS/mm2 for FxP (8-bit input/weight and 12-bit output) and 24.18 TFLOPS/W and 3.3 …

Published in: IEEE Solid-State Circuits Letters
Page(s): 213 – 216
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3590757
Publisher: IEEE

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MINOTAUR: A Posit-Based 0.42–0.50-TOPS/W Edge Transformer Inference and Training Accelerator

MINOTAUR: A Posit-Based 0.42–0.50-TOPS/W Edge Transformer Inference and Training Accelerator 150 150
Author(s): Kartik Prabhu, Robert M. Radway, Jeffrey Yu, Kai Bartolone, Massimo Giordano, Fabian Peddinghaus, Yonatan Urman, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Subhasish Mitra, Priyanka Raina

Abstract:

Transformer models have revolutionized natural language processing (NLP) and enabled many new applications, but are challenging to deploy on resource-constrained edge devices due to their high computation and memory demands. We present MINOTAUR, an edge system-on-chip (SoC) for inference and fine-tuning of Transformer models with all memory on the chip. …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1311 – 1323
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3545731
Publisher: IEEE

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