System-on-chip

  • No Comments

A CMOS Probabilistic Computing Chip With Hardware-Aware Learning

A CMOS Probabilistic Computing Chip With Hardware-Aware Learning 150 150
Author(s): Jinesh Jhonsa, William Whitehead, Yihao Wu, David Mccarthy, Shuvro Chowdhury, Kerem Y. Camsari, Luke Theogarajan

Abstract:

This work demonstrates a compact probabilistic computing system based on a physics-inspired probabilistic bit (p-bit) architecture with 440 interacting spins configured in a chimera graph and occupying 0.44 mm2 of silicon area. Area efficiency is achieved through a current-mode neuron update circuit and a mixed-signal design approach that integrates pitch-matched standard-cell analog …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 86 – 94
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3689506
Publisher: IEEE

View on IEEE Xplore

  • No Comments

A 129–146-GHz Direct-Digital Modulation FinFET Transmitter With On-Chip Mismatch Calibrations for Beyond-5G Wireless Communications

A 129–146-GHz Direct-Digital Modulation FinFET Transmitter With On-Chip Mismatch Calibrations for Beyond-5G Wireless Communications 150 150
Author(s): Runzhou Chen, Hao-Yu Chien, Boxun Yan, Chao-Jen Tien, Mau-Chung Frank Chang

Abstract:

This article presents a D-band direct-digital modulation (DDM) transmitter with on-chip digital calibration blocks for future beyond-5G (B5G) wireless communication. The proposed DDM architecture mitigates the need for complex intermediate frequency (IF) generation and power-hungry digital-to-analog converters (DACs). The transmitter is implemented primarily in TSMC’s 16-nm p-FinFETs, …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1776 – 1790
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3644224
Publisher: IEEE

View on IEEE Xplore

  • No Comments

A Self-Injection LC Oscillator for Flicker Noise Reduction

A Self-Injection LC Oscillator for Flicker Noise Reduction 150 150
Author(s): Bahram Jafari, Ali Ghafari, Sankaran Aniruddhan, Shahriar Mirabbasi, Sudip Shekhar

Abstract:

Self-injection has been used in lasers and photonic integrated circuits to reduce the laser’s phase noise (PN). We show that self-injection can be leveraged in GHz LC oscillators as well. Our oscillator employs a current-domain self-injection technique by leveraging second-harmonic extraction, capacitive phase shifting, and self-mixing through the oscillator’…

Published in: IEEE Journal of Solid-State Circuits
Page(s): 816 – 829
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3643322
Publisher: IEEE

View on IEEE Xplore

  • No Comments

GUARD: A Clock and Voltage Glitch Detector With On-Demand Protection

GUARD: A Clock and Voltage Glitch Detector With On-Demand Protection 150 150
Author(s): Mao Li, Sanu K. Mathew, Vivek De, Mingoo Seok

Abstract:

This article presents GUARD, a fully digital, variation-tolerant detector for clock and voltage glitch attacks, featuring an integrated on-demand protection mechanism. Fabricated in 28-nm CMOS, GUARD provides robust security for digital systems by monitoring the system clock for maliciously injected faults. It employs a pair of optimized time-to-digital converters (TDCs) …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 12
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3696209
Publisher: IEEE

View on IEEE Xplore

  • No Comments

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

View on IEEE Xplore

  • No Comments

TexCAC: A Direct-Textile-Attachable Microcontroller Integrating 2-MB MRAM for the Command and Control of Advanced Smart Textiles

TexCAC: A Direct-Textile-Attachable Microcontroller Integrating 2-MB MRAM for the Command and Control of Advanced Smart Textiles 150 150
Author(s): Jacob Mack, Qirui Zhang, He Wang, Yi Shen, Jeongtaek Chang, Heejin Yang, Anjali Agrawal, Zichen Fan, Braden Desman, Zane Lewis, Thomas Farrell, David Blaauw, Will Farrell, Jim Owens, Benton H. Calhoun, Dennis Sylvester

Abstract:

Advanced smart textiles (ASTs) are textile-integrated electronic systems that enable many applications, including healthcare, robotics, and IoT. ASTs contain a variety of electronic components to enable whole system functionality (batteries, sensors, SoCs, etc.), which all require orchestration from a central command-and-control (CAC) module. The primary functions of the CAC module …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 10
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3695482
Publisher: IEEE

View on IEEE Xplore

  • No Comments

A BEV Perception Transformer Accelerator With Saliency-Driven Image/Point Cloud Fusion and Phase-Linked Dataflow in 28 nm CMOS

A BEV Perception Transformer Accelerator With Saliency-Driven Image/Point Cloud Fusion and Phase-Linked Dataflow in 28 nm CMOS 150 150
Author(s): Junyi Qian, Yuncheng Lu, Zhangrui Qian, Lishuo Deng, Zhihao Yan, Cai Li, Tony Tae-Hyoung Kim, Weiwei Shan

Abstract:

Deploying advanced Transformer-based models for real-time, high-accuracy multimodal bird’s-eye-view (BEV) perception in autonomous driving imposes substantial hardware demands. To address this, we propose a low-cost, low-power image/point-cloud fusion Transformer accelerator that supports two modes: high-performance driving and ultra-low-power sentry operation. We first propose a cross-modal saliency evaluation mechanism …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 12
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3691770
Publisher: IEEE

View on IEEE Xplore

  • No Comments

A 256-Element Slepian Beamforming Accelerator With Analog Compute-In-Memory Multiplication and Accumulation

A 256-Element Slepian Beamforming Accelerator With Analog Compute-In-Memory Multiplication and Accumulation 150 150
Author(s): Wei-Chun Wang, Shida Zhang, Coleman DeLude, Laith Shamieh, Nael Mizanur Rahman, Isha Chakraborty, Justin Romberg, Saibal Mukhopadhyay

Abstract:

An analog compute-in-memory (CIM) Slepian beamforming (SBF) accelerator is introduced for large-scale multi-input–multi-output (MIMO). The design performs complex-valued vector–matrix multiplication in the analog domain to project 256 I/Q inputs into a low-dimensional Slepian subspace and uses a digital backend with 4-tap FIR filters to generate one output beam. …

Published in: IEEE Solid-State Circuits Letters
Page(s): 154 – 157
Year of Publication: 2026
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2026.3690381
Publisher: IEEE

View on IEEE Xplore

  • No Comments

HyFPCiM: A 65-nm 417-μW Error-Sensitivity-Aware FP8 Compute-in-Memory Macro

HyFPCiM: A 65-nm 417-μW Error-Sensitivity-Aware FP8 Compute-in-Memory Macro 150 150
Author(s): Gaurav Kumar K, Yatharth Agarwal, Kaushik Roy

Abstract:

This letter presents HyFPCiM, a 65-nm FP8 compute-in-memory (CiM) macro that enables sub-mW floating-point (FP) inference using error-sensitivity-aware FP partitioning (EAP). EAP maps exponent processing to a digital CiM (DCiM) path and mantissa accumulation to an analog CiM (ACiM), avoiding the power- and area-intensive adder-tree-based accumulation used in prior FP-CiM …

Published in: IEEE Solid-State Circuits Letters
Page(s): 146 – 149
Year of Publication: 2026
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2026.3688988
Publisher: IEEE

View on IEEE Xplore

Search this website