Costing

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A 28-nm, 8.3-mm2, 76.9-μJ/Pairing Compiler-Driven Crypto-Processor for Hybrid ZKP–PBC Application With Software–Hardware Co-Design

A 28-nm, 8.3-mm2, 76.9-μJ/Pairing Compiler-Driven Crypto-Processor for Hybrid ZKP–PBC Application With Software–Hardware Co-Design 150 150
Author(s): Xiangren Chen, Bohan Yang, Jinfan Zhang, Yifan Jiang, Wenping Zhu, Hanning Wang, Min Zhu, Aoyang Zhang, Leibo Liu

Abstract:

Zero-knowledge proof (ZKP), one of the most popular privacy-preserving schemes, enables the prover to convince the verifier of a certain statement’s correctness without leaking any private information. Among them, the Pairing-based succinct non-interactive argument of knowledge (zkSNARK), like Groth16 and Plonk, featuring succinct proof size and constant-time verification, is …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 16
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3722561
Publisher: IEEE

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A Mixed-Signal SAT Solver for Exploring Nonideal Effects and Scalability in Analog Computation

A Mixed-Signal SAT Solver for Exploring Nonideal Effects and Scalability in Analog Computation 150 150
Author(s): Ahmet Yusuf Salim, Soner Seçkiner, Eslam Elmitwalli, Zeljko Ignjatovic, Selçuk Köse

Abstract:

Recent years have seen growing interest in custom and nature-inspired computing methods for solving computationally challenging combinatorial optimization problems. The Boolean satisfiability (SAT), a canonical nondeterministic polynomial (NP)-complete problem, has remained a focal point due to its wide applicability in artificial intelligence, cryptography, and formal verification. This article presents …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 19
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3721413
Publisher: IEEE

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A 11.0-TOPS/W Diffusion Accelerator With Temporal Data Reuse for Real-Time Text-to-Motion Generation

A 11.0-TOPS/W Diffusion Accelerator With Temporal Data Reuse for Real-Time Text-to-Motion Generation 150 150
Author(s): Sungwoong Yune, Jieon Yoon, Hangyeol Lee, Adiwena Putra, Jaehoon Heo, Joo-Young Kim

Abstract:

Text-to-motion models are AI systems that generate human motion sequences directly from natural language descriptions, serving as key enablers for immersive virtual avatars and interactive digital humans in AR/VR ecosystems. However, state-of-the-art text-to-motion diffusion models suffer from substantial computational costs due to their iterative nature, making them ill-suited for …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3689546
Publisher: IEEE

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