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From the 1 of 28 linked papers with an AI index.

collaborators

28 papers

cs.AR2026

FSGen: Agile Fused and Sparse Accelerator Generator with Accurate Power Model for LLM Applications

Jay Zhe-An Mok, Qijun Zhang, Zhiyao Xie

With the growing demand of artificial intelligence (AI) applications, large language models (LLMs) have become important workloads in many domains. The question of how to efficient…

cs.AR2026

G-Power: Architecture-level GPU Power Modeling with Aggregated Knowledge Foundations from Known GPUs

Qijun Zhang, Yao Lu, Shang Liu +4

Graphics Processing Units (GPUs) have been serving as critical computation resources for large-scale parallel computations. With increasing chip complexity, power efficiency has be…

cs.AR2026

LEAP: A Self-Supervised Per-Cycle Toggle Propagation Model Supports Fast, Transferable, and Early Analysis of Layout Power

Wenkai Li, Yuchao Wu, Ziyan Guo +4

Accurate power analysis is critical in VLSI design, as it directly impacts power optimization strategies. However, traditional approaches are often hindered by the substantial runt…

cs.LO2026

CircuitProver: Agentic Lean 4 Theorem Proving with Reusable Circuit Proof Library for Hardware Verification

Ziyi Yang, Wenji Fang, Chen Chen +2

CircuitProver is a Lean 4‑based framework that automatically translates parameterized hardware designs and their natural‑language specifications into formal models and uses an agen…

cs.AR2026

RTL-Sequencer: Towards Scalable RTL Timing Prediction with the Sequence-based Paradigm

Ziyan Guo, Wenji Fang, Wenkai Li +3

Accurate timing prediction at the register-transfer level (RTL) is a longstanding challenge in design automation. Existing graph-based methods struggle with limited receptive field…

cs.AR2026

A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA

Wenji Fang, Jing Wang, Yao Lu +4

Artificial intelligence (AI)-driven electronic design automation (EDA) techniques have been extensively explored for VLSI circuit design applications. Most recently, foundation AI…