8 papers
A New Benchmark for the Appropriate Evaluation of RTL Code Optimization
Yao Lu, Shang Liu, Hangan Zhou +3
The rapid progress of artificial intelligence increasingly relies on efficient integrated circuit (IC) design. Recent studies have explored the use of large language models (LLMs)…
ReadyPower: A Reliable, Interpretable, and Handy Architectural Power Model Based on Analytical Framework
Qijun Zhang, Shang Liu, Yao Lu +2
Power is a primary objective in modern processor design, requiring accurate yet efficient power modeling techniques. Architecture-level power models are necessary for early power o…
ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design
Qijun Zhang, Yao Lu, Mengming Li +2
Power is the primary design objective of large-scale integrated circuits (ICs), especially for complex modern processors (i.e., CPUs). Accurate CPU power evaluation requires design…
SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits
Shang Liu, Jing Wang, Wenji Fang +1
In recent years, AI-assisted IC design methods have demonstrated great potential, but the availability of circuit design data is extremely limited, especially in the public domain.…
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang +1
The rapid advancements of AI rely on the support of ICs. However, the growing complexity of digital ICs makes the traditional IC design process costly and time-consuming. In recent…
NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph
Wenji Fang, Wenkai Li, Shang Liu +3
Circuit representation learning has shown promise in advancing Electronic Design Automation (EDA) by capturing structural and functional circuit properties for various tasks. Exist…