3 papers
cs.SE2026
IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution
Luanrong Chen, Renzhi Chen, Xinyu Li +3
Large language models (LLMs) have shown promise in generating RTL code from natural-language descriptions, but existing methods remain static and struggle to adapt to evolving desi…
cs.AI2025
ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development
Bowei Wang, Jiaran Gao, Yelai Feng +3
The growing demand for Domain-Specific Architecture (DSA) has driven the development of Agile Hardware Development Methodology (AHDM). Hardware Construction Language (HCL) like Chi…
cs.AR2025
RTLSquad: Multi-Agent Based Interpretable RTL Design
Bowei Wang, Qi Xiong, Zeqing Xiang +2
Optimizing Register-Transfer Level (RTL) code is crucial for improving hardware PPA performance. Large Language Models (LLMs) offer new approaches for automatic RTL code generation…