28 citations · 31 across the 3 of their papers we have counts for
3 papers
JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation
Ghasem Pasandi, Kishor Kunal, Varun Tej +8
This paper presents JARVIS, a novel multi-agent framework that leverages Large Language Models (LLMs) and domain expertise to generate high-quality scripts for specialized Electron…
ChipNeMo: Domain-Adapted LLMs for Chip Design
Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby +39
ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we…
AISYN: AI-driven Reinforcement Learning-Based Logic Synthesis Framework
Ghasem Pasandi, Sreedhar Pratty, James Forsyth
Logic synthesis is one of the most important steps in design and implementation of digital chips with a big impact on final Quality of Results (QoR). For a most general input circu…