Work

Prompting for Power: Benchmarking Large Language Models for Low-Power RTL Design Generation

Year: 2025

Type: conference-paper

DOI: 10.1109/mlcad65511.2025.11189130

Authors: Kevin Immanuel Gubbi, Marcus Halm, Sarbani Kumar, Arvind Sudarshan, Pavan Dheeraj Kota, Mohammadnavid Tarighat, Avesta Sasan, Houman Homayoun

Institution: University of California, Davis

Language: English

Topic: Embedded Systems Design Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4415004359

FWCI:

Cites: 15

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