NL2GDS: LLM-aided interface for Open Source Chip Design

Fuente: arXiv
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Autores principales: Eland, Max, Thiyagalingam, Jeyan, Pamunuwa, Dinesh, Weerasekera, Roshan
Formato: Preprint
Publicado: 2026
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author Eland, Max
Thiyagalingam, Jeyan
Pamunuwa, Dinesh
Weerasekera, Roshan
author_facet Eland, Max
Thiyagalingam, Jeyan
Pamunuwa, Dinesh
Weerasekera, Roshan
contents The growing complexity of hardware design and the widening gap between high-level specifications and register-transfer level (RTL) implementation hinder rapid prototyping and system design. We introduce NL2GDS (Natural Language to Layout), a novel framework that leverages large language models (LLMs) to translate natural language hardware descriptions into synthesizable RTL and complete GDSII layouts via the open-source OpenLane ASIC flow. NL2GDS employs a modular pipeline that captures informal design intent, generates HDL using multiple LLM engines and verifies them, and orchestrates automated synthesis and layout. Evaluations on ISCAS'85 and ISCAS'89 benchmark designs demonstrate up to 36% area reduction, 35% delay reduction, and 70% power savings compared to baseline designs, highlighting its potential to democratize ASIC design and accelerate hardware innovation.
format Preprint
id arxiv_https___arxiv_org_abs_2603_05489
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle NL2GDS: LLM-aided interface for Open Source Chip Design
Eland, Max
Thiyagalingam, Jeyan
Pamunuwa, Dinesh
Weerasekera, Roshan
Hardware Architecture
Computers and Society
Logic in Computer Science
Systems and Control
The growing complexity of hardware design and the widening gap between high-level specifications and register-transfer level (RTL) implementation hinder rapid prototyping and system design. We introduce NL2GDS (Natural Language to Layout), a novel framework that leverages large language models (LLMs) to translate natural language hardware descriptions into synthesizable RTL and complete GDSII layouts via the open-source OpenLane ASIC flow. NL2GDS employs a modular pipeline that captures informal design intent, generates HDL using multiple LLM engines and verifies them, and orchestrates automated synthesis and layout. Evaluations on ISCAS'85 and ISCAS'89 benchmark designs demonstrate up to 36% area reduction, 35% delay reduction, and 70% power savings compared to baseline designs, highlighting its potential to democratize ASIC design and accelerate hardware innovation.
title NL2GDS: LLM-aided interface for Open Source Chip Design
topic Hardware Architecture
Computers and Society
Logic in Computer Science
Systems and Control
url https://arxiv.org/abs/2603.05489