ArtistIC: An Open-Source Toolchain for Top-Metal IC Art and Ultra-High-Fidelity GDSII Renders

2025-02-04

AI Summary

Open-source ASIC projects often struggle to attract non-specialist communities and investors during early development due to the absence of functional prototypes and compelling technical demonstrations. This paper introduces the first visual branding framework tailored for open-source integrated circuits, addressing the challenge of low public visibility and fundraising difficulty caused by the lack of intuitive, aesthetically engaging chip representations. Methodologically, we develop a high-fidelity GDSII parser and rasterization engine implemented in Python/C++, supporting sub-25 nm/px rendering, gigapixel-scale (1.2 Gpx) visualization, metal-layer semantic coloring, anti-aliasing, and multi-format export (SVG/PNG). The framework is compatible with mainstream open-source PDKs—including SkyWater—and has been integrated into the OpenLane flow. This work bridges a critical gap in open-source EDA tools for aesthetic IC design and photorealistic layout visualization, significantly enhancing project discoverability and community engagement.

Technology Category

• Computer Vision: Other Foundations of Computer Vision
• Search and Optimization: Distributed Search
• Humans and AI: Crowd Sourcing and Human Computation

Application Category

• Graph Algorithms and Modeling for the Web: Foundation models and LLMs for Web-related graphs
• Web Mining and Content Analysis: Web data visualization
• Security and Privacy: Data transparency and provenance

Abstract

Open-source projects require outreach material to grow their community, secure funds, and strengthen their influence. Numbers, specifications, and facts alone are intangible to uninvolved people; using a clear brand and appealing visual material is thus ample to reach a broad audience. This is especially true for application-specific integrated circuits (ASICs) during the early stages of the development cycle without running prototype systems. This work presents ArtistIC, an open-source framework to brand ASICs with top-metal art and to render GDSII layouts with ultra-high fidelity reaching render densities below 25 nm/px and gigapixels-scale resolutions.

Problem

• Enhance ASIC branding with top-metal art
• Achieve ultra-high-fidelity GDSII renders
• Support open-source community outreach efforts

Innovation

• Open-source ASIC branding tool
• High-fidelity GDSII rendering
• Sub-25 nm/px render density