Digital ASIC Design with Ongoing LLMs: Strategies and Prospects
Maoyang Xiang, Emil Goh, T. Hui Teo

TL;DR
This paper explores strategies to improve the use of Large Language Models in digital ASIC design, demonstrating their potential to generate reliable HDL code and successfully fabricate a PWM generator chip.
Contribution
It introduces targeted methods to enhance LLM reliability in HDL generation and provides a practical example of designing and fabricating an ASIC using LLMs.
Findings
LLMs can generate DRC-passing HDL code for ASICs
Strategies improve HDL code accuracy and reliability
Successful fabrication of a PWM generator chip
Abstract
The escalating complexity of modern digital systems has imposed significant challenges on integrated circuit (IC) design, necessitating tools that can simplify the IC design flow. The advent of Large Language Models (LLMs) has been seen as a promising development, with the potential to automate the generation of Hardware Description Language (HDL) code, thereby streamlining digital IC design. However, the practical application of LLMs in this area faces substantial hurdles. Notably, current LLMs often generate HDL code with small but critical syntax errors and struggle to accurately convey the high-level semantics of circuit designs. These issues significantly undermine the utility of LLMs for IC design, leading to misinterpretations and inefficiencies. In response to these challenges, this paper presents targeted strategies to harness the capabilities of LLMs for digital ASIC design.…
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Taxonomy
TopicsAdvancements in Semiconductor Devices and Circuit Design
