Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array

Autor:	Tomlinson, Michael, Li, Joe, Andreou, Andreas
Rok vydání:	2024
Předmět:	Computer Science - Hardware Architecture Computer Science - Artificial Intelligence Computer Science - Emerging Technologies
Druh dokumentu:	Working Paper
Popis:	Large language models (LLMs) have made headlines for synthesizing correct-sounding responses to a variety of prompts, including code generation. In this paper, we present the prompts used to guide ChatGPT4 to produce a synthesizable and functional verilog description for the entirety of a programmable Spiking Neuron Array ASIC. This design flow showcases the current state of using ChatGPT4 for natural language driven hardware design. The AI-generated design was verified in simulation using handcrafted testbenches and has been submitted for fabrication in Skywater 130nm through Tiny Tapeout 5 using an open-source EDA flow.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.10920 Zobrazit plný text záznamu View this record from Arxiv