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

Fuente: arXiv
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Main Authors: Tomlinson, Michael, Li, Joe, Andreou, Andreas
Format: Preprint
Published: 2024
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author Tomlinson, Michael
Li, Joe
Andreou, Andreas
author_facet Tomlinson, Michael
Li, Joe
Andreou, Andreas
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_10920
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array
Tomlinson, Michael
Li, Joe
Andreou, Andreas
Hardware Architecture
Artificial Intelligence
Emerging Technologies
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.
title Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array
topic Hardware Architecture
Artificial Intelligence
Emerging Technologies
url https://arxiv.org/abs/2402.10920