OBJECTIVE: This presentation and workshop will cover the challenges and effective approaches to generate SystemC model code for hardware IP peripherals using Large Language Models (LLM). The workshop will show a live demo of LLM model in operation, generating SystemC model of a peripheral device.

INTRODUCTION: With recent developments in AI, Large Language Models are used as assistants to perform various tasks. As these models accept and generate natural language text, they are helpful in various tasks that involves Natural Language Processing like text classification, document summarization, question answering, language translation, chatbots, code generation. Of relevance here is on-going active research and exploration in code generation capability of LLMs to enhance productivity of software developers. The presenters will show application of the same for creating SystemC Transaction Level Model from a high-level input specification.
This abstract is organized into following sections:
 

• Challenges, this section will mention the challenges faced by in using LLM for SystemC code generation.

• Approach, this section will discuss about approaches that improved code generation results. 

• Results, this section will provide analysis of the output generated by OpenAI’s GPT – the LLM that was used in this project

• Future work, this section will provide information about features of final product.