Chip-Chat: Challenges and Opportunities in Conversational Hardware Design
New York University · UNSW Sydney
Abstract
Modern hardware design starts with specifications provided in natural language. These are then translated by hardware engineers into appropriate Hardware Description Languages (HDLs) such as Verilog before synthesizing circuit elements. Automating this translation could reduce sources of human error from the engineering process. But, it is only recently that artificial intelligence (AI) has demonstrated capabilities for machine-based end-to-end design translations. Commercially-available instruction-tuned Large Language Models (LLMs) such as OpenAI’s ChatGPT and Google’s Bard claim to be able to produce code in a variety of programming languages; but studies examining them for hardware are still lacking. In…
Citation impact
- FWCI
- 29.49
- Percentile
- 100%
- References
- 19
Authors
4Topics & keywords
- Computer science
- Chip
- Computer hardware
- System on a chip
- Computer architecture
- Embedded system
- Multimedia
- Telecommunications
- Quality Education