Siarhei Zalivaka, Solidigm
Verification becomes more crucial in the design of complex systems on a chip. To make this process more sustainable, the verification IPs (VIPs) has to be utilized. However, the development of VIPs relies on deep understanding of the target IP specification. The internals of the VIP are usually designed based on the requirements, which cannot be easily extracted from the specification. Thus, Large Language Models (LLMs) can be used in order to identify the requirements. The experimental study shows that GPT-2 model provides good performance (Precision=0.618, Recall=0.874) that improves the process of requirements extraction by at least 20% comparing to the manual process. Also this approach can be used for automation (semi-automation) of other routines required in the VIP development process.