Generating High-Fidelity Synthetic Data for System-Level High-Level Synthesis Design Space Exploration using Generative Machine Learning

A novel approach called Vaegan that employs generative machine learning to generate synthetic data that closely mirrors the distribution of real high-level synthesis data, enabling more comprehensive system-level design space exploration.