Session

DescriptionThis session highlights advanced high-level approaches for improving the design, verification, and optimization at the system level, involving both software, the software/hardware interface, and the hardware design itself. Novel problems and opportunities for optimization appear as we move from components and IP-blocks to systems. A central theme is the use of automation, machine learning, and standardized design abstractions to accelerate early development—from generating executable RTL and verification environments from high-level specifications to enabling early verification through enriched IP-XACT and PSS flows, as well as ML-driven design exploration such as die-size estimation and QoS optimization.