Session

Description"Edgevolution" presents cutting-edge research driving the evolution of edge computing paradigms. Papers in this session present innovative solutions such as accelerating Simulink model simulations via code generation, parallelizing SystemC TLM-2.0 CPU models for high-performance virtual platforms, and maximizing accuracy in FinFET-based real-time computing. Additionally, the session introduces emerging applications, including collaborative user-driven recommendation systems for edge devices, on-device LLM personalization with selective synthetic data, and a physics-guided generative AI toolkit for geophysical monitoring on edge devices. These contributions collectively propel the advancement of edge computing, offering transformative solutions for enhanced acceleration and intelligence at the edge.