DEMAP: differential evolution mapping for network on chip optimization

Abstract

Network-on-chip (NoC) is a new paradigm for system-on-chip (SoC) design, which facilitates the interconnection and integration of complex components. Since this technology is still new, significant research efforts are needed to ac-celerate and simplify the design phases. Mapping is a critical phase in the NoC design process, as a mismatch of application software components can signif-icantly impact the final system’s performance. Therefore, it is essential to develop automated tools and methods to ensure this step. The main objective of this project is to develop a new approach that can be used to map applications on the NoC architecture to reduce communication costs. To achieve this goal, we have opted for an optimization algorithm, specifically the differential evolution algorithm.