Performance Evaluation of HEVC RCL Applications Mapped onto NoC-Based Embedded Platforms

Abstract

Today, several applications running into embedded systems have to fulfill soft or hard timing constraints. Video applications, like the modern High Efficiency Video Coding (HEVC), e.g., most often have soft real-time constraints. However, in specific scenarios, such as in robotic surgeries, the coupling of satellites and so on, harder timing constraints arise, becoming a huge challenge. Although the implementation of such applications in Networks-on-Chip (NoCs) being an alternative to reduce their algorithmic complexity and meet real-time constraints, a performance evaluation of the mapped NoC and the schedulability analysis for a given application are mandatory. In this work we make a performance evaluation of HEVC Residual Coding Loop (RCL) mapped onto a NoC-based embedded platform, considering the encoding of a single $1920\mathrm{x}1080$ pixels frame. A set of analysis exploring the combination of different NoC sizes and task mapping strategies were performed, showing for the typical and upper-bound workload cases scenarios when the application is schedulable and meets the real-time constraints.