In this paper, a power aware mapping of a reconfigurable video coding (RVC) representation of an H.264/AVC encoder on a heterogeneous many-core platform has been presented. Through this example the benefits of using RVC for flexible and future proof implementations has been highlighted. Furthermore, the low cost modeling of the power efficient mapping algorithm enables dynamic mapping of applications on many-core platforms where power is a concern. Preliminary results indicate that the mapped encoder is much more efficient in terms of power consumption without any significant impact on its performance.
Index Terms-Reconfigurable video coding, Many-core platform, mapping algorithms
Media clouds provide an infrastructure for distributed processing and storage of multimedia applications. Each device in the media cloud is usually a mobile system consisting of several heterogeneous Processing Elements (PE). Energy efficiency has always been a challenge in this environment. In this paper, we propose a unified energy efficient algorithm for mapping multimedia applications on a media cloud infrastructure. The algorithm considers the distribution of tasks at two levels: among devices in the cloud and PEs of each device. The proposed algorithm heuristically finds the most energy efficient device for each task at the first stage. In the second stage, the least energy consuming PE among all available PEs is chosen for mapping. The efficiency of the proposed scheme has been evaluated by mapping H.264/AVC decoder on a media cloud. Simulation results indicate that by offloading application tasks on more power efficient PEs, the overall energy consumption for this application would be reduced by up to 12 times in a typical scenario in comparison to local processing. Meanwhile, the performance of the heuristic has been compared to the optimal solution.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.