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Recently, many photovoltaic systems (PV systems) including solar parks and PV farms have been built to preparefor the post fossil fuel era. To investigate the degradation process of the PV systems and thus, efficiently operate PVsystems, there is a need to visually monitor PV systems in the range of infrared ray through the Internet. For efficientvisual monitoring, this paper explores a multithreaded implementation of a recently developed HEVC standard whosecompression efficiency is almost two times higher than H.264. For an efficient parallel implementation under a meshbased64 multicore system, this work takes into account various design choices which can solve potential problems ofa two-dimensional interconnects-based 64 multicore system. These problems may have not occurred in a small-scalemulticore system based on a simple bus network. Through extensive evaluation, this paper shows that, for an efficientmultithreaded implementation of HEVC intra prediction in a mesh-based multicore system, much effort needs to bemade to optimize communications among processing cores. Thus, this work provides three design choices regardingcommunications, i.e., main thread core location, cache home policy, and maximum coding unit size. These designchoices are shown to improve the overall parallel performance of the HEVC intra prediction algorithm by up to 42%,achieving a 7 times higher speed-up

A Multithreaded Implementation of HEVC Intra Prediction Algorithm for a Photovoltaic Monitoring System