Implementation of GP-GPU with SIMT Architecture in the Embedded Environment

Recent embedded processors become to be multi-cored, due to the increased power consumption by higher operating frequencies. Multi-core processors stimulate applications to be parallelized. Since general purpose CPU has small number of core, which is optimized for serial processing, it has a limitation of parallel processing. To overcome this limitation, GPU is used for the parallel processing. In this paper, we implement GP-GPU of SIMT architecture for parallel processing in the embedded environment. The performance of the implemented GP-GPU is compared with the existing multi-core CPU of the embedded environment. The comparison results show the performance of parallel processing with the implemented GP-GPU is improved significantly.