J. C. WuL. ChenTZI-DAR CHIUEH2018-09-102018-09-102012-04http://scholars.lib.ntu.edu.tw/handle/123456789/374465In this study, we designed an energy-optimized real-time GPS software receiver that runs on desktop and server platforms. The proposed GPS software receiver moves most time-consuming operations to the GPU and achieves considerable increase in performance as well as substantial reduction in total energy consumption. The proposed receiver achieves a 7.5X speedup from the original CPU program. Furthermore, it reduces approximately 65% energy consumption when compared to a software receiver without GPU acceleration. © 2012 IEEE.CUDA; GPS; parallel programming; software receiver[SDGs]SDG7Baseband receivers; CUDA; GPU accelerations; Real-time GPS; Server platform; Software receivers; Software-based; Substantial reduction; Total energy consumption; Energy utilization; Parallel programming; Global positioning systemconference paper10.1109/VLSI-DAT.2012.62126172-s2.0-84864051700