标题:Optimization methods for computing system in mobile CPS
作者:Zhang, Yang ;Chen, Lirui ;Xing, Zuocheng ;Wang, Qinglin ;Wang, Yu ;Zhu, Yufei
作者机构:[Zhang, Yang ;Chen, Lirui ;Xing, Zuocheng ;Wang, Qinglin ;Wang, Yu ;Zhu, Yufei ] National Laboratory for Parallel and Distributed Processing, National 更多
会议名称:2nd International Conference on Big Data Technologies, ICBDT 2019
会议日期:August 28, 2019 - August 30, 2019
来源:ACM International Conference Proceeding Series
出版年:2019
页码:300-305
DOI:10.1145/3358528.3358551
摘要:In Mobile Cyber-physical system (CPS) is a popular research field in recent years. It aims to control and monitor mobile devices in complex and real-time scenes, and provide people with convenience and economy by using intelligent applications. The scenes in mobile CPS have close relationships with everyone's life and it has pervasive effect on people's life anytime and anywhere. In the paper, we focus on the intelligent transportation systems (ITS) in mobile CPS. Specifically, we analyse the bottlenecks in automated and autonomous vehicles and find the on-car computer is the key component for low latency and low power self-driving vehicles. We show detailed research developments on the most advanced CPU-GPU platform including four aspects, mainly putting focus on the methods to reduce latency and energy in the system. The four aspects cover reducing data transferring overhead, reducing power consumption with power-gating, optimizing warp scheduling scheme and optimizing cache performance in coprocessors. Finally, we give the prospects and development trends in the computing platform of self-driving on-car system.
© 2019 Association for Computing Machinery.
收录类别:EI
资源类型:会议论文
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