Title :
Power-Aware Code Restructuring for Embedded Parallel Storing Device
Author :
Bin, Xie ; Qingsong, Shi ; Liangliang, Tong ; Jiangwei, Huang ; Xinliang, Wu ; Tianzhou, Chen
Author_Institution :
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou
Abstract :
In order to cope with the energy challenge emerging with the process of parallelism in embedded storing device, this paper focuses on the static code restructuring of nested loop array accessing related to storing device. Departing the running time of different devices can extend the duration time when it is in low- power state. Experiment shows that power-aware code restructuring can effectively reduce state switching times and extra power wasted. Static method described in this paper can achieve up to 12% power reduction if it cooperates with proper dynamic method.
Keywords :
embedded systems; parallel processing; power aware computing; program compilers; program control structures; storage management; embedded parallel storing device; nested loop array; power-aware code restructuring; static code restructuring; Batteries; Costs; Embedded system; Energy consumption; Energy management; Hardware; Pervasive computing; Power supplies; Power system management; Runtime;
Conference_Titel :
Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3113-7
DOI :
10.1109/PERCOM.2008.62