2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Power-Aware Code Restructuring for Embedded Parallel Storing Device
March 17-March 21
ISBN: 978-0-7695-3113-7
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.
Citation:
Xie Bin, Shi Qingsong, Tong Liangliang, Huang Jiangwei, Wu Xinliang, Chen Tianzhou, "Power-Aware Code Restructuring for Embedded Parallel Storing Device," percom, pp.627-632, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications, 2008