Power-Aware Code Restructuring for Embedded Parallel Storing Device

被引：0

作者：

Xie Bin ^{[1
]}

Shi Qingsong ^{[1
]}

Tong Liangliang ^{[1
]}

Huang Jiangwei ^{[1
]}

Wu Xinliang ^{[1
]}

Chen Tianzhou ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Comp Sci, Hangzhou 310027, Zhejiang, Peoples R China

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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

引用

页码：627 / 632

页数：6

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