A rough programming approach to power-aware VLIW instruction scheduling for digital signal processors

被引：0
|
作者：
Xiao, S [1 ]
Lai, EMK [1 ]
机构：
[1] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING | 2005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：
Current techniques for power-aware VLIW instruction scheduling assumed that the power consumption parameters are precisely known. In reality, there will always be some degree of imprecision. In this paper, we propose to apply rough set theory to handle the imprecision involved. Power consumption parameters are modeled as rough variables and the power-balanced instruction scheduling problem is formulated as a rough program. The effectiveness and advantages of our approach is illustrated through examples.
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页码：141 / 144
页数：4
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