An integrated partitioning and synthesis technique for dynamically reconfigurable systems

被引:0
|
作者
Zhang, XJ [1 ]
Ng, KW [1 ]
机构
[1] Univ Sci & Technol China, Dept Comp Engn & Sci, Shatin, Hong Kong, Peoples R China
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
This paper presents a graph-based algorithmic model that allows the tasks of high-level synthesis dynamically reconfigurable systems to be specified as an optimization problem. Furthermore, we solve the optimization problem through a genetic algorithm, which performs temporal partitioning, module allocation and scheduling simultaneously for maximizing resource usage and minimizing reconfiguration overhead.
引用
收藏
页码:679 / 682
页数:4
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