Rectilinear floorplanning of FPGAs using Kohonen map

被引:0
|
作者
Zamani, MS [1 ]
Soleimani, M [1 ]
机构
[1] Amirkabir Univ Technol, Dept Comp Sci & Engn, Tehran, Iran
来源
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003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 this paper, we present an algorithm for the floorplanning of FPGAs (field-programmable gate arrays). The algorithm uses Kohonen self-organizing map to floorplan regular structures with soft modules. An abstract specification of the design is converted to a set of appropriate input vectors, which are fed to the network. At the end of the process, the map shows a two-dimensional plane of the design in which the modules with higher connectivity are placed adjacent to each other, hence minimizing total connection length in the design. Unlike conventional floorplanning algorithms, which are limited to rectangular shapes, our approach can produce rectilinear modules. Using Kohonen map enables the algorithm to do 3-dimensional floorplanning.
引用
收藏
页码:1163 / 1167
页数:5
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