Application of Semi-tensor Product-based Bi-decomposition to FPGA Mapping

被引:0
作者
Liu, Fengqiu [1 ]
Yan, Ming [2 ]
Mao, Yuxin [3 ]
Wang, Jianmin [4 ]
机构
[1] Ningbo Univ Technol, Sch Sci, Ningbo 315211, Peoples R China
[2] China North Vehicle Res Inst, Beijing 100072, Peoples R China
[3] China North Engine Res Inst, Tianjin 300412, Peoples R China
[4] Ningbo Univ Technol, Sch Elect & Informat Engn, Ningbo 315211, Peoples R China
来源
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
关键词
Semi-tensor product; Boolean function; Boolean networks; bi-decomposition; FPGA mapping; MULTIVALUED LOGICAL FUNCTIONS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a new semi-tensor product-based bi-decomposition algorithm for field programmable logic gate (FPGA) mapping with t-input look-up tables (LUTs). First, we introduce the structure matrix of a Boolean function through the technology of the semi-tensor product. Then, we break the Boolean function into smaller parts with t or less t inputs through multiple bi-decomposition of the structure matrix regardless of the specific forms of the Boolean function. The FPGA mapping is completed until all these smaller functions are replaced by t-input LUTs. Finally, we apply the proposed algorithm to a nine-input combinational logic circuit. The experimental results show the validation of the proposed algorithm. Application of Semi-tensor Product-based Bi-decomposition to FPGA Mapping.
引用
收藏
页码:5945 / 5949
页数:5
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