会议专题

An FPGA fast combination placement optimization algorithm research

  With the scale of FPGA increasingly becoming larger than before,how to spend less time to reduce the total length of the interconnections to ensure the quality of the placement algorithm needs to be considered as an important issue.In this paper,a fast placement combinatorial algorithm is proposed.The local optimization of the BLE level is implemented by using the low-temperature simulated annealing algorithm after the global placement is completed by adding the fixed point as the force-guided quadratic analytic algorithm.The experimental results have shown that the algorithm is of high quality and with fast speed,which can be successfully applied to industry application.

placement quadratic analytic algorithm low temperature simulated annealing local optimization

Kang Wang Ning Xu Kai Hu

School of Information Engineering,Wuhan University of Technology,Wuhan,China The 58th Research Institute,CETC,Wuxi,China

国际会议

2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

重庆

英文

1258-1262

2017-03-25(万方平台首次上网日期,不代表论文的发表时间)