计算机科学
最短路径问题
多路径等成本路由
链路状态路由协议
布线(电子设计自动化)
静态路由
算法
数学优化
图形
路由协议
计算机网络
理论计算机科学
数学
作者
Tan Yan,Qiang Ma,Scott Chilstedt,Martin D. F. Wong,Deming Chen
摘要
Conventional CMOS devices are facing an increasing number of challenges as their feature sizes scale down. Graphene nanoribbon (GNR) based devices are shown to be a promising replacement of traditional CMOS at future technology nodes. However, all previous works on GNRs focus at the device level. In order to integrate these devices into electronic systems, routing becomes a key issue. In this article, the GNR routing problem is studied for the first time. We formulate the GNR routing problem as a minimum hybrid-cost shortest path problem on triangular mesh (“hybrid” means that we need to consider both the length and the bending of the routing path). We show that by graph expansion, this minimum hybrid-cost shortest path problem can be solved by applying the conventional shortest path algorithm on the expanded graph. Experimental results show that our GNR routing algorithm effectively handles the hybrid cost.
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