標題: Construction of Delay-Driven GNR Routing Tree
作者: Yan, Jin-Tai
Yen, Chia-Heng
生物資訊及系統生物研究所
Institude of Bioinformatics and Systems Biology
公開日期: 1-一月-2019
摘要: It is known that graphene nanoribbon (GNR) based devices and interconnects can be treated to be better alternative in nano-scale designs. In this paper, given a source pin and a set of target pins inside a GNR grid-based routing plane, based on the consideration of the wirelength and bending delay in graphene nanoribbon, an efficient routing algorithm can be proposed to construct a delay-driven GNR routing tree with minimizing the total wirelength for the target pins. Compared with Das's algorithm [9] on total wirelength and maximum source-to-target delay, the experimental results show that our proposed routing algorithm only uses 8.05% of the extra wirelength to reduce 23.13% of the maximum delay in the construction of a delay-driven GNR routing tree for 6 tested examples on the average.
URI: http://hdl.handle.net/11536/154480
ISBN: 978-1-7281-1031-8
ISSN: 2472-467X
期刊: 2019 17TH IEEE INTERNATIONAL NEW CIRCUITS AND SYSTEMS CONFERENCE (NEWCAS)
起始頁: 0
結束頁: 0
顯示於類別:會議論文