Title :
Nano-Scale On-Chip Irregular Network Analysis
Author :
Liu, Yang ; Lebeck, Alvin R.
Author_Institution :
Dept. of Comput. Sci., Duke Univ., Durham, NC, USA
Abstract :
Shrinking CMOS feature sizes and the integration of novel nanotechnologies onto silicon platforms are both likely to increase fabrication defects. As a result, on-chip networks become more and more irregular due to defects and it becomes more challenging to map computation and data onto the networks. One way to overcome this challenge is to configure the irregular network into a more conventional regular topology. In this paper we analyze nano-scale on-chip irregular networks to determine the regular topology most similar to a given irregular network. The results show that an irregular network is most similar to a tree. Further analysis is conducted based on configuring an irregular network into a tree structure to show whether there are opportunities to utilize links that are not included in the tree.
Keywords :
CMOS integrated circuits; nanotechnology; network analysis; network topology; CMOS; fabrication defects; nanoscale on-chip irregular network analysis; nanotechnologies; tree structure; CMOS technology; Computer networks; Computer science; Fabrication; Network topology; Network-on-a-chip; Self-assembly; Silicon; Transceivers; Tree data structures;
Conference_Titel :
Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-4581-3
Electronic_ISBN :
1095-2055
DOI :
10.1109/ICCCN.2009.5235292