Title
A Low-Power Network Search Engine Based On Statistical Partitioning
Abstract
Network search engines based on Ternary CAMs are widely used in routers. However, due to parallel search nature of TCAMs power consumption becomes a critical issue. In this work we propose an architecture that partitions the lookup table into multiple TCAM chips based on individual TCAM cell status and achieves lower power figures.
Publication Date
6-22-2004
Publication Title
IEEE Workshop on High Performance Switching and Routing, HPSR
Number of Pages
264-268
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
2942616763 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/2942616763
STARS Citation
Kocak, Taskin and Basci, Faysal, "A Low-Power Network Search Engine Based On Statistical Partitioning" (2004). Scopus Export 2000s. 5445.
https://stars.library.ucf.edu/scopus2000/5445