A low-power network search engine based on statistical partitioning

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

Statistically partitioned, low power TCAM

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 portions based on individual TCAM cell status and achieves up to 30% power reduction. ©2004 IEEE