Title :
Statistically partitioned, low power TCAM
Author :
Basci, Fapsal ; Kocak, Taskin
Author_Institution :
Dept. of Electr. & Comput. Eng., Central Florida Univ., Orlando, FL, USA
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 paper, 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.
Keywords :
IP networks; content-addressable storage; logic partitioning; low-power electronics; power consumption; statistical analysis; table lookup; lookup table; network search engines; power consumption; power reduction; routers; ternary CAM; Associative memory; CADCAM; Cams; Computer aided manufacturing; Computer architecture; Energy consumption; Routing; Search engines; Silicon; Table lookup;
Conference_Titel :
Circuits and Systems, 2004. NEWCAS 2004. The 2nd Annual IEEE Northeast Workshop on
Print_ISBN :
0-7803-8322-2
DOI :
10.1109/NEWCAS.2004.1359039
