Abstract-A low-power Content-Addressable-Memory (CAM) is introduced employing a new mechanism for associativity between the input tags and the corresponding address of the output data. The proposed architecture is based on a recently developed clustered-sparse-network using binary-weighted connections that on-average will eliminate most of the parallel comparisons performed during a search. Therefore, the dynamic energy consumption of the proposed design is significantly lower compared to that of a conventional low-power CAM design. Given an input tag, the proposed architecture computes a few possibilities for the location of the matched tag and performs the comparisons on them to locate a single valid match. A 0.13µm CMOS technology was used for simulation purposes. The energy consumption and the search delay of the proposed design are 9.5%, and 30.4% of that of the conventional NAND architecture respectively with a 3.4% higher number of transistors.
The same group of authors also develop a content addressable memory in REF saving 90% of the energy consumption.
A Low-Power Content-Addressable-Memory Based on Clustered-Sparse-Networks
2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors
2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors
Computer Science