Also Available Domains Cadence EDA|Core Memories|Cadence EDA
The main objective of this paper is to reduce the leakage power for data retention based ternary content addressable memory and it can be reduced by using the continuous feature of mask data.
In this project, a new state preserved technique, named Data Retention based TCAM (DR-TCAM), is proposed to reduce the leakage power dissipated in the TCAM memory. The Ternary Content Addressable Memory (TCAM) is widely used in the routing table due to its high lookup performance. However, a large number of transistors would cause the power consumption of TCAM to be considerable. According to the continuous feature of mask data, the DR-TCAM can dynamically adapt the power source of mask cells so as to reduce the TCAM leakage power. Particularly, the mask data wouldn’t be destroyed in the DR-TCAM. The simulation results show that the DR-TCAM performs better than the state of the art works. When compared to the traditional TCAM design, the DR-TCAM dissipates less power. The proposed design implemented using 180nm technology in Tanner EDA tool.
Keywords: Ternary Content Addressable Memory (TCAM), low leakage power, mask data.
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