CAM-Based Huffman Decoding Made Power Efficient

Ternary content addressable (TCAM) is favorable for high-speed search due to its parallel architecture and ability for searching arbitrary-length keys. However, the usage of TCAM is limited because of its high and power consumption. Thispaper introduces a TCAM-based decoding for single-side growing man tree (SGH-tree), which been proposed to reduce the sparsity of traditional tree. Our scheme is based on the property, which leaves in the SGH-tree are highly concentrated. By extracting and searching the common of the codewords, the power consumption and the required storage of TCAM can be reduced as well as its cost. In our experiments based on twelve real images. the power consumption is reduced to twentieth as compared to the original implementation.

• Type: Conference
• Year: 2005
• Where: AINA
• Authors: Pi-Chung Wang, Chun-Liang Lee, Yuan-Rung Yang, Hung-Yi Chang
• Keywords: AINA 2005, Computer Networks, Power Consumption, Single-side Growing Man, Ternary Content