Realization of area optimized data compression techniques for communication applications

Abstract

Data compression is a well-known technique for enhancing performance of communication architectures. Compression has been applied in designing the memory hierarchy, and increases the effective storage in processor and multicore systems. Basically there are two data compression techniques namely cache compression (cc) and bus compression. Cache compression increases the cache capacity by compressing block data and accommodating more blocks in a fixed space. Bus compression technique is similar to other compression techniques; it expands the bus width by encoding a wide data as small as code size. The previous work on data compression techniques was to estimate the area, power and performances. The current work compresses a large packet in to a small one can increases the effective bandwidth of routers and links, while saving power due to reduced operations. The data compression can be relatively applied to communication on congested paths only if compression improves performance. The propose work enhance the performance in reduction in area and low power consumption. The proposed work benefits the communication in terms of network latency and lower power consumption and improved application performances, the above proposed work has been simulated in xilinex 9.2i. Tool.