PROJECT TITLE :

Code Compression for Embedded Systems Using Separated Dictionaries - 2016

ABSTRACT:

Engineers should take into account performance, power consumption, and price when designing embedded digital systems; furthermore, memory may be a key factor in such systems. Code compression could be a technique employed in embedded systems to reduce the memory usage. BitMask-based code compression is a modified version of dictionary-primarily based code compression. The basic purpose of BitMask is to record mismatched values and their positions to compress a larger range of directions; it can be used solely or incorporated with the reference instructions to decode the codewords. In this paper, we applied a little separated dictionary, and variable mask numbers were used with the BitMask algorithm to cut back the codeword length of high-frequency instructions. In addition, a completely unique dictionary choice algorithm was proposed to increase the instruction match rates. The fully separated dictionary method was used to boost the performance of the decompression engine without affecting the compression ratio (CR) (the compressed code size divided by original code size). Primarily based on the experimental results, the proposed method can achieve a 7.fivep.c improvement within the CR with nearly no hardware overhead.