Code compression in embedded processors using multi-dictionary and pattern blocks

Abstract

A novel method using multi-dictionary and pattern blocks is proposed for code compression to effectively reduce the memory size which program code stored. According to the repeat times of different pattern blocks and non-block codes, the code set is clustered into several clusters. Pattern blocks cluster is compressed using dictionary-based compression… (More)
DOI: 10.1109/CCECE.2015.7129303

Topics

5 Figures and Tables

Cite this paper

@article{Tu2015CodeCI, title={Code compression in embedded processors using multi-dictionary and pattern blocks}, author={Ji Tu and Zilong Wang and Meisong Zheng and Lijian Li and Junye Wang}, journal={2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)}, year={2015}, pages={361-365} }