Purpose
Memory plays a vital role in designing embedded systems. A larger memory can accommodate more and larger applications but increases cost area, as well as energy requirements. Hence, the purpose of this paper is to propose code compression techniques to solve this issue by minimizing the code size of the application program by compressing the instructions with higher static frequency.
Design/methodology/approach
The idea is based on the static and dynamic frequency-based algorithm combined with bit mask and dictionary-based algorithm for MIPS32 processor, in order to minimize the code size and improves compression ratio.
Findings
The experimental result shows that the proposed system achieves up to 67 percent compression efficiency.
Originality/value
The paper presents enhanced versions of the code compression technique.
A bitmask-based code compression technique for embedded systems
