Executing compressed programs on an embedded RISC architecture
MICRO 25 Proceedings of the 25th annual international symposium on Microarchitecture
Improving code density using compression techniques
MICRO 30 Proceedings of the 30th annual ACM/IEEE international symposium on Microarchitecture
Code compression for embedded systems
DAC '98 Proceedings of the 35th annual Design Automation Conference
Cached-code compression for energy minimization in embedded processors
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Design of an one-cycle decompression hardware for performance increase in embedded systems
Proceedings of the 39th annual Design Automation Conference
Multi-profile based code compression
Proceedings of the 41st annual Design Automation Conference
MiBench: A free, commercially representative embedded benchmark suite
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
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Several factors are considered in the development of embedded systems, among which may be mentioned: physical size, weight, mobility, power consumption, memory, safety, all combined with a low cost and ease of use. There are several techniques to optimize the execution time and power consumption in embedded systems. One such technique is the code compression, the majority of existing proposals focuses on decompression assuming the code is compressed in time compilation. This article proposes the development of a new method of compression and decompression code implemented in VHDL and prototyped on an FPGA, called MIC (Middle Instruction Compression). The proposed method was compared with the traditional of Huffman method also implemented in hardware. The MIC showed better performance compared with Huffman for some programs MiBench, widely used in embedded systems, obtaining 17% to less of the logical elements of FPGA, 6% increase in clock frequency (in MHz) and 42% more in compression codes compared the of using Huffman method, and allows the compression and decompression at runtime.