VLSI implementation of single bit control system processor with efficient code density

Ranjith, Jayasanthi; Jayasanthi, M.; Renganayahi, G.

doi:10.1109/icccct.2010.5670536

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Both instructions and lookup tables (LUTs) are compressed to achieve an optimal CR. Based on the same method, Ranjith et al [20] applied the code compression in a delta-sigma control-system processor to reduce the memory cost and optimize power consumption in the processor. Based on the BCC, Chen et al [21] used dictionary-entry replacement algorithm to reduce the power consumption of the systems.…”

Section: Introductionmentioning

confidence: 99%

Code Compression for Embedded Systems Using Separated Dictionaries

Wang

Lin

2016

IEEE Trans. VLSI Syst.

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Engineers must consider performance, power consumption, and cost when designing embedded digital systems; furthermore, memory is a key factor in such systems. Code compression is a technique used in embedded systems to reduce the memory usage. BitMask-based code compression is a modified version of dictionary-based code compression. The basic purpose of BitMask is to record mismatched values and their positions to compress a greater number of instructions; it can be used exclusively or incorporated with the reference instructions to decode the codewords. In this paper, we applied a small separated dictionary, and variable mask numbers were used with the BitMask algorithm to reduce the codeword length of highfrequency instructions. In addition, a novel dictionary selection algorithm was proposed to increase the instruction match rates. The fully separated dictionary method was used to improve the performance of the decompression engine without affecting the compression ratio (CR) (the compressed code size divided by original code size). Based on the experimental results, the proposed method can achieve a 7.5% improvement in the CR with nearly no hardware overhead.Index Terms-Computer architecture, dictionary-based code compression (DCC), embedded systems, separated dictionaries.

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Section: Introductionmentioning

confidence: 99%