Efficient Code Density Through Look-up Table Compression

Provided by: edaa
Topic: Hardware
Format: PDF
Code density is a major requirement in embedded system design since it not only reduces the need for the scarce resource memory but also implicitly improves further important design parameters like power consumption and performance. Within this paper, the authors introduce a novel and efficient hardware-supported approach that belongs to the group of statistical compression schemes as it is based on Canonical Huffman Coding. In particular, their scheme is the first to also compress the necessary Look-up Tables that can become significant in size if the application is large and/or high compression is desired. Their scheme optimizes the number of generated Look-up Tables to improve the compression ratio.

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