Practical Speculative Parallelization of Variable-Length Decompression Algorithms

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Provided by: Association for Computing Machinery
Topic: Hardware
Format: PDF
Variable-length coding is widely used for efficient data compression. Typically, the compressor splits the original data into blocks and compresses each block with variable-length codes, hence producing variable-length compressed blocks. Although the compressor can easily exploit ample block-level parallelism, it is much more difficult to extract such coarse-grain parallelism from the decompressor because a block boundary cannot be located until decompression of the previous block is completed. This paper presents novel algorithms to efficiently predict block boundaries and a runtime system that enables efficient block-level parallel decompression, called SDM.
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