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A Parallel Algorithm for LZW Decompression, with GPU Implementation

Shunji Funasaka, Koji Nakano, Yasuaki Ito

@inproceedings{funasaka2015parallel,

   title={A parallel algorithm for LZW decompression, with GPU implementation},

   author={Funasaka, Shunji and Nakano, Koji and Ito, Yasuaki},

   booktitle={International Conference on Parallel Processing and Applied Mathematics(Volume 9573)},

   pages={228–237},

   year={2015}

}

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The main contribution of this paper is to present a parallel algorithm for LZW decompression and to implement it in a CUDA-enabled GPU. Since sequential LZW decompression creates a dictionary table by reading codes in a compressed file one by one, its parallelization is not an easy task. We first present a parallel LZW decompression algorithm on the CREW-PRAM. We then go on to present an efficient implementation of this parallel algorithm on a GPU. The experimental results show that our parallel LZW decompression on GeForce GTX 980 runs up to 69.4 times faster than sequential LZW decompression on a single CPU. We also show a scenario that parallel LZW decompression on a GPU can be used for accelerating big data applications.
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