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Optimizing LZSS compression on GPGPUs
2014
Future generations computer systems
In this paper, we present an algorithm and provide design improvements needed to port the serial Lempel-Ziv-Storer-Szymanski (LZSS), lossless data compression algorithm, to a parallelized version suitable for general purpose graphic processor units (GPGPU), specifically for NVIDIA's CUDA Framework. The two main stages of the algorithm, substring matching and encoding, are studied in detail to fit into the GPU architecture. We conducted detailed analysis of our performance results and compared
doi:10.1016/j.future.2013.06.022
fatcat:64272o7xgjfc3leprc5ftziu7m