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Compression Speed Enhancements to LZO for Multi-core Systems

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2 Author(s)
Jason Kane ; Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA ; Qing Yang

This paper examines several promising throughput enhancements to the Lempel-Ziv-Oberhumer (LZO) 1x-1-15 data compression algorithm. Of many algorithm variants present in the current library version, 2.06, LZO 1x-1-15 is considered to be the fastest, geared toward speed rather than compression ratio. We present several algorithm modifications tailored to modern multi-core architectures in this paper that are intended to increase compression speed while minimizing any loss in compression ratio. On average, the experimental results show that on a modern quad core system, a 3.9x speedup in compression time is achieved over the baseline algorithm with no loss to compression ratio. Allowing for a 25% loss in compression ratio, up to a 5.4x speedup in compression time was observed.

Published in:

Computer Architecture and High Performance Computing (SBAC-PAD), 2012 IEEE 24th International Symposium on

Date of Conference:

24-26 Oct. 2012