Compression speed enhancements to LZO for multi-core systems
Date of Original Version
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. © 2012 IEEE.
Proceedings - Symposium on Computer Architecture and High Performance Computing
Kane, Jason, and Qing Yang. "Compression speed enhancements to LZO for multi-core systems." Proceedings - Symposium on Computer Architecture and High Performance Computing , (2012): 108-115. doi:10.1109/SBAC-PAD.2012.29.