Title :
Compression Speed Enhancements to LZO for Multi-core Systems
Author :
Kane, Jason ; Yang, Qing
Author_Institution :
Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
Abstract :
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.
Keywords :
data compression; multiprocessing systems; LZO; Lempel-Ziv-Oberhumer 1x-1-15 data compression algorithm; compression speed enhancements; multicore architectures; multicore systems; quad core system; Data compression; Dictionaries; Hardware; Image coding; Instruction sets; Libraries; Lempel-Ziv-Oberhumer (LZO); Lossless Data Compression; Parallel Algorithms; Parallel Computing; Real-Time Systems;
Conference_Titel :
Computer Architecture and High Performance Computing (SBAC-PAD), 2012 IEEE 24th International Symposium on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-4790-7
DOI :
10.1109/SBAC-PAD.2012.29
