A Multi-Phase Approach to Floating-Point Compression
| Authors | Kevin Townsend and Joseph Zambreno |
|---|---|
| Type | Conference Paper |
| Published in | Proceedings of the IEEE International Conference on Electro/Information Technology (EIT) |
| Date | May 2015 |
Abstract
This paper presents a lossless double-precision floating point compression algorithm. Floating point compression can reduce the cost of storing and transmitting large amounts of data associated with big data problems. A previous algorithm called FPC performs well and uses predictors. However, predictors have limitations. Our program (fzip) overcomes some of these limitations. fzip has 2 phases, first BWT compression, second value and prefix compression with variable length arithmetic encoding. This approach has the advantage that the phases work together and each phase compresses a different type of pattern. On average fzip achieves a 20% higher compression ratio than other algorithms.
BibTeX
@conference{TowZam15A,
title = {A Multi-Phase Approach to Floating-Point Compression},
booktitle = {Proceedings of the IEEE International Conference on Electro/Information Technology (EIT)},
year = {2015},
month = may,
author = {Townsend, Kevin and Zambreno, Joseph}
}