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arXiv · 1805.01844

Polynomial data compression for large-scale physics experiments

Pierre Aubert·Thomas Vuillaume·Gilles Maurin·Jean Jacquemier·Giovanni Lamanna·Nahid Emad
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Abstract

The new generation research experiments will introduce huge data surge to a continuously increasing data production by current experiments. This data surge necessitates efficient compression techniques. These compression techniques must guarantee an optimum tradeoff between compression rate and the corresponding compression /decompression speed ratio without affecting the data integrity. This work presents a lossless compression algorithm to compress physics data generated by Astronomy, Astrophysics and Particle Physics experiments. The developed algorithms have been tuned and tested on a real use case~: the next generation ground-based high-energy gamma ray observatory, Cherenkov Telescope Array (CTA), requiring important compression performance. Stand-alone, the proposed compression method is very fast and reasonably efficient. Alternatively, applied as pre-compression algorithm, it can accelerate common methods like LZMA, keeping close performance.

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Pierre Aubert, Thomas Vuillaume, Gilles Maurin, Jean Jacquemier, Giovanni Lamanna, Nahid Emad. 2018-05-03. Polynomial data compression for large-scale physics experiments. https://arxiv.org/abs/1805.01844

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