Abstract
We present adaptive coarsening, a multi-resolution lossy compression algorithm for scientific dataseis. The algorithm provides guaranteed error bounds according to the user's requirements for subsequent post-processing. We demonstrate compression factors of up to an order of magnitude with dataseis coming from solutions to timedependent partial differential equations in one and two dimensions. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Shafaat, T. M., & Baden, S. B. (2007). A method of adaptive coarsening for compressing scientific datasets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4699 LNCS, pp. 774–780). Springer Verlag. https://doi.org/10.1007/978-3-540-75755-9_94
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