A Method of Adaptive Coarsening for Compressing Scientific Datasets

摘要

We present adaptive coarsening, a multi-resolution lossy compression algorithm for scientific datasets. 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 datasets coming from solutions to time-dependent partial differential equations in one and two dimensions.