A method of adaptive coarsening for compressing scientific datasets

Authors:
Tallat M. Shafaat;Scott B. Baden
Affiliations:
Royal Institute of Technology (KTH), School of Information and Communication, Stockholm, Sweden;Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA
Venue:
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
Year:
2006

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Abstract

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 timedependent partial differential equations in one and two dimensions.