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A method of adaptive coarsening for compressing scientific datasets
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.
2007 (English)In: Applied Parallel Computing: State Of The Art In Scientific Computing / [ed] Kagstrom, B; Elmroth, E; Dongarra, J; Wasniewski, J, 2007, Vol. 4699, 774-780 p.Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2007. Vol. 4699, 774-780 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 4699
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-41138ISI: 000250904900094ScopusID: 2-s2.0-38049040472ISBN: 978-3-540-75754-2OAI: diva2:443503
8th International Workshop on Applied Parallel Computing (PARA 2006) Location: Umea, Sweden, Date: JUN 18-21, 2006
Available from: 2011-09-26 Created: 2011-09-23 Last updated: 2011-09-26Bibliographically approved

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Shafaat, Tallat M.
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