Multilevel techniques for compression and reduction of scientific data—the univariate case-Reference-Cited by-同舟云学术

Multilevel techniques for compression and reduction of scientific data—the univariate case

Published:2018-11-09 Issue:5-6 Volume:19 Page:65-76
ISSN:1432-9360
Container-title:Computing and Visualization in Science
language:en
Short-container-title:Comput. Visual Sci.

Author:

Ainsworth Mark,Tugluk Ozan,Whitney Ben,Klasky Scott

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Vision and Pattern Recognition,General Engineering,Modeling and Simulation,Software,Theoretical Computer Science

Link

http://link.springer.com/article/10.1007/s00791-018-00303-9/fulltext.html

Reference31 articles.

1. Ainsworth, M., Klasky, S., Whitney, B.: Compression using lossless decimation: analysis and application. SIAM J. Sci. Comput. 39(4), B732–B757 (2017)

2. Austin, W., Ballard, G., Kolda, T. G.: Parallel tensor compression for large-scale scientific data. In: 2016 IEEE international parallel and distributed processing symposium (IPDPS), pp. 912–922, May 2016

3. Bank, R.E., Dupont, T.F., Yserentant, H.: The hierarchical basis multigrid method. Numer. Math. 52(4), 427–458 (1988)

4. Bautista, G., Leonardo, A., Cappello, F.: Improving floating point compression through binary masks. In: 2013 IEEE international conference on big data, pp. 326–331, October 2013

5. Bornemann, F., Yserentant, H.: A basic norm equivalence for the theory of multilevel methods. Numer. Math. 64(1), 455–476 (1993)

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