Revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision

We revisit wavelet compression by using a standards-based method to reduce large-scale data sizes for production scientific computing. Many of the bottlenecks in visualization and analysis come from limited bandwidth in data movement, from storage to networks. The majority of the processing time for...

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Vydané v:	2011 IEEE Symposium on Large Data Analysis and Visualization s. 31 - 38
Hlavní autori:	Woodring, J., Mniszewski, S., Brislawn, C., DeMarle, D., Ahrens, J.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2011
Predmet:	Bit rate Data visualization E.4 [Data]: Coding and Information Theory-Data compaction and compression H.3.m [Information Storage and Retrieval]: Miscellaneous I.3.8 [Computer Graphics]: Applications Image coding Quantization Transform coding Wavelet transforms
ISBN:	9781467301565, 1467301566
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