Fast Eective Lossy Compression Algorithms for Scientic Datasets Jeremy Iverson Chandrika Kamath and George Karypis University of Minnesota Minneapolis MN USA Lawrence Livermore National Laborator
This paper focuses on developing e64256ective and e64259cient algo rithms for compressing scienti64257c simulation data computed on structured and unstructured grids A paradigm for lossy compression of this data is proposed in which the data compute
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