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DOE OSTI · 3009669

STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data

Wang, Daoce [University of Nebraska]·Grosset, Andre Vincent Pascal [Los Alamos National Laboratory] (ORCID:0000000321923843)·Pulido, Jesus Jr [Los Alamos National Laboratory] (ORCID:0000000290107762)·Tian, Jiannan [University of Kentucky]·Athawale, Tushar [Oak Ridge National Laboratory]·Jia, Jinda [Indiana University]·Sun, Baixi [Indiana University]·Zhang, Boyuan [Indiana University]·Jin, Sian [Temple University]·Zhao, Kai [Florida State University]·Ahrens, James Paul [Los Alamos National Laboratory] (ORCID:000000019378282X)·Song, Fengguang [Indiana University]
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97 MATHEMATICS AND COMPUTING

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Wang, Daoce [University of Nebraska], Grosset, Andre Vincent Pascal [Los Alamos National Laboratory] (ORCID:0000000321923843), Pulido, Jesus Jr [Los Alamos National Laboratory] (ORCID:0000000290107762), Tian, Jiannan [University of Kentucky], Athawale, Tushar [Oak Ridge National Laboratory], Jia, Jinda [Indiana University], Sun, Baixi [Indiana University], Zhang, Boyuan [Indiana University], Jin, Sian [Temple University], Zhao, Kai [Florida State University], Ahrens, James Paul [Los Alamos National Laboratory] (ORCID:000000019378282X), Song, Fengguang [Indiana University]. 2025-12-11. STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data. https://doi.org/10.2172/3009669

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