MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction
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Scott Klasky | Qing Liu | Jieyang Chen | Matthew Wolf | Norbert Podhorszki | Dingwen Tao | James Kress | Ben Whitney | Dave Pugmire | Lipeng Wan | Xin Liang | N. Podhorszki | M. Wolf | S. Klasky | Jieyang Chen | D. Pugmire | Xin Liang | Dingwen Tao | Qing Liu | Lipeng Wan | Ben Whitney | James Kress
[1] Franck Cappello,et al. Fast Error-Bounded Lossy HPC Data Compression with SZ , 2016, 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
[2] Franck Cappello,et al. Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization , 2017, 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
[3] Gregory K. Wallace,et al. The JPEG still picture compression standard , 1992 .
[4] Claude E. Shannon,et al. The mathematical theory of communication , 1950 .
[5] Scott Klasky,et al. Multilevel Techniques for Compression and Reduction of Scientific Data - The Multivariate Case , 2019, SIAM J. Sci. Comput..
[6] Martin Burtscher,et al. FPC: A High-Speed Compressor for Double-Precision Floating-Point Data , 2009, IEEE Transactions on Computers.
[7] Michael W. Marcellin,et al. JPEG2000 - image compression fundamentals, standards and practice , 2013, The Kluwer international series in engineering and computer science.
[8] Franck Cappello,et al. An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound , 2018, 2018 IEEE International Conference on Cluster Computing (CLUSTER).
[9] Scott Klasky,et al. Multilevel techniques for compression and reduction of scientific data—the univariate case , 2018, Comput. Vis. Sci..
[10] Tong Liu,et al. Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data , 2018, 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
[11] T. Berger. Rate-Distortion Theory , 2003 .
[12] Ying Wai Li,et al. QMCPACK: an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids , 2018, Journal of physics. Condensed matter : an Institute of Physics journal.
[13] Seung Woo Son,et al. NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing , 2014, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis.
[14] Jeremy S. Meredith,et al. DCA++: A case for science driven application development for leadership computing platforms , 2009 .
[15] John Clyne,et al. VAPOR: A Visualization Package Tailored to Analyze Simulation Data in Earth System Science , 2019, Atmosphere.
[16] Franck Cappello,et al. Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets , 2018, 2018 IEEE International Conference on Big Data (Big Data).
[17] Jarek Rossignac,et al. Out‐of‐core compression and decompression of large n‐dimensional scalar fields , 2003, Comput. Graph. Forum.
[18] Peter Lindstrom,et al. Fixed-Rate Compressed Floating-Point Arrays , 2014, IEEE Transactions on Visualization and Computer Graphics.
[19] Scott Klasky,et al. Multilevel Techniques for Compression and Reduction of Scientific Data-Quantitative Control of Accuracy in Derived Quantities , 2019, SIAM J. Sci. Comput..
[20] Martin Isenburg,et al. Fast and Efficient Compression of Floating-Point Data , 2006, IEEE Transactions on Visualization and Computer Graphics.
[21] Robert Latham,et al. ISABELA for effective in situ compression of scientific data , 2013, Concurr. Comput. Pract. Exp..
[22] Franck Cappello,et al. Significantly improving lossy compression quality based on an optimized hybrid prediction model , 2019, SC.
[23] Peter Deutsch,et al. GZIP file format specification version 4.3 , 1996, RFC.