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Zstandard - Real-time data compression algorithm. http:\/\/facebook.github.io\/zstd\/ (2015)."},{"key":"e_1_3_2_1_11_1","volume-title":"Orthonormal bases of compactly supported wavelets. Communications on pure and applied mathematics 41, 7","author":"Daubechies Ingrid","year":"1988","unstructured":"Ingrid Daubechies . 1988. Orthonormal bases of compactly supported wavelets. Communications on pure and applied mathematics 41, 7 ( 1988 ), 909--996. Ingrid Daubechies. 1988. Orthonormal bases of compactly supported wavelets. Communications on pure and applied mathematics 41, 7 (1988), 909--996."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevFluids.5.114602"},{"key":"e_1_3_2_1_13_1","volume-title":"Using Neural Networks for Two Dimensional Scientific Data Compression. In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2956--2965","author":"Hayne Lucas","year":"2021","unstructured":"Lucas Hayne , John Clyne , and Shaomeng Li . 2021 . Using Neural Networks for Two Dimensional Scientific Data Compression. In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2956--2965 . Lucas Hayne, John Clyne, and Shaomeng Li. 2021. Using Neural Networks for Two Dimensional Scientific Data Compression. In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2956--2965."},{"key":"e_1_3_2_1_14_1","series-title":"SIAM review 31, 4","volume-title":"Continuous and discrete wavelet transforms","author":"Heil Christopher E","year":"1989","unstructured":"Christopher E Heil and David F Walnut . 1989. Continuous and discrete wavelet transforms . SIAM review 31, 4 ( 1989 ), 628--666. Christopher E Heil and David F Walnut. 1989. Continuous and discrete wavelet transforms. SIAM review 31, 4 (1989), 628--666."},{"key":"e_1_3_2_1_15_1","unstructured":"Hurricane ISABEL simulation data. 2004. http:\/\/vis.computer.org\/vis2004contest\/data.html. Online.  Hurricane ISABEL simulation data. 2004. http:\/\/vis.computer.org\/vis2004contest\/data.html. Online."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","first-page":"97","DOI":"10.3997\/1365-2397.fb2020015","article-title":"GeoDRIVE - a high performance computing flexible platform for seismic applications","volume":"38","author":"Suha Kayum","year":"2020","unstructured":"Suha Kayum et al. 2020 . GeoDRIVE - a high performance computing flexible platform for seismic applications . First Break 38 , 2 (2020), 97 -- 100 . Suha Kayum et al. 2020. GeoDRIVE - a high performance computing flexible platform for seismic applications. First Break 38, 2 (2020), 97--100.","journal-title":"First Break"},{"key":"e_1_3_2_1_17_1","volume-title":"Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114","author":"Kingma Diederik P","year":"2013","unstructured":"Diederik P Kingma and Max Welling . 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 ( 2013 ). 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Turbulent transport reduction by zonal flows: massively parallel simulations. Science 281, 5384 ( 1998 ), 1835. Z Lin, Hhm TS, WW Lee, WM Tang, and RB White. 1998. Turbulent transport reduction by zonal flows: massively parallel simulations. Science 281, 5384 (1998), 1835."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346458"},{"key":"e_1_3_2_1_26_1","unstructured":"Peter G Lindstrom etal 2017. Fpzip. Technical Report. Lawrence Livermore National Lab.(LLNL) Livermore CA (United States).  Peter G Lindstrom et al. 2017. Fpzip. Technical Report. Lawrence Livermore National Lab.(LLNL) Livermore CA (United States)."},{"key":"e_1_3_2_1_27_1","volume-title":"Exploring Autoencoder-based Error-bounded Compression for Scientific Data. In 2021 IEEE International Conference on Cluster Computing (CLUSTER). 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Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, and Xubin He. 2021. High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data. IEEE Transactions on Big Data (2021)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2018.00044"},{"key":"e_1_3_2_1_31_1","unstructured":"NYX simulation. 2019. https:\/\/amrex-astro.github.io\/Nyx. Online.  NYX simulation. 2019. https:\/\/amrex-astro.github.io\/Nyx. Online."},{"key":"e_1_3_2_1_32_1","volume-title":"low-complexity image coding with a set-partitioning embedded block coder","author":"Pearlman William A","year":"2004","unstructured":"William A Pearlman , Asad Islam , Nithin Nagaraj , and Amir Said . 2004. Efficient , low-complexity image coding with a set-partitioning embedded block coder . IEEE transactions on circuits and systems for video technology 14, 11 ( 2004 ), 1219--1235. William A Pearlman, Asad Islam, Nithin Nagaraj, and Amir Said. 2004. Efficient, low-complexity image coding with a set-partitioning embedded block coder. IEEE transactions on circuits and systems for video technology 14, 11 (2004), 1219--1235."},{"key":"e_1_3_2_1_33_1","volume-title":"Exploration of Lossy Compression for Application-Level Checkpoint\/Restart. In IPDPS","author":"Sasaki Naoto","year":"2015","unstructured":"Naoto Sasaki , Kento Sato , Toshio Endo , and Satoshi Matsuoka . 2015 . Exploration of Lossy Compression for Application-Level Checkpoint\/Restart. In IPDPS 2015. 914--922. Naoto Sasaki, Kento Sato, Toshio Endo, and Satoshi Matsuoka. 2015. Exploration of Lossy Compression for Application-Level Checkpoint\/Restart. In IPDPS 2015. 914--922."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2017.115"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1177\/1094342017737147"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2019.2894404"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2002.800725"},{"key":"e_1_3_2_1_38_1","volume-title":"Data Management Challenges of Exascale Scientific Simulations: A Case Study with the Gyrokinetic Toroidal Code and ADIOS. (7","author":"Wan Lipeng","year":"2019","unstructured":"Lipeng Wan , Kshitij V. Mehta , Scott A. Klasky , Matthew D. Wolf , H Y. Wang , W H. Wang , J C. Li , and Zhihong Lin . 2019. Data Management Challenges of Exascale Scientific Simulations: A Case Study with the Gyrokinetic Toroidal Code and ADIOS. (7 2019 ). Lipeng Wan, Kshitij V. Mehta, Scott A. Klasky, Matthew D. Wolf, H Y. Wang, W H. Wang, J C. Li, and Zhihong Lin. 2019. 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