{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T15:39:51Z","timestamp":1783784391188,"version":"3.55.0"},"reference-count":64,"publisher":"Association for Computing Machinery (ACM)","issue":"4","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:p>Today's scientific simulations and instruments are producing a large amount of data, leading to difficulties in storing, transmitting, and analyzing these data. While error-controlled lossy compressors are effective in significantly reducing data volumes and efficiently developing databases for multiple scientific applications, they mainly support error controls on raw data, which leaves a significant gap between the data and user's downstream analysis. This may cause unqualified uncertainties in the outcomes of the analysis, a.k.a quantities of interest (QoIs), which are the major concerns of users in adopting lossy compression in practice. In this paper, we propose rigorous mathematical theories to preserve four families of QoIs that are widely used in scientific analysis during lossy compression along with practical implementations. Specifically, we first develop the error control theory for univariate QoIs which are essential for computing physical properties such as kinetic energy, followed by multivariate QoIs that are more commonly used in real-world applications. The proposed method is integrated into a state-of-the-art compression framework in a modular fashion, which could easily adapt to new QoIs and new compression algorithms. Experiments on real-world datasets demonstrate that the proposed method provides faithful error control on important QoIs including kinetic energy, regional average, and isosurface without trials and errors, while offering compression ratios that are up to 4X of the compression ratios provided by state-of-the-art compressors.<\/jats:p>","DOI":"10.14778\/3574245.3574255","type":"journal-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T23:14:12Z","timestamp":1677021252000},"page":"697-710","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":25,"title":["Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data"],"prefix":"10.14778","volume":"16","author":[{"given":"Pu","family":"Jiao","sequence":"first","affiliation":[{"name":"University of Kentucky"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng","family":"Di","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanqi","family":"Guo","sequence":"additional","affiliation":[{"name":"The Ohio State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Alabama at Birmingham"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiannan","family":"Tian","sequence":"additional","affiliation":[{"name":"Indiana University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dingwen","family":"Tao","sequence":"additional","affiliation":[{"name":"Indiana University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Liang","sequence":"additional","affiliation":[{"name":"University of Kentucky"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Franck","family":"Cappello","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,2,21]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"2019. ExaFEL: Data Analytics at the Exascale for Free Electron Lasers. https:\/\/www.exascaleproject.org\/wp-content\/uploads\/2019\/10\/ExaFEL.pdf.  2019. ExaFEL: Data Analytics at the Exascale for Free Electron Lasers. https:\/\/www.exascaleproject.org\/wp-content\/uploads\/2019\/10\/ExaFEL.pdf."},{"key":"e_1_2_1_2_1","unstructured":"2021. Nyx: An adaptive mesh cosmological hydrodynamics simulation code. https:\/\/amrex-astro.github.io\/Nyx\/. Online.  2021. Nyx: An adaptive mesh cosmological hydrodynamics simulation code. https:\/\/amrex-astro.github.io\/Nyx\/. Online."},{"key":"e_1_2_1_3_1","unstructured":"2021. Team at Princeton Plasma Physics Laboratory employs DOE super-computers to understand heat-load width requirements of future ITER device. https:\/\/www.olcf.ornl.gov\/2021\/02\/18\/scientists-use-supercomputers-to-study-reliable-fusion-reactor-design-operation. Online.  2021. Team at Princeton Plasma Physics Laboratory employs DOE super-computers to understand heat-load width requirements of future ITER device. https:\/\/www.olcf.ornl.gov\/2021\/02\/18\/scientists-use-supercomputers-to-study-reliable-fusion-reactor-design-operation. Online."},{"key":"e_1_2_1_4_1","unstructured":"2022. Bebop_supercomputer. Available at https:\/\/www.lcrc.anl.gov\/systems\/resources\/bebop. Online.  2022. Bebop_supercomputer. Available at https:\/\/www.lcrc.anl.gov\/systems\/resources\/bebop. Online."},{"key":"e_1_2_1_5_1","unstructured":"2022. Foundry Cluster. https:\/\/itrss.mst.edu\/cluster\/foundry.  2022. Foundry Cluster. https:\/\/itrss.mst.edu\/cluster\/foundry."},{"key":"e_1_2_1_6_1","unstructured":"2022. Theta Computing System. https:\/\/www.alcf.anl.gov\/support-center\/theta-and-thetagpu. Online.  2022. Theta Computing System. https:\/\/www.alcf.anl.gov\/support-center\/theta-and-thetagpu. Online."},{"key":"e_1_2_1_7_1","volume-title":"Calculus: a complete course","author":"Adams Robert A","unstructured":"Robert A Adams and Christopher Essex . 1999. Calculus: a complete course . Vol. 4 . Addison-Wesley Boston . Robert A Adams and Christopher Essex. 1999. Calculus: a complete course. Vol. 4. Addison-Wesley Boston."},{"key":"e_1_2_1_8_1","volume-title":"Paraview: An end-user tool for large data visualization. The visualization handbook 717, 8","author":"Ahrens James","year":"2005","unstructured":"James Ahrens , Berk Geveci , and Charles Law . 2005 . Paraview: An end-user tool for large data visualization. The visualization handbook 717, 8 (2005). James Ahrens, Berk Geveci, and Charles Law. 2005. Paraview: An end-user tool for large data visualization. The visualization handbook 717, 8 (2005)."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00791-018-00303-9"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1137\/18M1166651"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1137\/18M1208885"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1088\/0004-637X\/765\/1\/39"},{"key":"e_1_2_1_13_1","unstructured":"F Alted. [n.d.]. BlosC compressor. http:\/\/blosc.org\/. Online.  F Alted. [n.d.]. BlosC compressor. http:\/\/blosc.org\/. Online."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1239971.1239974"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67630-2_3"},{"key":"e_1_2_1_16_1","volume-title":"TTHRESH: Tensor compression for multidimensional visual data","author":"Ballester-Ripoll Rafael","year":"2019","unstructured":"Rafael Ballester-Ripoll , Peter Lindstrom , and Renato Pajarola . 2019 . TTHRESH: Tensor compression for multidimensional visual data . IEEE transactions on visualization and computer graphics 26, 9 (2019), 2891--2903. Rafael Ballester-Ripoll, Peter Lindstrom, and Renato Pajarola. 2019. TTHRESH: Tensor compression for multidimensional visual data. IEEE transactions on visualization and computer graphics 26, 9 (2019), 2891--2903."},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1177\/1094342019853336"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2003.11.008"},{"key":"e_1_2_1_19_1","volume-title":"Exascale Scientific Applications","author":"Chang Choong-Seock","unstructured":"Choong-Seock Chang . 2017. The fusion code XGC: Enabling kinetic study of multiscale edge turbulent transport in ITER . In Exascale Scientific Applications . Chapman and Hall\/CRC , 529--552. Choong-Seock Chang. 2017. The fusion code XGC: Enabling kinetic study of multiscale edge turbulent transport in ITER. In Exascale Scientific Applications. Chapman and Hall\/CRC, 529--552."},{"key":"e_1_2_1_20_1","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.combustflame.2017.02.027","article-title":"Flame thickness and conditional scalar dissipation rate in a premixed temporal turbulent reacting jet","volume":"184","author":"Chaudhuri Swetaprovo","year":"2017","unstructured":"Swetaprovo Chaudhuri , Hemanth Kolla , Himanshu L Dave , Evatt R Hawkes , Jacqueline H Chen , and Chung K Law . 2017 . Flame thickness and conditional scalar dissipation rate in a premixed temporal turbulent reacting jet . Combustion and Flame 184 (2017), 273 -- 285 . Swetaprovo Chaudhuri, Hemanth Kolla, Himanshu L Dave, Evatt R Hawkes, Jacqueline H Chen, and Chung K Law. 2017. Flame thickness and conditional scalar dissipation rate in a premixed temporal turbulent reacting jet. Combustion and Flame 184 (2017), 273--285.","journal-title":"Combustion and Flame"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/375663.375692"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/41.5.283"},{"key":"e_1_2_1_23_1","unstructured":"Yann Collet. [n.d.]. Zstandard - Real-time data compression algorithm. http:\/\/facebook.github.io\/zstd\/. Online.  Yann Collet. [n.d.]. Zstandard - Real-time data compression algorithm. http:\/\/facebook.github.io\/zstd\/. Online."},{"key":"e_1_2_1_24_1","unstructured":"Hurricane ISABEL dataset. [n.d.]. http:\/\/sciviscontest-staging.ieeevis.org\/2004\/data.html. Online.  Hurricane ISABEL dataset. [n.d.]. http:\/\/sciviscontest-staging.ieeevis.org\/2004\/data.html. Online."},{"key":"e_1_2_1_25_1","volume-title":"International Workshop on Traffic Monitoring and Analysis. Springer, 143--156","author":"Deri Luca","year":"2012","unstructured":"Luca Deri , Simone Mainardi , and Francesco Fusco . 2012 . tsdb: A compressed database for time series . In International Workshop on Traffic Monitoring and Analysis. Springer, 143--156 . Luca Deri, Simone Mainardi, and Francesco Fusco. 2012. tsdb: A compressed database for time series. In International Workshop on Traffic Monitoring and Analysis. Springer, 143--156."},{"key":"e_1_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Peter Deutsch. 1996. GZIP file format specification version 4.3. (1996).  Peter Deutsch. 1996. GZIP file format specification version 4.3. (1996).","DOI":"10.17487\/rfc1952"},{"key":"e_1_2_1_27_1","volume-title":"2018 IEEE International Conference on Cluster Computing. IEEE, 1--11","author":"Gok Ali Murat","year":"2018","unstructured":"Ali Murat Gok , Sheng Di , Yuri Alexeev , Dingwen Tao , Vladimir Mironov , Xin Liang , and Franck Cappello . 2018 . Pastri: Error-bounded lossy compression for two-electron integrals in quantum chemistry . In 2018 IEEE International Conference on Cluster Computing. IEEE, 1--11 . Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir Mironov, Xin Liang, and Franck Cappello. 2018. Pastri: Error-bounded lossy compression for two-electron integrals in quantum chemistry. In 2018 IEEE International Conference on Cluster Computing. IEEE, 1--11."},{"key":"e_1_2_1_28_1","volume-title":"Smoky Mountains Computational Sciences and Engineering Conference. Springer.","author":"Gong Qian","year":"2021","unstructured":"Qian Gong , Xin Liang , Ben Whitney , Jong Youl Choi , Jieyang Chen , Lipeng Wan , St\u00e9phane Ethier , Seung-Hoe Ku , R. Michael Churchill , C.-S. Chang , Mark Ainsworth , Ozan Tugluk , Todd Munson , David Pugmire , Rick Archibald , and Scott Klasky . 2021 . Maintaining trust in reduction: preserving the accuracy of quantities of interest for lossy compression . In Smoky Mountains Computational Sciences and Engineering Conference. Springer. Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, St\u00e9phane Ethier, Seung-Hoe Ku, R. Michael Churchill, C.-S. Chang, Mark Ainsworth, Ozan Tugluk, Todd Munson, David Pugmire, Rick Archibald, and Scott Klasky. 2021. Maintaining trust in reduction: preserving the accuracy of quantities of interest for lossy compression. In Smoky Mountains Computational Sciences and Engineering Conference. Springer."},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2503210.2504566"},{"key":"e_1_2_1_30_1","volume-title":"Efficient compressed database of equilibrated configurations of ring-linear polymer blends for MD simulations. Scientific data 9, 1","author":"Hagita Katsumi","year":"2022","unstructured":"Katsumi Hagita , Takahiro Murashima , Masao Ogino , Manabu Omiya , Kenji Ono , Tetsuo Deguchi , Hiroshi Jinnai , and Toshihiro Kawakatsu . 2022. Efficient compressed database of equilibrated configurations of ring-linear polymer blends for MD simulations. Scientific data 9, 1 ( 2022 ), 1--9. Katsumi Hagita, Takahiro Murashima, Masao Ogino, Manabu Omiya, Kenji Ono, Tetsuo Deguchi, Hiroshi Jinnai, and Toshihiro Kawakatsu. 2022. Efficient compressed database of equilibrated configurations of ring-linear polymer blends for MD simulations. Scientific data 9, 1 (2022), 1--9."},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/JRPROC.1952.273898"},{"key":"e_1_2_1_32_1","doi-asserted-by":"crossref","first-page":"742","DOI":"10.1111\/gcb.12073","article-title":"Stream isotherm shifts from climate change and implications for distributions of ectothermic organisms","volume":"19","author":"Isaak Daniel J","year":"2013","unstructured":"Daniel J Isaak and Bruce E Rieman . 2013 . Stream isotherm shifts from climate change and implications for distributions of ectothermic organisms . Global Change Biology 19 , 3 (2013), 742 -- 751 . Daniel J Isaak and Bruce E Rieman. 2013. Stream isotherm shifts from climate change and implications for distributions of ectothermic organisms. Global Change Biology 19, 3 (2013), 742--751.","journal-title":"Global Change Biology"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-D-13-00255.1"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-648X\/aab9c3"},{"key":"e_1_2_1_35_1","volume-title":"On information and sufficiency. The annals of mathematical statistics 22, 1","author":"Kullback Solomon","year":"1951","unstructured":"Solomon Kullback and Richard A Leibler . 1951. On information and sufficiency. The annals of mathematical statistics 22, 1 ( 1951 ), 79--86. Solomon Kullback and Richard A Leibler. 1951. On information and sufficiency. The annals of mathematical statistics 22, 1 (1951), 79--86."},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.2887"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.3390\/atmos10090488"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3295500.3356193"},{"key":"e_1_2_1_39_1","volume-title":"2018 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 179--189","author":"Liang Xin","year":"2018","unstructured":"Xin Liang , Sheng Di , Dingwen Tao , Zizhong Chen , and Franck Cappello . 2018 . An efficient transformation scheme for lossy data compression with point-wise relative error bound . In 2018 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 179--189 . Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, and Franck Cappello. 2018. An efficient transformation scheme for lossy data compression with point-wise relative error bound. In 2018 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 179--189."},{"key":"e_1_2_1_40_1","volume-title":"2018 IEEE International Conference on Big Data. IEEE, 438--447","author":"Liang Xin","year":"2018","unstructured":"Xin Liang , Sheng Di , Dingwen Tao , Sihuan Li , Shaomeng Li , Hanqi Guo , Zizhong Chen , and Franck Cappello . 2018 . Error-controlled lossy compression optimized for high compression ratios of scientific datasets . In 2018 IEEE International Conference on Big Data. IEEE, 438--447 . Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, and Franck Cappello. 2018. Error-controlled lossy compression optimized for high compression ratios of scientific datasets. In 2018 IEEE International Conference on Big Data. IEEE, 438--447."},{"key":"e_1_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Xin Liang Hanqi Guo Sheng Di Franck Cappello Mukund Raj Chunhui Liu Kenji Ono Zizhong Chen and Tom Peterka. 2020. Toward Feature-Preserving 2D and 3D Vector Field Compression.. In PacificVis. 81--90.  Xin Liang Hanqi Guo Sheng Di Franck Cappello Mukund Raj Chunhui Liu Kenji Ono Zizhong Chen and Tom Peterka. 2020. Toward Feature-Preserving 2D and 3D Vector Field Compression.. In PacificVis. 81--90.","DOI":"10.1109\/PacificVis48177.2020.6431"},{"key":"e_1_2_1_42_1","volume-title":"Optimizing multilevel methods for error-bounded scientific data reduction","author":"Liang Xin","year":"2021","unstructured":"Xin Liang , Ben Whitney , Jieyang Chen , Lipeng Wan , Qing Liu , Dingwen Tao , James Kress , David R Pugmire , Matthew Wolf , Norbert Podhorszki , and Scott Klasky . 2021. MGARD+ : Optimizing multilevel methods for error-bounded scientific data reduction . IEEE Trans. Comput . ( 2021 ). Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David R Pugmire, Matthew Wolf, Norbert Podhorszki, and Scott Klasky. 2021. MGARD+: Optimizing multilevel methods for error-bounded scientific data reduction. IEEE Trans. Comput. (2021)."},{"key":"e_1_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Xin Liang Kai Zhao Sheng Di Sihuan Li Robert Underwood Ali M Gok Jiannan Tian Junjing Deng Jon C Calhoun Dingwen Tao etal 2022. SZ3: A modular framework for composing prediction-based error-bounded lossy compressors. IEEE Transactions on Big Data (2022).  Xin Liang Kai Zhao Sheng Di Sihuan Li Robert Underwood Ali M Gok Jiannan Tian Junjing Deng Jon C Calhoun Dingwen Tao et al. 2022. SZ3: A modular framework for composing prediction-based error-bounded lossy compressors. IEEE Transactions on Big Data (2022).","DOI":"10.1109\/TBDATA.2022.3201176"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.2151\/sola.2017-001"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346458"},{"key":"e_1_2_1_46_1","volume-title":"Error distributions of lossy floating-point compressors","author":"Lindstrom Peter","unstructured":"Peter Lindstrom . 2017. Error distributions of lossy floating-point compressors . Technical Report. Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States) . Peter Lindstrom. 2017. Error distributions of lossy floating-point compressors. Technical Report. Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States)."},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2006.143"},{"key":"e_1_2_1_48_1","volume-title":"Marching cubes: A high resolution 3D surface construction algorithm. ACM siggraph computer graphics 21, 4","author":"Lorensen William E","year":"1987","unstructured":"William E Lorensen and Harvey E Cline . 1987. Marching cubes: A high resolution 3D surface construction algorithm. ACM siggraph computer graphics 21, 4 ( 1987 ), 163--169. William E Lorensen and Harvey E Cline. 1987. Marching cubes: A high resolution 3D surface construction algorithm. ACM siggraph computer graphics 21, 4 (1987), 163--169."},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2020.104599"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.1469618"},{"key":"e_1_2_1_51_1","volume-title":"Raniele F\u00e1tima Pinheiro, and Rosmeri PorfiRio Da Rocha.","author":"Reboita Michelle Sim\u00f5es","year":"2019","unstructured":"Michelle Sim\u00f5es Reboita , T\u00e9rcio Ambrizzi , Bruna Andrelina Silva , Raniele F\u00e1tima Pinheiro, and Rosmeri PorfiRio Da Rocha. 2019 . The South Atlantic subtropical anticyclone: present and future climate. Frontiers in Earth Science ( 2019), 8. Michelle Sim\u00f5es Reboita, T\u00e9rcio Ambrizzi, Bruna Andrelina Silva, Raniele F\u00e1tima Pinheiro, and Rosmeri PorfiRio Da Rocha. 2019. The South Atlantic subtropical anticyclone: present and future climate. Frontiers in Earth Science (2019), 8."},{"key":"e_1_2_1_52_1","volume-title":"Data compression for the exascale computing era-survey. Supercomputing frontiers and innovations 1, 2","author":"Son Seung Woo","year":"2014","unstructured":"Seung Woo Son , Zhengzhang Chen , William Hendrix , Ankit Agrawal , Wei-keng Liao, and Alok Choudhary . 2014. Data compression for the exascale computing era-survey. Supercomputing frontiers and innovations 1, 2 ( 2014 ), 76--88. Seung Woo Son, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Wei-keng Liao, and Alok Choudhary. 2014. Data compression for the exascale computing era-survey. Supercomputing frontiers and innovations 1, 2 (2014), 76--88."},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2017.115"},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2003.819783"},{"key":"e_1_2_1_55_1","volume-title":"2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 567--577","author":"Underwood Robert","year":"2020","unstructured":"Robert Underwood , Sheng Di , Jon C Calhoun , and Franck Cappello . 2020 . Fraz: a generic high-fidelity fixed-ratio lossy compression framework for scientific floating-point data . In 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 567--577 . Robert Underwood, Sheng Di, Jon C Calhoun, and Franck Cappello. 2020. Fraz: a generic high-fidelity fixed-ratio lossy compression framework for scientific floating-point data. In 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 567--577."},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/30.125072"},{"key":"e_1_2_1_57_1","volume-title":"Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. arXiv preprint arXiv:2204.00711","author":"Wang Daoce","year":"2022","unstructured":"Daoce Wang , Jesus Pulido , Pascal Grosset , Sian Jin , Jiannan Tian , James Ahrens , and Dingwen Tao . 2022. Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. arXiv preprint arXiv:2204.00711 ( 2022 ). Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James Ahrens, and Dingwen Tao. 2022. Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. arXiv preprint arXiv:2204.00711 (2022)."},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/362084.362137"},{"key":"e_1_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/214762.214771"},{"key":"e_1_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00148"},{"key":"e_1_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.14778\/3236187.3236203"},{"key":"e_1_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00145"},{"key":"e_1_2_1_63_1","volume-title":"2020 IEEE International Conference on Big Data (Big Data). IEEE, 2716--2724","author":"Zhao Kai","year":"2020","unstructured":"Kai Zhao , Sheng Di , Xin Lian , Sihuan Li , Dingwen Tao , Julie Bessac , Zizhong Chen , and Franck Cappello . 2020 . SDRBench: Scientific data reduction benchmark for lossy compressors . In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2716--2724 . Kai Zhao, Sheng Di, Xin Lian, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, and Franck Cappello. 2020. SDRBench: Scientific data reduction benchmark for lossy compressors. In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2716--2724."},{"key":"e_1_2_1_64_1","volume-title":"MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics Simulations. In 2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 1--12","author":"Zhao Kai","year":"2022","unstructured":"Kai Zhao , Sheng Di , Danny Perez , Zizhong Chen , and Franck Cappello . 2022 . MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics Simulations. In 2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 1--12 . Kai Zhao, Sheng Di, Danny Perez, Zizhong Chen, and Franck Cappello. 2022. MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics Simulations. In 2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 1--12."}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3574245.3574255","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T23:25:29Z","timestamp":1677021929000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3574245.3574255"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":64,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["10.14778\/3574245.3574255"],"URL":"https:\/\/doi.org\/10.14778\/3574245.3574255","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"2023-02-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}