A methodology for evaluating the impact of data compression on climate simulation data-Reference-Cited by-同舟云学术

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A methodology for evaluating the impact of data compression on climate simulation data

Published:2014 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd international symposium on High-performance parallel and distributed computing - HPDC '14
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Author:

Baker Allison H.,Xu Haiying,Dennis John M.,Levy Michael N.,Nychka Doug,Mickelson Sheri A.,Edwards Jim,Vertenstein Mariana,Wegener Al

Publisher

ACM Press

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

2. TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations;IEEE Transactions on Parallel and Distributed Systems;2024-03

3. SbMBR Tree—A Spatiotemporal Data Indexing and Compression Algorithm for Data Analysis and Mining;Applied Sciences;2023-09-22

4. Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach;Journal of Agricultural, Biological and Environmental Statistics;2023-05-11

5. Efficient Spatiotemporal Big Data Indexing Algorithm with Loss Control;Communications in Computer and Information Science;2023

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