Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization-Reference-Cited by-同舟云学术

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Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization

Published:2017-05 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Author:

Tao Dingwen,Di Sheng,Chen Zizhong,Cappello Franck

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7965806/7967079/07967203.pdf?arnumber=7967203

Cited by 182 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

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4. GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data;Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures;2024-06-03

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