Fulfilling the Promises of Lossy Compression for Scientific Applications

Author:

Cappello Franck,Di Sheng,Gok Ali Murat

Publisher

Springer International Publishing

Cited by 7 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. A compression-based memory-efficient optimization for out-of-core GPU stencil computation;The Journal of Supercomputing;2023-02-20

2. Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper;New Trends in Database and Information Systems;2023

3. Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

4. Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets;2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD);2022-11

5. Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data;2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD);2022-11

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