SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors

Author:

Zhao Kai,Di Sheng,Lian Xin,Li Sihuan,Tao Dingwen,Bessac Julie,Chen Zizhong,Cappello Franck

Funder

National Science Foundation

Publisher

IEEE

Cited by 45 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. Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

3. CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03

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

5. An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

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