Author:
Luo Huizhang,Huang Dan,Liu Qing,Qiao Zhenbo,Jiang Hong,Bi Jing,Yuan Haitao,Zhou Mengchu,Wang Jinzhen,Qin Zhenlu
Cited by
11 articles.
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1. Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22
2. Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12
3. AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11
4. Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11
5. CEAZ;Proceedings of the 36th ACM International Conference on Supercomputing;2022-06-28