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AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.

D. Wang, J. Pulido, P. Grosset, J. Tian, S. Jin, H. Tang, J. Sexton, S. Di, K. Zhao, B. Fang, Z. Lukic, F. Cappello, J. Ahrens, и D. Tao. SC, стр. 44:1-44:15. ACM, (2023)

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Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Paul Wang

Lien Wang

Scheifoo Wang

Другие публикации лиц с тем же именем

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.D. Wang, J. Pulido, P. Grosset, J. Tian, S. Jin, H. Tang, J. Sexton, S. Di, K. Zhao, B. Fang и 4 other автор(ы). SC, стр. 44:1-44:15. ACM, (2023)TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.D. Wang, J. Pulido, P. Grosset, S. Jin, J. Tian, J. Ahrens, и D. Tao. HPDC, стр. 135-147. ACM, (2022)TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.D. Wang, J. Pulido, P. Grosset, S. Jin, J. Tian, K. Zhao, J. Ahrens, и D. Tao. CoRR, (2023)Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.D. Wang, J. Pulido, P. Grosset, J. Tian, J. Ahrens, и D. Tao. SC Workshops, стр. 263-271. ACM, (2023)Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.S. Jin, S. Di, F. Vivien, D. Wang, Y. Robert, D. Tao, и F. Cappello. EuroSys, стр. 981-998. ACM, (2024)Research on the Monitoring Method of the Road Communication Network Quality Based on Vehicle Borne Internet of Things.B. Ji, X. Liu, T. Ke, R. Kuang, Z. Gao, и D. Wang. ChinaCom (2), том 237 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 323-330. Springer, (2017)Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.B. Fang, D. Wang, S. Jin, Q. Koziol, Z. Zhang, Q. Guan, S. Byna, S. Krishnamoorthy, и D. Tao. CLUSTER, стр. 409-420. IEEE, (2021)A Survey on Error-Bounded Lossy Compression for Scientific Datasets.S. Di, J. Liu, K. Zhao, X. Liang, R. Underwood, Z. Zhang, M. Shah, Y. Huang, J. Huang, X. Yu и 15 other автор(ы). CoRR, (2024)A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.D. Wang, P. Grosset, J. Pulido, T. Athawale, J. Tian, K. Zhao, Z. Lukic, A. Huebl, Z. Wang, J. Ahrens и 1 other автор(ы). CoRR, (2024)

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Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Paul Wang

Lien Wang

Scheifoo Wang

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