The Adaptable IO System (ADIOS)-Reference-Cited by-同舟云学术

The Adaptable IO System (ADIOS)

Published:2022 Issue: Volume: Page:233-254
ISSN:1612-3786
Container-title:Mathematics and Visualization
language:
Short-container-title:

Author:

Pugmire David,Podhorszki Norbert,Klasky Scott,Wolf Matthew,Kress James,Kim Mark,Thompson Nicholas,Logan Jeremy,Wang Ruonan,Mehta Kshitij,Suchyta Eric,Godoy William,Choi Jong,Ostrouchov George,Wan Lipeng,Chen Jieyang,Atkins Berk Geveci Chuck,Ross Caitlin,Eisenhauer Greg,Gu Junmin,Wu John,Huebl Axel,Tsutsumi Seiji

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-81627-8_11

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4. Ainsworth, M., Tugluk, O., Whitney, B., Klasky, S.: Multilevel techniques for compression and reduction of scientific data-quantitative control of accuracy in derived quantities. SIAM J. Sci. Comput. 41(4), A2146–A2171 (2019)

5. Chen, J., Pugmire, D., Wolf, M., Thompson, N., Logan, J., Mehta, K., Wan, L., Choi, J.Y., Whitney, B., Klasky, S.: Understanding performance-quality trade-offs in scientific visualization workflows with lossy compression. In: 2019 IEEE/ACM 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5). IEEE (2019). https://doi.org/10.1109/drbsd-549595.2019.00006

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