In Situ Visualization of WRF Data Using Universal Data Junction-Reference-Cited by-同舟云学术

In Situ Visualization of WRF Data Using Universal Data Junction

Published:2021 Issue: Volume: Page:475-483
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Esposito Aniello^ORCID,Holst Glendon

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-90539-2_32

Reference9 articles.

1. Ayachit, U., et al.: Paraview catalyst: enabling in situ data analysis and visualization. In: ISAV2015: Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, vol. 1, no. (1), pp. 25–29, November 2015. https://doi.org/10.1145/2828612.2828624. https://dl.acm.org/doi/10.1145/2828612.2828624

2. Bauer, A.C., et al.: In situ methods, infrastructures, and applications on high performance computing platforms. Comput. Graph. Forum 35(3), 577–597 (2016)

3. Boyuka, D.A., et al.: Transparent in situ data transformations in adios. In: Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGRID 2014, pp. 256–266. IEEE Press (2014). https://doi.org/10.1109/CCGrid.2014.73

4. Godoy, W.F., et al.: ADIOS 2: the adaptable input output system. A framework for high-performance data management. SoftwareX 12, 100561 (2020). https://doi.org/10.1016/j.softx.2020.100561. https://www.sciencedirect.com/science/article/pii/S2352711019302560

5. Holst, G., Dasari, H.P., Markomanolis, G., Hoteit, I., Theussl, T.: Inshimtu - a lightweight in-situ visualization “shim” (2017). https://woiv.gitlab.io/woiv17/ISC_WOIV_Holst.pdf

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1. Universal Data Junction: A Transport Layer for Data Driven Workflows;Proceedings of the Platform for Advanced Scientific Computing Conference;2023-06-26

2. Inshimtu – A Lightweight In Situ Visualization “Shim”;Lecture Notes in Computer Science;2023