A Computational Model for Interactive Visualization of High-Performance Computations
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49435-2_9
Reference15 articles.
1. Bennett, J.C., et al.: Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. In: International Conference for High Performance Computing, Networking, Storage and Analysis, SC, vol. 49, pp. 1–49:9 (2012). https://doi.org/10.1109/sc.2012.31
2. Childs, H., Ahern, S.D., Ahrens, J., et al.: A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6), 676–691 (2020). https://doi.org/10.1177/1094342020935991
3. Moreland, K., Bauer, A.C., Geveci, B., O’Leary, P., Whitlock, B.: Leveraging production visualization tools in situ. In: Childs, H., Bennett, J.C., Garth, C. (eds.) In Situ Visualization for Computational Science. Mathematics and Visualization, pp. 205–231. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-81627-8_10
4. Vasev, P.: Analyzing an ideas used in modern HPC computation steering. In: 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), Yekaterinburg, Russia, pp. 1–4 (2020). https://doi.org/10.1109/usbereit48449.2020.9117685
5. Potekhin, A.L.: On one way of organizing data structures in scientific visualization systems. Issues of atomic science and technology. Math. Model. Phys. Process. (4), 64–71 (2022). https://doi.org/10.53403/24140171_2022_4_64 (in Russian)
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