Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Nicole Marsaglia"'
Publikováno v:
2022 IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28cd5bef13cadb3a28d00a8633f99ca9
https://doi.org/10.1109/isav56555.2022.00008
https://doi.org/10.1109/isav56555.2022.00008
Publikováno v:
2022 IEEE 12th Symposium on Large Data Analysis and Visualization (LDAV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b8756c2d5f53dc84ea07e8b7025303c
https://doi.org/10.1109/ldav57265.2022.9966427
https://doi.org/10.1109/ldav57265.2022.9966427
Publikováno v:
2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf86c8e4f1501926af3b108417ecc68
https://doi.org/10.1109/ldav53230.2021.00015
https://doi.org/10.1109/ldav53230.2021.00015
Publikováno v:
ISAV@SC
This work considers evaluating in situ triggers using reconstruction error. Our experiments use data from the Nyx and Cloverleaf simulation codes, and focus on two key topics. The first topic aims to increase understanding of total reconstruction err
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27429da76da4f2639fa8e7d161a36159
https://doi.org/10.1145/3426462.3426469
https://doi.org/10.1145/3426462.3426469
Autor:
Scott Klasky, Matthew Wolf, Berk Geveci, Lipeng Wan, Dmitry Ganyushin, Jong Choi, Jeremy Logan, E. Suchyta, Jieyang Chen, Kshitij Mehta, Norbert Podhorszki, Nicholas Thompson, Hank Childs, Steven Walton, Xin Liang, David Pugmire, James Kress, Caitlin Ross, Nicole Marsaglia, Mark Kim
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030633929
SMC
SMC
One of the primary challenges facing scientists is extracting understanding from the large amounts of data produced by simulations, experiments, and observational facilities. The use of data across the entire lifetime ranging from real-time to post-h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8a7b37988ebde10b4593d96e4b26e4b
https://doi.org/10.1007/978-3-030-63393-6_11
https://doi.org/10.1007/978-3-030-63393-6_11
Publikováno v:
Computer Graphics Forum. 37:422-447
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f1f33307b34d16918ec5e7f2937041b
https://doi.org/10.1111/cgf.13336
https://doi.org/10.1111/cgf.13336
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030024642
ISC Workshops
ISC Workshops
We explore a technique for saving full spatiotemporal simulation data for visualization and analysis. While such data is typically prohibitively large to store, we consider an in situ reduction approach that takes advantage of temporal coherence to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::946195f6054902bc920ff0fa3bebd430
https://doi.org/10.1007/978-3-030-02465-9_19
https://doi.org/10.1007/978-3-030-02465-9_19
Autor:
Larsen, Matthew, Woods, Amy, Marsaglia, Nicole, Biswas, Ayan, Dutta, Soumya, Harrison, Cyrus, Childs, Hank
Publikováno v:
ACM International Conference Proceeding Series; 11/11/2018, p1-6, 6p
Autor:
Dauvergne, Duncan
Publikováno v:
Journal of the American Mathematical Society; Oct2022, Vol. 35 Issue 4, p1215-1267, 53p
High-performance computing trends are requiring in situ processing increasingly often. This work considers automating camera placement for in situ visualization, specifically of isosurfaces, which is needed when there is no human in the loop and no a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc014cdb58a9d43b50e0309f6ee1d6f5