Zobrazeno 1 - 10
of 125
pro vyhledávání: '"James, Ahrens"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:4439-4454
Although supercomputers are becoming increasingly powerful, their components have thus far not scaled proportionately. Compute power is growing enormously and is enabling finely resolved simulations that produce never-before-seen features. However, I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e90cde74143997839fd37c974f606ed
https://doi.org/10.1109/tvcg.2020.3006426
https://doi.org/10.1109/tvcg.2020.3006426
Publikováno v:
2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::298291ac104e239b6921a9522f6e2028
https://doi.org/10.1109/drbsd56682.2022.00007
https://doi.org/10.1109/drbsd56682.2022.00007
Publikováno v:
2022 IEEE/ACM 4th International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5bf2897551822269bc0e88890d9343
https://doi.org/10.1109/canopie-hpc56864.2022.00007
https://doi.org/10.1109/canopie-hpc56864.2022.00007
Autor:
James, Ahrens, Theresa-Marie, Rhyne
Publikováno v:
IEEE computer graphics and applications. 42(4)
Scientific visualization is a key approach to understanding the growing massive streams of data from scientific simulations and experiments. In this article, I review technology trends including the positive effects of Moore's law on science, the sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf48b516185c64951863d48c657c404e
https://pubmed.ncbi.nlm.nih.gov/35839167
https://pubmed.ncbi.nlm.nih.gov/35839167
Publikováno v:
Computing in Science & Engineering. 23:84-92
Application scientists often employ feature tracking algorithms to capture the temporal evolution of various features in their simulation data. However, as the complexity of the scientific features is increasing with the advanced simulation modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de345e43ec631f06cd5e59eeafdeef5c
https://doi.org/10.1109/mcse.2020.3047979
https://doi.org/10.1109/mcse.2020.3047979
Publikováno v:
Entropy, Vol 21, Iss 7, p 699 (2019)
With increasing computing capabilities of modern supercomputers, the size of the data generated from the scientific simulations is growing rapidly. As a result, application scientists need effective data summarization techniques that can reduce large
Externí odkaz:
https://doaj.org/article/c23fa512ac454c7a9b4a4e7dba647d99
Autor:
Divya Banesh, J. Lazarz, Devin Francom, Kyle J. Ramos, Richard L. Sandberg, Earl Lawrence, Darby J. Luscher, John L. Barber, James Ahrens, Cynthia Bolme, Ayan Biswas, Sven C. Vogel, Christopher M. Biwer, David J. Walters
Publikováno v:
Journal of Dynamic Behavior of Materials. 7:170-187
Many important aspects of the dynamic thermo-mechanical response of materials occur at the mesoscale, i.e. a physical scale of interactions smaller than what can be adequately described by homogenous behaviors, yet larger than the scale of the atomic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88e811d2214d04df10d5ea4e3548121e
https://doi.org/10.1007/s40870-020-00254-8
https://doi.org/10.1007/s40870-020-00254-8
Autor:
Bernd Hamann, Hari S. Viswanathan, Christoph Garth, Gowri Srinivasan, Jonas Lukasczyk, Heike Leitte, James Ahrens, Jeffrey D. Hyman, Garrett Aldrich
Publikováno v:
Computing in Science & Engineering. 22:64-76
We introduce an innovative ensemble analysis framework for organizing, searching, and comparing results produced by hundreds of physical simulations. Our web-based approach is built on standard technologies, utilizes a scalable and modular design, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a556b7325ee3696b47786eb53005d1f8
https://doi.org/10.1109/mcse.2019.2908104
https://doi.org/10.1109/mcse.2019.2908104
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031232190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d927dbad3c37de5e13d48352339c5ce
https://doi.org/10.1007/978-3-031-23220-6_19
https://doi.org/10.1007/978-3-031-23220-6_19
