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pro vyhledávání: '"E.W. Bethel"'
Akademický článek
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Autor:
G.M. Wallace, Z. Bai, R. Sadre, T. Perciano, N. Bertelli, S. Shiraiwa, E.W. Bethel, J.C. Wright
Publikováno v:
Journal of Plasma Physics. 88
Three machine learning techniques (multilayer perceptron, random forest and Gaussian process) provide fast surrogate models for lower hybrid current drive (LHCD) simulations. A single GENRAY/CQL3D simulation without radial diffusion of fast electrons
Akademický článek
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Autor:
Andrew Bauer, Hank Childs, Scott Klasky, Berk Geveci, Brad Whitlock, E.W. Bethel, Patrick O'Leary, James Ahrens, Hasan Abbasi, Venkatram Vishwanath, Kenneth Moreland
Publikováno v:
Computer Graphics Forum. 35:577-597
The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i.e., in situ processing, is due to several factors. First is an I/O cost savings, where data is ana
Publikováno v:
IEEE BigData
Heinemann, C; Perciano, T; Ushizima, D; & Bethel, EW. (2017). Distributed Memory Parallel Markov Random Fields using Graph Partitioning. 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 3332-3341. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0g13f631
Heinemann, C; Perciano, T; Ushizima, D; & Bethel, EW. (2017). Distributed Memory Parallel Markov Random Fields using Graph Partitioning. 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 3332-3341. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0g13f631
Markov random fields (MRF) based algorithms have attracted a large amount of interest in image analysis due to their ability to exploit contextual information about data. Image data generated by experimental facilities, though, continues to grow larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47d10c6315420c10ea03a993aebe0e52
https://escholarship.org/uc/item/0g13f631
https://escholarship.org/uc/item/0g13f631
Autor:
E.W. Bethel, Christopher Sewell, Hank Childs, Torsten Kuhlen, Jeremy S. Meredith, Kenneth Moreland, Berk Geveci, William J. Schroeder
Publikováno v:
Computer. 46:34-42
As the visualization research community reorients its software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data sources, massive parallelism, multiple input and output
Autor:
Daniela Ushizima, James A. Sethian, Dilworth Y. Parkinson, Talita Perciano, E.W. Bethel, Y. D. Mizrahi
Publikováno v:
ICIP
Markov Random Field (MRF) algorithms are powerful tools in image analysis to explore contextual information of data. However, the application of these methods to large data means that alternative approaches must be found to circumvent the NP-hard com
Akademický článek
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Autor:
Daniela Ushizima, Dmitriy Morozov, Andrea Gomes Campos Bianchi, Gunther H. Weber, James A. Sethian, E.W. Bethel
Publikováno v:
IEEE transactions on visualization and computer graphics, vol 18, iss 12
Ushizima, D; Morozov, D; Weber, GH; Bianchi, AGC; Sethian, JA; & Bethel, EW. (2012). Augmented topological descriptors of pore networks for material science. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2041-2050. doi: 10.1109/TVCG.2012.200. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0jw011qx
Ushizima, D; Morozov, D; Weber, GH; Bianchi, AGC; Sethian, JA; & Bethel, EW. (2012). Augmented topological descriptors of pore networks for material science. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2041-2050. doi: 10.1109/TVCG.2012.200. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0jw011qx
One potential solution to reduce the concentration of carbon dioxide in the atmosphere is the geologic storage of captured CO2 in underground rock formations, also known as carbon sequestration. There is ongoing research to guarantee that this proces
Autor:
E.W. Bethel, John Shalf
Publikováno v:
IEEE Computer Graphics and Applications. 23:51-59
The NERSC and Lawrence Berkeley National Laboratory visualization group has developed the Visapult tool to attack grand challenge problems. Visapult is a distributed, parallel, volume rendering application that leverages parallel computation and high