Zobrazeno 1 - 10
of 98
pro vyhledávání: '"David Pugmire"'
Autor:
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100561- (2020)
We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses scientific data management needs ranging from scalable I/O in supercomputers, to data analysis in personal computer and cloud systems. Version 2 intr
Externí odkaz:
https://doaj.org/article/1b10ffd8ae92432b9967bc2e0905e38d
Autor:
David Pugmire
Publikováno v:
European Journal of Analytic Philosophy, Vol 2, Iss 1, Pp 7-27 (2006)
For a long time most philosophers and some psychologists sought to understand emotions in terms of the thoughts they characteristically involve. Recent achievements in neuroscience and experimental psychology have encouraged radical change: it has be
Externí odkaz:
https://doaj.org/article/329455d5704f4370bece29a3658697f0
Autor:
Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:4134-4147
Autor:
Lipeng Wan, David Pugmire, Xin Liang, Matthew Wolf, Dingwen Tao, Jieyang Chen, James Kress, Scott Klasky, Qing Liu, Norbert Podhorszki, Ben Whitney
Publikováno v:
IEEE Transactions on Computers. 71:1522-1536
Data management is becoming increasingly important in dealing with the large amounts of data produced by large-scale scientific simulations and instruments. Existing multilevel compression algorithms offer a promising way to manage scientific data at
Autor:
Shinjae Yoo, Logan Ward, Nikoli Dryden, Ramakrishnan Kannan, Rajeev Thakur, Bert Debusschere, Ganesh Sivaraman, Sutanay Choudhury, Zhengchun Liu, Neeraj Kumar, Peter Nugent, Francis J. Alexander, Sudip K. Seal, Shantenu Jha, James A. Ang, David Pugmire, Li Tan, Ian Foster, Yunzhi Huang, Paul M. Welch, Cristina Garcia Cardona, Sivasankaran Rajamanickam, Thomas Proffen, Ai Kagawa, Malachi Schram, Byung-Jun Yoon, Jamaludin Mohd-Yusof, Erin McCarthy, Tiernan Casey, Sotiris S. Xantheas, Vinay Ramakrishniah, Jan Balewski, Sayan Ghosh, Brian Van Essen, Michael M. Wolf, Christine Sweeney, J. Austin Ellis, Peter Harrington, Jong Choi, Yosuke Oyama, Naoya Maruyama, Satoshi Matsuoka, Jenna A. Bilbrey, Kevin G. Yager, Anthony M. DeGennaro, Travis Johnston, Ryan Chard
Publikováno v:
The International Journal of High Performance Computing Applications. 35:598-616
Rapid growth in data, computational methods, and computing power is driving a remarkable revolution in what variously is termed machine learning (ML), statistical learning, computational learning, and artificial intelligence. In addition to highly vi
Autor:
Kenneth Moreland, Vicente Bolea, Hank Childs, Nickolas Davis, Mark Kim, James Kress, Matthew Letter, Li-Ta Lo, Robert Maynard, Sujin Philip, David Pugmire, Nick Thompson, Allison Vacanti, Abhishek Yenpure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e028a3072857b0936594bce5c002be36
https://doi.org/10.2172/1895214
https://doi.org/10.2172/1895214
Autor:
Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin Huck, Ralph Kube, Aaron Scheinberg, Frederic Suter, Choongseock Chang, Todd Munson, Norbert Podhorszki, Scott Klasky
Publikováno v:
2022 IEEE International Conference on Cluster Computing (CLUSTER).
Autor:
Shuangxi Zhang, Berk Geveci, Matthew Wolf, Kevin Huck, E. Suchyta, Cameron W. Smith, Ruonan Wang, Stephane Ethier, Philip E. Davis, Manish Parashar, Pradeep Subedi, Gabriele Merlo, Abolaji Adesoji, Norbert Podhorszki, Qing Liu, Todd Munson, Shirley Moore, Mark S. Shephard, C.S. Chang, Jeremy Logan, Jong Choi, Lipeng Wan, Kai Germaschewski, David Pugmire, Ian Foster, Scott Klasky, Kshitij Mehta, Chris Harris, Julien Dominski
Publikováno v:
The International Journal of High Performance Computing Applications. 36:106-128
We present the Exascale Framework for High Fidelity coupled Simulations (EFFIS), a workflow and code coupling framework developed as part of the Whole Device Modeling Application (WDMApp) in the Exascale Computing Project. EFFIS consists of a library
Visualization and analysis of multivariate data and their uncertainty are top research challenges in data visualization. Constructing fiber surfaces is a popular technique for multivariate data visualization that generalizes the idea of level-set vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da1b0d6772caabff7651ea9893d1b47a
http://arxiv.org/abs/2207.11318
http://arxiv.org/abs/2207.11318
Autor:
Daniel Peter, Dimitri Komatitsch, David Pugmire, Y. Ruan, Norbert Podhorszki, Ebru Bozdag, W. Lei, Judith Hill, Jeroen Tromp, Matthieu Lefebvre
Publikováno v:
Geophysical Journal International. 223:1-21
SUMMARY Building on global adjoint tomography model GLAD-M15, we present transversely isotropic global model GLAD-M25, which is the result of 10 quasi-Newton tomographic iterations with an earthquake database consisting of 1480 events in the magnitud